8 posts tagged with "kafka"

53 releases since Spice 1.0-stable, Spice.ai OSS has reached the 2.0-stable milestone! 🎉

Spice v2.0.0 is the next major release of Spice and a major milestone in the project's development, advancing Spice from a single-node engine into a distributed data and query platform built for enterprise AI agents. These agents need low-latency, governed access to data spread across many production systems, and because they generate their own queries autonomously, that access has to be sandboxed, observable, and able to absorb occasional heavy analytical queries without overwhelming the underlying systems. The release is headlined by multi-node distributed query, now generally available — multi-active, highly-available, and object-store-native, built on Apache Ballista — distributing both query execution and ingestion across executors with data-local routing and per-executor statistics for distributed join planning. Alongside it, the Spice Cayenne data accelerator is generally available, built on the Vortex compressed columnar format, with a high-throughput CDC write path, MERGE INTO, SQL-defined partitioning, inline writes, a dedicated compaction runtime, and write-path statistics for distributed join sizing. The engine also moves to DataFusion v52 with sort pushdown, a rewritten merge join, and dynamic filters, and the Spice CLI is rewritten in Rust as a single self-contained binary.

v2.0 also expands real-time and write-path capabilities across the platform: native CDC from MongoDB Change Streams and PostgreSQL WAL logical replication, durable Kafka CDC offsets, DML write-back for PostgreSQL, Snowflake, DynamoDB, Arrow, and DuckLake, DDL and MERGE INTO for Iceberg catalogs, mutual TLS across server endpoints and outbound connectors, HashiCorp Vault and Azure Key Vault secret stores, user-defined functions, hybrid search with Elasticsearch and DuckDB HNSW vector indexes, provider-aware LLM prompt caching, and the Responses API across all model providers.

Highlights in v2.0.0 include:​

• Spice Cayenne (GA) — generally available on the Vortex compressed columnar format, with WAL-staged writes, inline low-latency writes, fast-path CDC deletes, merge-on-read position deletes, composite & SQL-defined partitioning, MERGE INTO, dedicated compaction runtime, and join-sizing statistics maintained on the write path
• Multi-Active HA Distributed Query (GA) — multi-node distributed query built on Apache Ballista, with object-store-native clustering, dynamic cluster sizing, distributed ingestion, data-local query routing, per-executor table statistics for distributed join planning, and async queries via /v1/queries
• Mutual TLS (mTLS) — public mTLS for HTTP and Flight, TLS cert hot-reload, and mTLS client certificates for FlightSQL and Spice.ai connectors
• Enterprise Authentication & Authorization — OIDC bearer-token verification and Cedar-based authorization policy with per-principal row- and column-level filtering
• New Secret Stores — HashiCorp Vault and Azure Key Vault
• CDC Sources — native MongoDB Change Streams, PostgreSQL WAL logical replication, and durable Kafka CDC offsets — no Debezium or Kafka middleware required
• DML & DDL — INSERT/UPDATE/DELETE write-back for PostgreSQL, Snowflake, DynamoDB, and Arrow; CREATE TABLE/DROP TABLE and MERGE INTO for Iceberg catalogs
• User-Defined Functions — SQL UDFs in spicepods, remote UDFs over HTTP, and optional geospatial ST_* UDFs
• On-Demand Dataset Loading & Unified Query Cancellation — faster startup and end-to-end cancellation across HTTP, Flight, FlightSQL, and MCP
• Dynamic HTTP Connector — OAuth2 refresh tokens, pagination, dynamic headers, subquery-driven parameters, and rate-control state persisted across restarts
• Storage-Profile Accelerator Tuning & refresh_mode: snapshot — storage-aware acceleration defaults and point-in-time snapshot acceleration
• Search & Vectors — Elasticsearch data connector with native hybrid search, DuckDB HNSW vector engine with a statically linked VSS extension, multi-vector MaxSim embeddings, and a rerank() UDTF
• AI & LLM — provider-aware prompt caching, Responses API across all providers, MCP Streamable HTTP transport, and a searchable LLM tool registry
• New Data Connectors — Elasticsearch (Alpha), GCS (Alpha), Azure Cosmos DB (Alpha), Git (RC), ADBC, DuckLake (Beta), and catalog connectors for PostgreSQL, MySQL, MSSQL, and Snowflake
• Rust CLI — single-binary spice CLI with spice query async REPL, shell completions, and --output=json
• Dependency upgrades including DataFusion v52.5, DuckDB v1.5.3, Arrow v57.2, iceberg-rust v0.9.1, Turso v0.6.1, and Vortex v0.69

Spice v2.0 includes several breaking changes. Review the breaking changes section before upgrading.

Distribution Changes​

AI/ML support including local LLM/ML model and hosted LLM inference is now included in the default Spice build and image. The separate models build variant has been removed.

With models now included by default, the data-only distribution (without AI/ML support) is only published in nightly builds. Official production-ready data-only distributions are available exclusively through Spice Cloud and the Enterprise release.

A new Network Attached Storage (NAS) distribution with built-in SMB and NFS data connector support is also available in nightly builds and with Spice.ai Enterprise.

Native Windows builds are no longer provided; use WSL for local development. For more details, see the Distributions documentation.

What's New in v2.0.0​

Spice Cayenne Reaches General Availability​

The Spice Cayenne data accelerator is generally available in v2.0, with a major focus across the release candidates on write-path throughput, correctness, and distributed operation.

Write path & ingest:

• Staged Append Writes: WAL-based staged append writes prevent partial writes and data loss on stream errors — batches commit atomically.
• Inline Writes: Small writes are serialized as Arrow IPC and committed directly into the Cayenne metastore, bypassing the staged Vortex write path for low-latency ingest. Inline upserts atomically rewrite existing inline rows, inline data stays query-visible via an in-memory union scan, and rows are checkpointed to Vortex when thresholds are reached. Inline writes now also proceed with pending deletions in flight, and inline flush caps scale with available memory and storage class.
• Fast-Path CDC Deletes: DELETE statements whose filters identify primary keys directly — including composite keys expressed as (k1, k2) IN ((...), (...)) — skip the table scan entirely.
• Merge-On-Read Position Deletes: Primary-key upsert tables use position deletes with memory-pool accounting, avoiding full-table rewrites on update-heavy workloads.
• Resident Upsert Keysets: CDC upsert primary-key keysets stay resident between batches, avoiding per-batch full-table rebuilds.
• CDC Sub-Batch Efficiency: Interleaved upsert/delete workloads produce fewer sub-batch splits, with last-write-wins deduplication applied within batches.
• Dedicated Compaction Runtime: Background compaction runs on a dedicated thread pool with CDC pipelining and protected snapshots, isolating compaction work from query and ingest paths.

Query & planning:

• Join Filter Propagation: Filters propagate across equi-join keys, with range fallback for large join filters and IN-list rewrites.
• Write-Path Join-Sizing Statistics: Cayenne maintains live row counts and HyperLogLog-based distinct-value estimates on the write path, so distributed JoinSelection can correctly size joins without rescans.
• Scan-Result Cache: A new scan-result cache accelerates hot reads, with parallel Vortex partition writes and lock-free deletion caches with bloom-prefiltered probes.

SQL & catalog:

• MERGE INTO: Upsert-style MERGE INTO for Cayenne catalog tables, distributed across executors in cluster mode.
• PARTITION BY in SQL: Define partitioning directly in CREATE TABLE ... PARTITION BY (...); metadata is persisted in the catalog and survives restarts.
• Composite Partitioning: partition_by: [col1, col2] with hierarchical path-like keys.
• File-Based Retention Deletes: Time-based retention uses file-level deletes for both position-based and primary-key tables.

Correctness: Synchronized partition commits, correct NULL-sentinel handling for nullable partition expressions, tombstoned inline-checkpointed rows on upsert (preventing duplicate primary keys), and live reads through expired protected snapshots.

Multi-Active HA Distributed Query (GA)​

Spice.ai Enterprise feature. See High Availability.

Distributed Query is generally available. Built on Apache Ballista, it distributes query execution across multiple active executor nodes with no single point of failure, reading directly from object storage rather than relying on a central cluster.

Distributed query supports two execution modes:

• Synchronous: Queries for accelerated datasets are distributed across executors and results stream back in real-time — best for interactive, latency-sensitive queries.
• Asynchronous: Queries submitted via the HTTP /v1/queries API materialize results to object storage for later retrieval — best for long-running analytical and batch workloads.

Key capabilities:

• Dynamic Cluster Sizing: The planner adjusts parallelism to the number of active executors as nodes join or leave.
• Distributed Ingestion: Ingestion for partitioned accelerated tables is distributed across executors, with partition-aware write-through splitting scheduler-side Flight DoPut writes to the responsible executors.
• Data-Local Query Routing: Cayenne catalog queries route to the executors holding the relevant partitions.
• Per-Executor Table Statistics: Executors report table statistics — including NDV-aware estimates — so distributed JoinSelection can size joins correctly, fixing out-of-memory conditions on large semi-joins.
• Readiness & Failure Detection: /v1/ready gates on a configurable executor quorum for safe rolling deployments; scheduler readiness additionally waits for executor partition loads; executor heartbeat timeout reduced from 180s to 30s.
• Distributed DML & DDL: UPDATE/DELETE forwarding to all executors, executor DDL sync for late joiners, and distributed MERGE INTO.
• Cluster Observability: New cluster metrics (including scheduler_active_executors_count), distributed runtime.task_history replication, and a Grafana dashboard.
• Ballista S3 Shuffle: Async queries with runtime.params.shuffle_location: s3://... complete reliably with executor-environment-derived S3 clients.

Security: Mutual TLS, Secret Stores, and Hardening​

Several capabilities in this section are Spice.ai Enterprise features. See Enterprise Security.

Mutual TLS across the platform:

• Public mTLS for HTTP and Flight: client_auth_mode: request (optional, for migration windows) or required (strict) client-certificate verification.
• TLS Cert Hot-Reload: The runtime reloads TLS certificates on SIGHUP for zero-downtime rotation.
• Outbound mTLS Client Certificates: FlightSQL and Spice.ai data connectors present client certificates to upstream services; the spice sql REPL supports mTLS client auth.

runtime:
  tls:
    enabled: true
    certificate_file: /etc/spice/tls/server.crt
    key_file: /etc/spice/tls/server.key
    client_auth_mode: required
    client_auth_ca_file: /etc/spice/tls/client-ca.crt

Authentication & Authorization (Spice.ai Enterprise):

• OIDC Authentication: Validate OIDC bearer tokens (JWTs) issued by enterprise identity providers — Microsoft Entra ID, Okta, Auth0, AWS Cognito, and Google — for secure access to runtime endpoints, standalone or combined with API keys.
• Principal-Based Policy Enforcement: Fine-grained, Cedar-based authorization policy configured under runtime.authorization governs allow/deny access across datasets, models, tools, and endpoints. Combined with identity SQL functions (current_principal(), current_principal_email(), current_principal_groups()), policies enforce per-principal row-level filtering and column masking.

New Secret Stores: HashiCorp Vault (KV v1/v2; token, approle, kubernetes, and jwt auth with automatic lease renewal) and Azure Key Vault (service principal, managed identity, workload identity, Azure CLI, or auto-detect; sovereign cloud support).

Hardening:

• Read-only API Key Enforcement on the Flight DoGet path and async query endpoints.
• Per-Principal Cache Namespacing: SQL, search, and caching-accelerator caches are namespaced per authenticated principal so cached results never cross identity boundaries.
• API Key Timing Leak & Remote-UDF SSRF: Closed a timing-based position-disclosure leak in API key comparison and blocked SSRF via remote UDF endpoints.
• Snowflake Function Deny-List: A function deny-list is enforced in Snowflake federation pushdown, and Snowflake account identifiers and auth configuration are validated at startup.
• MCP allowed_hosts: MCP servers can be restricted to an explicit allowlist of upstream hosts.

Change Data Capture (CDC) Sources​

See Change Data Capture (CDC) for an overview of CDC in Spice.

• MongoDB Change Streams: MongoDB datasets with refresh_mode: changes stream changes natively into any local accelerator — no Debezium or Kafka required.
• PostgreSQL Native Replication (WAL): PostgreSQL datasets stream INSERT/UPDATE/DELETE directly from logical replication using pgoutput decoding, with automatic per-replica slot management, an initial REPEATABLE READ bootstrap snapshot, and durable LSN acknowledgement.
• Kafka CDC Offset Persistence: Kafka CDC offsets persist in sidecar tables for durable, resumable streams across restarts and failovers.
• Pipelined CDC Ingestion: Source reads overlap with batch apply, with envelope coalescing and improved nullability propagation.
• Debezium Schema Evolution: Schema changes in Debezium-sourced datasets no longer break dataset initialization on reload.

datasets:
  - from: postgres:my_table
    name: my_table
    params:
      pg_host: localhost
      pg_db: mydb
    acceleration:
      enabled: true
      engine: duckdb
      refresh_mode: changes

DML, DDL, and Write-Back​

Spice v2.0 turns more connectors and catalogs into full read/write tables:

• PostgreSQL DML: INSERT, UPDATE, and DELETE write-back on PostgreSQL datasets, with foreign-key metadata exposed via the PostgreSQL catalog connector.
• Snowflake DML: INSERT, UPDATE, and DELETE write-back on Snowflake datasets.
• DynamoDB DML: INSERT, UPDATE, and DELETE for DynamoDB, complementing read and CDC streaming.
• Arrow Primary Key Upserts: Native update-or-insert semantics for in-memory Arrow-accelerated tables.
• DDL for Iceberg: CREATE TABLE and DROP TABLE via FlightSQL and /v1/sql for Iceberg, with catalog.access: read_write_create.
• DuckLake INSERT: DuckLake catalog tables with read_write access support INSERT.

SQL & User-Defined Functions​

See the SQL Reference for the full SQL surface area.

• User-Defined Functions: Define reusable SQL UDFs as first-class spicepod components, or invoke remote functions over HTTP (Spice.ai Enterprise), plus table user functions.
• Spatial SQL UDFs: Optional geospatial ST_* UDFs for geometry workloads.
• JSON UDTFs: flatten_json, json_tree, and flatten_json_properties table-valued functions for JSON transformation and schema decomposition (with options such as expand_maps). See JSON Functions and Operators.
• PostgreSQL Metadata UDFs: Dataset and column descriptions are exposed via PostgreSQL-compatible UDFs (obj_description, col_description), so BI tools and psql surface Spice metadata.
• FlightSQL Substrait Plans: CommandStatementSubstraitPlan support for clients submitting Substrait-encoded plans.
• SQL REPL Expanded View: Toggle \x for a vertical key-value layout on wide result sets.
• Prepared statement, federation, and unparsing fixes across the engine, including keeping correlated subqueries out of JOIN ON conditions for Spice Cloud federation and correct EXISTS/NOT EXISTS subquery handling in the federation analyzer.

Runtime Features​

• On-Demand Dataset Loading: Datasets can be deferred — registered with a declared schema at startup (columns[].type, columns[].nullable) and fully resolved on first reference, reducing startup time and memory for large spicepods.
• Unified Query Cancellation: HTTP, Flight, FlightSQL, MCP, and internal execution paths honour a unified cancellation signal — disconnects, REPL Ctrl-C, and cancelled HTTP requests cancel the query end-to-end.
• Storage-Profile Accelerator Tuning: acceleration.storage_profile (auto, local_ssd, ebs, tmpfs) applies storage-aware defaults across DuckDB, SQLite, Turso, and Cayenne file-mode accelerators; auto detects the backing storage.
• refresh_mode: snapshot (Spice.ai Enterprise): Point-in-time snapshot acceleration with SQLite/Turso WAL flushing and Cayenne metastore slice integration, now reporting accurate readiness when no snapshot exists yet.
• Structured Component Errors: /v1/datasets?status=true and /v1/models?status=true return structured error objects (category, type, code) and human-readable error_message fields; the CLI shows an ERROR column.
• Actionable Config Errors: Parameter typos, missing secret references, and unknown engine names produce specific, actionable errors with suggestions.

Spicepod v2​

Spicepods now support version: v2, the default for spice init, while v1 spicepods continue to work with automatic migration of deprecated fields.

New v2 fields include runtime.ready_state, runtime.query.spill_compression, runtime.caching.sql_results.stale_while_revalidate_ttl, runtime.caching.sql_results.encoding, scheduler partition-assignment configuration, and catalog.access: read_write_create.

Data Connectors & Catalogs​

New connectors:

• Elasticsearch (Alpha, Spice.ai Enterprise): Query Elasticsearch indexes as SQL tables with native hybrid search — vector_search() kNN, text_search() BM25, and rrf() fusion — plus Elasticsearch as a backing vector engine, direct FTS engine configuration, and index lifecycle controls.
• GCS (Alpha): Federated queries against Google Cloud Storage, with Iceberg table support.
• Azure Cosmos DB (Alpha): Read-only NoSQL / Core SQL API connector with cross-partition scans and schema inference.
• Git (RC): HTTPS/SSH auth, Git LFS support, and per-repo connection resilience.
• ADBC: Data connector and catalog with full query federation, BigQuery support, and schema/table discovery.
• DuckLake (Beta): Lakehouse-style data management with DuckDB as the metadata catalog and object storage for data — ACID transactions, time travel, and schema evolution on Parquet.
• Self-Hosted Spice Connector: Connect Spice to another self-hosted Spice runtime as a federated source.

New catalog connectors for PostgreSQL, MySQL, MSSQL, and Snowflake, using native metadata catalogs for schema and table discovery. Unity Catalog compatibility extends to OSS Unity Catalog deployments, and DDL-defined catalogs can expose and query views.

HTTP connector: OAuth2 refresh-token authentication, query-parameter and no-limit pagination, dynamic request headers parameterised from query predicates, subquery-driven request parameters for fan-out queries, response metadata as queryable columns, map-to-array conversion, shared and persistent rate-control state across restarts and replicas, no caching of transient 429/5xx errors, and a correctly populated fetched_at column.

JSON ingestion: Single-object documents, JSONL, BOM-prefixed input, Socrata SODA responses, format auto-detection, and RFC 6901 json_pointer extraction of nested payloads.

Databricks: Resilience controls, Unity Catalog-aware permission prechecks with structured advisory errors, Classic SQL Warehouse foreign-table compatibility, connect_timeout/client_timeout parameters, a Databricks SQL dialect for federation, and Delta Lake column mapping (Name and Id modes).

Other connector improvements: MongoDB SRV support; MySQL mysql_zero_date_behavior; Snowflake OBJECT, MAP, GEOGRAPHY, GEOMETRY, VECTOR, and TIMESTAMP_LTZ types plus key-pair auth; ClickHouse Date32; S3 s3_url_style for path-style addressing and faster Parquet reads; GraphQL custom auth headers; Oracle and MSSQL sort/limit pushdown; GitHub GraphQL resilience; and improved Kafka reliability.

AI & LLM​

• Provider-Aware Prompt Caching: LLM calls automatically use provider-side prompt caching (e.g., Anthropic, OpenAI) for system prompts and tool descriptions, reducing latency and cost.
• Responses API Across All Providers: The Responses API works with every configured model provider, including streaming response.output_text.delta events and Authorization: Bearer header support.
• Multi-Vector Embeddings with MaxSim: List-of-string columns produce one embedding per element with MaxSim/mean/sum scoring for ColBERT-style late-interaction retrieval, plus a _match column identifying the best-matching element.
• rerank() UDTF: Reorder results from vector_search, text_search, or rrf using any registered chat model as a reranker, with automatic query propagation and pushdown support.
• Searchable LLM Tool Registry: Agents discover tools via semantic search instead of enumerating every tool in the system prompt.
• MCP Improvements: Streamable HTTP transport (/v1/mcp) on rmcp v1.5.0, native auth for streamable HTTP tools (mcp_auth_token, mcp_headers), external MCP server tool calls traced in task history, and configurable allowed_hosts.
• Per-Model Rate-Limited AI UDF Execution for controlling concurrent AI function invocations.

Search & Vectors​

• DuckDB Vector Engine: vector_engine: duckdb uses DuckDB's HNSW index for fast approximate nearest-neighbor search without an external vector store. In v2.0.0, the DuckDB VSS extension is statically linked into the bundled DuckDB, so HNSW vector search works out-of-the-box on clean machines with no extension download. HNSW indexes are preserved across data refresh, and cosine_distance pushes down via array_cosine_distance.
• Hybrid Search: Combine kNN vector search and BM25 full-text search with reciprocal rank fusion (rrf()), backed by Tantivy, Elasticsearch, or DuckDB.
• Full-Text Search Performance: Significantly faster Tantivy ingestion with rollback-on-error, and search metadata is correctly preserved on indexing and in Vortex physical schema calculation.
• Embedding Validation: row_id columns are validated during dataset initialization.

Caching​

Improvements across Caching:

• Stale-While-Revalidate: runtime.caching.sql_results.stale_while_revalidate_ttl serves stale results while revalidating in the background.
• Cache Encoding: Optional compression (e.g., zstd) for SQL results cache entries.
• Retention Policies for cached query results, and improved CDC-driven cache invalidation (including view plan invalidation on updates).
• Idle Cache Maintenance: Periodic maintenance drains invalidation predicates on idle caches, fixing unbounded memory growth in rarely-read caches.

Performance & Query Engine​

Apache DataFusion is upgraded to v52.5 over the course of the release cycle, bringing:

• Sort Pushdown to Scans: ~30x faster top-K queries on pre-sorted data; Parquet scans reverse row-group order for DESC on ASC-sorted files.
• Rewritten Sort-Merge Join: Up to three orders of magnitude faster in pathological cases (e.g., TPC-H Q21: minutes → milliseconds).
• Dynamic Filters: MIN/MAX aggregates and hash-join build sides prune files, row groups, and rows during execution.
• Faster CASE Expressions, statistics caching, and prefix-aware list-files caching for faster planning.
• TableProvider DELETE/UPDATE hooks and the RelationPlanner API for extensible SQL planning.
• Strict Overflow Handling: try_cast_to errors on overflow instead of silently producing NULLs.

Additional engine work: default query memory limit raised from 70% to 90% with GreedyMemoryPool, partial aggregation optimization for FlightSQLExec, improved partitioned query planning, and metastore transaction support to prevent concurrent conflicts.

Rust CLI​

The Spice CLI is completely rewritten from Go to Rust — a single spice binary built from the same codebase as spiced, with full feature parity across 27+ commands.

• spice query: Interactive REPL for async queries with multi-line SQL, progress indication, and cancellation.
• spice dataset configure: Non-interactive flag-based configuration (--from, --description, --param KEY=VALUE, --set) alongside interactive prompts.
• spice completions: Shell completion script generation.
• --output=json: Machine-readable output for scripting; spice login --output adds env, json, and keychain modes.
• spice init writes a yaml-language-server schema directive for IDE completions.

Observability​

• OpenTelemetry: Exporter fixes, authenticated metrics export, configurable metric name prefix (runtime.telemetry.metric_prefix), delta temporality by default, and OTLP resource attributes via runtime.telemetry.properties.
• Query Metrics: The query_executions metric gains a datasets dimension for per-dataset query attribution.
• Ingestion Metrics: rows_written, bytes_written, and dataset_acceleration_size_bytes for acceleration refresh and Flight DoPut/ADBC ingestion, and EXPLAIN ANALYZE metrics in FlightSQLExec.
• Task History: Distributed task history in cluster mode and tracing for external MCP server tool calls.

Notable Bug Fixes​

• localpod synchronization: localpod child datasets correctly track parent refreshes when the parent uses the in-memory Arrow accelerator.
• Spice Cloud federation: Correlated subqueries are kept out of JOIN ON conditions, fixing rejected federated queries.
• refresh_mode: snapshot: No longer reports Ready with empty data when no snapshot exists.
• Search metadata: Field and schema metadata preserved on search indexing and in Vortex physical schema calculation.
• HTTP connector: fetched_at column is correctly populated.
• Connector correctness: DynamoDB Streams transient-error retries and typed-NULL DML handling; ScyllaDB physical filter pushdown disabled to fix incorrect results; MSSQL TOP N pushdown; DuckDB DELETE/UPDATE on full and caching refresh modes; Turso checked arithmetic for timestamp conversions; ODBC queries no longer silently return 0 rows on failure; Flight GetFlightInfo/DoGet schema parity.

Dependency Updates​

Contributors​

• @cluster2600
• @ewgenius
• @Jeadie
• @krinart
• @lukekim
• @peasee
• @penberg
• @phillipleblanc
• @sgrebnov

Breaking Changes​

• Models included by default: The separate models build variant has been removed. Local LLM inference is always included in the default build and image.

• Windows native builds removed: Use WSL for local development.

• Spicepod version defaults to v2: spice init creates version: v2 spicepods. v1 remains supported with auto-migration; v1beta1 is no longer accepted.

• Flattened runtime.scheduler configuration: The nested runtime.scheduler.partition_management block is flattened and renamed:

  # Before
  runtime:
    scheduler:
      partition_management:
        interval: 30s
        max_assignments_per_cycle: 16
        discovery_timeout: 10s
  
  # After
  runtime:
    scheduler:
      partition_assignment_interval: 30s
      max_assignments_per_interval: 16
      partition_discovery_timeout: 10s
  

• S3 metadata columns renamed: location, last_modified, size → _location, _last_modified, _size.

• Default query memory limit changed: Increased from 70% to 90%.

• Metric renames: accelerated_refresh metrics renamed to acceleration_refresh; last_refresh_time gauge renamed to include the milliseconds unit.

• DuckDB parameter rename: partitioned_write_flush_threshold → partitioned_write_flush_threshold_rows.

• /v1/search API: Always returns an array in matches, even for single results.

• /v1/evals API removed.

• Perplexity model provider removed.

• x.ai model endpoint: x.ai models exclusively use the /v1/responses endpoint.

Upgrade Guide from v1.x​

Most v1 spicepods continue to work on v2.0 — v1 remains supported and deprecated fields auto-migrate at load time — so many deployments can upgrade by updating the binary or image alone. The steps below cover the breaking changes that may require manual action. Review each before upgrading a production deployment.

1. Build, image, and platform changes​

• Models are now included by default. The separate models build variant (and the corresponding -models image tags) has been removed; local LLM inference is always included in the default build and image. If your deployment pinned a models build or -models-tagged image, switch to the default build/image.
• Native Windows builds are removed. Use WSL for local Windows development.

2. Adopt Spicepod v2 (recommended)​

spice init now creates version: v2 spicepods. v1 spicepods remain supported with automatic migration, but v1beta1 is no longer accepted. To move to v2, set version: v2 and update the following fields — each auto-migrates from v1, but updating now clears the deprecation:

3. Update changed configuration​

• DuckDB parameter rename: partitioned_write_flush_threshold → partitioned_write_flush_threshold_rows.
• Default query memory limit raised from 70% to 90%. If you relied on the previous default to leave headroom for other processes on the host, set it explicitly via runtime.query.memory_limit.

4. Update queries and API clients​

• S3 metadata columns renamed: location, last_modified, size → _location, _last_modified, _size. Update any queries that reference these columns.
• /v1/search always returns an array in matches, even for a single result. Update clients that assumed a scalar value.
• /v1/evals API removed. Remove integrations that depend on it.

5. Update model providers​

• Perplexity model provider removed. Re-point affected models to another provider.
• x.ai models use the /v1/responses endpoint exclusively. Ensure x.ai integrations target the Responses API.

6. Update observability​

• Metric renames: accelerated_refresh → acceleration_refresh, and the last_refresh_time gauge is renamed to include the milliseconds unit. Update dashboards and alerts that reference these metric names.

After updating, restart the runtime and verify datasets and models report ready via /v1/datasets?status=true and /v1/models?status=true (the CLI shows a Ready/ERROR column).

Cookbook Updates​

New Spice Cookbook recipes added during the v2.0 release cycle:

• Async Queries: Submit long-running queries asynchronously and retrieve results later.
• DuckLake Catalog: Lakehouse-style data management with ACID transactions and time travel.
• Distributed Query: Run Spice in multi-active distributed cluster mode.
• mTLS: Mutual TLS for HTTP and Flight endpoints.
• Elasticsearch Connector: Query Elasticsearch indexes as SQL tables.
• MCP Server: Use Spice as an MCP server over Streamable HTTP.
• Snowflake DML: Write-back to Snowflake with INSERT/UPDATE/DELETE.
• PostgreSQL, MySQL, and MSSQL Catalogs: Schema and table discovery for external databases.
• Full-Text Search: BM25 full-text search over accelerated datasets.

The Spice Cookbook includes more than 100 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v2.0.0, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:2.0.0 image:

docker pull spiceai/spiceai:2.0.0

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai --version 2.0.0

AWS Marketplace:

Spice is available in the AWS Marketplace.

What's Changed​

Changelog​

• Add TPC-DS integration tests with S3 source and PostgreSQL acceleration by @phillipleblanc in #9006
• fix(tests): fix flaky/slow/failing unit tests by @phillipleblanc in #9009
• fix: Update benchmark snapshots for DF51 upgrade by @app/github-actions in #9008
• fix: add feature gate to rrf TEST_EMBEDDING_MODEL by @phillipleblanc in #9017
• fix: features check by @phillipleblanc in #9014
• fix: Enable Cayenne acceleration snapshots by @lukekim in #9020
• URL table support by @lukekim in #9018
• ScyllaDB key filter by @lukekim in #8997
• fix: Schema mismatch when using column projection with HTTP caching by @phillipleblanc in #9021
• Add more tests for HTTP caching with columns selection by @sgrebnov in #9025
• HTTP cache snapshots: default to time_interval and fix snapshots_creation_policy: on_change by @sgrebnov in #9026
• Fix duplicate snapshot creation on startup by @sgrebnov in #9029
• Add ScyllaDB and SMB to the README table by @krinart in #9034
• Remove waiting for runtime to be ready before creating snapshot by @krinart in #9033
• Fix snapshot on_change policy to skip when no writes occurred by @sgrebnov in #9028
• Release notes for release release/1.11.0-rc.2 by @krinart in #9016
• ci: use arduino/setup-protoc for official protobuf compiler by @phillipleblanc in #9036
• ci: install unzip on aarch64 runner for arduino/setup-protoc by @phillipleblanc in #9038
• fix: don't fail release if upload to minio fails by @phillipleblanc in #9039
• Add missing protoc step to setup-cc action by @krinart in #9041
• fix: Update Search integration test snapshots by @app/github-actions in #9013
• Fix formula_1 and codebase_community in bird-bench by @Jeadie in #9000
• Cayenne S3 Express One Zone improvements by @lukekim in #9015
• Add zlib1g-dev to CI by @lukekim in #9052
• Improve validation and logging for hash indexes by @lukekim in #9047
• Upgrade Vortex with CASE-WHEN by @lukekim in #9051
• x.ai models now exclusively use /v1/responses endpoint by @lukekim in #9400
• Improvements for snapshot schema comparison by @krinart in #9401
• v2.0 breaking changes by @lukekim in #9233
• Create PartitionManagementTask for scheduler to update accelerated table partition assignments by @Jeadie in #9378
• refactor(Cayenne): route all write orchestration through CayenneDataSink by @sgrebnov in #9402
• Refactor benchmark to use QueryExecutor trait by @Jeadie in #9418
• feat: Add spidapter build and release workflow by @peasee in #9427
• Testoperator: add support for api-key when connecting to external spice instance by @sgrebnov in #9421
• Initial implementation of Ducklake catalog & data connectors by @lukekim in #9083
• Require aws_lc_rs since jsonwebtoken upgrade by @Jeadie in #9426
• feat: Add spidapter tool by @peasee in #9425
• Add release notes for 1.11.2 patch release by @sgrebnov in #9430
• feat(spidapter): integrate system-adapter-protocol with SCP provisioning by @phillipleblanc in #9434
• Add DuckLake TPCH E2E workflow and federated Spicepod configuration by @lukekim in #9431
• fix(spidapter): use Flight handshake auth instead of x-api-key header by @phillipleblanc in #9435
• [spidapter] Keep only what sparks joy by @Jeadie in #9439
• Refactor binary operator balancing by @Jeadie in #9424
• feat: Add Iceberg DDL support (CREATE TABLE / DROP TABLE) for default catalog override by @phillipleblanc in #9440
• Fix Flight SQL schema consistency: expand view types and verify field names by @sgrebnov in #9438
• Update spidapter for new system-adapter-protocol by @sgrebnov in #9442
• docs: fix typos and syntax errors in style guide and error handling docs by @cluster2600 in #9445
• Add acceleration refresh ingestion metrics (rows_written, bytes_written) by @phillipleblanc in #9461
• Refactor(Cayenne): Replace CatalogError and string based errors with Snafu errors by @sgrebnov in #9403
• Replace deprecated claude-3-5-haiku-latest with claude-haiku-4-5 by @Jeadie in #9492
• Fix #9481: Preserve schema in results cache for empty query results by @phillipleblanc in #9485
• Fix partition by serializing by @Jeadie in #9474
• query: reconcile execution stream nullability with logical plan schema by @phillipleblanc in #9486
• initial spice-cloud-client crate and spice cloud metrics --app <app-name>. by @Jeadie in #9480
• feat: Return dataset error message in datasets API by @peasee in #9487
• Spicebench by @lukekim in #9447
• build(deps): consolidate dependabot dependency updates by @phillipleblanc in #9504
• fix(cluster): route non-partitioned accelerated tables in distributed mode by @phillipleblanc in #9508
• Enable core scalar UDFs in refresh SQL by @sgrebnov in #9502
• Fix metrics in Spidapter again by @Jeadie in #9497
• fix(cluster): tolerate Completed->status propagation race in distributed query handle by @phillipleblanc in #9510
• feat: Support distributed ingestion in cayenne catalog by @peasee in #9506
• Fix Cayenne duplicate primary keys after DELETE + UPSERT CDC sequences by @krinart in #9494
• fix(cluster): rewrite table scans inside subqueries for distributed execution by @phillipleblanc in #9518
• fix: Set catalog mode to readwritecreate in spidapter by @peasee in #9519
• Upgrade AWS SDK crates & set APN user-agent in AWS SDK credential bridge by @lukekim in #8328
• feat(runtime): add runtime ready_state on_registration semantics by @lukekim in #9522
• fix: Add spidapter post-setup retries by @peasee in #9526
• Make partition discovery more robust and make initialization non-blocking by @sgrebnov in #9499
• Make lint-rust-fix support targeted packages and features by @Jeadie in #9511
• Handle new Cloud SCP API by @Jeadie in #9532
• Refactor and simplify streaming benchmarks by @krinart in #9405
• fix: ensure spidapter only increments attempts on failures by @peasee in #9534
• feat: Support specifying app resources in spidapter by @peasee in #9536
• test(runtime): Spice Cayenne DDL integration test by @lukekim in #9535
• fix: Handle schema evolution mismatch errors during data refresh by @lukekim in #9527
• fix: resolve clippy lint warnings by @phillipleblanc in #9547
• pr-builds --tag <TAG> for build_and_release.yml by @Jeadie in #9507
• Add --output flag to spice login with env/json/keychain modes by @Jeadie in #9541
• Don't use 'PartitionedTableScanRewrite' in async distributed query by @Jeadie in #9548
• feat(spidapter): add local backend mode with single executor by @phillipleblanc in #9531
• support chat template in HF by @Jeadie in #9543
• fix(cayenne): stream PK retention deletes and run OOM regression in CI by @phillipleblanc in #9533
• cayenne: Staged append writes to prevent partial writes and data loss on stream error by @sgrebnov in #9491
• AcceleratedTable::scan use FederatedTable::scan when ClusterRole::Scheduler by @Jeadie in #9550
• Upgrade to delta-kernel-rs v0.18.2 by @lukekim in #9528
• Run cayenne tests as part of PR CI by @sgrebnov in #9554
• Upgrade to DataFusion v52.2.0 by @lukekim in #9419
• Remove Snapshot Compaction + Add snapshot existence check by @krinart in #9523
• Update dependencies by @lukekim in #9566
• fix: Update benchmark snapshots by @app/github-actions in #9565
• fix: Compare Cayenne table configuration on startup by @peasee in #9529
• Make Refresh::refresh_sql more robust to alterations over time. by @Jeadie in #9549
• fix: Update datafusion-table-providers dependency to latest revision by @lukekim in #9574
• Unset AWS_ENDPOINT_URL when empty by @krinart in #9575
• fix: allow BytesProcessedExec repartitioning for unordered input by @lukekim in #9540
• Sanitize DataFusion errors by @lukekim in #9530
• Add conditional logging for partition assignments by @Jeadie in #9577
• use 'properly early exit on SIGTERM' by @Jeadie in #9573
• Update datafusion to 52.2.0 by @phillipleblanc in #9582
• Ensure we query one and only one partition per request by @Jeadie in #9416
• feat: Add support for Spicepod version v2 by @lukekim in #9583
• [SpiceDQ] Improve error messages; Avoid race condition on allocate_initial_partitions. by @Jeadie in #9579
• Update ballista dependencies to latest 52.0.0 revision by @lukekim in #9581
• Fix Databricks spark_connect mode always disabled by @phillipleblanc in #9586
• Support partitioning in Arrow accelerator by @Jeadie in #9571
• Fix spice query CLI response deserialization by @phillipleblanc in #9588
• fix: Update benchmark snapshots by @app/github-actions in #9584
• fix: Share RuntimeEnv across Cayenne read/write/delete paths for targeted list_files_cache invalidation by @sgrebnov in #9589
• feat: Add file:// state_location support for async queries scheduler by @phillipleblanc in #9590
• Update endgame links by @krinart in #9598
• ci: fix E2E CLI upgrade test to use latest release for spiced download by @phillipleblanc in #9613
• fix(DF): Lazily initialize BatchCoalescer in RepartitionExec to avoid schema type mismatch by @sgrebnov in #9623
• feat: Implement catalog connectors for various databases by @lukekim in #9509
• Refactor and clean up code across multiple crates by @lukekim in #9620
• fix: Improve error handling for distributed mode and state_location configuration by @lukekim in #9611
• Properly install postgres in install-postgres action by @krinart in #9629
• fix: Use Python venv for schema validation in CI by @phillipleblanc in #9637
• Update spicepod.schema.json by @app/github-actions in #9640
• Update testoperator dispatch to use release/2.0 branch by @phillipleblanc in #9641
• fix: Align CUDA asset names in Dockerfile and install tests with build output by @phillipleblanc in #9639
• Fix expect test scripts in E2E Installation AI test by @sgrebnov in #9643
• testoperator for partitioned arrow accelerator by @Jeadie in #9635
• Remove default 1s refresh_check_interval from spidapter for hive datasets by @phillipleblanc in #9645
• Fix scheduler panic and cancel race condition by @phillipleblanc in #9644
• Align Spice.ai connector parameter names across catalog/data connectors by @lukekim in #9632
• docs: update distribution details and add NAS support in release notes by @lukekim in #9650
• Enable postgres-accel in CI builds for benchmarks by @sgrebnov in #9649
• perf: Cache Turso metastore connection across operations by @penberg in #9646
• Add 'scheduler_state_location' to spidapter by @Jeadie in #9655
• Implement Cayenne S3 Express multi-zone live test with data validation by @lukekim in #9631
• chore(spidapter): bump default memory limit from 8Gi to 32Gi by @phillipleblanc in #9661
• perf: Use prepare_cached() in Turso and SQLite metastore backends by @penberg in #9662
• Improve CDC cache invalidation by @krinart in #9651
• Refactor Cayenne IDs to use UUIDv7 strings by @lukekim in #9667
• fix: add liveness check for dead executors in partition routing by @Jeadie in #9657
• fix(s3): Fix metadata column schema mismatches in projected queries by @sgrebnov in #9664
• s3_metadata_columns tests: include test for location outside table prefix by @sgrebnov in #9676
• docs: Update DuckDB, GCS, Git connector and Cayenne documentation by @lukekim in #9671
• Add s3_url_style support for S3 connector URL addressing by @phillipleblanc in #9642
• Consolidate E2E workflows and require WSL for Windows runtime by @lukekim in #9660
• Upgrade to Rust v1.93.1 by @lukekim in #9669
• Security fixes and improvements by @lukekim in #9666
• feat(flight): add DoPut rows/bytes written metrics for DoPut ETL ingestion tracking by @phillipleblanc in #9663
• Skip caching http error response + add response_headers by @krinart in #9670
• refactor: Remove v1/evals functionality by @Jeadie in #9420
• Make a test harness for Distributed Spice integration tests by @Jeadie in #9615
• Enable on_zero_results: use_source for views by @krinart in #9699
• fix(spidapter): Lower memory limit, passthrough AWS secrets, override flight URL by @peasee in #9704
• Show an error on a shared acceleration file with snapshots enabled by @krinart in #9698
• Fixes for anthropic by @Jeadie in #9707
• Use max_partitions_per_executor in allocate_initial_partitions by @Jeadie in #9659
• [SpiceDQ] Accelerations must have partition key by @Jeadie in #9711
• Upgrade to Turso v0.5 by @lukekim in #9628
• feat: Rename metadata columns to _location, _last_modified, _size by @phillipleblanc in #9712
• fix: bump datafusion-ballista to fix BatchCoalescer schema mismatch panic by @phillipleblanc in #9716
• fix: Ensure Cayenne respects target file size by @peasee in #9730
• refactor: Make DDL preprocessing generic from Iceberg DDL processing by @peasee in #9731
• [SpiceDQ] Distribute query of Cayenne Catalog to executors with data by @Jeadie in #9727
• Properly set primary_keys/on_conflict for Cayenne tables by @krinart in #9739
• Add executor resource and replica support to cloud app config by @ewgenius in #9734
• feat: Support PARTITION BY in Cayenne Catalog table creation by @peasee in #9741
• Update datafusion and related packages to version 52.3.0 by @lukekim in #9708
• Route FlightSQL statement updates through QueryBuilder by @phillipleblanc in #9754
• JSON file format improvements by @lukekim in #9743
• [SpiceDQ] Partition Cayenne catalogs writes through to executors by @Jeadie in #9737
• Update to DF v52.3.0 versions of datafusion & datafusion-tableproviders by @lukekim in #9756
• Make S3 metadata column handling more robust by @sgrebnov in #9762
• Fetch API keys from dedicated endpoint instead of apps response by @phillipleblanc in #9767
• Update arrow-rs, datafusion-federation, and datafusion-table-providers dependencies by @phillipleblanc in #9769
• Chunk metastore batch inserts to respect SQLite parameter limits by @phillipleblanc in #9770
• Improve JSON SODA support by @lukekim in #9795
• Add ADBC Data Connector by @lukekim in #9723
• docs: Release Cayenne as RC by @peasee in #9766
• cli[feat]: cloud mode to use region-specific endpoints by @lukekim in #9803
• Include updated JSON formats in HTTPS connector by @lukekim in #9800
• Flight DoPut: Partition-aware write-through forwarding by @Jeadie in #9759
• Pass through authentication to ADBC connector by @lukekim in #9801
• Move scheduler_state_location from adapter metadata to env var by @phillipleblanc in #9802
• Fix Cayenne DoPut upsert returning stale data after 3+ writes by @phillipleblanc in #9806
• Fix JSON column projection producing schema mismatch by @sgrebnov in #9811
• Fix http connector by @krinart in #9818
• Fix ADBC Connector build and test by @lukekim in #9813
• Support update & delete DML for distributed cayenne catalog by @Jeadie in #9805
• Set allow_http param when S3 endpoint uses http scheme by @phillipleblanc in #9834
• fix: Cayenne Catalog DDL requires a connected executor in distributed mode by @Jeadie in #9838
• fix: Add conditional put support for file:// scheduler state location by @Jeadie in #9842
• fix: Require the DDL primary key contain the partition key by @Jeadie in #9844
• fix: Databricks SQL Warehouse schema retrieval with INLINE disposition and async retry by @lukekim in #9846
• Filter pushdown improvements for SqlTable by @lukekim in #9852
• feat: add iam_role_source parameter for AWS credential configuration by @lukekim in #9854
• Fix ODBC queries silently returning 0 rows on query failure by @lukekim in #9864
• feat(adbc): Add ADBC catalog connector with schema/table discovery by @lukekim in #9865
• Make Turso SQL unparsing more robust and fix date comparisons by @lukekim in #9871
• Fix Flight/FlightSQL filter precedence and mutable query consistency by @lukekim in #9876
• Partial Aggregation optimisation for FlightSQLExec by @lukekim in #9882
• fix: v1/responses API preserves client instructions when system_prompt is set by @Jeadie in #9884
• feat: emit scheduler_active_executors_count and use it in spidapter by @Jeadie in #9885
• feat: Add custom auth header support for GraphQL connector by @krinart in #9899
• Add --endpoint flag to spice run with scheme-based routing by @lukekim in #9903
• When executor connects, send DDL for existing tables by @Jeadie in #9904
• fix: Improve ADBC driver shutdown handling and error classification by @lukekim in #9905
• fix: require all executors to succeed for distributed DML (DELETE/UPDATE) forwarding by @Jeadie in #9908
• fix(cayenne catalog): fix catalog refresh race condition causing duplicate primary keys by @Jeadie in #9909
• Remove Perplexity support by @Jeadie in #9910
• Fix refresh_sql support for debezium constraints by @krinart in #9912
• Implement DML for DynamoDBTableProvider by @lukekim in #9915
• chore: Update iceberg-rust fork to v0.9 by @lukekim in #9917
• Run physical optimizer on FallbackOnZeroResultsScanExec fallback plan by @sgrebnov in #9927
• Improve Databricks error message when dataset has no columns by @sgrebnov in #9928
• Delta Lake: fix data skipping for >= timestamp predicates by @sgrebnov in #9932
• fix: Ensure distributed Cayenne DML inserts are forwarded to executors by @Jeadie in #9948
• Add full query federation support for ADBC data connector by @lukekim in #9953
• Make time_format deserialization case-insensitive by @claudespice in #9955
• Hash ADBC join-pushdown context to prevent credential leaks in EXPLAIN plans by @lukekim in #9956
• fix: Normalize Arrow Dictionary types for DuckDB and SQLite acceleration by @sgrebnov in #9959
• ADBC BigQuery: Improve BigQuery dialect date/time and interval SQL generation by @lukekim in #9967
• Make BigQueryDialect more robust and add BigQuery TPC-H benchmark support by @lukekim in #9969
• fix: Show proper unauthorized error instead of misleading runtime unavailable by @lukekim in #9972
• fix: Enforce target_chunk_size as hard maximum in chunking by @lukekim in #9973
• Add caching retention by @krinart in #9984
• fix: improve Databricks schema error detection and messages by @lukekim in #9987
• fix: Set default S3 region for opendal operator and fix cayenne nextest by @phillipleblanc in #9995
• fix(PostgreSQL): fix schema discovery for PostgreSQL partitioned tables by @sgrebnov in #9997
• fix: Defer cache size check until after encoding for compressed results by @krinart in #10001
• fix: Rewrite numeric BETWEEN to CAST(AS REAL) for Turso by @lukekim in #10003
• fix: Handle integer time columns in append refresh for all accelerators by @sgrebnov in #10004
• fix: preserve s3a:// scheme when building OpenDalStorageFactory with custom endpoint by @phillipleblanc in #10006
• Fix ISO8601 time_format with Vortex/Cayenne append refresh by @sgrebnov in #10009
• fix: Address data correctness bugs found in audit by @sgrebnov in #10015
• fix(federation): fix SQL unparsing for Inexact filter pushdown with alias by @lukekim in #10017
• Improve GitHub connector ref handling and resilience by @lukekim in #10023
• feat: Add spice completions command for shell completion generation by @lukekim in #10024
• fix: Fix data correctness bugs in DynamoDB decimal conversion and GraphQL pagination by @sgrebnov in #10054
• Implement RefreshDataset for distributed control stream by @Jeadie in #10055
• perf: Improve S3 parquet read performance by @sgrebnov in #10064
• fix: Prevent write-through stalls and preserve PartitionTableProvider during catalog refresh by @Jeadie in #10066
• feat: spice completions auto-detects shell directory and writes file by @lukekim in #10068
• fix: Bug in DynamoDB, GraphQL, and ISO8601 refresh data handling by @sgrebnov in #10063
• fix partial aggregation deduplication on string checking by @lukekim in #10078
• fix: add MetastoreTransaction support to prevent concurrent transaction conflicts by @phillipleblanc in #10080
• fix: Use GreedyMemoryPool, add spidapter query memory limit arg by @phillipleblanc in #10082
• feat: Add metrics for EXPLAIN ANALYZE in FlightSQLExec by @lukekim in #10084
• Use strict cast in try_cast_to to error on overflow instead of silent NULL by @sgrebnov in #10104
• feat: Implement MERGE INTO for Cayenne catalog tables by @peasee in #10105
• feat: Add distributed MERGE INTO support for Cayenne catalog tables by @peasee in #10106
• Improve JSON format auto-detection for single multi-line objects by @lukekim in #10107
• Add mode: file_update acceleration mode by @krinart in #10108
• Coerce unsupported Arrow types to Iceberg v2 equivalents in REST catalog API by @peasee in #10109
• fix: Update default query memory limit to 90% from 70% by @phillipleblanc in #10112
• feat: Add mTLS client auth support to spice sql REPL by @lukekim in #10113
• fix(datafusion-federation): report error on overflow instead of silent NULL by @sgrebnov in #10124
• fix: Prevent data loss in MERGE when source has duplicate keys by @peasee in #10126
• feat: Add ClickHouse Date32 type support by @sgrebnov in #10132
• Add Delta Lake column mapping support (Name/Id modes) by @sgrebnov in #10134
• fix: Restore Turso numeric BETWEEN rewrite lost in DML revert by @lukekim in #10139
• fix: Enable arm64 Linux builds with fp16 and lld workarounds by @lukekim in #10142
• fix: remove double trailing slash in Unity Catalog storage locations by @sgrebnov in #10147
• fix: Improve GitHub GraphQL client resilience and performance by @lukekim in #10151
• Enable reqwest compression and optimize HTTP client settings by @lukekim in #10154
• fix: executor startup failures by @Jeadie in #10155
• feat: Distributed runtime.task_history support by @Jeadie in #10156
• fix: Preserve timestamp timezone in DDL forwarding to executors by @peasee in #10159
• feat: Per-model rate-limited concurrent AI UDF execution by @Jeadie in #10160
• fix(Turso): Reject subquery/outer-ref filter pushdown in Turso provider by @lukekim in #10174
• Fix linux/macos spice upgrade by @phillipleblanc in #10194
• Improve CREATE TABLE LIKE error messages, success output, EXPLAIN, and validation by @peasee in #10203
• fix: chunk MERGE delete filters and update Vortex for stack-safe IN-lists by @peasee in #10207
• Propagate runtime.params.parquet_page_index to Delta Lake connector by @sgrebnov in #10209
• Properly mark dataset as Ready on Scheduler by @Jeadie in #10215
• fix: handle Utf8View/LargeUtf8 in GitHub connector ref filters by @lukekim in #10217
• fix(databricks): Fix schema introspection and timestamp overflow by @lukekim in #10226
• fix(databricks): Fix schema introspection failures for non-Unity-Catalog environments by @lukekim in #10227
• feat: Add pagination support to HTTP data connector by @lukekim in #10228
• feat(databricks): DESCRIBE TABLE fallback and source-native type parsing for Lakehouse Federation by @lukekim in #10229
• fix(databricks): harden HTTP retries, compression, and token refresh by @lukekim in #10232
• feat[helm chart]: Add support for ServiceAccount annotations and AWS IRSA example by @peasee in #9833
• fix: Log warning and fall back gracefully on Cayenne config change by @krinart in #9092
• fix: Handle engine mismatch gracefully in snapshot fallback loop by @krinart in #9187
• fix: Full Text Search schema mismatch with ADBC connector by @lukekim in #10235
• docs: Update v2.0.0-rc.2 release notes with latest changes by @lukekim in #10238
• Fix append refresh dedup failure when refresh_sql selects column subset by @sgrebnov in #10225
• Revert "Properly mark dataset as Ready on Scheduler (#10215)" by @sgrebnov in #10242
• Fix failing merge conflicts for benchmarks by @krinart in #10247
• fix(github): fetch commits for dynamic and slash refs by @lukekim in #10233
• Upgrade DataFusion to v52.5.0-rc1 by @lukekim in #10249
• Merge develop to trunk (2026-04-09) by @claudespice in #10248
• fix: Validate embedding row_id columns during dataset init (fixes #8226) by @claudespice in #10208
• fix: Update tpch benchmark snapshots for federated/glue[csv].yaml by @app/github-actions in #10244
• feat(databricks): add resilience controls, UC awareness, and task history instrumentation by @lukekim in #10246
• fix: Make PartitionManager resilient to bare vs fully qualified table references by @sgrebnov in #10257
• fix: Update tpch benchmark snapshots for accelerated/s3[parquet]-cayenne[file].yaml by @app/github-actions in #10256
• Merge develop to trunk (2026-04-10) by @claudespice in #10251
• Improve Snowflake/ADBC dataset registration performance and observability by @lukekim in #10266
• Fixes for kafka connector by @krinart in #10263
• fix(runtime): gate otel code tags, suppress aws sdk noise, and unblock connector init by @lukekim in #10260
• fix(runtime): avoid regionless AWS SDK loads by @lukekim in #10271
• Add versioned release install workflow coverage by @lukekim in #10276
• fix(runtime): handle HTTP JSON unions and spicepod reloads by @lukekim in #10277
• Databricks UC permission prechecks: explicit denial as permanent error, ambiguous cases advisory by @lukekim in #10274
• Revert component status changes re-introduced by develop merge (#10248) by @sgrebnov in #10293
• Fix broken CI workflows by @ewgenius in #10294
• Group dependabot updates by ecosystem by @lukekim in #10296
• fix(tests): Replace flaky S3 Vectors snapshot tests with structural validation by @lukekim in #10301
• Update test_github_workflows snapshot by @lukekim in #10304
• fix(ci): fix Bedrock runner mismatch and snapshot auto-merge failure by @ewgenius in #10306
• feat(http): Add map-to-array conversion and query-parameter pagination by @lukekim in #10295
• New crate: datafusion-ddl by @Jeadie in #10205
• Make Databricks UC permission checks advisory with structured error reporting by @lukekim in #10283
• build(deps): bump the github-actions-dependencies group with 4 updates by @app/dependabot in #10298
• fix: Clear cached plans on view updates by @peasee in #10312
• build(deps): bump the aws-sdk group with 7 updates by @app/dependabot in #10299
• Code out of runtime. by @Jeadie in #10178
• fix: Respect function registry denies for accelerated table filter pushdown by @peasee in #10311
• fix: Don't block heartbeat when all slots acquired by @peasee in #10322
• fix: strip only outer parens in get_table_partition_expr_from_ctx by @Jeadie in #10323
• Upgrade datafusion-table-providers with MongoDB SRV support by @lukekim in #10317
• fix: Avoid pushing down bucketing partition expressions into executors by @peasee in #10324
• Upgrade datafusion-table-providers to d1b911a5 and bump adbc to 0.23 by @lukekim in #10329
• fix: Update Search integration test snapshots by @app/github-actions in #10308
• Handle foreign table + Classic sql warehouse combination gracefully by @krinart in #10318
• New crate datafusion-flightsql by @Jeadie in #10201
• Set tantivy=warn unless very verbose logging by @Jeadie in #10338
• Remove image registry and image name options from spidapter by @ewgenius in #10241
• build(deps): bump sysinfo from 0.37.2 to 0.38.4 by @app/dependabot in #10291
• build(deps): bump futures from 0.3.31 to 0.3.32 by @app/dependabot in #10289
• New crate 'datafusion-dml' by @Jeadie in #10334
• Jeadie/26 04 16/spice sql by @Jeadie in #10343
• Add Teraswitch/Pittsburgh apt mirrors + retry config for CI runners by @lukekim in #10349
• Implement sort pushdown and fix pushdown gaps across providers by @lukekim in #10337
• Merge develop to trunk (2026-04-16) by @claudespice in #10345
• Update candle and mistral.rs lock-step pins by @lukekim in #10278
• docs: fix status badges in README by @lukekim in #10350
• Migrate secrets to vars by @krinart in #10354
• Add limit pushdown and improve sort pushdown for Oracle and MSSQL by @sgrebnov in #10351
• Fix ubuntu mirror configuration by @ewgenius in #10359
• fix: Increase throughput test default ready_wait from 30s to 300s (fixes #8207) by @claudespice in #10344
• Add auth headers support to OTEL metrics exporter by @lukekim in #10347
• fix(github): shrink GraphQL page size on gateway errors; lower comment defaults by @lukekim in #10355
• Relax apt mirror substitution failure to warning in CI action by @ewgenius in #10361
• feat(http): Add OAuth2 refresh-token auth to HTTP connector by @lukekim in #10348
• Upgrade Rust toolchain to 1.94.1 by @lukekim in #10353
• Handle order by and sort in PartitionedTableScanRewrite by @Jeadie in #9656
• Fix OTEL Exporter by @krinart in #10363
• Pin spiceai candle / TEI forks to merged revs; drop local [patch] overrides by @lukekim in #10362
• Integrate spiceio and makefile_targets into pr.yml by @lukekim in #10357
• ci: skip artifact compression for test binaries/archives by @lukekim in #10381
• chore(deps): bump spiceai/candle, spiceai/mistral.rs, aws-lc-rs, tantivy, rand by @lukekim in #10379
• Bump datafusion-table-providers (#10375) by @lukekim in #10384
• fix: Update Search integration test snapshots by @app/github-actions in #10376
• v2.0.0-rc.3 preparation by @ewgenius in #10382
• fix(spicepod): JSON schema accepts string or {name: expr} for partition_by by @lukekim in #10352
• fix: Use ROUND for Turso decimal BETWEEN comparisons (fixes #9872) by @claudespice in #10360
• Revert "v2.0.0-rc.3 preparation" from trunk by @ewgenius in #10386
• Add on_schema_resolved dataset ready state by @lukekim in #10368
• feat: Add Elasticsearch data connector with hybrid search support by @lukekim in #10258
• ci: bump test archive upload compression-level to 1 by @lukekim in #10388
• feat(git-connector): promote Git connector to RC status by @lukekim in #10385
• feat(postgres): stream WAL directly to Spice accelerators by @lukekim in #10364
• Add schema decomposition to the HTTP connector by @lukekim in #10393
• fix(cayenne): Skip catalog refresh state reload for existing providers by @sgrebnov in #10396
• Make cayenne-flightsql tool by @Jeadie in #10356
• build(deps): bump the github-actions-dependencies group with 2 updates by @app/dependabot in #10398
• Update openapi.json by @app/github-actions in #10272
• Merge develop to trunk — 2026-04-19 by @claudespice in #10407
• feat(otel): default OTLP push exporter to delta temporality by @phillipleblanc in #10412
• fix: Restore analyzer rule ordering to run federation before type coercion by @sgrebnov in #10415
• fix: Map Utf8/LargeUtf8 to STRING in Databricks/Spark SQL dialects by @sgrebnov in #10420
• feat(otel): add metric name prefix at runtime.telemetry.metric_prefix by @phillipleblanc in #10418
• fix: Map LargeUtf8 to VARCHAR in Athena ODBC dialect by @sgrebnov in #10419
• feat(cluster): connector-driven object store registration on executors by @phillipleblanc in #10414
• build(deps): bump ubuntu from 22.04 to 24.04 in the docker-dependencies group by @app/dependabot in #10397
• fix: Update benchmark snapshots Apr 20 by @app/github-actions in #10417
• feat(otel): apply runtime.telemetry.properties as resource attributes on exported metrics by @phillipleblanc in #10416
• Publish RC releases to DockerHub; upgrade runners to ubuntu-24.04 by @lukekim in #10428
• feat: Add Azure Cosmos DB (NoSQL) data connector (RC) by @lukekim in #10392
• feat(datafusion): flatten_json_properties + json_tree UDTFs by @lukekim in #10406
• Harden /v1/tools and /v1/nsql against unauthenticated / LLM-driven SQL by @lukekim in #10365
• feat(embeddings): multi-vector embeddings with MaxSim + late-interaction by @lukekim in #10408
• Update GH runners for CUDA builds by @ewgenius in #10432
• fix(delta_lake): register object stores on cluster executors by @phillipleblanc in #10436
• DF-native DML by @krinart in #10327
• ci: run Build and Test on spiceai-macos; split install jobs by profile by @lukekim in #10434
• Improve search UDTFs: text_search, vector_search, rrf by @lukekim in #10387
• fix(model2vec): Improve robustness of model loading for sentence-transformers layouts by @sgrebnov in #10444
• Merge develop to trunk — 2026-04-21 by @claudespice in #10448
• Enable filter pushdown for vector_search UDTF by @sgrebnov in #10447
• Support Snowflake OBJECT, MAP, GEOGRAPHY, GEOMETRY, VECTOR, TIMESTAMP_LTZ types by @lukekim in #10451
• Fix Databricks tests by @krinart in #10449
• fix(cluster): forward register_object_stores through connector wrappers by @phillipleblanc in #10460
• Fixes for vector-search by @krinart in #10455
• Add expand_maps option and flatten_json UDTF by @lukekim in #10452
• fix: Update Search integration test snapshots by @app/github-actions in #10458
• Fix physical codec decode ambiguity for empty protobuf messages by @sgrebnov in #10466
• chore(logging): demote s3_single_file_cached skip refresh log to debug by @phillipleblanc in #10467
• Enable filter pushdown for rrf UDTF by @sgrebnov in #10465
• feat(cluster): consolidate distributed state into cluster.json by @phillipleblanc in #10463
• feat(cayenne): Add column statistics and data inlining by @lukekim in #10314
• docs(copilot): flag missing wrapper delegation when adding default trait methods by @phillipleblanc in #10461
• Wire Elasticsearch vector engine write path through acceleration by @lukekim in #10453
• Add helm lint CI by @ewgenius in #10468
• Fix Azure and GCS acceleration snapshot object store credential handling by @phillipleblanc in #10486
• Update spicepod.schema.json by @app/github-actions in #10485
• fix(secrets): harden AWS Secrets Manager secret store by @lukekim in #10478
• Update datafusion-ballista crate by @sgrebnov in #10488
• feat(secrets): add ParameterSpec and more params for AWS secrets manager by @phillipleblanc in #10487
• Add rerank UDTF for hybrid search with query auto-propagation by @lukekim in #10469
• Fix flatten_json_properties by @krinart in #10475
• fix: preserve field and schema metadata in expand_views_schema by @claudespice in #10494
• Upgrade rmcp to upstream 1.5.0; switch MCP server to Streamable HTTP by @lukekim in #10491
• fix: handle Snowflake TIMESTAMP_LTZ wire format and prevent nanosecond overflow by @claudespice in #10493
• Lint parity in Makefile by @krinart in #10492
• Add connect_timeout/client_timeout params to Databricks sql_warehouse mode by @lukekim in #10495
• fix(tracing): suppress opentelemetry INFO logs at all verbosity levels by @lukekim in #10497
• DynamoDB DML by @krinart in #10470
• feat(cayenne): native vector search via SIMD similarity UDFs by @lukekim in #10456
• fix(cli): suppress banner for all JSON-producing cloud subcommands (fixes #10498) by @claudespice in #10510
• fix(deps): bump openssl to 0.10.78 by @phillipleblanc in #10509
• fix(s3): quiet AWS SDK credential probe when no region is configured by @phillipleblanc in #10506
• fix(cdc): emit ready signal on caught-up Kafka/Debezium streams (#5201) by @phillipleblanc in #10504
• runtime-cluster crate + Run partition discovery before forwarding refresh to executors by @krinart in #10490
• Update lint-rust target to use --keep-going by @Jeadie in #10508
• Add TPC-H SF100 s3[parquet]-duckdb[file] benchmark spicepod by @lukekim in #10524
• Remove dev-profile install steps from pr.yml by @Jeadie in #10507
• fix: add missing NULL check on Timestamp path in append refresh by @claudespice in #10518
• fix: return error on Decimal128/256 overflow instead of silently dropping scale by @claudespice in #10519
• fix: delegate update and delete_from in IndexedTableProvider and EmbeddingTable by @claudespice in #10520
• feat(devx): make config errors, CLI, and REPL lead users to success by @lukekim in #10489
• fix(rerank): defer execution to RerankExec, enable filters and projection pushdown by @sgrebnov in #10514
• fix(llms): support Gemma models with missing attention_bias config field by @lukekim in #10523
• Fix vector_search silently ignoring named limit/column/include_score args by @sgrebnov in #10527
• fix: split unsupported filters locally in scan() for UseSource mode by @ewgenius in #10528
• feat(secrets): add Azure Key Vault secret store by @lukekim in #10496
• Bump mistralrs by @krinart in #10532
• Fix benchmark configurations and CI build issues by @sgrebnov in #10535
• Fix catalog query overrides for MySQL and MSSQL benchmarks by @sgrebnov in #10543
• For Cayenne, preserve matched columns for MERGE ... ON <cols> by @Jeadie in #10340
• build(deps): bump the aws-sdk group across 1 directory with 5 updates by @app/dependabot in #10538
• docs: update AI agent instructions (git workflow + Rust 1.94) by @lukekim in #10544
• fix: Update tpch benchmark snapshots by @app/github-actions in #10529
• fix: Update tpch benchmark snapshots for accelerated/s3[parquet]-duckdb[file].yaml by @app/github-actions in #10525
• Extract runtime-datafusion from runtime by @krinart in #10545
• Use generic DML extension planner for Cayenne by @Jeadie in #10437
• fix: Update Search integration test snapshots by @app/github-actions in #10552
• Fix security and correctness audit issues by @lukekim in #10526
• fix(MySQL): revert MySQL result column reorder to fix federated query failures by @sgrebnov in #10557
• Fix protoc installation by @krinart in #10566
• fix: Disable Ballista dynamic filters on HashJoinExec by @peasee in #10548
• Support views on DDL catalogs by @Jeadie in #10554
• Update datafusion by @Jeadie in #10422
• Improve full-text search indexing performance by @sgrebnov in #10464
• feat(mysql): add mysql_zero_date_behavior parameter (null|error) by @phillipleblanc in #10573
• fix(snowflake): declare private_key in connector PARAMETERS (fixes #10517) by @claudespice in #10559
• Honour CARGO_TARGET_DIR in Makefiles by @Jeadie in #10569
• Enable cosine_distance pushdown to DuckDB accelerator via array_cosine_distance by @sgrebnov in #10564
• fix: Update test snapshots by @app/github-actions in #10570
• fix: Update tpch benchmark snapshots by @app/github-actions in #10560
• feat(snapshots): make snapshots an optional feature by @phillipleblanc in #10574
• Enforce read-only API key restrictions on Flight DoGet and async query paths by @Jeadie in #10551
• Improved security posture on Github workflows by @Jeadie in #10556
• fix: Update datafusion-table-providers to improve SqlTable filter pushdown by @sgrebnov in #10595
• feat(secrets): add HashiCorp Vault secret store by @phillipleblanc in #10561
• fix: delegate update() in UpsertDedupTableProvider to inner provider by @claudespice in #10593
• Add DuckDB vector engine support by @lukekim in #10562
• Sharepoint - add object-store listing connector with expanded auth and write support by @lukekim in #10473
• fix: Install protoc from source by @peasee in #10597
• Enable DML support for PostgreSQL data connector by @phillipleblanc in #10446
• feat(postgres): support inline PEM sslrootcert by @claudespice in #10578
• Add foreign key metadata discovery to PostgreSQL Catalog by @sgrebnov in #10849
• Add Snowflake DML support by @lukekim in #10747
• Add MongoDB Change Streams support by @lukekim in #10813
• Add user-defined functions by @lukekim in #10571
• Add table user functions and gate HTTP servers by @lukekim in #10675
• feat: add on-demand dataset loading by @phillipleblanc in #10629
• feat(runtime): declared-schema deferred datasets by @phillipleblanc in #10669
• feat(spicepod, runtime): add columns[].type / nullable + lenient type parser by @phillipleblanc in #10661
• Replace external smb crate with internal SMB 3.1.1 client by @phillipleblanc in #10516
• Add unified query cancellation across all paths by @lukekim in #10390
• Add dynamic HTTP request headers by @lukekim in #10604
• feat(http): Support dynamic HTTP connector request params from subqueries by @lukekim in #10636
• feat(http): pass through HTTP metadata columns with JSON schema decomposition by @lukekim in #10679
• Add nolimit HTTP pagination max pages by @lukekim in #10673
• Add shared HTTP rate control for connectors by @lukekim in #10648
• Use origin label instead of name for HTTP rate control metrics by @lukekim in #10689
• fix(http): reject OR across different HTTP filter columns by @lukekim in #10625
• Add provider-aware LLM prompt caching by @lukekim in #10645
• Add searchable registry mode for LLM tools by @lukekim in #10647
• feat: refresh_mode: snapshot + SQLite/Turso WAL flush + Cayenne metastore slice by @phillipleblanc in #10651
• feat: per-principal cache namespacing for SQL/search/caching-accelerator by @lukekim in #10702
• Add self-hosted Spice connector support by @phillipleblanc in #10546
• Add Delta Lake Azure tenant parameter by @phillipleblanc in #10671
• Support OAuth2 client credentials in 'spice cloud login' by @ewgenius in #10586
• Add configurable allowed_hosts for MCP by @lukekim in #10638
• fix: make Helm chart probes configurable by @peasee in #10696
• Strip high-cardinality datasets dim from anonymous telemetry by @lukekim in #10711
• feat(elasticsearch): direct FTS engine config + index lifecycle and ingestion controls by @lukekim in #10672
• Add DuckDB HNSW vector index support for accelerated views by @sgrebnov in #10695
• Rewrite DuckDB vector search SQL to activate HNSW_INDEX_SCAN by @sgrebnov in #10674
• Fix DuckDB HNSW vector indexes lost after data refresh by @sgrebnov in #10668
• Fix DuckDB DELETE/UPDATE on full and caching refresh mode datasets by @phillipleblanc in #10632
• Fix DuckLake connector: downcast, module registration, schema discovery, and S3 credentials by @sgrebnov in #10650
• Fix federation pushing denied functions inside subqueries to remote engines by @phillipleblanc in #10692
• fix(caching): honour refresh_on_startup: always in caching mode by @phillipleblanc in #10594
• fix(iceberg): rebuild storage factory when Hadoop catalog scheme is inferred by @sgrebnov in #10601
• Pipeline CDC ingestion: overlap source reads with batch apply by @lukekim in #10676
• fix: add NULL check to CDC primary key extraction by @lukekim in #10684
• Properly handle nullability during CDC processing by @krinart in #10803
• Flatten scheduler config and rename partition management → partition assignment by @lukekim in #10450
• Improve NSQL UX and harden internal LLM tools by @lukekim in #10715
• Support Responses API across model providers by @lukekim in #10724
• Update xAI default model and handle Grok model retirements by @Jeadie in #10723
• Improve cli table layout by @krinart in #10725
• TLS cert hot-reload (mTLS plan M1) by @phillipleblanc in #10727
• Fix DuckLake catalog include filter being ignored by @phillipleblanc in #10738
• Promote DuckLake Catalog and Data Connector to Beta quality by @sgrebnov in #10743
• feat(ducklake): Support INSERT on catalog tables with read_write access by @sgrebnov in #10744
• perf(cdc): coalesce envelopes and overlap commits in apply pipeline by @lukekim in #10745
• feat: Allow full version tags in spicepod version by @peasee in #10748
• Add Arrow primary key upserts by @lukekim in #10749
• fix(snapshot): keep refresh_mode snapshot read-only by @phillipleblanc in #10752
• feat(tls): public mTLS for HTTP and Flight (channel + identity modes) by @phillipleblanc in #10753
• perf(cayenne): lock-free deletion caches with bloom-prefiltered probe by @lukekim in #10756
• fix(security): close API key timing-position leak and remote-UDF SSRF by @lukekim in #10757
• Fix 'wait_until_dependent_tables_are_ready' for catalogs by @phillipleblanc in #10758
• Fixes for views and resolved tables on 'spice refresh' CLI by @phillipleblanc in #10759
• Implement FlightSQL CommandStatementSubstraitPlan support by @lukekim in #10761
• feat(connectors): mTLS client cert support for flightsql and spiceai connectors by @phillipleblanc in #10764
• Allow arbitrary filenames when specifying spicepod path + kind validation by @krinart in #10777
• fix: ignore field metadata in schema compatibility check in index_table_scan by @Jeadie in #10778
• Display pushed-down limits in EXPLAIN TREE output by @lukekim in #10779
• fix: enable streaming append for Kafka with Cayenne accelerator by @lukekim in #10780
• fix: bound chunked-index intermediate batch size to prevent OOM by @phillipleblanc in #10783
• fix: label all columns in spice cloud metrics table output by @claudespice in #10784
• fix: use checked arithmetic for Turso integer-millis timestamp read path by @claudespice in #10786
• fix: use checked arithmetic in timestamp-to-nanosecond conversions by @claudespice in #10666
• Upgrade to DuckDB v1.5.2 by @sgrebnov in #10788
• Improve CDC ingestion performance by @lukekim in #10789
• Fix tool_search/tool_invoke spans by @lukekim in #10791
• Add Cayenne inline mutations and benchmark coverage by @lukekim in #10792
• Ensure we always resolve table names in distributed mode/metadata by @Jeadie in #10793
• Remove permanent errors from DynamoDB Streams by @krinart in #10794
• Add expanded view mode for wide table display in SQL REPL by @lukekim in #10797
• Fix Cayenne CDC schema mismatch error by @sgrebnov in #10800
• Executors should create catalog tables on join by @Jeadie in #10807
• Add compressed file support for listing connectors by @lukekim in #10809
• Improve Cayenne mutation, scan, and inline memtable scaling by @lukekim in #10811
• Add range fallback for large join filters by @lukekim in #10816
• Improve Cayenne join filter pushdown by @lukekim in #10818
• Synchronize Cayenne partition commits across partitions by @phillipleblanc in #10819
• fix: Deny nondistributed cayenne catalog by @peasee in #10821
• Enable parallel Cayenne Vortex writes by @lukekim in #10822
• Expand Arrow type handling in formatting and Elasticsearch by @lukekim in #10825
• Add response.output_text.delta to responses API by @krinart in #10828
• feat(cayenne): add join filter propagation and no-spill Q21 planning by @lukekim in #10840
• Upgrade Turso to v0.6.0 by @sgrebnov in #10843
• feat(cli): add spice feedback command to open community Slack by @lukekim in #10856
• Upgrade iceberg to v0.9.1 by @sgrebnov in #10859
• feat(cluster): per-request executor readiness gate on /v1/ready by @phillipleblanc in #10860
• fix: Require dim-side statistics for CayennePropagateFilterAcrossEquiJoinKeys by @sgrebnov in #10863
• fix: Debezium schema evolution breaks dataset init on reload by @claudespice in #10144
• fix(mssql): Push topK limit to SQL Server for non-nullable sort columns by @Jeadie in #10621
• fix(ScyllaDB): disable physical filter pushdown by @sgrebnov in #10772
• fix: handle typed NULLs and prevent overflow in DynamoDB DML type conversions by @krinart in #10511
• fix: use InsertOp::Overwrite in DynamoDB bootstrap scan_and_overwrite_accelerator by @krinart in #10639
• Improve DynamoDB Bootstrap performance by @krinart in #10616
• fix: preserve field and schema metadata in Vortex type transformation by @lukekim in #10628
• fix: GH connector - explicitly use AWS LC RS crypto provider for jwt by @phillipleblanc in #10619
• fix: add snapshot mode guards to delete_from/update and delegate DML in SwappableTableProvider by @phillipleblanc in #10685
• Persist HTTP rate-control state in object storage by @lukekim in #10697
• Rate limit metrics HTTP endpoint by @lukekim in #10162
• feat(geo): add optional spatial SQL UDF support by @lukekim in #10833
• feat(cayenne): CDC throughput, compaction, scan caching, and benchmarks by @lukekim in #10852
• fix(cayenne): fix Vortex panic on highly compressible data by @sgrebnov in #10855
• fix(cayenne): Read live protected snapshots after cleanup grace period by @sgrebnov in #10901
• fix: Disable Cayenne HashJoin rewriter optimizer by @sgrebnov in #10882
• Fix GetFlightInfo vs DoGet Flight Schema by @krinart in #10864
• fix(search): preserve column casing in /v1/search primary key plumbing by @claudespice in #10909
• fix(object-store): dedupe s3 url style auto-detection log by @phillipleblanc in #10898
• Improve Spice CLI manifest editing and direct command modes by @lukekim in #10815
• Persist Kafka CDC offsets in sidecar tables by @lukekim in #10823
• feat(task-history): record Ballista stages for distributed queries by @phillipleblanc in #10831
• Add '#[deny(clippy::missing_trait_methods)]' to wrapper/delegation trait impls by @Jeadie in #10795
• Optimize Cayenne catalog maintenance paths by @lukekim in #10904
• Centralize DuckDB settings for accelerator by @ewgenius in #10895
• deps(ballista): bump to 47e2b494 to fix S3 shuffle reads under cluster mode by @phillipleblanc in #10910
• Authorization header + Bump async-openai + responses_adapter fix by @krinart in #10911
• Tune accelerators by storage profile by @lukekim in #10913
• feat: add dataset-level on_schema_change config by @lukekim in #10908
• Handle NULL sentinel for nullable partition expressions by @Jeadie in #10880
• fix: Remove Cayenne Catalog from catalog registration by @peasee in #10914
• Add catalog name to foreign key metadata in postgres catalog by @Jeadie in #10917
• Cayenne perf: eliminate redundant clones, PK point-lookup fanout fix, IN-list rewrite + microbench coverage by @lukekim in #10916
• fix(turso-shared): retry on Turso BEGIN CONCURRENT "Write-write conflict" by @lukekim in #10946
• Vendor Vortex DataFusion for Cayenne by @lukekim in #10933
• perf(cayenne): background retention + enable CDC pipelining for retention-configured tables by @lukekim in #10936
• feat(cayenne): scale metastore pool to 32 + vs_duckdb_scaling benches (1→128 concurrency, sqlite + turso lanes) by @lukekim in #10943
• feat(mcp): support auth for streamable HTTP tools by @phillipleblanc in #10927
• Explicit error if v1/search requests a table without search index by @Jeadie in #10968
• Fix spicepod loading failure when directory name contains dots by @sgrebnov in #10958
• Extend append tests with arrow engine configurations by @sgrebnov in #10959
• Remove dataset on_schema_change Policy from rc.5 release notes by @sgrebnov in #10964
• Skip tpcds_q78 for Cayenne engine at SF100 by @sgrebnov in #10966
• fix: Update benchmark snapshots May-20 by @app/github-actions in #10952
• Fix #10951: UdtfExec invariant Vec lengths must match children count by @phillipleblanc in #10953
• docs(release): update v2.0.0-rc.5 notes with latest trunk PRs by @lukekim in #10949
• Remove eval related things for v2.0.0 by @Jeadie in #10945
• build(deps): bump ubuntu from 24.04 to 26.04 in the docker-dependencies group by @app/dependabot in #10883
• fix: Add publish = false to chbench-driver by @sgrebnov in #10939
• [Bug] Timing between reconnect and AllocateInitialPartitions leaves connection without flight_sql_client by @Jeadie in #10805
• Fix: refresh_mode: snapshot reports Ready with empty data when no snapshot exists by @sgrebnov in #10979
• fix(cluster): gate scheduler readiness on executor partition loads by @phillipleblanc in #10992
• fix: handle EXISTS/NOT EXISTS subqueries in federation analyzer by @sgrebnov in #10996
• Refactor spice dataset configuration command by @Jeadie in #10999
• fix: preserve field and schema metadata in Vortex physical schema calculation by @claudespice in #11013
• fix: validate Snowflake account identifiers and auth config by @Jeadie in #11024
• Fix Unity Catalog connector deserialization failure with OSS Unity Catalog by @ewgenius in #11026
• feat(cayenne): allow inline writes with pending deletions (deletes/upserts) by @sgrebnov in #11031
• Expose metadata descriptions via PostgreSQL UDFs by @lukekim in #11032
• Remove default runtime features - enable explicitly in spiced by @phillipleblanc in #11037
• feat(cayenne): fast-path CDC deletes by extracting PK values from filters by @sgrebnov in #11049
• Cayenne optimizer rules: auto relevance test for q21-shape (all-Cayenne CH-Bench) and runtime rule selection by @lukekim in #11050
• refactor(cdc): reduce CDC sub-batch splits for interleaved upsert/delete workloads by @sgrebnov in #11051
• fix(snowflake): enforce function deny-list in federation pushdown by @claudespice in #11057
• fix(mcp): trace external server tool calls in task history by @ewgenius in #11058
• perf(cdc): Last-write-wins dedup in group_into_sub_batches to reduce sub-batch splits by @sgrebnov in #11059
• PM edits to v2.0.0-rc5 by @lukekim in #11067
• fix(snowflake): wire deny-list in extracted connector crate (#10703) by @claudespice in #11071
• perf(cayenne): keep CDC upsert PK keysets resident to avoid per-batch full-table rebuilds by @lukekim in #11074
• Fix metadata on search indexing by @Jeadie in #11080
• feat(cayenne): merge-on-read position deletes for PK upsert tables + memory-pool accounting by @lukekim in #11085
• perf(cayenne): scale CDC inline flush caps with memory + storage class by @lukekim in #11087
• feat(cluster): report per-executor table statistics so distributed JoinSelection can size joins by @phillipleblanc in #11089
• Improve Cayenne CDC write and compaction path tracing by @sgrebnov in #11091
• Support tuple-IN composite PK extraction in Cayenne delete fast-path by @sgrebnov in #11093
• feat(cluster): NDV-aware executor stats so CDC q18 join swap fires by @phillipleblanc in #11098
• feat(cayenne): maintain join-sizing stats on the write path by @phillipleblanc in #11104
• fix(cache): run periodic moka maintenance for idle caches by @phillipleblanc in #11106
• Upgrade to DuckDB 1.5.3 + statically link the VSS (HNSW) extension by @sgrebnov in #11107
• Fix fetched_at for HTTP connector by @Jeadie in #11116
• fix(cayenne): tombstone inline-checkpointed rows on upsert to prevent duplicate PKs by @sgrebnov in #11129
• feat: dedicated compaction runtime for Cayenne + CDC pipelining, protected snapshots, and test coverage by @lukekim in #11130
• Add datasets dimension to the query_executions metric by @phillipleblanc in #11138
• Fix #11137: localpod child not tracking parent refreshes with in-memory (arrow) parent accelerator by @phillipleblanc in #11139
• Fix Windows build: vendor the VSS extension (drop nested submodule) by @phillipleblanc in #11140
• fix(spiceai): keep correlated subqueries out of JOIN ON for Spice Cloud federation by @phillipleblanc in #11143
• Refactor spice dataset configuration command by @Jeadie in #10999
• feat(cayenne): sharded parallel Vortex encode with key/time clustering by @lukekim in #11144
• fix(cluster): prevent DoPut write pipeline self-deadlock under ingest backpressure by @phillipleblanc in #11160
• fix(cayenne): only warn on genuine protected-snapshot amplification by @lukekim in #11158

Full Changelog: https://github.com/spiceai/spiceai/compare/v1.11.6...v2.0.0

Spice v2.0-rc.5 is now available! 🔥

v2.0.0-rc.5 is the fifth release candidate for advanced testing of v2.0, building on v2.0.0-rc.4.

This release completes the mTLS implementation across server endpoints and outbound connectors, adds MongoDB Change Streams and durable Kafka offset persistence as new CDC sources, expands DML write-back to PostgreSQL, Snowflake, and Arrow, promotes DuckLake to Beta, introduces user-defined functions, on-demand dataset loading, unified query cancellation, dynamic HTTP request headers and subquery-driven request parameters, provider-aware LLM prompt caching, and a long list of Cayenne performance improvements.

Highlights in this release candidate include:

• Spice Cayenne — CDC throughput, compaction and scan caching, synchronized partition commits, join filter propagation, parallel Vortex writes, lock-free deletion caches
• Mutual TLS (mTLS) — TLS cert hot-reload, public mTLS for HTTP and Flight (channel + identity modes), mTLS client certs for FlightSQL and Spice.ai connectors
• MongoDB Change Streams — native real-time CDC for MongoDB, no Debezium or Kafka required
• Kafka CDC offsets — offsets persisted in sidecar tables for durable, resumable Kafka CDC
• PostgreSQL DML — INSERT, UPDATE, DELETE write-back on PostgreSQL datasets
• Snowflake DML — INSERT, UPDATE, DELETE write-back on Snowflake datasets
• Arrow Primary Key Upserts — native upsert path using primary key matching
• DuckLake promoted to Beta — with INSERT support on catalog tables
• User-Defined Functions — define SQL UDFs in spicepods, plus remote UDFs over HTTP (Spice.ai Enterprise)
• Spatial SQL UDFs — optional geospatial UDFs (ST_*) for geometry workloads
• On-Demand Dataset Loading — datasets can be deferred and loaded on first reference
• Unified Query Cancellation — Ctrl-C and HTTP request cancellation propagate across all execution paths
• Dynamic HTTP Connector — pass-through request headers, subquery-driven params, and JSON schema decomposition
• HTTP Rate-Control persistence — rate-limit state persisted in object storage across restarts
• refresh_mode: snapshot — point-in-time snapshot acceleration with SQLite/Turso WAL flushing
• Storage-profile accelerator tuning — accelerators auto-tune defaults based on local SSD, EBS-class disk, or tmpfs
• Provider-Aware LLM Prompt Caching — automatic prompt caching for OpenAI-compatible providers that support it
• Responses API — support across all model providers with streaming response.output_text.delta, plus Authorization: Bearer header support

What's New in v2.0.0-rc.5​

Cayenne Improvements​

Significant performance work across Spice Cayenne-backed catalogs and accelerators.

• Ingest throughput: End-to-end improvements to CDC ingest, background compaction, and a new scan-result cache for hot reads; parallel Vortex partition writes; lock-free deletion caches with bloom-prefiltered probes; background retention with CDC pipelining; SQLite metastore pool scaled to 32 for high-concurrency mutation workloads.
• Data inlining: Small writes are serialized as Arrow IPC and committed directly into the Cayenne metastore (cayenne_inlined_data), bypassing the staged Vortex write path for low-latency ingest. Inline upserts atomically rewrite existing inline rows instead of emitting side delete markers, and inline data remains query-visible via an in-memory union scan with a generation-keyed decode cache. Inline rows are checkpointed to Vortex when row, segment, or byte thresholds are reached. Defaults are refresh-mode aware: inline writes are enabled by default for high-frequency caching, changes, and fast append workloads and disabled for full, snapshot, and slower append.
• Query planning: Join filter propagation across equi-join keys (gated behind runtime.params.cayenne_filter_propagation), range fallback for large join filters, hot-path clone elimination, and IN-list rewrites for large filter lists.
• Correctness: Synchronized partition commits across partitions, correct NULL-sentinel handling for nullable partition expressions (e.g. bucket(N, col)), Vortex panic fix on highly compressible data, and live reads through expired protected snapshots.
• Catalog and platform: Refresh-mode-aware compaction defaults, rejection of non-distributed Cayenne catalog configurations, and a vendored Vortex DataFusion integration for faster iteration on the Cayenne planner.

Mutual TLS (mTLS)​

Spice.ai Enterprise feature. See Enterprise Security.

Spice now supports full mutual TLS for both HTTP and Arrow Flight endpoints.

TLS cert hot-reload (#10727): The Spice runtime watches for SIGHUP and reloads TLS certificates without restarting, enabling cert rotation with zero downtime.

Public mTLS for HTTP and Flight (#10753): Two client_auth_mode values control how the server handles client certificates:

• request — optional mTLS: the server requests a client cert but accepts connections without one (useful for migration windows).
• required — strict mTLS: the server requires a valid client cert signed by the configured CA.

mTLS client certs for FlightSQL and Spice.ai connectors (#10764): Outbound connections from the FlightSQL and Spice.ai data connectors can now present client certificates for mutual authentication with upstream services.

Example configuration:

runtime:
  tls:
    enabled: true
    certificate_file: /etc/spice/tls/server.crt
    key_file: /etc/spice/tls/server.key
    client_auth_mode: required
    client_auth_ca_file: /etc/spice/tls/client-ca.crt

MongoDB Change Streams​

MongoDB datasets configured with refresh_mode: changes now stream changes from MongoDB Change Streams into any local accelerator (#10813), providing real-time CDC without Debezium or Kafka.

Example configuration:

datasets:
  - from: mongodb:my_collection
    name: my_collection
    params:
      host: my-cluster.mongodb.net
      db: mydb
    acceleration:
      enabled: true
      engine: duckdb
      refresh_mode: changes

CDC Improvements​

See Change Data Capture (CDC) for an overview of CDC in Spice.

• Kafka CDC offset persistence (#10823): Kafka CDC offsets are persisted in sidecar tables for durable, resumable streams. On restart or failover, Spice resumes from the last committed offset.
• Pipelined CDC ingestion (#10676): Source reads overlap with batch apply, with additional batching, envelope coalescing, and nullability propagation improvements across the apply pipeline.
• Debezium schema evolution fix (#10144): Schema changes in Debezium-sourced datasets no longer break dataset initialization on reload (fixes #9782).

PostgreSQL DML Support​

The PostgreSQL data connector now supports write-back via INSERT, UPDATE, and DELETE operations (#10446). Combined with the existing read-side federation, PostgreSQL-backed datasets can serve as full read/write tables. The PostgreSQL Catalog connector additionally exposes foreign-key metadata for NSQL and query planning (#10849).

Snowflake DML Support​

The Snowflake data connector now supports write-back via INSERT, UPDATE, and DELETE operations (#10747), complementing its existing read capabilities.

Arrow Primary Key Upserts​

Arrow-accelerated tables now support native upsert operations using primary key matching (#10749), providing efficient update-or-insert semantics for in-memory datasets.

DuckLake Promoted to Beta​

The DuckLake Catalog and Data Connector are promoted to Beta quality (#10743).

DuckLake catalog tables with read_write access now support INSERT operations (#10744), enabling full read/write workflows against DuckLake-backed catalogs. The DuckLake connector also gains a series of correctness fixes for downcast, module registration, schema discovery, and S3 credentials (#10650).

User-Defined Functions​

Spice now supports user-defined functions (UDFs) as a first-class spicepod component (#10571), letting you define reusable SQL functions in the spicepod or invoke remote functions over HTTP. The runtime also gains table user functions with HTTP server gating (#10675).

A security fix closes a remote-UDF SSRF vector (#10757).

Spatial SQL UDFs​

Spice now ships an optional set of geospatial SQL UDFs (ST_*) for geometry workloads (#10833). The functions are gated behind a build feature and can be invoked from any SQL surface.

On-Demand Dataset Loading​

Datasets can now be marked for on-demand loading (#10629). Deferred datasets are registered with a declared schema at startup (#10669) and only fully resolve when first referenced, reducing startup time and memory footprint for spicepods with many seldom-used datasets.

Spicepods also gain columns[].type and columns[].nullable (#10661) with a lenient type parser for declaring schemas inline.

Unified Query Cancellation​

All query execution paths — HTTP, Flight, FlightSQL, MCP, and internal — now honour a unified cancellation signal (#10390). When a client disconnects, presses Ctrl-C in the REPL, or cancels an in-flight HTTP request, the corresponding query is cancelled end-to-end, freeing resources promptly.

Dynamic HTTP Connector​

The HTTP data connector gains dynamic request headers parameterised from query predicates (#10604), subquery-driven request parameters for fan-out queries (#10636), HTTP response metadata as queryable columns via JSON schema decomposition (#10679), no-limit pagination (#10673), and shared rate-control across HTTP-based connectors using the same backend host (#10648).

HTTP Rate-Control Persistence​

The HTTP rate-control state (per-endpoint throttle counters) is now persisted in object storage (#10697), ensuring rate limits survive restarts and are consistent across replicas. Rate-control metrics now use an origin label rather than the connector name for cleaner aggregation (#10689).

The metrics HTTP endpoint (/metrics) is also independently rate-limited (#10162) to prevent scraping from impacting query serving.

refresh_mode: snapshot​

Spice.ai Enterprise feature. See Acceleration Snapshots.

A new refresh_mode: snapshot provides point-in-time snapshot acceleration (#10651), with SQLite and Turso WAL flushing and a Cayenne metastore slice integration so accelerated readers see a consistent snapshot while writes continue.

Storage-Profile Accelerator Tuning​

Acceleration configs gain a new storage_profile field (#10913) with values auto (default), local_ssd, ebs, and tmpfs. Under auto, the runtime detects whether the acceleration store is backed by local SSD, EBS-class network disk, or tmpfs, and applies storage-aware defaults across DuckDB, partitioned DuckDB, SQLite, Turso, and Cayenne file-mode accelerators. Explicit per-accelerator parameters always override the profile defaults.

Provider-Aware LLM Prompt Caching​

LLM calls automatically use provider-aware prompt caching (#10645) when the configured model provider supports it (e.g., Anthropic, OpenAI). System prompts and tool descriptions are marked for caching so repeated invocations within the cache window reuse the provider-side cached prefix, reducing latency and cost.

A new searchable registry mode for LLM tools (#10647) lets agents discover tools by semantic search rather than enumerating all tools in the system prompt, which scales to large tool inventories.

Responses API Improvements​

The Responses API is now supported across all configured model providers (#10724). Streaming delta events via response.output_text.delta are also supported (#10828). The runtime now also accepts Authorization: Bearer headers in addition to x-api-key, bumps async-openai, and stops populating FunctionToolCall.id so OpenAI-compatible servers can assign the ID themselves (#10911).

Distributed Cluster Improvements​

Spice.ai Enterprise feature. See High Availability.

• Per-request executor readiness gate (#10860): /v1/ready on schedulers waits for a configurable quorum of executors before returning healthy, enabling proper rolling deployments.
• Ballista S3 shuffle reads under cluster mode (#10910): The shuffle reader builds its S3 client from the executor pod's environment, matching the writer. Async queries with runtime.params.shuffle_location: s3://... now complete instead of failing with AccessDenied on shuffle fetches.
• Flattened scheduler config (#10450): runtime.scheduler.partition_management.* fields are flattened directly onto runtime.scheduler and renamed under the canonical "partition assignment" terminology. See Breaking Changes.

Caching & Search​

Improvements across Caching and Search:

• Per-principal cache namespacing (#10702): SQL, search, and caching-accelerator caches are now namespaced per authenticated principal, so cached results never cross identity boundaries.
• DuckDB HNSW vector indexes (#10695, #10674, #10668): DuckDB-accelerated views support HNSW vector indexes for vector search, vector search SQL is rewritten to activate HNSW_INDEX_SCAN, and HNSW indexes are preserved across data refresh.

Security Improvements​

See Authentication and TLS for configuring Spice security.

• API key timing-position leak and remote-UDF SSRF (#10757): Closed a timing-based position-disclosure leak in API key comparison and blocked SSRF via remote UDF endpoint parameters.
• Configurable allowed_hosts for MCP (#10638): MCP servers can be restricted to an explicit allowlist of upstream hosts.

SQL, Query, and Developer Experience​

See the SQL Reference for the full SQL surface area.

• SQL REPL expanded view (#10797): Toggle \x in the REPL for a vertical key-value layout on wide result sets.
• FlightSQL Substrait plan support (#10761): The Spice runtime now implements CommandStatementSubstraitPlan, enabling clients that submit plans as Substrait-encoded protobuf.
• MCP auth for streamable HTTP tools (#10927): Streamable HTTP MCP tools support native authentication via mcp_auth_token and mcp_headers, both with full Spice secret expansion.
• Elasticsearch FTS engine config and index lifecycle (#10672): Direct FTS engine configuration plus index lifecycle and ingestion controls for the Elasticsearch connector.
• Self-hosted Spice connector (#10546): Connect Spice to another self-hosted Spice runtime as a federated source.

Connector Bug Fixes​

Notable correctness fixes across the Data Connectors: DynamoDB Streams retry on transient errors (#10794) and typed-NULL handling in DML (#10511); ScyllaDB physical filter pushdown disabled to fix incorrect results (#10772); MSSQL TOP N pushdown for non-nullable sort columns (#10621); DuckLake include filter applied (#10738); DuckDB DELETE/UPDATE on full and caching refresh modes (#10632); checked arithmetic for Turso integer-millis and timestamp-to-nanosecond conversions (#10786, #10666); and Flight GetFlightInfo/DoGet schema parity (#10864). See the Changelog for the full list.

Dependency Updates​

Contributors​

• @ewgenius
• @Jeadie
• @krinart
• @lukekim
• @peasee
• @phillipleblanc
• @sgrebnov

Breaking Changes​

Flattened runtime.scheduler configuration (#10450): The nested runtime.scheduler.partition_management block has been flattened and renamed to use the canonical "partition assignment" terminology. Migrate as follows:

# Before
runtime:
  scheduler:
    partition_management:
      interval: 30s
      max_assignments_per_cycle: 16
      discovery_timeout: 10s

# After
runtime:
  scheduler:
    partition_assignment_interval: 30s
    max_assignments_per_interval: 16
    partition_discovery_timeout: 10s

Cookbook Updates​

No new cookbook recipes.

The Spice Cookbook includes 86 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v2.0.0-rc.5, use one of the following methods:

CLI:

spice upgrade v2.0.0-rc.5

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:2.0.0-rc.5 image:

docker pull spiceai/spiceai:2.0.0-rc.5

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai --version 2.0.0-rc.5

AWS Marketplace:

Spice is available in the AWS Marketplace.

What's Changed​

Changelog​

• Enable DML support for PostgreSQL data connector by @phillipleblanc in #10446
• feat(postgres): support inline PEM sslrootcert by @claudespice in #10578
• Add foreign key metadata discovery to PostgreSQL Catalog by @sgrebnov in #10849
• Add Snowflake DML support by @lukekim in #10747
• Add MongoDB Change Streams support by @lukekim in #10813
• Add user-defined functions by @lukekim in #10571
• Add table user functions and gate HTTP servers by @lukekim in #10675
• feat: add on-demand dataset loading by @phillipleblanc in #10629
• feat(runtime): declared-schema deferred datasets by @phillipleblanc in #10669
• feat(spicepod, runtime): add columns[].type / nullable + lenient type parser by @phillipleblanc in #10661
• Replace external smb crate with internal SMB 3.1.1 client by @phillipleblanc in #10516
• Add unified query cancellation across all paths by @lukekim in #10390
• Add dynamic HTTP request headers by @lukekim in #10604
• feat(http): Support dynamic HTTP connector request params from subqueries by @lukekim in #10636
• feat(http): pass through HTTP metadata columns with JSON schema decomposition by @lukekim in #10679
• Add nolimit HTTP pagination max pages by @lukekim in #10673
• Add shared HTTP rate control for connectors by @lukekim in #10648
• Use origin label instead of name for HTTP rate control metrics by @lukekim in #10689
• fix(http): reject OR across different HTTP filter columns by @lukekim in #10625
• Add provider-aware LLM prompt caching by @lukekim in #10645
• Add searchable registry mode for LLM tools by @lukekim in #10647
• feat: refresh_mode: snapshot + SQLite/Turso WAL flush + Cayenne metastore slice by @phillipleblanc in #10651
• feat: per-principal cache namespacing for SQL/search/caching-accelerator by @lukekim in #10702
• Add self-hosted Spice connector support by @phillipleblanc in #10546
• Add Delta Lake Azure tenant parameter by @phillipleblanc in #10671
• Support OAuth2 client credentials in 'spice cloud login' by @ewgenius in #10586
• Add configurable allowed_hosts for MCP by @lukekim in #10638
• fix: make Helm chart probes configurable by @peasee in #10696
• Strip high-cardinality datasets dim from anonymous telemetry by @lukekim in #10711
• feat(elasticsearch): direct FTS engine config + index lifecycle and ingestion controls by @lukekim in #10672
• Add DuckDB HNSW vector index support for accelerated views by @sgrebnov in #10695
• Rewrite DuckDB vector search SQL to activate HNSW_INDEX_SCAN by @sgrebnov in #10674
• Fix DuckDB HNSW vector indexes lost after data refresh by @sgrebnov in #10668
• Fix DuckDB DELETE/UPDATE on full and caching refresh mode datasets by @phillipleblanc in #10632
• Fix DuckLake connector: downcast, module registration, schema discovery, and S3 credentials by @sgrebnov in #10650
• Fix federation pushing denied functions inside subqueries to remote engines by @phillipleblanc in #10692
• fix(caching): honour refresh_on_startup: always in caching mode by @phillipleblanc in #10594
• fix(iceberg): rebuild storage factory when Hadoop catalog scheme is inferred by @sgrebnov in #10601
• Pipeline CDC ingestion: overlap source reads with batch apply by @lukekim in #10676
• fix: add NULL check to CDC primary key extraction by @lukekim in #10684
• Properly handle nullability during CDC processing by @krinart in #10803
• Flatten scheduler config and rename partition management → partition assignment by @lukekim in #10450
• Improve NSQL UX and harden internal LLM tools by @lukekim in #10715
• Support Responses API across model providers by @lukekim in #10724
• Update xAI default model and handle Grok model retirements by @Jeadie in #10723
• Improve cli table layout by @krinart in #10725
• TLS cert hot-reload (mTLS plan M1) by @phillipleblanc in #10727
• Fix DuckLake catalog include filter being ignored by @phillipleblanc in #10738
• Promote DuckLake Catalog and Data Connector to Beta quality by @sgrebnov in #10743
• feat(ducklake): Support INSERT on catalog tables with read_write access by @sgrebnov in #10744
• perf(cdc): coalesce envelopes and overlap commits in apply pipeline by @lukekim in #10745
• feat: Allow full version tags in spicepod version by @peasee in #10748
• Add Arrow primary key upserts by @lukekim in #10749
• fix(snapshot): keep refresh_mode snapshot read-only by @phillipleblanc in #10752
• feat(tls): public mTLS for HTTP and Flight (channel + identity modes) by @phillipleblanc in #10753
• perf(cayenne): lock-free deletion caches with bloom-prefiltered probe by @lukekim in #10756
• fix(security): close API key timing-position leak and remote-UDF SSRF by @lukekim in #10757
• Fix 'wait_until_dependent_tables_are_ready' for catalogs by @phillipleblanc in #10758
• Fixes for views and resolved tables on 'spice refresh' CLI by @phillipleblanc in #10759
• Implement FlightSQL CommandStatementSubstraitPlan support by @lukekim in #10761
• feat(connectors): mTLS client cert support for flightsql and spiceai connectors by @phillipleblanc in #10764
• Allow arbitrary filenames when specifying spicepod path + kind validation by @krinart in #10777
• fix: ignore field metadata in schema compatibility check in index_table_scan by @Jeadie in #10778
• Display pushed-down limits in EXPLAIN TREE output by @lukekim in #10779
• fix: enable streaming append for Kafka with Cayenne accelerator by @lukekim in #10780
• fix: bound chunked-index intermediate batch size to prevent OOM by @phillipleblanc in #10783
• fix: label all columns in spice cloud metrics table output by @claudespice in #10784
• fix: use checked arithmetic for Turso integer-millis timestamp read path by @claudespice in #10786
• fix: use checked arithmetic in timestamp-to-nanosecond conversions by @claudespice in #10666
• Upgrade to DuckDB v1.5.2 by @sgrebnov in #10788
• Improve CDC ingestion performance by @lukekim in #10789
• Fix tool_search/tool_invoke spans by @lukekim in #10791
• Add Cayenne inline mutations and benchmark coverage by @lukekim in #10792
• Ensure we always resolve table names in distributed mode/metadata by @Jeadie in #10793
• Remove permanent errors from DynamoDB Streams by @krinart in #10794
• Add expanded view mode for wide table display in SQL REPL by @lukekim in #10797
• Fix Cayenne CDC schema mismatch error by @sgrebnov in #10800
• Executors should create catalog tables on join by @Jeadie in #10807
• Add compressed file support for listing connectors by @lukekim in #10809
• Improve Cayenne mutation, scan, and inline memtable scaling by @lukekim in #10811
• Add range fallback for large join filters by @lukekim in #10816
• Improve Cayenne join filter pushdown by @lukekim in #10818
• Synchronize Cayenne partition commits across partitions by @phillipleblanc in #10819
• fix: Deny nondistributed cayenne catalog by @peasee in #10821
• Enable parallel Cayenne Vortex writes by @lukekim in #10822
• Expand Arrow type handling in formatting and Elasticsearch by @lukekim in #10825
• Add response.output_text.delta to responses API by @krinart in #10828
• feat(cayenne): add join filter propagation and no-spill Q21 planning by @lukekim in #10840
• Upgrade Turso to v0.6.0 by @sgrebnov in #10843
• feat(cli): add spice feedback command to open community Slack by @lukekim in #10856
• Upgrade iceberg to v0.9.1 by @sgrebnov in #10859
• feat(cluster): per-request executor readiness gate on /v1/ready by @phillipleblanc in #10860
• fix: Require dim-side statistics for CayennePropagateFilterAcrossEquiJoinKeys by @sgrebnov in #10863
• fix: Debezium schema evolution breaks dataset init on reload by @claudespice in #10144
• fix(mssql): Push topK limit to SQL Server for non-nullable sort columns by @Jeadie in #10621
• fix(ScyllaDB): disable physical filter pushdown by @sgrebnov in #10772
• fix: handle typed NULLs and prevent overflow in DynamoDB DML type conversions by @krinart in #10511
• fix: use InsertOp::Overwrite in DynamoDB bootstrap scan_and_overwrite_accelerator by @krinart in #10639
• Improve DynamoDB Bootstrap performance by @krinart in #10616
• fix: preserve field and schema metadata in Vortex type transformation by @lukekim in #10628
• fix: GH connector - explicitly use AWS LC RS crypto provider for jwt by @phillipleblanc in #10619
• fix: add snapshot mode guards to delete_from/update and delegate DML in SwappableTableProvider by @phillipleblanc in #10685
• Persist HTTP rate-control state in object storage by @lukekim in #10697
• Rate limit metrics HTTP endpoint by @lukekim in #10162
• feat(geo): add optional spatial SQL UDF support by @lukekim in #10833
• feat(cayenne): CDC throughput, compaction, scan caching, and benchmarks by @lukekim in #10852
• fix(cayenne): fix Vortex panic on highly compressible data by @sgrebnov in #10855
• fix(cayenne): Read live protected snapshots after cleanup grace period by @sgrebnov in #10901
• fix: Disable Cayenne HashJoin rewriter optimizer by @sgrebnov in #10882
• Fix GetFlightInfo vs DoGet Flight Schema by @krinart in #10864
• fix(search): preserve column casing in /v1/search primary key plumbing by @claudespice in #10909
• fix(object-store): dedupe s3 url style auto-detection log by @phillipleblanc in #10898
• Improve Spice CLI manifest editing and direct command modes by @lukekim in #10815
• Persist Kafka CDC offsets in sidecar tables by @lukekim in #10823
• feat(task-history): record Ballista stages for distributed queries by @phillipleblanc in #10831
• Add '#[deny(clippy::missing_trait_methods)]' to wrapper/delegation trait impls by @Jeadie in #10795
• Optimize Cayenne catalog maintenance paths by @lukekim in #10904
• Centralize DuckDB settings for accelerator by @ewgenius in #10895
• deps(ballista): bump to 47e2b494 to fix S3 shuffle reads under cluster mode by @phillipleblanc in #10910
• Authorization header + Bump async-openai + responses_adapter fix by @krinart in #10911
• Tune accelerators by storage profile by @lukekim in #10913
• feat: add dataset-level on_schema_change config by @lukekim in #10908
• Handle NULL sentinel for nullable partition expressions by @Jeadie in #10880
• fix: Remove Cayenne Catalog from catalog registration by @peasee in #10914
• Add catalog name to foreign key metadata in postgres catalog by @Jeadie in #10917
• Cayenne perf: eliminate redundant clones, PK point-lookup fanout fix, IN-list rewrite + microbench coverage by @lukekim in #10916
• fix(turso-shared): retry on Turso BEGIN CONCURRENT "Write-write conflict" by @lukekim in #10946
• Vendor Vortex DataFusion for Cayenne by @lukekim in #10933
• perf(cayenne): background retention + enable CDC pipelining for retention-configured tables by @lukekim in #10936
• feat(cayenne): scale metastore pool to 32 + vs_duckdb_scaling benches (1→128 concurrency, sqlite + turso lanes) by @lukekim in #10943
• feat(mcp): support auth for streamable HTTP tools by @phillipleblanc in #10927
• Explicit error if v1/search requests a table without search index by @Jeadie in #10968
• Fix spicepod loading failure when directory name contains dots by @sgrebnov in #10958
• Extend append tests with arrow engine configurations by @sgrebnov in #10959
• Remove dataset on_schema_change Policy from rc.5 release notes by @sgrebnov in #10964
• Skip tpcds_q78 for Cayenne engine at SF100 by @sgrebnov in #10966
• fix: Update benchmark snapshots May-20 by @app/github-actions in #10952
• Fix #10951: UdtfExec invariant Vec lengths must match children count by @phillipleblanc in #10953
• docs(release): update v2.0.0-rc.5 notes with latest trunk PRs by @lukekim in #10949
• Remove eval related things for v2.0.0 by @Jeadie in #10945
• build(deps): bump ubuntu from 24.04 to 26.04 in the docker-dependencies group by @app/dependabot in #10883
• fix: Add publish = false to chbench-driver by @sgrebnov in #10939

Full Changelog: https://github.com/spiceai/spiceai/compare/v2.0.0-rc.4...v2.0.0-rc.5

Announcing the release of Spice v2.0-rc.3! ⚡

v2.0.0-rc.3 is the third release candidate for advanced testing of v2.0, building on v2.0.0-rc.2.

Highlights in this release candidate include:

• HTTP Connector Enhancements with OAuth2 refresh-token authentication, query-parameter pagination, and map-to-array conversion for broader API compatibility
• Databricks and Unity Catalog Reliability Improvements with resilience controls, improved UC-awareness, permission checks, and structured error reporting
• Snowflake and ADBC Registration Performance Improvements with better observability during dataset registration
• OpenTelemetry Exporter Improvements with exporter fixes and support for authenticated metrics export
• Kafka, GitHub, and HTTP Connector Fixes including Kafka reliability improvements, GitHub GraphQL resilience updates, and HTTP JSON union/reload fixes

What's New in v2.0.0-rc.3​

HTTP Connector Enhancements​

The HTTP connector now supports more authentication and API response patterns, making it easier to integrate with modern REST APIs.

Key improvements:

• OAuth2 Refresh-Token Authentication: Added support for OAuth2 refresh-token flows for APIs that issue short-lived access tokens.
• Query-Parameter Pagination: Added pagination support using query parameters for APIs that expose page or cursor controls in the URL.
• Map-to-Array Conversion: Added response transformation support for APIs that return map-shaped payloads that need to be normalized into arrays.
• Improved JSON Union Handling: Better handling for heterogeneous JSON payloads during ingestion.
• More Reliable Reloads: Fixed runtime behavior for HTTP-backed datasets during spicepod reloads.

Example configuration of an HTTP connector using the OAuth2 refresh token flow:

datasets:
  - from: https://api.example.com
    name: secure_data
    params:
      file_format: json
      allowed_request_paths: '/v1/**'
      auth_token_url: https://auth.example.com/oauth/token
      http_auth_refresh_token: ${secrets:my_refresh_token}
      http_auth_client_id: ${secrets:my_client_id}
      http_auth_client_secret: ${secrets:my_client_secret}
      auth_scopes: 'read:data offline_access'

Databricks and Unity Catalog Reliability Improvements​

Databricks and Unity Catalog integrations are now more resilient and provide clearer behavior in permission-constrained environments.

Key improvements:

• Resilience Controls: Added controls to improve reliability when interacting with Databricks services.
• Unity Catalog Awareness: Improved handling for Unity Catalog-specific behaviors and mixed deployment configurations.
• Permission Prechecks: Databricks UC permission checks now distinguish explicit denials from ambiguous cases.
• Structured Error Reporting: Advisory permission failures now surface with more actionable structured errors.
• Classic SQL Warehouse Compatibility: Improved handling for foreign table scenarios with Classic SQL Warehouse combinations.
• Task History Instrumentation: Added instrumentation to improve observability for Databricks-related operations.

Snowflake and ADBC Improvements​

Snowflake and ADBC-backed dataset registration is now faster and easier to observe.

Key improvements:

• Faster Dataset Registration: Improved registration performance for Snowflake and ADBC datasets.
• Better Observability: Added better instrumentation and visibility into registration workflows.
• ADBC Alignment: Updated ADBC dependencies and integration points for improved compatibility.
• Search Schema Fix: Fixed a full-text search schema mismatch issue with the ADBC connector.

OpenTelemetry and Observability Improvements​

Spice improves telemetry export reliability and authenticated metrics delivery for the OpenTelemetry integration.

Key improvements:

• OTEL Exporter Fixes: Fixed issues in the OpenTelemetry exporter.
• Authenticated Metrics Export: Added support for authorization headers in the OTEL metrics exporter.
• Reduced Startup Noise: Suppressed unnecessary AWS SDK noise and improved OTEL-related initialization behavior.
• Connector Initialization Reliability: Fixed issues that could block connector initialization in telemetry-related code paths.

Dependency and Toolchain Updates​

Other Improvements​

• Improved Query Pushdown: Expanded sort and limit pushdown, including improved pushdown behavior for Oracle and MSSQL connectors.
• Partitioned Query Planning Improvements: Improved PartitionedTableScanRewrite handling for ORDER BY, partition expressions, and fully qualified table references, while preventing incorrect bucketing partition pushdown to executors.
• MongoDB SRV Support: Upgraded datafusion-table-providers with MongoDB SRV support.
• Tantivy Logging: Search logging now defaults to warn unless very verbose logging is enabled.
• Kafka Connector Fixes: Improved reliability for the Kafka connector behavior.
• GitHub Connector Resilience: Improved commit fetching for dynamic and slash refs, and reduced GraphQL page sizes on gateway errors for the GitHub connector.
• GitHub API Efficiency: Lowered default comment fetch sizes to reduce pressure on GitHub GraphQL APIs.
• Embedding Validation: Added validation for embedding row_id columns during dataset initialization.
• View Cache Invalidation: Cached plans are now cleared when views are updated.
• Refresh SQL Dedup Fix: Fixed append refresh deduplication when refresh_sql selects a subset of columns.

Contributors​

• @ewgenius
• @Jeadie
• @krinart
• @lukekim
• @peasee
• @sgrebnov

Breaking Changes​

No breaking changes.

Cookbook Updates​

No new cookbook recipes.

The Spice Cookbook includes 86 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v2.0.0-rc.3, use one of the following methods:

CLI:

spice upgrade v2.0.0-rc.3

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:2.0.0-rc.3 image:

docker pull spiceai/spiceai:2.0.0-rc.3

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai --version 2.0.0-rc.3

AWS Marketplace:

Spice is available in the AWS Marketplace.

What's Changed​

Changelog​

• fix: Full Text Search schema mismatch with ADBC connector by @lukekim in #10235
• docs: Update v2.0.0-rc.2 release notes with latest changes by @lukekim in #10238
• Fix append refresh dedup failure when refresh_sql selects column subset by @sgrebnov in #10225
• Revert "Properly mark dataset as Ready on Scheduler (#10215)" by @sgrebnov in #10242
• Fix failing merge conflicts for benchmarks by @krinart in #10247
• fix(github): fetch commits for dynamic and slash refs by @lukekim in #10233
• Upgrade DataFusion to v52.5.0-rc1 by @lukekim in #10249
• Merge develop to trunk (2026-04-09) by @claudespice in #10248
• fix: Validate embedding row_id columns during dataset init (fixes #8226) by @claudespice in #10208
• fix: Update tpch benchmark snapshots for federated/glue[csv].yaml by @app/github-actions in #10244
• feat(databricks): add resilience controls, UC awareness, and task history instrumentation by @lukekim in #10246
• fix: Make PartitionManager resilient to bare vs fully qualified table references by @sgrebnov in #10257
• fix: Update tpch benchmark snapshots for accelerated/s3[parquet]-cayenne[file].yaml by @app/github-actions in #10256
• Merge develop to trunk (2026-04-10) by @claudespice in #10251
• Improve Snowflake/ADBC dataset registration performance and observability by @lukekim in #10266
• Fixes for kafka connector by @krinart in #10263
• fix(runtime): gate otel code tags, suppress aws sdk noise, and unblock connector init by @lukekim in #10260
• fix(runtime): avoid regionless AWS SDK loads by @lukekim in #10271
• Add versioned release install workflow coverage by @lukekim in #10276
• fix(runtime): handle HTTP JSON unions and spicepod reloads by @lukekim in #10277
• Databricks UC permission prechecks: explicit denial as permanent error, ambiguous cases advisory by @lukekim in #10274
• Revert component status changes re-introduced by develop merge (#10248) by @sgrebnov in #10293
• Fix broken CI workflows by @ewgenius in #10294
• Group dependabot updates by ecosystem by @lukekim in #10296
• fix(tests): Replace flaky S3 Vectors snapshot tests with structural validation by @lukekim in #10301
• Update test_github_workflows snapshot by @lukekim in #10304
• fix(ci): fix Bedrock runner mismatch and snapshot auto-merge failure by @ewgenius in #10306
• feat(http): Add map-to-array conversion and query-parameter pagination by @lukekim in #10295
• New crate: datafusion-ddl by @Jeadie in #10205
• Make Databricks UC permission checks advisory with structured error reporting by @lukekim in #10283
• build(deps): bump the github-actions-dependencies group with 4 updates by @app/dependabot in #10298
• fix: Clear cached plans on view updates by @peasee in #10312
• build(deps): bump the aws-sdk group with 7 updates by @app/dependabot in #10299
• Code out of runtime. by @Jeadie in #10178
• fix: Respect function registry denies for accelerated table filter pushdown by @peasee in #10311
• fix: Don't block heartbeat when all slots acquired by @peasee in #10322
• fix: strip only outer parens in get_table_partition_expr_from_ctx by @Jeadie in #10323
• Upgrade datafusion-table-providers with MongoDB SRV support by @lukekim in #10317
• fix: Avoid pushing down bucketing partition expressions into executors by @peasee in #10324
• Upgrade datafusion-table-providers to d1b911a5 and bump adbc to 0.23 by @lukekim in #10329
• fix: Update Search integration test snapshots by @app/github-actions in #10308
• Handle foreign table + Classic sql warehouse combination gracefully by @krinart in #10318
• New crate datafusion-flightsql by @Jeadie in #10201
• Set tantivy=warn unless very verbose logging by @Jeadie in #10338
• Remove image registry and image name options from spidapter by @ewgenius in #10241
• build(deps): bump sysinfo from 0.37.2 to 0.38.4 by @app/dependabot in #10291
• build(deps): bump futures from 0.3.31 to 0.3.32 by @app/dependabot in #10289
• New crate 'datafusion-dml' by @Jeadie in #10334
• Jeadie/26 04 16/spice sql by @Jeadie in #10343
• Add Teraswitch/Pittsburgh apt mirrors + retry config for CI runners by @lukekim in #10349
• Implement sort pushdown and fix pushdown gaps across providers by @lukekim in #10337
• Merge develop to trunk (2026-04-16) by @claudespice in #10345
• Update candle and mistral.rs lock-step pins by @lukekim in #10278
• docs: fix status badges in README by @lukekim in #10350
• Migrate secrets to vars by @krinart in #10354
• Add limit pushdown and improve sort pushdown for Oracle and MSSQL by @sgrebnov in #10351
• Fix ubuntu mirror configuration by @ewgenius in #10359
• fix: Increase throughput test default ready_wait from 30s to 300s (fixes #8207) by @claudespice in #10344
• Add auth headers support to OTEL metrics exporter by @lukekim in #10347
• fix(github): shrink GraphQL page size on gateway errors; lower comment defaults by @lukekim in #10355
• Relax apt mirror substitution failure to warning in CI action by @ewgenius in #10361
• feat(http): Add OAuth2 refresh-token auth to HTTP connector by @lukekim in #10348
• Upgrade Rust toolchain to 1.94.1 by @lukekim in #10353
• Handle order by and sort in PartitionedTableScanRewrite by @Jeadie in #9656
• Fix OTEL Exporter by @krinart in #10363
• Pin spiceai candle / TEI forks to merged revs; drop local [patch] overrides by @lukekim in #10362

Full Changelog: https://github.com/spiceai/spiceai/compare/v2.0.0-rc.2...v2.0.0-rc.3

Announcing the release of Spice v1.10.4! 🛠️

v1.10.4 is a patch release with fixes for Kafka/Debezium batch commits, ABFSS URL support for Azure Data Lake Storage Gen2, and improved column projection handling for location metadata columns.

What's New in v1.10.4​

Additional Improvements & Bug Fixes​

• Reliability: Fixed Kafka and Debezium batch commit handling to properly commit offsets across all partitions. Previously, only the last message's offset was committed, which could cause message loss when batches contained messages from multiple partitions.
• Reliability: Added support for abfss:// URL prefix for Azure Data Lake Storage Gen2, in addition to the existing abfs:// prefix. The abfss scheme indicates secure (TLS) connections to ADLS Gen2.
• Reliability: Fixed column projection order mismatch when querying datasets with location metadata columns (e.g., SELECT location, day, size FROM dataset). Queries that specified columns in a different order than the schema would fail with "column types must match schema types" errors.
• Developer Experience: Added detailed diagnostic logging for union projection pushdown optimization failures in cluster mode. When projection pushdown cannot be applied, debug-level logs now provide additional context to help identify the root cause.

Contributors​

• @krinart
• @phillipleblanc

Breaking Changes​

No breaking changes.

Cookbook Updates​

No major cookbook updates.

The Spice Cookbook includes 84 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v1.10.4, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.10.4 image:

docker pull spiceai/spiceai:1.10.4

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

AWS Marketplace:

🎉 Spice is now available in the AWS Marketplace!

What's Changed​

Changelog​

• Update acknowledgements by @app/github-actions in #8695
• Proper batch commit for kafka/debezium by @krinart in #8671
• Add support for abfss by @krinart in #8706
• cluster: UnionProjectionPushdownOptimizer: Add projection pushdown diagnostics for union children by @phillipleblanc in #8734
• Fix column projection order mismatch with location metadata columns by @phillipleblanc in #8738

Announcing the release of Spice v1.10.2! 🔥

v1.10.2 introduces Tiered Caching Acceleration with Localpod for multi-layer acceleration architectures, Periodic Acceleration Snapshots with configurable intervals, DynamoDB JSON Nesting for column consolidation, and Kafka/Debezium Batching for faster data ingestion. This release also includes fixes for SQLite accelerator decimal/date handling and real-time status reporting for the /v1/datasets and /v1/models API endpoints.

What's New in v1.10.2​

Tiered Caching with Localpod​

Multi-Layer Acceleration Architecture: The Localpod connector now supports caching refresh mode, enabling tiered acceleration where a persistent cache (e.g., file-mode DuckDB) feeds a fast in-memory cache (e.g., Arrow, memory-mode DuckDB).

Key Features:

• Automatic Cache Propagation: New cache entries automatically propagate from parent to child accelerators
• Warm Startup: Child accelerators initialize from existing parent data on startup, eliminating cold-start latency
• Flexible Tiering: Combine any accelerator engines (DuckDB, SQLite, Cayenne) across tiers

Example spicepod.yaml configuration:

datasets:
  # Parent: persistent file-mode cache
  - from: https://api.example.com
    name: api_cache
    acceleration:
      enabled: true
      refresh_mode: caching
      engine: duckdb
      mode: file

  # Child: fast in-memory cache fed by parent
  - from: localpod:api_cache
    name: api_cache_memory
    acceleration:
      enabled: true
      refresh_mode: caching
      engine: arrow
      mode: memory

For more details, refer to the Localpod Data Connector Documentation.

Periodic Acceleration Snapshots​

Configurable Snapshot Intervals: A new snapshots_create_interval parameter enables periodic snapshot creation for accelerated datasets across all refresh modes. This provides better control over snapshot frequency and ensures consistent recovery points for accelerated data.

Example spicepod.yaml configuration:

datasets:
  - from: s3://my-bucket/data.parquet
    name: my_data
    acceleration:
      enabled: true
      engine: duckdb
      mode: file
      refresh_mode: caching
      snapshots: enabled
      params:
        snapshots_create_interval: 60s # Write a snapshot every 60 seconds

For more details, refer to the Data Acceleration Documentation.

DynamoDB JSON Nesting​

Consolidate Columns into JSON: The DynamoDB Data Connector now supports consolidating columns into a single JSON column using the json_object: "*" metadata option. This is useful when only a few columns are needed as discrete fields while the rest can be accessed as nested JSON.

Example spicepod.yaml configuration:

datasets:
  - from: dynamodb:my_table
    name: my_table
    columns:
      - name: PK
      - name: SK
      - name: data_json
        metadata:
          json_object: '*' # Captures all other columns as JSON

Example Output: Given a DynamoDB table with columns PK, SK, name, email, and status, the resulting table schema consolidates all non-specified columns into the data_json column:

For more details, refer to the DynamoDB JSON Nesting Documentation.

Kafka/Debezium Batching​

Faster Data Ingestion: Configure message batching for Kafka and Debezium connectors to improve data ingestion throughput. Batching reduces processing overhead by grouping multiple messages together before insertion.

Key Features:

• Configurable Batch Size: Control the maximum number of records per batch (default: 10,000)
• Configurable Batch Duration: Set the maximum wait time before flushing a partial batch (default: 1s)

Example spicepod.yaml configuration:

datasets:
  - from: debezium:kafka-server.public.my_table
    name: my_table
    params:
      batch_max_size: 10000 # Max records per batch (default: 10000)
      batch_max_duration: 1s # Max wait time per batch (default: 1s)

For more details, refer to the Kafka Data Connector Documentation and Debezium Data Connector Documentation.

Additional Improvements & Bug Fixes​

• Reliability: Fixed SQLite accelerator decimal and date type handling for improved data type accuracy.
• Reliability: Fixed real-time status reporting for /v1/datasets and /v1/models API endpoints.
• Reliability: Fixed Kafka warning when security.protocol is set to PLAINTEXT.

Contributors​

• @phillipleblanc
• @lukekim
• @krinart

Breaking Changes​

No breaking changes.

Cookbook Updates​

New Cayenne Data Accelerator Recipe: New recipe demonstrating how to accelerate a local copy of the taxi trips dataset using Cayenne as the data accelerator engine. See Cayenne Data Accelerator Recipe for details.

New Dataset Partitioning Recipe: New recipe demonstrating how to partition accelerated datasets to improve query performance. See Dataset Partitioning for details.

The Spice Cookbook includes 84 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v1.10.2, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.10.2 image:

docker pull spiceai/spiceai:1.10.2

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

AWS Marketplace:

🎉 Spice is now available in the AWS Marketplace!

What's Changed​

Changelog​

• Fix kafka warning when security.protocol is set to PLAINTEXT by @krinart in #8587
• fix: SQLite accelerator decimal/date handling by @phillipleblanc in #8606
• feat: Enable localpod with caching mode accelerator for tiered caching by @phillipleblanc in #8621
• Remove the clippy::too_many_lines lint by @phillipleblanc in #8549
• Add snapshot interval for acceleration snapshots by @phillipleblanc in #8627
• Json Nesting for DynamoDB by @krinart in #8623
• Implement batching for Kafka/Debezium + null Decimal handling by @krinart in #8622
• fix: Status field in /v1/datasets & /v1/models by @lukekim in #8633

Announcing the release of Spice v1.6.1! ⚡

Spice 1.6.1 is a patch release that provides improved Kafka type inference and JSON flattening support, alongside several bug fixes.

What's New in v1.6.1​

Improved Kafka Type Inference: Improve Kafka type inference by configuring the number of Kafka messages sampled during schema inference. Increasing the sample size can improve the robustness and reliability of inferred schemas, especially in cases where data contains optional fields or varying structures.

Example spicepod.yml:

dataset:
  - from: kafka:orders_events
    name: orders
    params:
      schema_infer_max_records: 100 # Default 1.

For details, see the Kafka Data Connector Documentation.

Improved Kafka JSON Support: Enable nested JSON Kafka messages to be represented in flattened JSON format for the dataset schema.

Example spicepod.yml:

dataset:
  - from: kafka:orders_events
    name: orders
    params:
      flatten_json: true # default false

For example, the object:

{
  "order_id": "a1f2c3d4-1111-2222-3333-444455556666",
  "customer": {
    "id": 101,
    "name": "Alice",
    "premium": true,
    "contact": {
      "email": "[email protected]",
      "phone": "555-1234"
    }
  },
  "discount": 5.0,
  "shipped": false
}

With flatten_json: true the result is:

+------------------------+-----------+-------------+
| column_name            | data_type | is_nullable |
+------------------------+-----------+-------------+
| order_id               | Utf8      | YES         |
| customer.id            | Int64     | YES         |
| customer.name          | Utf8      | YES         |
| customer.premium       | Boolean   | YES         |
| customer.contact.email | Utf8      | YES         |
| customer.contact.phone | Utf8      | YES         |
| discount               | Float64   | YES         |
| shipped                | Boolean   | YES         |
+------------------------+-----------+-------------+

With flatten_json: false or ommitted the result is:

+-------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------+
| column_name | data_type                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                | is_nullable |
+-------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------+
| order_id    | Utf8                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | YES         |
| customer    | Struct([Field { name: "id", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "name", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "premium", data_type: Boolean, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "contact", data_type: Struct([Field { name: "email", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }, Field { name: "phone", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }]) | YES         |
| discount    | Float64                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | YES         |
| shipped     | Boolean                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | YES         |
+-------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------+

For details, see the Kafka Data Connector Documentation.

Contributors​

• @Jeadie
• @Advayp
• @sgrebnov
• @phillipleblanc

Breaking Changes​

No breaking changes.

Cookbook Updates​

No new cookbook recipes added in this release.

The Spice Cookbook includes 77 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v1.6.1, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.6.1 image:

docker pull spiceai/spiceai:1.6.1

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

AWS Marketplace:

🎉 Spice is now available in the AWS Marketplace!

What's Changed​

Changelog​

• Fix metadata field issue by @Advayp in #6957
• Update datafusion and datafusion-table-providers crates (#6985) by @Jeadie in #6985
• Add flatten_json param support for Kafka connector (#6976) by @sgrebnov in #6976
• Add schema_inference_sample_count param support for Kafka connector (#6969) by @sgrebnov in #6969
• Add integration test for Kafka connector (#6965) by @sgrebnov in #6965
• Skip dataset health check for IcebergTableProvider datasets by @phillipleblanc in #6995

Announcing the release of Spice v1.6.0! 🔥

Spice 1.6.0 upgrades DataFusion to v48, reducing expressions memory footprint by ~50% for faster planning and lower memory usage, eliminating unnecessary projections in queries, optimizing string functions like ascii and character_length for up to 3x speedup, and accelerating unbounded aggregate window functions by 5.6x. The release adds Kafka and MongoDB connectors for real-time streaming and NoSQL data acceleration, supports OpenAI Responses API for advanced model interactions including OpenAI-hosted tools like web_search and code_interpreter, improves the OpenAI Embeddings Connector with usage tier configuration for higher throughput via increased concurrent requests, introduces Model2Vec embeddings for ultra-low-latency encoding, and improves the Amazon S3 Vectors engine to support multi-column primary keys.

What's New in v1.6.0​

DataFusion v48 Highlights​

Spice.ai is built on the DataFusion query engine. The v48 release brings:

Performance & Size Improvements 🚀: Expressions memory footprint was reduced by ~50% resulting in faster planning and lower memory usage, with planning times improved by 10-20%. There are now fewer unnecessary projections in queries. The string functions, ascii and character_length were optimized for improved performance, with character_length achieving up to 3x speedup. Queries with unbounded aggregate window functions have improved performance by 5.6 times via avoided unnecessary computation for constant results across partitions. The Expr struct size was reduced from 272 to 144 bytes.

New Features & Enhancements ✨: Support was added for ORDER BY ALL for easy ordering of all columns in a query.

See the Apache DataFusion 48.0.0 Blog for details.

Runtime Highlights​

Amazon S3 Vectors Multi-Column Primary Keys: The Amazon S3 Vectors engine now supports datasets with multi-column primary keys. This enables vector indexes for datasets where more than one column forms the primary key, such as those splitting documents into chunks for retrieval contexts. For multi-column keys, Spice serializes the keys using arrow-json format, storing them as single string keys in the vector index.

Model2Vec Embeddings: Spice now supports model2vec static embeddings with a new model2vec embeddings provider, for sentence transformers up to 500x faster and 15x smaller, enabling scenarios requiring low latency and high-throughput encoding.

embeddings:
  - from: model2vec:minishlab/potion-base-8M # HuggingFace model
    name: potion
  - from: model2vec:path/to/my/local/model # local model
    name: local

Learn more in the Model2Dev Embeddings documentation.

Kafka Data Connector: Use from: kafka:<topic> to ingest data directly from Kafka topics for integration with existing Kafka-based event streaming infrastructure, providing real-time data acceleration and query without additional middleware.

Example Spicepod.yml:

- from: kafka:orders_events
  name: orders
  acceleration:
    enabled: true
    refresh_mode: append
  params:
    kafka_bootstrap_servers: server:9092

Learn more in the Kafka Data Connector documentation.

MongoDB Data Connector: Use from: mongodb:<dataset> to access and accelerate data stored in MongoDB, deployed on-premises or in the cloud.

Example spicepod.yml:

datasets:
  - from: mongodb:my_dataset
    name: my_dataset
    params:
      mongodb_host: localhost
      mongodb_db: my_database
      mongodb_user: my_user
      mongodb_pass: password

Learn more in the MongoDB Data Connector documentation.

OpenAI Responses API Support: The OpenAI Responses API (/v1/responses) is now supported, which is OpenAI's most advanced interface for generating model responses.

To enable the /v1/responses HTTP endpoint, set the responses_api parameter to enabled:

Example spicepod.yml:

models:
  - name: openai_model_using_responses_api
    from: openai:gpt-4.1
    params:
      openai_api_key: ${ secrets:OPENAI_API_KEY }
      responses_api: enabled # Enable the /v1/responses endpoint for this model

Example curl request:

curl http://localhost:8090/v1/responses \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4.1",
    "input": "Tell me a three sentence bedtime story about Spice AI."
  }'

To use responses in spice chat, use the --responses flag.

Example:

spice chat --responses # Use the `/v1/responses` endpoint for all completions instead of `/v1/chat/completions`

Use OpenAI-hosted tools supported by Open AI's Responses API by specifying the openai_responses_tools parameter:

Example spicepod.yml:

models:
  - name: test
    from: openai:gpt-4.1
    params:
      openai_api_key: ${ secrets:SPICE_OPENAI_API_KEY }
      tools: sql, list_datasets
      responses_api: enabled
      openai_responses_tools: web_search, code_interpreter #  'code_interpreter' or 'web_search'

These OpenAI-specific tools are only available from the /v1/responses endpoint. Any other tools specified via the tools parameter are available from both the /v1/chat/completions and /v1/responses endpoints.

Learn more in the OpenAI Model Provider documentation.

OpenAI Embeddings & Models Connectors Usage Tier: The OpenAI Embeddings and Models Connectors now supports specifying account usage tier for embeddings and model requests, improving the performance of generating text embeddings or calling models during dataset load and search by increasing concurrent requests.

Example spicepod.yml:

embeddings:
  - from: openai:text-embedding-3-small
    name: openai_embed
    params:
      openai_usage_tier: tier1

By setting the usage tier to the matching usage tier for your OpenAI account, the Embeddings and Models Connector will increase the maximum number of concurrent requests to match the specified tier.

Learn more in the OpenAI Model Provider documentation.

Contributors​

• @Jeadie
• @peasee
• @sgrebnov
• @Sevenannn
• @kczimm
• @phillipleblanc
• @Advayp
• @lukekim
• @ewgenius
• @mach-kernel
• @krinart

New Contributors​

• @krinart made their first contribution in github.com/spiceai/spiceai/pull/6573

Breaking Changes​

No breaking changes.

Cookbook Updates​

• Added OpenAI Responses API - Use OpenAI's Responses API with Spice
• Added Live Orders Analytics with Apache Kafka Data Connector - Combine real-time data streaming from Kafka with other datasets
• Added MongoDB Data Connector - Use MongoDB as a data source with Spice

The Spice Cookbook includes 77 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v1.6.0, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.6.0 image:

docker pull spiceai/spiceai:1.6.0

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

AWS Marketplace:

🎉 Spice is also now available in the AWS Marketplace!

What's Changed​

Dependencies​

• DataFusion: Upgraded to v48
• Rust: Upgraded from 1.86.0 to 1.87.0

Changelog​

• Support Streaming with Tool Calls (#6941) by @Advayp in #6941
• Fix parameterized query planning in DataFusion (#6942) by @Jeadie in #6942
• Update the UnableToLoadCredentials error with a pointer to docs (#6937) by @phillipleblanc in #6937
• Fix spicecloud benchmark (#6935) by @krinart in #6935
• [Debezium] Support for VariableScaleDecimal (#6934) by @krinart in #6934
• Update to DF 48 (#6665) by @mach-kernel and @kczimm in #6665
• Mark append-stream and CDC datasets as ready after first message (#6914) by @sgrebnov in #6914
• Model2Vec embedding model support (#6846) by @mach-kernel in #6846
• Update snapshot for S3 vector search test (#6920) by @Jeadie in #6920
• remove [] from queryset in spicepod path for CI (#6919) by @Jeadie in #6919
• Remove verbose tracing (#6915) by @Jeadie in #6915
• Refactor how models supporting the Responses API are loaded (#6912) by @Advayp in #6912
• Write tests for truncate formatting in arrow_tools and fix bug. (#6900) by @Jeadie in #6900
• Support using the Responses API from spice chat (#6894) by @Advayp in #6894
• Include GPT-5 into Text-To-SQL and Financebench benchmarks (#6907) by @sgrebnov in #6907
• Better error message when credentials aren't loaded for S3 Vectors (#6910) by @phillipleblanc in #6910
• Add tracing and system prompt support for the Responses API (#6893) by @Advayp in #6893
• Constraint violation check is improved to control behavior when violations occur within a batch (#6897) by @phillipleblanc in #6897
• fix: Multi-column text search with v1/search (#6905) by @peasee in #6905
• fix: Correctly project text search primary keys to underlying projection (#6904) by @peasee in #6904
• fix: Update benchmark snapshots (#6901) by @app/github-actions in #6901
• In S3vector, do not pushdown on non-filterable columns (#6884) by @Jeadie in #6884
• Run E2E Test CI macOS build on bigger runners (#6896) by @phillipleblanc in #6896
• Enable configuration of the Responses API for the Azure model provider (#6891) by @Advayp in #6891
• fix: Update benchmark snapshots (#6888) by @app/github-actions in #6888
• Update OpenAPI specification for /v1/responses (#6889) by @Advayp in #6889
• Add test to ensure tools are injected correctly in the Responses API (#6886) by @Advayp in #6886
• Enable embeddings for append streams (#6878) by @sgrebnov in #6878
• Show correct limit for EXPLAIN plans in S3VectorsQueryExec (#6852) by @Jeadie in #6852
• Responses API support for Azure Open AI (#6879) by @Advayp in #6879
• fix: Update search test case structure (#6865) by @peasee in #6865
• Fix mongodb benchmark (#6883) by @phillipleblanc in #6883
• Support multiple column primary keys for S3 vectors. (#6775) by @Jeadie in #6775
• Kafka Data Connector: persist consumer between restarts (#6870) by @sgrebnov in #6870
• Fix newlines in errors added in recent PRs (#6877) by @phillipleblanc in #6877
• Add override parameter to force support for the Responses API (#6871) by @Advayp in #6871
• Don't use metadata columns in VectorScanTableProvider (#6854) by @Jeadie in #6854
• Add non-streaming tool call support (hosted and Spice tools) via the Responses API (#6869) by @Advayp in #6869
• Update error guideline to remove newlines + remove newlines from error messages. (#6866) by @phillipleblanc in #6866
• Remove void acceleration engine + optional table behaviors (#6868) by @phillipleblanc in #6868
• Kafka Data Connector basic support (#6856) by @sgrebnov in #6856
• Federated+Accelerated TPCH Benchmarks for MongoDB (#6788) by @krinart in #6788
• Pass embeddings calculated in compute_index to the acceleration (#6792) by @phillipleblanc in #6792
• Add non-streaming and streaming support for OpenAI Responses API endpoint (#6830) by @Advayp in #6830
• Use latest version of OpenAI crate to resolve issues with Service Tier deserialization (#6853) by @Advayp in #6853
• Update openapi.json (#6799) by @app/github-actions in #6799
• Improve management message (#6850) by @lukekim in #6850
• fix: Include FTS search column if it is the PK (#6836) by @peasee in #6836
• Refactor Health Checks (#6848) by @Advayp in #6848
• Introduce a Responses trait and LLM registry for model providers that support the OpenAI Responses API (#6798) by @Advayp in #6798
• fix: Update datafusion-table-providers to include constraints (#6837) by @peasee in #6837
• Bump postcard from 1.1.2 to 1.1.3 (#6841) by @app/dependabot in #6841
• Bump governor from 0.10.0 to 0.10.1 (#6835) by @app/dependabot in #6835
• Bump ctor from 0.2.9 to 0.5.0 (#6827) by @app/dependabot in #6827
• Bump azure_core from 0.26.0 to 0.27.0 (#6826) by @app/dependabot in #6826
• Bump rstest from 0.25.0 to 0.26.1 (#6825) by @app/dependabot in #6825
• Use latest commit in our fork of async-openai (#6829) by @Advayp in #6829
• Bump rustls from 0.23.27 to 0.23.31 (#6824) by @app/dependabot in #6824
• Bump async-trait from 0.1.88 to 0.1.89 (#6823) by @app/dependabot in #6823
• Bump hyper from 1.6.0 to 1.7.0 (#6814) by @app/dependabot in #6814
• Bump serde_json from 1.0.140 to 1.0.142 (#6812) by @app/dependabot in #6812
• Add s3 vector test retrieving vectors (#6786) by @Jeadie in #6786
• fix: Allow v1/search with only FTS (#6811) by @peasee in #6811
• Bump tantivy from 0.24.1 to 0.24.2 (#6806) by @app/dependabot in #6806
• Bump tokio-util from 0.7.15 to 0.7.16 (#6810) by @app/dependabot in #6810
• fix: Improve FTS index primary key handling (#6809) by @peasee in #6809
• Bump logos from 0.15.0 to 0.15.1 (#6808) by @app/dependabot in #6808
• Bump hf-hub from 0.4.2 to 0.4.3 (#6807) by @app/dependabot in #6807
• Bump odbc-api from 13.0.1 to 13.1.0 (#6803) by @app/dependabot in #6803
• fix: Spice search CLI with FTS supports string or slice unmarshalling (#6805) by @peasee in #6805
• Bump uuid from 1.17.0 to 1.18.0 (#6797) by @app/dependabot in #6797
• Bump reqwest from 0.12.22 to 0.12.23 (#6796) by @app/dependabot in #6796
• Bump anyhow from 1.0.98 to 1.0.99 (#6795) by @app/dependabot in #6795
• Bump clap from 4.5.41 to 4.5.45 (#6794) by @app/dependabot in #6794
• Respect default MAX_DECODING_MESSAGE_SIZE (100MB) in Flight API (#6802) by @sgrebnov in #6802
• Fix compilation errors caused by upgrading async-openai (#6793) by @Advayp in #6793
• Remove outdated vector search benchmark (replaced with testoperator) (#6791) by @sgrebnov in #6791
• Handle errors in vector ingestion pipeline (#6782) by @phillipleblanc in #6782
• fix: Explicitly error when chunking is defined for vector engines (#6787) by @peasee in #6787
• Make VectorScanTableProvider and VectorQueryTableProvider support multi-column primary keys (#6757) by @Jeadie in #6757
• Use megascience/megascience Q+A dataset for text search testing. (#6702) by @Jeadie in #6702
• Flight REPL autocomplete (#6589) by @krinart in #6589
• use ref: github.event.pull_request.head.sha in integration_models.yml (#6780) by @Jeadie in #6780
• fix: Move search telemetry calls in UDTF to scan (#6778) by @peasee in #6778
• Fix Hugging Face models and embeddings loading in Docker (#6777) by @ewgenius in #6777
• feat: Migrate bedrock rate limiter (#6773) by @peasee in #6773
• Run the PR checks on the DEV runners (#6769) by @phillipleblanc in #6769
• feat: add OpenAI models rate controller (#6767) by @peasee in #6767
• Implement MongoDB data connector (#6594) by @krinart in #6594
• fix: Use head ref for concurrency group (#6770) by @peasee in #6770
• fix: Run enforce pulls with spice on pull_request_target (#6768) by @peasee in #6768
• feat: Add OpenAI Embeddings Rate Controller (#6764) by @peasee in #6764
• Move AWS SDK credential bridge integration test to the existing AWS SDK integration test run (#6766) by @phillipleblanc in #6766
• Use Spice specific errors instead of OpenAIError in embedding module (#6748) by @kczimm in #6748
• Use context in Glue Catalog Provider (#6763) by @Advayp in #6763
• pin cargo-deny to previous version (#6762) by @kczimm in #6762
• Bump actions/download-artifact from 4 to 5 (#6720) by @app/dependabot in #6720
• Upgrade dependabot dependencies (#6754) by @phillipleblanc in #6754
• Set E2E Test CI models build to 90 minute timeout (#6756) by @phillipleblanc in #6756
• chore: upgrade to Rust 1.87.0 (#6614) by @kczimm in #6614
• feat: Add initial runtime-rate-limiter crate (#6753) by @peasee in #6753
• feat: Add more embedding traces, add MiniLM MTEB spicepod (#6742) by @peasee in #6742
• Update QA analytics for release (#6740) by @Advayp in #6740
• Always use 'returnData: true' for s3 vector query index (#6741) by @Jeadie in #6741
• feat: Add Embedding and Search anonymous telemetry (#6737) by @peasee in #6737
• Add 1.5.2 to SECURITY.md (#6739) by @ewgenius in #6739
• Combine the Iceberg and Object Store AWS SDK bridges into one crate (#6718) by @Advayp in #6718
• Updates to v1.5.2 release notes (#6736) by @lukekim in #6736
• Update end game template - move glue catalog to catalogs section (#6732) by @ewgenius in #6732
• Update v1.5.2.md (#6735) by @kczimm in #6735
• Add note about S3 Vectors workaround (#6734) by @phillipleblanc in #6734
• feat: Avoid joining for VectorScanTableProvider if the index is sufficient (#6714) by @peasee in #6714
• update changelog (#6729) by @kczimm in #6729
• remove unneeded autogenerated s3 vector code (#6715) by @Jeadie in #6715
• fix: Set S3 vectors default limit to 30, add more tracing (#6712) by @peasee in #6712
• docs: Add Hadoop cookbook to endgame template (#6708) by @peasee in #6708
• Fix testoperator append mode compilation error (#6706) by @phillipleblanc in #6706
• test: Add VectorScanTableProvider snapshot tests (#6701) by @peasee in #6701
• feat: Add Hadoop catalog-mode benchmark (#6684) by @peasee in #6684
• Move shared AWS crates used in bridges to workspace (#6705) by @Advayp in #6705
• Use installation id to group connections (#6703) by @Advayp in #6703
• Add Guardrails for AWS bedrock models (#6692) by @Jeadie in #6692
• Update bedrock keys for CI. (#6693) by @Jeadie in #6693
• Update acknowledgements (#6690) by @app/github-actions in #6690
• ROADMAP updates Aug 1, 2025 (#6667) by @lukekim in #6667
• Add retry logic for OpenAI embeddings creation (#6656) by @sgrebnov in #6656
• Make models E2E chat test more robust (#6657) by @sgrebnov in #6657
• Update Search GH Workflow to use Test Operator (#6650) by @sgrebnov in #6650
• Score and P95 latency calculation for MTEB Quora-based vector search tests in Test Operator (#6640) by @sgrebnov in #6640
• Fix multiple query error being classified as an internal error (#6635) by @Advayp in #6635
• Add Support for S3 Table Buckets (#6573) by krinart in #6573
• set MISTRALRS_METAL_PRECOMPILE=0 for metal (#6652) by @kczimm in #6652
• Vector search to push down udtf limit argument into logical sort plan (#6636) by @mach-kernel in #6636
• docs: Update qa_analytics.csv (#6643) by @peasee in #6643
• Update SECURITY.md (#6642) by @Jeadie in #6642
• docs: Update qa_analytics.csv (#6641) by @peasee in #6641
• Separate token usage (#6619) by @Advayp in #6619
• Fix typo in release notes (#6634) by @Advayp in #6634
• Add environment variable for org token (#6633) by @Advayp in #6633
• CDC: Compute embeddings on ingest (#6612) by @mach-kernel in #6612
• Add view name to view creation errors (#6611) by @lukekim in #6611
• Add core logic for running MTEB Quora-based vector search tests in Test Operator (#6607) by @sgrebnov in #6607
• Revert "Update generate-openapi.yml (#6584)" (#6620) by @Jeadie in #6620
• Non-accelerated views should report as ready only after all dependent datasets are ready (#6617) by @sgrebnov in #6617

The v0.15-alpha release introduces support for streaming databases changes with Change Data Capture (CDC) into accelerated tables via a new Debezium connector, configurable retry logic for data refresh, and the release of a new C# SDK to build with Spice in Dotnet.

Highlights in v0.15-alpha​

• Debezium data connector with Change Data Capture (CDC): Sync accelerated datasets with Debezium data sources over Kafka in real-time.

• Data Refresh Retries: By default, accelerated datasets attempt to retry data refreshes on transient errors. This behavior can be configured using refresh_retry_enabled and refresh_retry_max_attempts.

• C# Client SDK: A new C# Client SDK has been released for developing applications in Dotnet.

Debezium data connector with Change Data Capture (CDC)​

Integrating Debezium CDC is straightforward. Get started with the Debezium CDC Sample, read more about CDC in Spice, and read the Debezium data connector documentation.

Example Spicepod using Debezium CDC:

datasets:
  - from: debezium:cdc.public.customer_addresses
    name: customer_addresses_cdc
    params:
      debezium_transport: kafka
      debezium_message_format: json
      kafka_bootstrap_servers: localhost:19092
    acceleration:
      enabled: true
      engine: duckdb
      mode: file
      refresh_mode: changes

Data Refresh Retries​

Example Spicepod configuration limiting refresh retries to a maximum of 10 attempts:

datasets:
  - from: eth.blocks
    name: blocks
    acceleration:
      refresh_retry_enabled: true
      refresh_retry_max_attempts: 10
      refresh_check_interval: 30s

Breaking Changes​

None.

New Contributors​

• @rupurt made their first contribution in https://github.com/spiceai/spiceai/pull/1791

Contributors​

• @ewgenius
• @phillipleblanc
• @sgrebnov
• @y-f-u
• @rupurt
• @Jeadie
• @peasee

What's Changed​

Dependencies​

No major dependency updates.

Commits​

• Update version to 0.15.0-alpha by @ewgenius in https://github.com/spiceai/spiceai/pull/1784
• Update helm for v0.14.1-alpha by @ewgenius in https://github.com/spiceai/spiceai/pull/1786
• Run PR checks on PRs merging into feature-- branches by @phillipleblanc in https://github.com/spiceai/spiceai/pull/1788
• Enable retries for accelerated table refresh by @sgrebnov in https://github.com/spiceai/spiceai/pull/1762
• enable more tpch benchmark queries as a result of decimal unparsing by @y-f-u in https://github.com/spiceai/spiceai/pull/1790
• add nix flake by @rupurt in https://github.com/spiceai/spiceai/pull/1791
• Support local and HF embedding models by @Jeadie in https://github.com/spiceai/spiceai/pull/1789
• fix(bin/spice): Implement custom Unmarshaller for DatasetOrReference by @peasee in https://github.com/spiceai/spiceai/pull/1787
• For windows, move symlink -> symlink_file. by @Jeadie in https://github.com/spiceai/spiceai/pull/1793
• docs: Add PULL_REQUEST_TEMPLATE.md by @peasee in https://github.com/spiceai/spiceai/pull/1794
• Fix Unsupported DataType: conversion for time predicates by @sgrebnov in https://github.com/spiceai/spiceai/pull/1795
• Use incremental backoff for initial dataset registration retries by @sgrebnov in https://github.com/spiceai/spiceai/pull/1805
• Basic HTTP/S connector by @Jeadie in https://github.com/spiceai/spiceai/pull/1792
• Scale support for Snowflake fixed-point numbers by @sgrebnov in https://github.com/spiceai/spiceai/pull/1804
• bump datafusion federation to resolve the join query failures by @y-f-u in https://github.com/spiceai/spiceai/pull/1806
• fix: Stream PostgreSQL data in by @peasee in https://github.com/spiceai/spiceai/pull/1798
• Remove clippy::module_name_repetitions lint by @phillipleblanc in https://github.com/spiceai/spiceai/pull/1812
• Improve Snowflake fixed-point numbers casting by @sgrebnov in https://github.com/spiceai/spiceai/pull/1809
• Case insensitive secret getter by @ewgenius in https://github.com/spiceai/spiceai/pull/1813
• refactor: Format TOML with Taplo by @peasee in https://github.com/spiceai/spiceai/pull/1808
• feat: Update PR template, add label enforcement in PR by @peasee in https://github.com/spiceai/spiceai/pull/1815
• fix bug that append may miss updates when the incremental changes are not able to be contained in one record batch by @y-f-u in https://github.com/spiceai/spiceai/pull/1817
• add integration test for inner join across federated table and accelerated table by @y-f-u in https://github.com/spiceai/spiceai/pull/1811
• Unify spicepod.llms into spicepod.models and refactor UX of spicepod.models by @Jeadie in https://github.com/spiceai/spiceai/pull/1818
• Fix issue with querying accelerated tables where the dataset name has a schema by @phillipleblanc in https://github.com/spiceai/spiceai/pull/1823
• Fix schema support for refresh_sql and improve e2e tests by @sgrebnov in https://github.com/spiceai/spiceai/pull/1826
• feat: Add GraphQL unnesting by @peasee in https://github.com/spiceai/spiceai/pull/1822
• fix: Allow kind/optimization labels, increase Postgres test timeout by @peasee in https://github.com/spiceai/spiceai/pull/1830
• Implement Real-time acceleration updates via Debezium CDC by @phillipleblanc in https://github.com/spiceai/spiceai/pull/1832
• Remove println statement from PG Connector by @sgrebnov in https://github.com/spiceai/spiceai/pull/1835
• Don't try to "hot reload" Debezium accelerated datasets by @phillipleblanc in https://github.com/spiceai/spiceai/pull/1837
• Create v1/search that performs vector search. by @Jeadie in https://github.com/spiceai/spiceai/pull/1836
• Align spicepod UX of embeddings with models by @Jeadie in https://github.com/spiceai/spiceai/pull/1829
• Add "cmake-build" feature to rdkafka for windows by @Jeadie in https://github.com/spiceai/spiceai/pull/1840
• Add a better error message when trying to configure refresh_mode=changes on a data connector that doesn't support it. by @phillipleblanc in https://github.com/spiceai/spiceai/pull/1839

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.14.1-alpha...v0.15.0-alpha

Resources​

• Getting started with Spice.ai
• Documentation

Community​

Spice.ai started with the vision to make AI easy for developers. We are building Spice.ai in the open and with the community. Reach out on Slack or by email to get involved.

• Twitter: @spice_ai
• Slack: spiceai.org/slack
• Telegram: Spice AI Discussion
• Reddit: https://www.reddit.com/r/spiceai
• Email: [email protected]