Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Bug Fixes

• Fixed an issue where incremental maintenance, an opt-in preview feature, could return incorrect results or fail with DeltaProcessingError or FDError.

• Fixed a bug where predictive reasoner tasks ignored the ICLConfig.random_state seed.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Bug Fixes

• With incremental maintenance enabled, the logic reasoner no longer recomputes a query from scratch when you redefine a rule it depends on without changing the source data. Incremental maintenance is a preview feature.

• If a model is deleted while a transaction is running against it, that transaction now fails with a clear reason (such as "database not found") instead of a generic internal error.

• Running many queries at the same time no longer crashes the logic reasoner while it compiles them.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Write-write conflicts between transactions on the same model now return a clear, actionable error instead of a confusing system error. The message reads The model is currently locked by active write transaction(s) and includes the RAI CLI command to cancel the blocking transaction.

Bug Fixes

• Incremental maintenance no longer fails with a DeltaProcessingError or reads back the wrong string value for a relationship with a functional dependency whose values come from more than one rule and include long strings.

• Prescriptive problems that repeat a decision variable or coefficient are now rejected with an InvalidModel error instead of silently solving a different problem than the one you defined. Re-run any such problems solved before this version to confirm their results.

• In a prescriptive problem, a count over something other than conditions the solver decides, such as decision variables directly, now fails with a clear InvalidModel error instead of an opaque OTHER_ERROR.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• When an export to a Snowflake-managed Iceberg table fails because a column's type doesn't match the destination column, the error now names the destination column's type instead of showing a generic message. This tells you which type to match so you can fix the export.

• Functional dependency violation errors now name the relationship involved, even when the violation is found during parallel execution on the Logic Reasoner. Previously, these errors could appear with no relationship named, leaving no way to trace the violation to its source.

Bug Fixes

• Exporting query results to a Snowflake-managed Iceberg table no longer fails when a result column has an integer type.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Loading data into the Logic Reasoner is now faster. Internal benchmarks show first-time load times cut roughly in half, with the largest loads improving the most.

• Solvers now give a clearer error when one of their backend-specific parameters has the wrong type, naming the parameter and the type they expect.

Bug Fixes

• Queries over data that contains empty strings now return results instead of stopping the whole transaction with an internal error.

• Upgrading the app no longer fails on Snowflake accounts whose default table type is set to Iceberg.

• Updated the app's bundled third-party components to versions that resolve known security vulnerabilities.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Bug Fixes

• Loading a Snowflake-managed Iceberg table now stops with a clear error when a column's data type doesn't match the table's declared data type, instead of silently returning incomplete results. Update the column's declared data type to match the source.

• Fixed an issue that could prevent changes to a Snowflake-managed Iceberg table from being picked up, so your queries could keep returning data from an earlier version of the table.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Breaking Changes

• Creating a data stream on a Snowflake-managed Iceberg table now fails immediately with the error Iceberg tables are not supported for CDC data streams. Previously, the stream was created but Snowflake quarantined it, so changes were never processed. See Prepare your data sources for the source objects that data streams support.

New Features and Enhancements

• The new api.cleanup_stale_data_streams() procedure lets you delete data streams that haven't been accessed for longer than a time-to-live (TTL) you specify. It takes a TTL in minutes and runs in dry-run mode by default, reporting the data streams it would delete without removing anything. Pass DRY_RUN => FALSE to delete them.

• The api.data_streams view now includes a last_accessed column that shows when each data stream was last accessed by a transaction. The value is NULL for a data stream that has never been accessed.

Bug Fixes

• Fixed a rare issue where two internal computations could overwrite each other and affect a query's results.

• Writing to a Snowflake-managed Iceberg table no longer fails with an Invalid parquet file: non-nullable column ... has null values according to file statistics error.

• The app now reconnects to Snowflake on its own when its internal access token expires, so operations like reasoner creation no longer get stuck and fail.

• Fixed an issue that prevented custom aggregations over decimal values, such as FixedDecimal, from returning results.

• Prediction jobs submitted by PyRel to a predictive reasoner no longer fail with an index out of range in self error when your data contains a category that wasn't seen during training.

• A query that runs while a model's internal data store is being deleted now reports the accurate error The database does not exist. instead of the misleading Database was closed and this transaction was discarded. Note that "database" here refers to an internal database used by the native app and not a Snowflake database visible in your Snowflake account.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Bug Fixes

• Fixed an issue where expired OAuth tokens could cause reasoner operations to fail permanently instead of retrying. Snowflake recently began reporting one class of expired token with a different error code that was previously unrecognized, leaving affected operations stuck. Both error codes are now handled, and operations retry and recover automatically.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Deploying and refreshing a model is now faster. Each deploy and refresh reloads the tables your model produces, and that step now runs as a few batched operations instead of repeating the same work once per table. The improvement grows with the number of tables a model produces, so larger models benefit most while small models see little change.

Bug Fixes

• Fixed some errors that could occur with incremental maintenance turned on, a preview feature (off by default) that reuses earlier work when you rerun a query after your data changes. In particular, certain aggregations could cause queries to fail with an internal error. They now work as expected.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Prescriptive reasoners now support Snowflake connections that authenticate with a programmatic access token (PAT).

Bug Fixes

• Fixed an issue that caused data streams to be quarantined during brief pauses in the CDC service.

• Fixed an issue that could stop a data stream from syncing when the app's routine cleanup removed part of the internal data store that the CDC service uses to load your data.

• Prevented the app from leaving Snowflake compute resources running indefinitely when an internal engine fails to start.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Bug Fixes

• Exporting query results no longer fails when one of the exported columns has the same value in every row. Previously, these exports failed the entire transaction with an internal error.

• A query that reads from a Snowflake source through a data stream no longer fails if that stream is being deleted and rebuilt while the query runs. Data streams keep your PyRel models in sync with their Snowflake sources, and PyRel sometimes rebuilds one to refresh it. Previously, a query caught in that window failed with a The provided data streams do not exist (RAIERR:1000) error, even though the stream was being replaced, not removed. Now the query finishes once PyRel rebuilds the stream.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Queries that process large amounts of text now run faster on the Logic Reasoner.

• You can now clear all the data loaded from a Snowflake source table by emptying that table. The data is removed on the next sync. Previously, empty tables were skipped during syncing, so the original data stayed in the app.

• Timed-out data stream exports: You can now recover a data stream export task that keeps timing out by increasing its warehouse size or timeout. Each data stream uses a Snowflake serverless task to export its processed changes, and a large or costly export can exceed the default limits. Adjust them with two new SQL procedures, intended for exceptional cases and usually done with RelationalAI support:

  • api.alter_export_task_wh_size()
  • api.alter_export_task_timeout()

Bug Fixes

• Certain queries no longer fail while returning their results, most notably some prescriptive reasoning workloads. Previously, a recent change to the query engine could cause these queries to crash with an internal error.

• You can now generate predictions immediately after training a Predictive Reasoning model. Previously, this could crash when an earlier training run had left data behind.

• Deleting a model no longer interrupts queries that are still running against it. Previously, deleting a model while it was still in use could fail those in-progress queries with a Database was closed and this transaction was discarded error.

• A logic reasoner assigned from warm capacity now works reliably as soon as it starts. Previously, such a reasoner could reject its first transactions with connection errors, or briefly appear under a different name than the one you requested.

• App upgrades are now more reliable on accounts where services are slow to restart: the app now waits up to 20 minutes for them to come back online, up from 10.

• Upgrade permissions on older installations: Every upgrade now automatically restores a permission that older apps need to run queries, so upgrading no longer risks leaving an app unable to respond. Previously, an app installed before that permission existed could lose it during an upgrade and stay unavailable until it was restored manually.

Security

• Resolved a remote code execution vulnerability (CVE-2026-4372) in predictive reasoners. We patched it by upgrading the bundled Hugging Face transformers library to version 5.12.1. Upgrading the app applies the fix, so there is no action required on your part.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Bug Fixes

• Fixed a bug that occurred when two PyRel programs interacted with the same model at the same time. Previously, data synchronization could stall for an extended period of time before failing with a cryptic error. Now when this happens, data synchronization fails fast with a clear "model is busy" error.

• Fixed a bug where engines recreated after a service restart could remain in the PENDING state indefinitely. Provisioning now stops when it reaches the timeout limit. When that happens, the attempt fails with a timeout error instead of hanging forever.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• App activation now checks for Snowflake account-level settings that prevent the application from functioning correctly. If an incompatible setting is detected — for example, PREVENT_UNLOAD_TO_INTERNAL_STAGES = TRUE, which blocks the app from writing to its own internal stage — relationalai.app.activate() blocks activation and explains how to resolve the conflict. For recovery steps, see Fix app activation errors caused by Snowflake account settings. You can run the following to skip these checks and proceed anyway:

  CALL relationalai.app.activate(ERROR_ON_UNSUPPORTED_ACCOUNT_FLAG => FALSE);
  

• The application now cleans up unused references in the application's internal records of which Snowflake tables and views are configured as data stream sources. When a data stream is removed or reconfigured, its records can be left behind as orphans, causing them to accumulate over time and eventually prevent new data streams from being configured. New procedures are also available to inspect and remove these unused references manually:

  • app.reference_audit()
  • app.cleanup_unused_data_stream_references()

Bug Fixes

• Fixed an issue where reasoner setup could report a failure even though the reasoner was successfully provisioned due to errors in cleanup steps that occur after provisioning completes. These cleanup errors are now logged and ignored, so setup completes as expected.

Deprecations and Removals

• Removed the previously deprecated app.finalize_upgrade() procedure. Upgrade finalization is now handled automatically, so there is no replacement. If you call app.finalize_upgrade() in custom automation, remove those calls to avoid errors.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Reduced latency for progress events during query execution, so PyRel users see more responsive progress indicators in interactive environments.

Bug Fixes

• Fixed an issue that caused CDC service suspensions during transient failures, helping prevent unexpected interruptions to stream syncing.

• Fixed an unhandled error that occurred when attempting to delete a non-existent engine.

• Fixed error propagation in reasoner management APIs so that meaningful diagnostic details are returned when an operation fails, rather than an empty error response.

Security

• Upgraded jupyter-server to version 2.20.0 to address a cross-site scripting (XSS) vulnerability in predictive reasoners' notebook server conversion handlers.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Performance and Stability Improvements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Added a transaction_attributes column to api.transactions so you can filter transactions by query attributes such as environment tags.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New features and enhancements

• Added new views in the observability_preview schema that expose metrics for monitoring predictive and prescriptive reasoners.

  New predictive reasoner views:

  • PREDICTIVE_REASONER__CPU_UTILIZATION
  • PREDICTIVE_REASONER__MEMORY_UTILIZATION
  • PREDICTIVE_REASONER__GPU_UTILIZATION
  • PREDICTIVE_REASONER__GPU_MEMORY_UTILIZATION
  • PREDICTIVE_REASONER__ACTIVE_JOBS

  New prescriptive reasoner views:

  • PRESCRIPTIVE_REASONER__CPU_UTILIZATION
  • PRESCRIPTIVE_REASONER__MEMORY_UTILIZATION
  • PRESCRIPTIVE_REASONER__ACTIVE_JOBS

  See the observability_preview SQL API reference for columns, example queries, and related views.

• Improved error messages for failures when using Iceberg tables as data sources.

Bug fixes

• Concurrent exports to Iceberg tables now produce a conflict error instead of silently writing duplicate data.

• Fixed an issue that caused missing predictive reasoner logs.

• Fixed a bug where predictive reasoners would not be automatically suspended after a service restart.

• Fixed an issue where predictive reasoner startup could fail if a warehouse grant step failed.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Performance and Stability Improvements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor performance and stability improvements.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Bug Fixes

• Fixed an issue impacting SPCS deployment.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

Deprecations and Removals

• Creating data streams outside the standard app-managed workflow is no longer supported. The APIs removed by this change were not publicly documented or intended for customer use, so this change should not impact any existing user workflows. See Manage data sources for more information on data streams and app-managed data workflows.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Added app.set_warm_reasoners() so app admins can configure multiple warm reasoners for the same reasoner type and size.

• Added new SQL APIs for managing jobs, including:

  • api.get_job()
  • api.cancel_job()
  • api.jobs
  • api.get_job_metadata()
  • api.get_job_events()

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Added a WARM_PROVISION column to the api.engines view and to the table returned by api.get_engine() procedure, which indicates whether or not an engine was provisioned off a warm engine.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Introduced a new stored procedure api.show_warm_engines() which shows information about all currently existing warm engines.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Minor improvements to performance and stability.

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

New Features and Enhancements

• Added new endpoints, enable_warm_engine and disable_warm_engine, which replace set_warm_engines. These endpoints let you pre-provision a logic engine, so a "warm" engine is ready to use immediately when you create or resume an engine. This reduces provisioning time to just a few seconds. Keeping a warm engine running increases costs, as one engine of the chosen size stays active in the background.