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fix: synchronize global parameter registration and lookup - #2806
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Rana Singh (ranadeepsingh) merged 3 commits intoNov 9, 2026
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## Summary Protect global parameter registration, value updates, lookup and reset with one shared monitor. Add bounded child-JVM regressions for concurrent stage use, including the existing present-null and reset semantics. ## Prompting Intent Keep the AIPrompt feature focused and publish independently demonstrated pre-existing defects as separate fixes. Reproduce the concurrency failure on baseline without allowing a corrupted map to hang the test runner. ## Linked Sources - Bug: microsoft#2804 - Scope: microsoft#2759 - Deferred recovery: microsoft#2800 ## Rationale A shared monitor makes the two-map lookup consistent and preserves existing signatures and Scala Map null/Option behavior. Replacing only one map or using a null-rejecting concurrent collection would not preserve that contract. Baseline concurrency probes failed; the fixed probes and existing global parameter tests passed. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Rana Singh (ranadeepsingh)
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🟢 Approval recommended
No active review issues remain for the shared-registry synchronization change.
No open issues 🎉
What changed in this PR
This PR addresses concurrent access to SynapseML’s shared GlobalParams registry, preventing map corruption and stalled lookups while preserving existing API behavior.
Changes:
- Synchronizes registration, lookup, assignment, and reset using one shared monitor.
- Adds isolated child-JVM concurrency regressions with bounded termination and a sequential test for present-null values.
| File | Description |
|---|---|
core/src/test/scala/com/microsoft/azure/synapse/ml/param/VerifyGlobalParams.scala |
Adds concurrent registration and value-operation probes, plus present-null compatibility coverage. |
core/src/main/scala/com/microsoft/azure/synapse/ml/param/GlobalParams.scala |
Synchronizes all registry operations without changing public signatures or lookup semantics. |
Review effort: Balanced
This was referenced Nov 5, 2026
## Summary Keep concurrent registry regression probes outside the shared test JVM so a broken mutable map cannot hang later suites. Bound child termination, finish cleanup before restoring interruption, and retain the review findings and resolution evidence. ## Prompting Intent Complete the validation and review gaps in the AIPrompt prerequisite PR stack before reporting a merge order. Preserve existing behavior and do not merge. ## Linked Sources - microsoft#2806 - reviews/pr-2806/ ## Rationale Child JVM isolation contains corrupt-map loops and permanent registrations. A Java 8-compatible manifest classpath avoids command-line limits. Explicit timeout and interruption tests verify termination as well as result reporting. Current source passed core compile, Test compile, VerifyGlobalParams (14/14, zero skips), and both scalastyle gates on master and the native port snapshots. The complete six-stage precommit review passed with all three reviewers. Current-head Azure CI and a fresh CI-qualified review remain separate gates. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
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## Summary Remove three trailing-whitespace lines from preserved PR review artifacts. No production code, tests, build inputs, or review conclusions change. ## Prompting Intent Make the necessary minor fixes to the reviewed SynapseML PRs, address review feedback, and verify full CI against each final head without merging. ## Linked Sources - PR: microsoft#2806 - Issue: microsoft#2804 - Repository artifact policy: AGENTS.md, Pull requests and CI ## Rationale Keep the numbered review artifacts and their provenance as required by the repository guide while making the complete PR diff whitespace-clean. The existing production and regression-test changes are intentionally untouched. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 0e8fdfb7-dcdd-4074-aabb-8634695107f2
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CI triage for head The changed-path suites have complete named results: Requested a retry of only those failed jobs on the same build and exact source/target. No certificate bypass, weaker test, product change, or pipeline change was introduced. Full CI remains pending until the retry publishes the missing test results and coverage successfully. |
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Engineering readiness verified for The minor follow-up removed trailing whitespace only. Required numbered review artifacts and their provenance were preserved; production and test code are unchanged from the independently evaluated revision.
Only the required human approval remains. This is evidence-based engineering readiness, not a claim of absolute regression freedom; the PR has not been merged. |
Rana Singh (ranadeepsingh)
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November 9, 2026 00:09
Bora Elkin (BoraElkin)
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Nov 9, 2026
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AB#5837660 ## Summary Add a combined persistence regression after integrating the latest master fixes. Verify that an explicitly assigned Spark session is used without promoting default scalar parameters into explicit values. Preserve the historical review archive through rebased links and include the focused integration review. ## Prompting Intent The engineer approved resolving the newly introduced merge conflicts without losing either CU behavior or upstream fixes, validating and reviewing the result, publishing with an explicit force-with-lease, and rerunning CI. ## Linked Sources - Feature PR: microsoft#2815 - Python method extraction: microsoft#2810 - Assigned Spark sessions: microsoft#2809 - Response cleanup: microsoft#2808 - Attachment cancellation: microsoft#2807 - Global parameter synchronization: microsoft#2806 - Integration target: 6c2699d - Focused review: reviews/pr-2815/task-5837660-attempt-10-review-0-harness.md ## Rationale Keep both sides of the code-generation and persistence conflicts rather than choosing one wholesale. A combined public save/load test checks the interaction that independent upstream and CU tests do not explicitly cover. Rebase preserves the six original changes and their messages; all 53 archived report blobs and modes are unchanged. Local validation passed 310 Scala and 73 Python tests, with one existing ignored global-fuzzing test, plus style, compilation, codegen and pinned formatting. New-head CI remains a separate post-publication gate. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 653e4257-0554-408f-9e0e-b23750249edb
Rana Singh (ranadeepsingh)
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Nov 10, 2026
Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: microsoft#2759 - Deferred recovery: microsoft#2800 - Deferred live Decisions qualification: microsoft#2760 - Global parameter prerequisite: microsoft#2806 - Attachment cancellation prerequisite: microsoft#2807 - Response cleanup prerequisite: microsoft#2808 - Assigned-session prerequisite: microsoft#2809 - Python stub prerequisite: microsoft#2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Rana Singh (ranadeepsingh)
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Nov 10, 2026
Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: microsoft#2759 - Deferred recovery: microsoft#2800 - Deferred live Decisions qualification: microsoft#2760 - Global parameter prerequisite: microsoft#2806 - Attachment cancellation prerequisite: microsoft#2807 - Response cleanup prerequisite: microsoft#2808 - Assigned-session prerequisite: microsoft#2809 - Python stub prerequisite: microsoft#2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Rana Singh (ranadeepsingh)
added a commit
to ranadeepsingh/SynapseML
that referenced
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Nov 10, 2026
Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: microsoft#2759 - Deferred recovery: microsoft#2800 - Deferred live Decisions qualification: microsoft#2760 - Global parameter prerequisite: microsoft#2806 - Attachment cancellation prerequisite: microsoft#2807 - Response cleanup prerequisite: microsoft#2808 - Assigned-session prerequisite: microsoft#2809 - Python stub prerequisite: microsoft#2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Rana Singh (ranadeepsingh)
added a commit
to ranadeepsingh/SynapseML
that referenced
this pull request
Nov 10, 2026
Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: microsoft#2759 - Deferred recovery: microsoft#2800 - Deferred live Decisions qualification: microsoft#2760 - Global parameter prerequisite: microsoft#2806 - Attachment cancellation prerequisite: microsoft#2807 - Response cleanup prerequisite: microsoft#2808 - Assigned-session prerequisite: microsoft#2809 - Python stub prerequisite: microsoft#2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Rana Singh (ranadeepsingh)
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that referenced
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Nov 12, 2026
* feat: add unified AI prompting and native decision model support Add AIPrompt on the existing OpenAIPrompt interface for explicit chat, Responses, embeddings and native decision-model APIs. Preserve request options, typed results, errors and raw responses through Scala and generated Python, copy, persistence and pipelines. Add the AIPrompt notebook and guide. Keep the contribution focused on AIPrompt and small native specializations. Separate independent legacy defects and optional Delta recovery into their own issues and PRs. Exercise supported notebook examples on packaged artifacts, but leave OpenAIDecisions examples commented because Azure OpenAI/Foundry does not support that API. - Native inference proposal: #2759 - Deferred recovery: #2800 - Deferred live Decisions qualification: #2760 - Global parameter prerequisite: #2806 - Attachment cancellation prerequisite: #2807 - Response cleanup prerequisite: #2808 - Assigned-session prerequisite: #2809 - Python stub prerequisite: #2810 - Existing tutorial: docs/Explore Algorithms/OpenAI/OpenAI.ipynb Reuse existing authentication and HTTP infrastructure rather than add a second inference transport. Keep public behavior in Scala and generate Python conveniences without changing legacy public JVM signatures or serialized parameter shapes. Explicit API selection and lossless JSON avoid silent option loss; bounded cancellation handles interrupted Spark work. Keep ordinary inference lazy and replayable, without Delta, an automatic tool loop, response-size configuration or an exactly-once claim. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * style: format AIPrompt Python regression tests Summary - Apply the pinned Black formatter to the AIPrompt regression suite and its Fabric validation helper. Prompting Intent - Keep the focused AIPrompt pull request limited to required feature work and repairs to its own validation gates. Linked Sources - #2811 - https://github.com/microsoft/SynapseML/actions/runs/42014432464 Rationale - The Python style gate identified formatting in two new test files. - The changes preserve both files' Python ASTs, and the repository's tracked Python files pass Black 22.3.0. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: align AIPrompt coverage count and notebook formatting ## Summary Account for the additional AI test lane in Codecov's expected upload count and apply the pinned notebook formatter to the new AIPrompt tutorial. ## Prompting Intent Repair the deterministic checks introduced by the focused AIPrompt change without changing dependency pins, workflows, release tooling or unrelated notebooks, and preserve the already-executed tutorial behavior. ## Linked Sources - #2759 - #2811 ## Rationale The authorized AI matrix lane raises expected uploads from 54 to 55. Keep the existing coverage-count assertion unchanged and fix its configuration. Black 22.3.0 with Jupyter support changes formatting only: all 18 code-cell ASTs, metadata and markdown remain identical, outputs stay cleared and OpenAIDecisions remains commented. The full CI Black command and the targeted coverage-upload selection test pass locally. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: harden AIPrompt cancellation and compatibility boundaries Integrate reviewed session-persistence, codegen and attachment fixes; retain task kill reasons, transport cancellation, value-codec regressions and the 32 supported notebook examples. Freeze scope, finish running reviews, address blockers, publish and run current-head CI instead of starting additional full review matrices. - #2811 - #2818 - #2819 - #2820 Ensure the integrated public AIPrompt path preserves the same cancellation, persistence and generated-wrapper contracts as the prerequisite fixes. Keep unsupported Decisions examples commented out and existing limitations visible. Do not expand scope to unrelated codegen or connector behavior. Source-scoped qualification covers 511 cognitive and 189 core cases with zero skips, six notebook cases and 33 installed Python cases. Compile, style, codegen, packaging and exact installed artifact provenance are retained. The latest test-only changes passed targeted regressions without altering the qualified runtime artifacts. Existing reviews and dispositions are retained; no additional full matrix is claimed. Fresh CI is still required. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * docs: explain AIPrompt API contracts with a diagram ## Summary Add a shared API-routing diagram to the AIPrompt getting-started notebook and usage guide. Clarify supported parameter mappings, intentional legacy differences, native results and provider availability without changing code. ## Prompting Intent Explain whether AIPrompt supports all five API types and preserves the semantics and parameters of OpenAIPrompt and the native decision stages. Generate an understandable diagram and include it in the PR description and the getting-started notebook. ## Linked Sources - #2811 - #2759 - #2760 - docs/Explore Algorithms/OpenAI/Unified AI prompting.md - cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/ai/AIRequestAdapter.scala - cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/ai/AIPrompt.scala - https://github.com/user-attachments/assets/bfcb52f9-b019-455b-9e23-598a44fae229 ## Rationale Use one GitHub-hosted diagram in the PR, notebook and guide, following the tutorials' hosted-image convention. Combine a generated background with deterministic labels and connectors for precise technical content. Keep the existing runnable examples unchanged and explicitly distinguish Foundry SystemOne from the unsupported Azure OpenAI/Foundry Decisions path. Describe per-API support instead of claiming universal legacy parity. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: route AIPrompt API versions without a version allowlist Summary: - Select the v1 Chat Completions and Responses route with apiVersion. - Forward other version strings in api-version, including for Decisions. - Default OpenAIDecisions to v1 while preserving complete URL overrides. - Cover scalar, per-row and persisted versions and document migration. Prompting Intent: Let callers use v1, preview, dated and future API versions through the existing parameter without library-maintained version restrictions. Linked Sources: - User request to select the v1 URI and forward all other version strings. - #2759 - #2811 Rationale: API version selection belongs to the provider. Reuse the existing ServiceParam and preserve public signatures, legacy stages and URL override behavior instead of introducing a separate routing parameter. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: default AIPrompt chat and responses to v1 Summary: - Default Chat Completions and Responses requests to the v1 route. - Preserve explicit and configured version overrides and embedding defaults. - Cover default routing through copy, save/load and clearing an override. - Update the usage guide and notebook migration notes. Prompting Intent: Keep v1 as the default API version for Chat Completions and Responses, alongside the existing OpenAIDecisions v1 default. Linked Sources: - User request: keep v1 as the default for Chat Completions and Responses. - #2811 - #2759 Rationale: Use the v1 route without requiring a redundant setter. Change only the generative fallback so configured scalar and per-row versions, complete URL overrides, embeddings and legacy OpenAI stages retain their behavior. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 * fix: support Foundry Decisions inference Foundry exposes Decisions for supported gpt-6-luna deployments, but the new stages rejected Azure hosts before HTTP and selected bearer-key authentication for every Decisions endpoint. Route Azure resource roots through /openai/v1/decisions, retain api-key authentication for Azure keys, and preserve Entra, proxy, version and complete-URL behavior. Replace obsolete rejection tests with routing and authentication regressions. Add opt-in Chat and Responses live tests, enable the notebook's Foundry Decisions examples, and correct the guide and shared diagram. User intent: correct Foundry support and live-test all four inference APIs. Sources: #2759, #2760, https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/decisions Validation: 215 Scala cases, 33 installed-package Python cases, six notebook tests and four real service tests passed with zero skips. The live tests exercised Chat, Responses, Decisions and SystemOne using six valid stage invocations on existing Sweden Central deployments. Compilation, Scala style, Python formatting, codegen and packaging passed. Loaded JARs and generated Python sources matched the validated build. No new deployments or dependency changes; no full notebook rerun or current-head remote CI pass is claimed. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5ba39157-c8dd-4adb-90e0-ff963a1e6733
Bora Elkin (BoraElkin)
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AB#5837660 ## Summary Add a combined persistence regression after integrating the latest master fixes. Verify that an explicitly assigned Spark session is used without promoting default scalar parameters into explicit values. Preserve the historical review archive through rebased links and include the focused integration review. ## Prompting Intent The engineer approved resolving the newly introduced merge conflicts without losing either CU behavior or upstream fixes, validating and reviewing the result, publishing with an explicit force-with-lease, and rerunning CI. ## Linked Sources - Feature PR: microsoft#2815 - Python method extraction: microsoft#2810 - Assigned Spark sessions: microsoft#2809 - Response cleanup: microsoft#2808 - Attachment cancellation: microsoft#2807 - Global parameter synchronization: microsoft#2806 - Integration target: 6c2699d - Focused review: reviews/pr-2815/task-5837660-attempt-10-review-0-harness.md ## Rationale Keep both sides of the code-generation and persistence conflicts rather than choosing one wholesale. A combined public save/load test checks the interaction that independent upstream and CU tests do not explicitly cover. Rebase preserves the six original changes and their messages; all 53 archived report blobs and modes are unchanged. Local validation passed 310 Scala and 73 Python tests, with one existing ignored global-fuzzing test, plus style, compilation, codegen and pinned formatting. New-head CI remains a separate post-publication gate. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 653e4257-0554-408f-9e0e-b23750249edb
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Concurrent stage construction and default lookup can corrupt the shared GlobalParams maps or leave a request spinning indefinitely. This serializes the small registry operations so registration, lookup, assignment and reset use a consistent view.
Related Issues/PRs
Fixes #2804.
Extracted from the scope refinement for #2759. This fix is independent of the native feature and optional recovery work.
What changes are proposed in this pull request?
Use one shared monitor for both maps, preserving existing signatures, precedence and present-null behavior. Add coordinated child-JVM concurrency regressions with bounded termination, plus sequential compatibility controls. No AIPrompt or Delta code is included.
How is this patch tested?
The files published in
1e8a5098b8a845945b91ad4eaf71659e5469cef1match the validated source blobs.sbt "set core / Test / fork := false" core/compile core/Test/compile "core/testOnly com.microsoft.azure.synapse.ml.param.VerifyGlobalParams" core/scalastyle core/Test/scalastyle- passed in this standalone PR worktree: 14/14 tests, zero skips, both compiles, and both style gates. The same targeted gates also passed on the integrated master and both native port validation snapshots, using each branch's selected JDK.Coverage includes concurrent registration and value operations over 64,000 entries per child JVM, present-null behavior, invalid probe arguments, bounded timeout cleanup, and interruption restoration. Earlier baseline probes exposed mutable-map corruption; targeted cleanup mutations also failed as expected.
All six precommit review stages completed with three independent reviewers per stage. Findings and resolutions are preserved under
reviews/pr-2806/. Current-head Azure CI and the subsequent CI-qualified review are still pending; these local results are not a merge-ready claim.Does this PR change any dependencies?
Does this PR add a new feature? If so, have you added samples on website?
website/docs/documentationfolder.Make sure you choose the correct class
estimators/transformersand namespace.DocTablepoints to correct API link.npm startto make sure the website renders correctly.<!--pytest-codeblocks:cont-->before each python code blocks to enable auto-tests for python samples.WebsiteSamplesTestsjob pass in the pipeline.