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Update performance benchmark baseline - #1418

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Update performance benchmark baseline#1418
github-actions[bot] wants to merge 2 commits into
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update-benchmark-baseline-20260804

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@github-actions github-actions Bot commented Aug 4, 2026

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Summary

  • Updated tests/perf/.benchmarks/baseline.json with latest nightly benchmark results
  • Regenerated docs/dqx/docs/reference/benchmarks.mdx report

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This pull request was created automatically by the nightly performance workflow.

@github-actions
github-actions Bot requested a review from a team as a code owner August 4, 2026 06:59
@github-actions
github-actions Bot requested review from tombonfert and removed request for a team August 4, 2026 06:59
@mwojtyczka
mwojtyczka force-pushed the update-benchmark-baseline-20260804 branch from 25b312b to a0938e1 Compare August 4, 2026 07:11
@mwojtyczka mwojtyczka added the Approved to Merge When PR is reviewed and approved. To be merged once all tests pass label Aug 4, 2026

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LGTM

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 92.54%. Comparing base (eaed554) to head (a0938e1).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1418      +/-   ##
==========================================
- Coverage   93.00%   92.54%   -0.46%     
==========================================
  Files         103      103              
  Lines       10872    10872              
==========================================
- Hits        10111    10062      -49     
- Misses        761      810      +49     
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anomaly-serverless 53.14% <ø> (ø)
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unit 59.97% <ø> (ø)

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❌ 885/886 passed, 1 failed, 38 skipped, 7h37m20s total

❌ test_streaming_observer_metrics_output_and_quarantine_with_empty_checks[apply_checks_by_metadata_and_save_in_table]: pyspark.errors.exceptions.connect.AnalysisException: [TABLE_OR_VIEW_NOT_FOUND] The table or view `dqx`.`dummy_si8cxt6ia`.`tztnubb` cannot be found. Verify the spelling and correctness of the schema and catalog. (48.48s)
pyspark.errors.exceptions.connect.AnalysisException: [TABLE_OR_VIEW_NOT_FOUND] The table or view `dqx`.`dummy_si8cxt6ia`.`tztnubb` cannot be found. Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF EXISTS. SQLSTATE: 42P01;
'UnresolvedRelation [dqx, dummy_si8cxt6ia, tztnubb], [], false


JVM stacktrace:
org.apache.spark.sql.catalyst.ExtendedAnalysisException
	at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.tableNotFound(package.scala:94)
	at org.apache.spark.sql.catalyst.analysis.RelationResolution$.throwTableNotFound(RelationResolution.scala:1027)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$2(CheckAnalysis.scala:355)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$2$adapted(CheckAnalysis.scala:324)
	at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:364)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis0(CheckAnalysis.scala:324)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis0$(CheckAnalysis.scala:295)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis0(Analyzer.scala:557)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$1(CheckAnalysis.scala:280)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
	at com.databricks.spark.util.FrameProfiler$.$anonfun$record$1(FrameProfiler.scala:114)
	at com.databricks.spark.util.FrameProfilerExporter$.maybeExportFrameProfiler(FrameProfilerExporter.scala:198)
	at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:105)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis(CheckAnalysis.scala:267)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis$(CheckAnalysis.scala:263)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:557)
	at org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.$anonfun$resolveInFixedPoint$1(HybridAnalyzer.scala:420)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:265)
	at org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.resolveInFixedPoint(HybridAnalyzer.scala:420)
	at org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.$anonfun$apply$1(HybridAnalyzer.scala:99)
	at org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.withTrackedAnalyzerBridgeState(HybridAnalyzer.scala:136)
	at org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.apply(HybridAnalyzer.scala:92)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$2(Analyzer.scala:617)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:425)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:617)
	at com.databricks.sql.unity.SAMSnapshotHelper$.visitPlansDuringAnalysis(SAMSnapshotHelper.scala:43)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:606)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$lazyAnalyzed$3(QueryExecution.scala:523)
	at com.databricks.spark.util.FrameProfiler$.$anonfun$record$1(FrameProfiler.scala:114)
	at com.databricks.spark.util.FrameProfilerExporter$.maybeExportFrameProfiler(FrameProfilerExporter.scala:198)
	at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:105)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:721)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$8(QueryExecution.scala:1051)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withExecutionPhase$1(SQLExecution.scala:161)
	at com.databricks.logging.AttributionContext$.$anonfun$withValue$1(AttributionContext.scala:348)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:59)
	at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:344)
	at com.databricks.util.TracingSpanUtils$.$anonfun$withTracing$4(TracingSpanUtils.scala:235)
	at com.databricks.util.TracingSpanUtils$.withTracing(TracingSpanUtils.scala:129)
	at com.databricks.util.TracingSpanUtils$.withTracing(TracingSpanUtils.scala:233)
	at com.databricks.tracing.TracingUtils$.withTracing(TracingUtils.scala:296)
	at com.databricks.spark.util.DatabricksTracingHelper.withSpan(DatabricksSparkTracingHelper.scala:112)
	at com.databricks.spark.util.DBRTracing$.withSpan(DBRTracing.scala:47)
	at org.apache.spark.sql.execution.SQLExecution$.withExecutionPhase(SQLExecution.scala:142)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$7(QueryExecution.scala:1051)
	at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:1710)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$5(QueryExecution.scala:1044)
	at com.databricks.util.LexicalThreadLocal$Handle.runWith(LexicalThreadLocal.scala:63)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$4(QueryExecution.scala:1041)
	at com.databricks.util.LexicalThreadLocal$Handle.runWith(LexicalThreadLocal.scala:63)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$3(QueryExecution.scala:1041)
	at com.databricks.util.LexicalThreadLocal$Handle.runWith(LexicalThreadLocal.scala:63)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:1040)
	at com.databricks.util.LexicalThreadLocal$Handle.runWith(LexicalThreadLocal.scala:63)
	at org.apache.spark.sql.execution.QueryExecution.withQueryExecutionId(QueryExecution.scala:1028)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:1039)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:860)
	at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:1038)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$lazyAnalyzed$2(QueryExecution.scala:515)
	at com.databricks.sql.util.MemoryTrackerHelper.withMemoryTracking(MemoryTrackerHelper.scala:111)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$lazyAnalyzed$1(QueryExecution.scala:514)
	at scala.util.Try$.apply(Try.scala:217)
	at org.apache.spark.util.Utils$.doTryWithCallerStacktrace(Utils.scala:1775)
	at org.apache.spark.util.Utils$.getTryWithCallerStacktrace(Utils.scala:1836)
	at org.apache.spark.util.LazyTry.get(LazyTry.scala:75)
	at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:564)
	at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:488)
	at org.apache.spark.sql.classic.Dataset$.$anonfun$ofRows$1(Dataset.scala:128)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:860)
	at org.apache.spark.sql.classic.SparkSession.$anonfun$withActiveAndFrameProfiler$1(SparkSession.scala:1157)
	at com.databricks.spark.util.FrameProfiler$.$anonfun$record$1(FrameProfiler.scala:114)
	at com.databricks.spark.util.FrameProfilerExporter$.maybeExportFrameProfiler(FrameProfilerExporter.scala:198)
	at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:105)
	at org.apache.spark.sql.classic.SparkSession.withActiveAndFrameProfiler(SparkSession.scala:1157)
	at org.apache.spark.sql.classic.Dataset$.ofRows(Dataset.scala:126)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformDrop(SparkConnectPlanner.scala:3237)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.$anonfun$transformRelation$1(SparkConnectPlanner.scala:261)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$usePlanCache$8(SessionHolder.scala:743)
	at org.apache.spark.sql.connect.service.SessionHolder.measureSubtreeRelationNodes(SessionHolder.scala:759)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$usePlanCache$6(SessionHolder.scala:742)
	at scala.Option.getOrElse(Option.scala:201)
	at org.apache.spark.sql.connect.service.SessionHolder.usePlanCache(SessionHolder.scala:740)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformRelation(SparkConnectPlanner.scala:244)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformRelation(SparkConnectPlanner.scala:230)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformSort(SparkConnectPlanner.scala:3193)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.$anonfun$transformRelation$1(SparkConnectPlanner.scala:260)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$usePlanCache$8(SessionHolder.scala:743)
	at org.apache.spark.sql.connect.service.SessionHolder.measureSubtreeRelationNodes(SessionHolder.scala:759)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$usePlanCache$6(SessionHolder.scala:742)
	at scala.Option.getOrElse(Option.scala:201)
	at org.apache.spark.sql.connect.service.SessionHolder.usePlanCache(SessionHolder.scala:740)
	at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformRelation(SparkConnectPlanner.scala:244)
	at org.apache.spark.sql.connect.service.SparkConnectAnalyzeHandler.transformRelation$1(SparkConnectAnalyzeHandler.scala:103)
	at org.apache.spark.sql.connect.service.SparkConnectAnalyzeHandler.transformRelationPlan$1(SparkConnectAnalyzeHandler.scala:111)
	at org.apache.spark.sql.connect.service.SparkConnectAnalyzeHandler.process(SparkConnectAnalyzeHandler.scala:128)
	at org.apache.spark.sql.connect.service.SparkConnectAnalyzeHandler.$anonfun$handle$3(SparkConnectAnalyzeHandler.scala:86)
	at org.apache.spark.sql.connect.service.SparkConnectAnalyzeHandler.$anonfun$handle$3$adapted(SparkConnectAnalyzeHandler.scala:78)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$2(SessionHolder.scala:536)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:860)
	at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$1(SessionHolder.scala:536)
	at org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:97)
	at org.apache.spark.sql.artifact.ArtifactManager.$anonfun$withResources$1(ArtifactManager.scala:124)
	at org.apache.spark.sql.artifact.ArtifactManager.withClassLoaderIfNeeded(ArtifactManager.scala:118)
	at org.apache.spark.sql.artifact.ArtifactManager.withResources(ArtifactManager.scala:123)
	at org.apache.spark.sql.connect.service.SessionHolder.withSession(SessionHolder.scala:535)
	at org.apache.spark.sql.connect.service.SparkConnectAnalyzeHandler.$anonfun$handle$1(SparkConnectAnalyzeHandler.scala:78)
	at org.apache.spark.sql.connect.service.SparkConnectAnalyzeHandler.$anonfun$handle$1$adapted(SparkConnectAnalyzeHandler.scala:50)
	at com.databricks.spark.connect.logging.rpc.SparkConnectRpcMetricsCollectorUtils$.collectMetrics(SparkConnectRpcMetricsCollector.scala:279)
	at org.apache.spark.sql.connect.service.SparkConnectAnalyzeHandler.handle(SparkConnectAnalyzeHandler.scala:49)
	at org.apache.spark.sql.connect.service.SparkConnectService.analyzePlan(SparkConnectService.scala:116)
	at org.apache.spark.connect.proto.SparkConnectServiceGrpc$MethodHandlers.invoke(SparkConnectServiceGrpc.java:870)
	at org.sparkproject.connect.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
	at org.sparkproject.connect.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
	at org.sparkproject.connect.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
	at org.sparkproject.connect.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
	at org.sparkproject.connect.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
	at org.sparkproject.connect.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
	at org.sparkproject.connect.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
	at com.databricks.spark.connect.service.AuthenticationInterceptor$AuthenticatedServerCallListener.$anonfun$onHalfClose$1(AuthenticationInterceptor.scala:419)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
	at com.databricks.unity.UCSEphemeralState$Handle.runWith(UCSEphemeralState.scala:51)
	at com.databricks.unity.HandleImpl.runWith(UCSHandle.scala:104)
	at com.databricks.spark.connect.service.RequestContext.$anonfun$runWith$4(RequestContext.scala:367)
	at com.databricks.logging.AttributionContextTracing.$anonfun$withAttributionContext$1(AttributionContextTracing.scala:80)
	at com.databricks.logging.AttributionContext$.$anonfun$withValue$1(AttributionContext.scala:348)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:59)
	at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:344)
	at com.databricks.logging.AttributionContextTracing.withAttributionContext(AttributionContextTracing.scala:78)
	at com.databricks.logging.AttributionContextTracing.withAttributionContext$(AttributionContextTracing.scala:75)
	at com.databricks.spark.util.DatabricksTracingHelper.withAttributionContext(DatabricksSparkTracingHelper.scala:62)
	at com.databricks.spark.util.DatabricksTracingHelper.withSpanFromRequest(DatabricksSparkTracingHelper.scala:89)
	at com.databricks.spark.util.DBRTracing$.withSpanFromRequest(DBRTracing.scala:43)
	at com.databricks.spark.connect.service.RequestContext.runWithSpanFromTags(RequestContext.scala:390)
	at com.databricks.spark.connect.service.RequestContext.$anonfun$runWith$3(RequestContext.scala:367)
	at com.databricks.spark.connect.service.RequestContext$.com$databricks$spark$connect$service$RequestContext$$withLocalProperties(RequestContext.scala:602)
	at com.databricks.spark.connect.service.RequestContext.$anonfun$runWith$2(RequestContext.scala:366)
	at com.databricks.logging.AttributionContextTracing.$anonfun$withAttributionContext$1(AttributionContextTracing.scala:80)
	at com.databricks.logging.AttributionContext$.$anonfun$withValue$1(AttributionContext.scala:348)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:59)
	at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:344)
	at com.databricks.logging.AttributionContextTracing.withAttributionContext(AttributionContextTracing.scala:78)
	at com.databricks.logging.AttributionContextTracing.withAttributionContext$(AttributionContextTracing.scala:75)
	at com.databricks.spark.util.PublicDBLogging.withAttributionContext(DatabricksSparkUsageLogger.scala:29)
	at com.databricks.spark.util.UniverseAttributionContextWrapper.withValue(AttributionContextUtils.scala:242)
	at com.databricks.spark.connect.service.RequestContext.$anonfun$runWith$1(RequestContext.scala:365)
	at com.databricks.spark.connect.service.RequestContext.withContext(RequestContext.scala:398)
	at com.databricks.spark.connect.service.RequestContext.runWith(RequestContext.scala:358)
	at com.databricks.spark.connect.service.AuthenticationInterceptor$AuthenticatedServerCallListener.onHalfClose(AuthenticationInterceptor.scala:419)
	at org.sparkproject.connect.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
	at org.sparkproject.connect.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
	at org.sparkproject.connect.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
	at org.sparkproject.connect.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:356)
	at org.sparkproject.connect.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:861)
	at org.sparkproject.connect.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
	at org.sparkproject.connect.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
	at org.apache.spark.util.threads.SparkThreadLocalCapturingRunnable.$anonfun$run$1(SparkThreadLocalForwardingThreadPoolExecutor.scala:165)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
	at com.databricks.util.LexicalThreadLocal$Handle.runWith(LexicalThreadLocal.scala:63)
	at org.apache.spark.util.threads.SparkThreadLocalCapturingHelper.$anonfun$runWithCaptured$6(SparkThreadLocalForwardingThreadPoolExecutor.scala:119)
	at com.databricks.sql.transaction.tahoe.mst.MSTThreadHelper$.runWithMstTxnId(MSTThreadHelper.scala:57)
	at org.apache.spark.util.threads.SparkThreadLocalCapturingHelper.$anonfun$runWithCaptured$5(SparkThreadLocalForwardingThreadPoolExecutor.scala:118)
	at com.databricks.spark.util.IdentityClaim$.withClaim(IdentityClaim.scala:48)
	at org.apache.spark.util.threads.SparkThreadLocalCapturingHelper.$anonfun$runWithCaptured$4(SparkThreadLocalForwardingThreadPoolExecutor.scala:117)
	at com.databricks.unity.UCSEphemeralState$Handle.runWith(UCSEphemeralState.scala:51)
	at org.apache.spark.util.threads.SparkThreadLocalCapturingHelper.runWithCaptured(SparkThreadLocalForwardingThreadPoolExecutor.scala:116)
	at org.apache.spark.util.threads.SparkThreadLocalCapturingHelper.runWithCaptured$(SparkThreadLocalForwardingThreadPoolExecutor.scala:93)
	at org.apache.spark.util.threads.SparkThreadLocalCapturingRunnable.runWithCaptured(SparkThreadLocalForwardingThreadPoolExecutor.scala:162)
	at org.apache.spark.util.threads.SparkThreadLocalCapturingRunnable.run(SparkThreadLocalForwardingThreadPoolExecutor.scala:165)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
	at java.lang.Thread.run(Thread.java:840)
07:43 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 DEBUG [tests.integration.conftest] SparkKeepAlive started (interval=60s)
[gw2] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python
07:43 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 DEBUG [tests.integration.conftest] SparkKeepAlive started (interval=60s)
07:43 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_si8cxt6ia schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_si8cxt6ia
07:43 DEBUG [tests.integration.conftest] SparkKeepAlive: sent keep-alive query
07:43 INFO [databricks.labs.pytester.fixtures.baseline] Created dummy_vxmnpn4md volume: https://DATABRICKS_HOST/#explore/data/dqx/dummy_si8cxt6ia/dummy_vxmnpn4md
07:43 DEBUG [databricks.labs.dqx.telemetry] Added User-Agent extra engine=apply_checks_by_metadata_and_save_in_table
07:43 INFO [databricks.labs.dqx.engine] Applying checks to dqx.dummy_si8cxt6ia.tvpbmap
07:43 DEBUG [databricks.labs.dqx.telemetry] Added User-Agent extra input_table=3fc352a297ace8afeabf0b4a037d18e50bad67f993c483abce5fd60afab9454f
07:43 INFO [databricks.labs.dqx.io] Setting streaming trigger: {'availableNow': True}
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query 'None' for summary metrics started run ID '06f6391d-6a0e-4311-9d90-3ca99496a9dd'
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query 'None' for summary metrics started run ID '06f6391d-6a0e-4311-9d90-3ca99496a9dd'
07:43 INFO [databricks.labs.dqx.io] Setting streaming trigger: {'availableNow': True}
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query 'None' for summary metrics started run ID 'e364d154-eef8-4024-a550-b2068f87450b'
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query 'None' for summary metrics started run ID 'e364d154-eef8-4024-a550-b2068f87450b'
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query run '06f6391d-6a0e-4311-9d90-3ca99496a9dd' for summary metrics stopped
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query run '06f6391d-6a0e-4311-9d90-3ca99496a9dd' for summary metrics stopped
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query run '06f6391d-6a0e-4311-9d90-3ca99496a9dd' for summary metrics stopped
07:43 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 DEBUG [tests.integration.conftest] SparkKeepAlive started (interval=60s)
07:43 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_si8cxt6ia schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_si8cxt6ia
07:43 DEBUG [tests.integration.conftest] SparkKeepAlive: sent keep-alive query
07:43 INFO [databricks.labs.pytester.fixtures.baseline] Created dummy_vxmnpn4md volume: https://DATABRICKS_HOST/#explore/data/dqx/dummy_si8cxt6ia/dummy_vxmnpn4md
07:43 DEBUG [databricks.labs.dqx.telemetry] Added User-Agent extra engine=apply_checks_by_metadata_and_save_in_table
07:43 INFO [databricks.labs.dqx.engine] Applying checks to dqx.dummy_si8cxt6ia.tvpbmap
07:43 DEBUG [databricks.labs.dqx.telemetry] Added User-Agent extra input_table=3fc352a297ace8afeabf0b4a037d18e50bad67f993c483abce5fd60afab9454f
07:43 INFO [databricks.labs.dqx.io] Setting streaming trigger: {'availableNow': True}
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query 'None' for summary metrics started run ID '06f6391d-6a0e-4311-9d90-3ca99496a9dd'
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query 'None' for summary metrics started run ID '06f6391d-6a0e-4311-9d90-3ca99496a9dd'
07:43 INFO [databricks.labs.dqx.io] Setting streaming trigger: {'availableNow': True}
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query 'None' for summary metrics started run ID 'e364d154-eef8-4024-a550-b2068f87450b'
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query 'None' for summary metrics started run ID 'e364d154-eef8-4024-a550-b2068f87450b'
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query run '06f6391d-6a0e-4311-9d90-3ca99496a9dd' for summary metrics stopped
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query run '06f6391d-6a0e-4311-9d90-3ca99496a9dd' for summary metrics stopped
07:43 DEBUG [databricks.labs.dqx.metrics_listener] Streaming query run '06f6391d-6a0e-4311-9d90-3ca99496a9dd' for summary metrics stopped
07:44 DEBUG [tests.integration.conftest] SparkKeepAlive stopped
[gw2] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python

Running from acceptance #5456

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❌ 125/132 passed, 7 failed, 1 skipped, 8h24m37s total

❌ test_all_nulls_row_is_scored: pyspark.errors.exceptions.connect.SparkException: [ISOLATION_STARTUP_FAILURE.GENERIC] Failed to start isolated execution environment. Please contact Databricks support. SQLSTATE: XXKSS (18m29.341s)
... (skipped 17525 bytes)
INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw2_7ef9fc68
07:41 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_sqphhtpl2 schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_sqphhtpl2
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.labs.dqx.anomaly.training_service] Using explicitly set contamination=10.00% (expected_anomaly_rate=2.00% ignored)
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
08:00 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_sqphhtpl2.test_2d_tp7w02x6_ensemble_0
08:00 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_sqphhtpl2.test_2d_tp7w02x6_ensemble_1
08:00 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_sqphhtpl2.test_2d_tp7w02x6_ensemble_2
[gw2] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python
❌ test_config_change_warning: pyspark.errors.exceptions.connect.SparkException: [ISOLATION_STARTUP_FAILURE.GENERIC] Failed to start isolated execution environment. Please contact Databricks support. SQLSTATE: XXKSS (20m43.888s)
... (skipped 27844 bytes)
atabricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:40 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 WARNING [databricks.labs.dqx.anomaly.training_service] ⚠️  Model 'dqx.dummy_sm1qewboh.test_config_warn_r48y' exists with different configuration:
   Existing: columns=['amount', 'quantity'], segment_by=None
   New: columns=['amount', 'quantity', 'discount'], segment_by=None
   The old model will be archived. Consider using a different model_name if this is a different use case.
07:41 INFO [databricks.labs.dqx.anomaly.training_service] Using expected_anomaly_rate=2.00% for model training
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
08:00 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_sm1qewboh.test_config_warn_r48y_ensemble_0
08:00 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_sm1qewboh.test_config_warn_r48y_ensemble_1
08:00 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_sm1qewboh.test_config_warn_r48y_ensemble_2
[gw4] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python
❌ test_distributed_scoring_with_row_filter: pyspark.errors.exceptions.connect.SparkException: [ISOLATION_STARTUP_FAILURE.GENERIC] Failed to start isolated execution environment. Please contact Databricks support. SQLSTATE: XXKSS (25m18.465s)
... (skipped 13715 bytes)
.spark.util.UsageLogger.recordOperation$(UsageLogger.scala:65)
	at com.databricks.spark.util.DatabricksSparkUsageLogger.recordOperation(DatabricksSparkUsageLogger.scala:152)
	at com.databricks.spark.util.UsageLogging.recordOperation(UsageLogger.scala:537)
	at com.databricks.spark.util.UsageLogging.recordOperation$(UsageLogger.scala:516)
	at com.databricks.spark.safespark.udf.DispatcherImpl.recordOperation(DispatcherImpl.scala:72)
	at com.databricks.spark.safespark.udf.DispatcherObservability.recordDispatcherOperation(DispatcherObservability.scala:158)
	at com.databricks.spark.safespark.udf.DispatcherObservability.recordDispatcherOperation$(DispatcherObservability.scala:141)
	at com.databricks.spark.safespark.udf.DispatcherImpl.recordDispatcherOperation(DispatcherImpl.scala:72)
	at com.databricks.spark.safespark.udf.DispatcherImpl.createRawConnection(DispatcherImpl.scala:412)
	at com.databricks.spark.safespark.udf.DispatcherImpl.createRawConnection(DispatcherImpl.scala:72)
	at com.databricks.spark.safespark.Dispatcher.createRawConnection(Dispatcher.scala:171)
	at com.databricks.spark.api.python.IsolatedPythonWorkerFactory.createRawIsolatedWorker(IsolatedPythonWorkerFactory.scala:552)
	at com.databricks.spark.api.python.IsolatedPythonWorkerFactory.$anonfun$createIsolatedPythonWorker$4(IsolatedPythonWorkerFactory.scala:658)
	at scala.Option.getOrElse(Option.scala:201)
	at com.databricks.spark.api.python.IsolatedPythonWorkerFactory.createIsolatedPythonWorker(IsolatedPythonWorkerFactory.scala:656)
	at org.apache.spark.SparkEnv.$anonfun$createIsolatedPythonWorker$1(SparkEnv.scala:429)
	at org.apache.spark.SparkEnv._isoFactoryLock(SparkEnv.scala:248)
	at org.apache.spark.SparkEnv.isolatedFactoryReadLock(SparkEnv.scala:257)
	at org.apache.spark.SparkEnv.createIsolatedPythonWorker(SparkEnv.scala:428)
	at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:489)
	at org.apache.spark.api.python.BasePythonRunner.computeInternal(PythonRunner.scala:560)
	at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:622)
	at org.apache.spark.sql.execution.python.BaseArrowPythonRunner.compute(ArrowPythonRunner.scala:124)
	at org.apache.spark.sql.execution.python.ArrowEvalPythonEvaluatorFactory.evaluate(ArrowEvalPythonExec.scala:281)
	at org.apache.spark.sql.execution.python.EvalPythonEvaluatorFactory$EvalPythonPartitionEvaluator.eval(EvalPythonEvaluatorFactory.scala:125)
	at org.apache.spark.sql.execution.python.EvalPythonExec.$anonfun$doExecute$2(EvalPythonExec.scala:97)
	at org.apache.spark.sql.execution.python.EvalPythonExec.$anonfun$doExecute$2$adapted(EvalPythonExec.scala:96)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2(RDD.scala:941)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2$adapted(RDD.scala:941)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:62)
	at org.apache.spark.rdd.RDD.$anonfun$computeOrReadCheckpoint$1(RDD.scala:429)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:426)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:393)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:62)
	at org.apache.spark.rdd.RDD.$anonfun$computeOrReadCheckpoint$1(RDD.scala:429)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:426)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:393)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:62)
	at org.apache.spark.rdd.RDD.$anonfun$computeOrReadCheckpoint$1(RDD.scala:429)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:426)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:393)
	at org.apache.spark.scheduler.ShuffleMapTask.$anonfun$runTask$3(ShuffleMapTask.scala:83)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.ShuffleMapTask.$anonfun$runTask$1(ShuffleMapTask.scala:82)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:58)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:39)
	at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:233)
	at org.apache.spark.scheduler.Task.doRunTask(Task.scala:201)
	at org.apache.spark.scheduler.Task.$anonfun$run$4(Task.scala:164)
	at com.databricks.unity.UCSEphemeralState$Handle.runWith(UCSEphemeralState.scala:51)
	at com.databricks.unity.HandleImpl.runWith(UCSHandle.scala:104)
	at com.databricks.unity.HandleImpl.$anonfun$runWithAndClose$1(UCSHandle.scala:109)
	at scala.util.Using$.resource(Using.scala:296)
	at com.databricks.unity.HandleImpl.runWithAndClose(UCSHandle.scala:108)
	at org.apache.spark.scheduler.TaskExecutionUtils$.withUCHandleForTaskExecution(Task.scala:359)
	at org.apache.spark.scheduler.Task.$anonfun$run$3(Task.scala:158)
	at org.apache.spark.scheduler.TaskExecutionUtils$.withCredentialsForTaskExecution(Task.scala:337)
	at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:116)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.Task.run(Task.scala:111)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$11(Executor.scala:1391)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:86)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:83)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:112)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:1396)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:1233)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
	at java.lang.Thread.run(Thread.java:840)
07:42 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw5_47dd0296
07:42 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_scnzyxtan schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_scnzyxtan
[gw5] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python
07:42 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw5_47dd0296
07:42 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_scnzyxtan schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_scnzyxtan
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.labs.dqx.anomaly.training_service] Using expected_anomaly_rate=2.00% for model training
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw5_47dd0296
07:42 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_scnzyxtan schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_scnzyxtan
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.labs.dqx.anomaly.training_service] Using expected_anomaly_rate=2.00% for model training
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
[gw5] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python
❌ test_top_contributor_is_reasonable: pyspark.errors.exceptions.connect.SparkException: [ISOLATION_STARTUP_FAILURE.GENERIC] Failed to start isolated execution environment. Please contact Databricks support. SQLSTATE: XXKSS (26m8.562s)
... (skipped 13139 bytes)
a:29)
	at com.databricks.logging.UsageLogging.recordOperation(UsageLogging.scala:511)
	at com.databricks.logging.UsageLogging.recordOperation$(UsageLogging.scala:475)
	at com.databricks.spark.util.PublicDBLogging.recordOperation(DatabricksSparkUsageLogger.scala:29)
	at com.databricks.spark.util.PublicDBLogging.recordOperation0(DatabricksSparkUsageLogger.scala:104)
	at com.databricks.spark.util.DatabricksSparkUsageLogger.recordOperation(DatabricksSparkUsageLogger.scala:193)
	at com.databricks.spark.util.UsageLogger.recordOperation(UsageLogger.scala:78)
	at com.databricks.spark.util.UsageLogger.recordOperation$(UsageLogger.scala:65)
	at com.databricks.spark.util.DatabricksSparkUsageLogger.recordOperation(DatabricksSparkUsageLogger.scala:152)
	at com.databricks.spark.util.UsageLogging.recordOperation(UsageLogger.scala:537)
	at com.databricks.spark.util.UsageLogging.recordOperation$(UsageLogger.scala:516)
	at com.databricks.spark.safespark.udf.DispatcherImpl.recordOperation(DispatcherImpl.scala:72)
	at com.databricks.spark.safespark.udf.DispatcherObservability.recordDispatcherOperation(DispatcherObservability.scala:158)
	at com.databricks.spark.safespark.udf.DispatcherObservability.recordDispatcherOperation$(DispatcherObservability.scala:141)
	at com.databricks.spark.safespark.udf.DispatcherImpl.recordDispatcherOperation(DispatcherImpl.scala:72)
	at com.databricks.spark.safespark.udf.DispatcherImpl.createRawConnection(DispatcherImpl.scala:412)
	at com.databricks.spark.safespark.udf.DispatcherImpl.createRawConnection(DispatcherImpl.scala:72)
	at com.databricks.spark.safespark.Dispatcher.createRawConnection(Dispatcher.scala:171)
	at com.databricks.spark.api.python.IsolatedPythonWorkerFactory.createRawIsolatedWorker(IsolatedPythonWorkerFactory.scala:552)
	at com.databricks.spark.api.python.IsolatedPythonWorkerFactory.$anonfun$createIsolatedPythonWorker$4(IsolatedPythonWorkerFactory.scala:658)
	at scala.Option.getOrElse(Option.scala:201)
	at com.databricks.spark.api.python.IsolatedPythonWorkerFactory.createIsolatedPythonWorker(IsolatedPythonWorkerFactory.scala:656)
	at org.apache.spark.SparkEnv.$anonfun$createIsolatedPythonWorker$1(SparkEnv.scala:429)
	at org.apache.spark.SparkEnv._isoFactoryLock(SparkEnv.scala:248)
	at org.apache.spark.SparkEnv.isolatedFactoryReadLock(SparkEnv.scala:257)
	at org.apache.spark.SparkEnv.createIsolatedPythonWorker(SparkEnv.scala:428)
	at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:489)
	at org.apache.spark.api.python.BasePythonRunner.computeInternal(PythonRunner.scala:560)
	at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:622)
	at org.apache.spark.sql.execution.python.BaseArrowPythonRunner.compute(ArrowPythonRunner.scala:124)
	at org.apache.spark.sql.execution.python.ArrowEvalPythonEvaluatorFactory.evaluate(ArrowEvalPythonExec.scala:281)
	at org.apache.spark.sql.execution.python.EvalPythonEvaluatorFactory$EvalPythonPartitionEvaluator.eval(EvalPythonEvaluatorFactory.scala:125)
	at org.apache.spark.sql.execution.python.EvalPythonExec.$anonfun$doExecute$2(EvalPythonExec.scala:97)
	at org.apache.spark.sql.execution.python.EvalPythonExec.$anonfun$doExecute$2$adapted(EvalPythonExec.scala:96)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2(RDD.scala:941)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2$adapted(RDD.scala:941)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:62)
	at org.apache.spark.rdd.RDD.$anonfun$computeOrReadCheckpoint$1(RDD.scala:429)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:426)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:393)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:62)
	at org.apache.spark.rdd.RDD.$anonfun$computeOrReadCheckpoint$1(RDD.scala:429)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:426)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:393)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:62)
	at org.apache.spark.rdd.RDD.$anonfun$computeOrReadCheckpoint$1(RDD.scala:429)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:426)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:393)
	at org.apache.spark.scheduler.ShuffleMapTask.$anonfun$runTask$3(ShuffleMapTask.scala:83)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.ShuffleMapTask.$anonfun$runTask$1(ShuffleMapTask.scala:82)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:58)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:39)
	at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:233)
	at org.apache.spark.scheduler.Task.doRunTask(Task.scala:201)
	at org.apache.spark.scheduler.Task.$anonfun$run$4(Task.scala:164)
	at com.databricks.unity.UCSEphemeralState$Handle.runWith(UCSEphemeralState.scala:51)
	at com.databricks.unity.HandleImpl.runWith(UCSHandle.scala:104)
	at com.databricks.unity.HandleImpl.$anonfun$runWithAndClose$1(UCSHandle.scala:109)
	at scala.util.Using$.resource(Using.scala:296)
	at com.databricks.unity.HandleImpl.runWithAndClose(UCSHandle.scala:108)
	at org.apache.spark.scheduler.TaskExecutionUtils$.withUCHandleForTaskExecution(Task.scala:359)
	at org.apache.spark.scheduler.Task.$anonfun$run$3(Task.scala:158)
	at org.apache.spark.scheduler.TaskExecutionUtils$.withCredentialsForTaskExecution(Task.scala:337)
	at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:116)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.scheduler.Task.run(Task.scala:111)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$11(Executor.scala:1391)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:86)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:83)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:112)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:1396)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:1233)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
	at java.lang.Thread.run(Thread.java:840)
07:42 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw7_6389dcb8
07:42 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_s8tla2ylc schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_s8tla2ylc
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.labs.dqx.anomaly.training_service] Using expected_anomaly_rate=2.00% for model training
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw7_6389dcb8
07:42 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_s8tla2ylc schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_s8tla2ylc
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.labs.dqx.anomaly.training_service] Using expected_anomaly_rate=2.00% for model training
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
[gw7] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python
❌ test_no_sampling_with_full_fraction: pyspark.errors.exceptions.connect.SparkException: [ISOLATION_STARTUP_FAILURE.GENERIC] Failed to start isolated execution environment. Please contact Databricks support. SQLSTATE: XXKSS (27m18.502s)
... (skipped 18062 bytes)
ation
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:44 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:44 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw1_7ac0b085
07:41 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_ssnwnqocg schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_ssnwnqocg
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.labs.dqx.anomaly.training_service] Using expected_anomaly_rate=2.00% for model training
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:44 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:44 INFO [databricks.sdk] Using Databricks Metadata Service authentication
08:09 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_ssnwnqocg.test_no_sampling_jugj_ensemble_0
08:09 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_ssnwnqocg.test_no_sampling_jugj_ensemble_1
08:09 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_ssnwnqocg.test_no_sampling_jugj_ensemble_2
[gw1] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python
❌ test_registry_table_schema: pyspark.errors.exceptions.connect.SparkException: [ISOLATION_STARTUP_FAILURE.GENERIC] Failed to start isolated execution environment. Please contact Databricks support. SQLSTATE: XXKSS (27m36.455s)
... (skipped 18047 bytes)
rvice authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw0_5f235b59
07:42 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_s70yzqlkf schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_s70yzqlkf
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.labs.dqx.anomaly.training_service] Using expected_anomaly_rate=2.00% for model training
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
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07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
08:10 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_s70yzqlkf.test_schema_afbu_ensemble_0
08:10 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_s70yzqlkf.test_schema_afbu_ensemble_1
08:10 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_s70yzqlkf.test_schema_afbu_ensemble_2
[gw0] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python
❌ test_multiple_models_in_same_registry: pyspark.errors.exceptions.connect.SparkException: [ISOLATION_STARTUP_FAILURE.GENERIC] Failed to start isolated execution environment. Please contact Databricks support. SQLSTATE: XXKSS (28m52.073s)
... (skipped 18035 bytes)
 Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [tests.conftest] Overriding DATABRICKS_CLUSTER_ID with DATABRICKS_DQX_CLUSTER_ID: DATABRICKS_DQX_CLUSTER_ID
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 DEBUG [tests.integration_anomaly.conftest] MLflow configured: experiment=/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/dqx_integration_tests_gw8_612d53c3
07:41 INFO [databricks.labs.pytester.fixtures.baseline] Created dqx.dummy_smkknrlv4 schema: https://DATABRICKS_HOST/#explore/data/dqx/dummy_smkknrlv4
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.labs.dqx.anomaly.training_service] Using expected_anomaly_rate=2.00% for model training
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:41 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:42 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
07:43 INFO [databricks.sdk] Using Databricks Metadata Service authentication
08:10 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_smkknrlv4.model_a_zmnl_ensemble_0
08:10 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_smkknrlv4.model_a_zmnl_ensemble_1
08:10 DEBUG [tests.integration_anomaly.conftest] Deleted registered model dqx.dummy_smkknrlv4.model_a_zmnl_ensemble_2
[gw8] linux -- Python 3.12.3 /home/runner/work/dqx/dqx/.venv/bin/python

Running from anomaly #1570

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