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fix: change to use mwc token in tenant setting check #2300

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merged 1 commit into from
Oct 16, 2024

change to use mwc token for tenant setting check

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Merged

fix: change to use mwc token in tenant setting check #2300

change to use mwc token for tenant setting check
d1ad58a
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Azure Pipelines / microsoft.SynapseML failed Oct 15, 2024 in 1h 29m 47s

Build #20241014.4 had test failures

Details

Tests

  • Failed: 4 (0.22%)
  • Passed: 1,753 (98.48%)
  • Other: 23 (1.29%)
  • Total: 1,780

Annotations

Check failure on line 1336 in Build log

See this annotation in the file changed.

@azure-pipelines azure-pipelines / microsoft.SynapseML

Build log #L1336

Script failed with exit code: 1

Check failure on line 757 in Build log

See this annotation in the file changed.

@azure-pipelines azure-pipelines / microsoft.SynapseML

Build log #L757

Script failed with exit code: 1

Check failure on line 39 in Build log

See this annotation in the file changed.

@azure-pipelines azure-pipelines / microsoft.SynapseML

Build log #L39

There are one or more test failures detected in result files. Detailed summary of published test results can be viewed in the Tests tab.

Check failure on line 39 in Build log

See this annotation in the file changed.

@azure-pipelines azure-pipelines / microsoft.SynapseML

Build log #L39

There are one or more test failures detected in result files. Detailed summary of published test results can be viewed in the Tests tab.

Check failure on line 1 in Quickstart - Custom Embeddings and Approximate KNN on GPU.ipynb

See this annotation in the file changed.

@azure-pipelines azure-pipelines / microsoft.SynapseML

Quickstart - Custom Embeddings and Approximate KNN on GPU.ipynb

Notebook /SynapseMLBuild/build_1.0.7-3-234454c5-SNAPSHOT/Explore Algorithms/OpenAI/Quickstart - Custom Embeddings and Approximate KNN on GPU.ipynb failed with state FAILED. For more information check the run page:  https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/67039021485360/run/887668696320570 
Raw output
java.lang.RuntimeException: Notebook /SynapseMLBuild/build_1.0.7-3-234454c5-SNAPSHOT/Explore Algorithms/OpenAI/Quickstart - Custom Embeddings and Approximate KNN on GPU.ipynb failed with state FAILED. For more information check the run page: 
https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/67039021485360/run/887668696320570

	at com.microsoft.azure.synapse.ml.nbtest.DatabricksUtilities$.monitorJob(DatabricksUtilities.scala:349)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksNotebookRun.monitor(DatabricksUtilities.scala:474)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksUtilities$.runNotebook(DatabricksUtilities.scala:371)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksTestHelper.$anonfun$databricksTestHelper$6(DatabricksUtilities.scala:452)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
	at scala.util.Success.$anonfun$map$1(Try.scala:255)
	at scala.util.Success.map(Try.scala:213)
	at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
	at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
	at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
	at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:750)

Check failure on line 1 in Quickstart - OpenAI Embedding and GPU based KNN.ipynb

See this annotation in the file changed.

@azure-pipelines azure-pipelines / microsoft.SynapseML

Quickstart - OpenAI Embedding and GPU based KNN.ipynb

Notebook /SynapseMLBuild/build_1.0.7-3-234454c5-SNAPSHOT/Explore Algorithms/OpenAI/Quickstart - OpenAI Embedding and GPU based KNN.ipynb failed with state FAILED. For more information check the run page:  https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/761579292861072/run/488389915577274 
Raw output
java.lang.RuntimeException: Notebook /SynapseMLBuild/build_1.0.7-3-234454c5-SNAPSHOT/Explore Algorithms/OpenAI/Quickstart - OpenAI Embedding and GPU based KNN.ipynb failed with state FAILED. For more information check the run page: 
https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/761579292861072/run/488389915577274

	at com.microsoft.azure.synapse.ml.nbtest.DatabricksUtilities$.monitorJob(DatabricksUtilities.scala:349)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksNotebookRun.monitor(DatabricksUtilities.scala:474)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksUtilities$.runNotebook(DatabricksUtilities.scala:371)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksTestHelper.$anonfun$databricksTestHelper$6(DatabricksUtilities.scala:452)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
	at scala.util.Success.$anonfun$map$1(Try.scala:255)
	at scala.util.Success.map(Try.scala:213)
	at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
	at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
	at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
	at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:750)

Check failure on line 1 in Langchain.ipynb

See this annotation in the file changed.

@azure-pipelines azure-pipelines / microsoft.SynapseML

Langchain.ipynb

Notebook /SynapseMLBuild/build_1.0.7-3-234454c5-SNAPSHOT/Explore Algorithms/OpenAI/Langchain.ipynb failed with state FAILED. For more information check the run page:  https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/1073261394783072/run/370124257407786 
Raw output
java.lang.RuntimeException: Notebook /SynapseMLBuild/build_1.0.7-3-234454c5-SNAPSHOT/Explore Algorithms/OpenAI/Langchain.ipynb failed with state FAILED. For more information check the run page: 
https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/1073261394783072/run/370124257407786

	at com.microsoft.azure.synapse.ml.nbtest.DatabricksUtilities$.monitorJob(DatabricksUtilities.scala:349)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksNotebookRun.monitor(DatabricksUtilities.scala:474)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksUtilities$.runNotebook(DatabricksUtilities.scala:371)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksTestHelper.$anonfun$databricksTestHelper$6(DatabricksUtilities.scala:452)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
	at scala.util.Success.$anonfun$map$1(Try.scala:255)
	at scala.util.Success.map(Try.scala:213)
	at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
	at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
	at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
	at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:750)

Check failure on line 1 in Text Explainers.ipynb

See this annotation in the file changed.

@azure-pipelines azure-pipelines / microsoft.SynapseML

Text Explainers.ipynb

Notebook /SynapseMLBuild/build_1.0.7-3-234454c5-SNAPSHOT/Explore Algorithms/Responsible AI/Text Explainers.ipynb timed out after 3000000 ms, job in state RUNNING,  For more information check the run page:  https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/904502272436391/run/381378245377677  
Raw output
java.util.concurrent.TimeoutException: Notebook /SynapseMLBuild/build_1.0.7-3-234454c5-SNAPSHOT/Explore Algorithms/Responsible AI/Text Explainers.ipynb timed out after 3000000 ms, job in state RUNNING,  For more information check the run page: 
https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/904502272436391/run/381378245377677
 
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksUtilities$.monitorJob(DatabricksUtilities.scala:356)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksNotebookRun.monitor(DatabricksUtilities.scala:474)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksUtilities$.runNotebook(DatabricksUtilities.scala:371)
	at com.microsoft.azure.synapse.ml.nbtest.DatabricksTestHelper.$anonfun$databricksTestHelper$6(DatabricksUtilities.scala:452)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
	at scala.util.Success.$anonfun$map$1(Try.scala:255)
	at scala.util.Success.map(Try.scala:213)
	at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
	at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
	at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
	at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:750)