flyrain commented on code in PR #859:
URL: https://github.com/apache/polaris/pull/859#discussion_r1929978793
##########
getting-started/spark/notebooks/SparkPolaris.ipynb:
##########
@@ -539,7 +761,23 @@
"raises-exception"
]
},
- "outputs": [],
+ "outputs": [
+ {
+ "ename": "Py4JJavaError",
+ "evalue": "An error occurred while calling o90.sql.\n:
org.apache.iceberg.exceptions.ForbiddenException: Forbidden: Principal 'mlee'
with activated PrincipalRoles '[]' and activated grants via '[product_manager,
read_only]' is not authorized for op UPDATE_TABLE\n\tat
org.apache.iceberg.rest.ErrorHandlers$DefaultErrorHandler.accept(ErrorHandlers.java:212)\n\tat
org.apache.iceberg.rest.ErrorHandlers$CommitErrorHandler.accept(ErrorHandlers.java:97)\n\tat
org.apache.iceberg.rest.ErrorHandlers$CommitErrorHandler.accept(ErrorHandlers.java:80)\n\tat
org.apache.iceberg.rest.HTTPClient.throwFailure(HTTPClient.java:211)\n\tat
org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:323)\n\tat
org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:262)\n\tat
org.apache.iceberg.rest.HTTPClient.post(HTTPClient.java:368)\n\tat
org.apache.iceberg.rest.RESTClient.post(RESTClient.java:112)\n\tat
org.apache.iceberg.rest.RESTTableOperations.commit(RESTTableOperations.java:159)\n\tat
org.apa
che.iceberg.SnapshotProducer.lambda$commit$2(SnapshotProducer.java:429)\n\tat
org.apache.iceberg.util.Tasks$Builder.runTaskWithRetry(Tasks.java:413)\n\tat
org.apache.iceberg.util.Tasks$Builder.runSingleThreaded(Tasks.java:219)\n\tat
org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:203)\n\tat
org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:196)\n\tat
org.apache.iceberg.SnapshotProducer.commit(SnapshotProducer.java:401)\n\tat
org.apache.iceberg.spark.source.SparkWrite.commitOperation(SparkWrite.java:233)\n\tat
org.apache.iceberg.spark.source.SparkWrite$BatchAppend.commit(SparkWrite.java:301)\n\tat
org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2(WriteToDataSourceV2Exec.scala:399)\n\tat
org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2$(WriteToDataSourceV2Exec.scala:359)\n\tat
org.apache.spark.sql.execution.datasources.v2.AppendDataExec.writeWithV2(WriteToDataSourceV2Exec.scala:225)\n\tat
org.apache.spark.sql.execution.datasou
rces.v2.V2ExistingTableWriteExec.run(WriteToDataSourceV2Exec.scala:337)\n\tat
org.apache.spark.sql.execution.datasources.v2.V2ExistingTableWriteExec.run$(WriteToDataSourceV2Exec.scala:336)\n\tat
org.apache.spark.sql.execution.datasources.v2.AppendDataExec.run(WriteToDataSourceV2Exec.scala:225)\n\tat
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$lzycompute(V2CommandExec.scala:43)\n\tat
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result(V2CommandExec.scala:43)\n\tat
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.executeCollect(V2CommandExec.scala:49)\n\tat
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107)\n\tat
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)\n\tat
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)\n\tat
org.apache.spark.sql.execution.SQLExecution$.$ano
nfun$withNewExecutionId$1(SQLExecution.scala:108)\n\tat
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)\n\tat
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)\n\tat
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107)\n\tat
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)\n\tat
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461)\n\tat
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)\n\tat
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461)\n\tat
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)\n\tat
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.tran
sformDownWithPruning(AnalysisHelper.scala:267)\n\tat
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)\n\tat
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)\n\tat
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)\n\tat
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:437)\n\tat
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98)\n\tat
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85)\n\tat
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83)\n\tat
org.apache.spark.sql.Dataset.<init>(Dataset.scala:220)\n\tat
org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)\n\tat
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)\n\tat
org.apache.spark.s
ql.Dataset$.ofRows(Dataset.scala:97)\n\tat
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:638)\n\tat
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)\n\tat
org.apache.spark.sql.SparkSession.sql(SparkSession.scala:629)\n\tat
org.apache.spark.sql.SparkSession.sql(SparkSession.scala:659)\n\tat
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native
Method)\n\tat
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\n\tat
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat
java.base/java.lang.reflect.Method.invoke(Method.java:568)\n\tat
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\n\tat
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\n\tat
py4j.Gateway.invoke(Gateway.java:282)\n\tat
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\n\tat
py4j.commands.CallCommand.execute(CallCom
mand.java:79)\n\tat
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\n\tat
py4j.ClientServerConnection.run(ClientServerConnection.java:106)\n\tat
java.base/java.lang.Thread.run(Thread.java:833)\n",
Review Comment:
Should we include these outputs? I guess we can exclude all outputs to keep
this lean. WDYT?
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