bug: reproduce issue (#3) #6
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
caldempsey
commented
Mar 2, 2024
| ] | ||
| }, | ||
| { | ||
| "ename": "Py4JJavaError", | ||
| "evalue": "An error occurred while calling o56.save.\n: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 7) (172.25.0.3 executor 0): org.apache.spark.SparkFileNotFoundException: File file:/data/delta_table_of_dog_owners/_delta_log/00000000000000000003.checkpoint.parquet does not exist\nIt is possible the underlying files have been updated. You can explicitly invalidate the cache in Spark by running 'REFRESH TABLE tableName' command in SQL or by recreating the Dataset/DataFrame involved.\n\tat org.apache.spark.sql.errors.QueryExecutionErrors$.readCurrentFileNotFoundError(QueryExecutionErrors.scala:780)\n\tat org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:220)\n\tat org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:279)\n\tat org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:129)\n\tat org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:593)\n\tat org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)\n\tat org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)\n\tat org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)\n\tat org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:331)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)\n\tat java.base/java.lang.Thread.run(Thread.java:840)\n\nDriver stacktrace:\n\tat org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2856)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2792)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2791)\n\tat scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)\n\tat scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)\n\tat scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)\n\tat org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2791)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1247)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1247)\n\tat scala.Option.foreach(Option.scala:407)\n\tat org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1247)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3060)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2994)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2983)\n\tat org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)\n\tat org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:989)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2398)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2419)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2438)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2463)\n\tat org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1049)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)\n\tat org.apache.spark.rdd.RDD.withScope(RDD.scala:410)\n\tat org.apache.spark.rdd.RDD.collect(RDD.scala:1048)\n\tat org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:448)\n\tat org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:4332)\n\tat org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:3573)\n\tat org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:4322)\n\tat org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:546)\n\tat org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:4320)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$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$.$anonfun$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.Dataset.withAction(Dataset.scala:4320)\n\tat org.apache.spark.sql.Dataset.collect(Dataset.scala:3573)\n\tat org.apache.spark.sql.delta.Snapshot.protocolAndMetadataReconstruction(Snapshot.scala:229)\n\tat org.apache.spark.sql.delta.Snapshot.x$1$lzycompute(Snapshot.scala:138)\n\tat org.apache.spark.sql.delta.Snapshot.x$1(Snapshot.scala:133)\n\tat org.apache.spark.sql.delta.Snapshot._metadata$lzycompute(Snapshot.scala:133)\n\tat org.apache.spark.sql.delta.Snapshot._metadata(Snapshot.scala:133)\n\tat org.apache.spark.sql.delta.Snapshot.metadata(Snapshot.scala:202)\n\tat org.apache.spark.sql.delta.Snapshot.toString(Snapshot.scala:416)\n\tat java.base/java.lang.String.valueOf(String.java:2951)\n\tat java.base/java.lang.StringBuilder.append(StringBuilder.java:172)\n\tat org.apache.spark.sql.delta.Snapshot.$anonfun$new$1(Snapshot.scala:419)\n\tat org.apache.spark.sql.delta.Snapshot.$anonfun$logInfo$1(Snapshot.scala:396)\n\tat org.apache.spark.internal.Logging.logInfo(Logging.scala:60)\n\tat org.apache.spark.internal.Logging.logInfo$(Logging.scala:59)\n\tat org.apache.spark.sql.delta.Snapshot.logInfo(Snapshot.scala:396)\n\tat org.apache.spark.sql.delta.Snapshot.<init>(Snapshot.scala:419)\n\tat org.apache.spark.sql.delta.SnapshotManagement.$anonfun$createSnapshot$2(SnapshotManagement.scala:503)\n\tat org.apache.spark.sql.delta.SnapshotManagement.createSnapshotFromGivenOrEquivalentLogSegment(SnapshotManagement.scala:628)\n\tat org.apache.spark.sql.delta.SnapshotManagement.createSnapshotFromGivenOrEquivalentLogSegment$(SnapshotManagement.scala:616)\n\tat org.apache.spark.sql.delta.DeltaLog.createSnapshotFromGivenOrEquivalentLogSegment(DeltaLog.scala:72)\n\tat org.apache.spark.sql.delta.SnapshotManagement.createSnapshot(SnapshotManagement.scala:496)\n\tat org.apache.spark.sql.delta.SnapshotManagement.createSnapshot$(SnapshotManagement.scala:489)\n\tat org.apache.spark.sql.delta.DeltaLog.createSnapshot(DeltaLog.scala:72)\n\tat org.apache.spark.sql.delta.SnapshotManagement.$anonfun$createSnapshotAtInitInternal$1(SnapshotManagement.scala:450)\n\tat scala.Option.map(Option.scala:230)\n\tat org.apache.spark.sql.delta.SnapshotManagement.createSnapshotAtInitInternal(SnapshotManagement.scala:447)\n\tat org.apache.spark.sql.delta.SnapshotManagement.createSnapshotAtInitInternal$(SnapshotManagement.scala:444)\n\tat org.apache.spark.sql.delta.DeltaLog.createSnapshotAtInitInternal(DeltaLog.scala:72)\n\tat org.apache.spark.sql.delta.SnapshotManagement.$anonfun$getSnapshotAtInit$1(SnapshotManagement.scala:439)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordFrameProfile(DeltaLogging.scala:140)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordFrameProfile$(DeltaLogging.scala:138)\n\tat org.apache.spark.sql.delta.DeltaLog.recordFrameProfile(DeltaLog.scala:72)\n\tat org.apache.spark.sql.delta.SnapshotManagement.getSnapshotAtInit(SnapshotManagement.scala:434)\n\tat org.apache.spark.sql.delta.SnapshotManagement.getSnapshotAtInit$(SnapshotManagement.scala:433)\n\tat org.apache.spark.sql.delta.DeltaLog.getSnapshotAtInit(DeltaLog.scala:72)\n\tat org.apache.spark.sql.delta.SnapshotManagement.$init$(SnapshotManagement.scala:60)\n\tat org.apache.spark.sql.delta.DeltaLog.<init>(DeltaLog.scala:78)\n\tat org.apache.spark.sql.delta.DeltaLog$.$anonfun$apply$4(DeltaLog.scala:779)\n\tat org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)\n\tat org.apache.spark.sql.delta.DeltaLog$.$anonfun$apply$3(DeltaLog.scala:774)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordFrameProfile(DeltaLogging.scala:140)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordFrameProfile$(DeltaLogging.scala:138)\n\tat org.apache.spark.sql.delta.DeltaLog$.recordFrameProfile(DeltaLog.scala:598)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.$anonfun$recordDeltaOperationInternal$1(DeltaLogging.scala:133)\n\tat com.databricks.spark.util.DatabricksLogging.recordOperation(DatabricksLogging.scala:128)\n\tat com.databricks.spark.util.DatabricksLogging.recordOperation$(DatabricksLogging.scala:117)\n\tat org.apache.spark.sql.delta.DeltaLog$.recordOperation(DeltaLog.scala:598)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordDeltaOperationInternal(DeltaLogging.scala:132)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordDeltaOperation(DeltaLogging.scala:122)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordDeltaOperation$(DeltaLogging.scala:112)\n\tat org.apache.spark.sql.delta.DeltaLog$.recordDeltaOperation(DeltaLog.scala:598)\n\tat org.apache.spark.sql.delta.DeltaLog$.createDeltaLog$1(DeltaLog.scala:773)\n\tat org.apache.spark.sql.delta.DeltaLog$.$anonfun$apply$5(DeltaLog.scala:791)\n\tat com.google.common.cache.LocalCache$LocalManualCache$1.load(LocalCache.java:4792)\n\tat com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599)\n\tat com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2379)\n\tat com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)\n\tat com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2257)\n\tat com.google.common.cache.LocalCache.get(LocalCache.java:4000)\n\tat com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4789)\n\tat org.apache.spark.sql.delta.DeltaLog$.getDeltaLogFromCache$1(DeltaLog.scala:790)\n\tat org.apache.spark.sql.delta.DeltaLog$.apply(DeltaLog.scala:800)\n\tat org.apache.spark.sql.delta.DeltaLog$.forTable(DeltaLog.scala:677)\n\tat org.apache.spark.sql.delta.sources.DeltaDataSource.createRelation(DeltaDataSource.scala:189)\n\tat org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)\n\tat org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)\n\tat org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)\n\tat org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)\n\tat org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)\n\tat org.apache.spark.sql.execution.QueryExecution$$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$transformDownWithPruning(LogicalPlan.scala:32)\n\tat org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)\n\tat org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(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$lzycompute(QueryExecution.scala:85)\n\tat org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83)\n\tat org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:142)\n\tat org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:859)\n\tat org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:388)\n\tat org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:304)\n\tat org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:240)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.base/java.lang.reflect.Method.invoke(Method.java:566)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\n\tat py4j.Gateway.invoke(Gateway.java:282)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\n\tat py4j.ClientServerConnection.run(ClientServerConnection.java:106)\n\tat java.base/java.lang.Thread.run(Thread.java:829)\nCaused by: org.apache.spark.SparkFileNotFoundException: File file:/data/delta_table_of_dog_owners/_delta_log/00000000000000000003.checkpoint.parquet does not exist\nIt is possible the underlying files have been updated. You can explicitly invalidate the cache in Spark by running 'REFRESH TABLE tableName' command in SQL or by recreating the Dataset/DataFrame involved.\n\tat org.apache.spark.sql.errors.QueryExecutionErrors$.readCurrentFileNotFoundError(QueryExecutionErrors.scala:780)\n\tat org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:220)\n\tat org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:279)\n\tat org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:129)\n\tat org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:593)\n\tat org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)\n\tat org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)\n\tat org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)\n\tat org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:331)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)\n\tat java.base/java.lang.Thread.run(Thread.java:840)\n", | ||
| "evalue": "An error occurred while calling o56.save.\n: org.apache.spark.sql.delta.DeltaIOException: [DELTA_CANNOT_CREATE_LOG_PATH] Cannot create file:/data/delta_table_of_dog_owners/_delta_log\n\tat org.apache.spark.sql.delta.DeltaErrorsBase.cannotCreateLogPathException(DeltaErrors.scala:1534)\n\tat org.apache.spark.sql.delta.DeltaErrorsBase.cannotCreateLogPathException$(DeltaErrors.scala:1533)\n\tat org.apache.spark.sql.delta.DeltaErrors$.cannotCreateLogPathException(DeltaErrors.scala:3203)\n\tat org.apache.spark.sql.delta.DeltaLog.createDirIfNotExists$1(DeltaLog.scala:443)\n\tat org.apache.spark.sql.delta.DeltaLog.ensureLogDirectoryExist(DeltaLog.scala:447)\n\tat org.apache.spark.sql.delta.OptimisticTransactionImpl.prepareCommit(OptimisticTransaction.scala:1436)\n\tat org.apache.spark.sql.delta.OptimisticTransactionImpl.prepareCommit$(OptimisticTransaction.scala:1356)\n\tat org.apache.spark.sql.delta.OptimisticTransaction.prepareCommit(OptimisticTransaction.scala:142)\n\tat org.apache.spark.sql.delta.OptimisticTransactionImpl.liftedTree1$1(OptimisticTransaction.scala:1064)\n\tat org.apache.spark.sql.delta.OptimisticTransactionImpl.$anonfun$commitImpl$1(OptimisticTransaction.scala:1056)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordFrameProfile(DeltaLogging.scala:140)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordFrameProfile$(DeltaLogging.scala:138)\n\tat org.apache.spark.sql.delta.OptimisticTransaction.recordFrameProfile(OptimisticTransaction.scala:142)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.$anonfun$recordDeltaOperationInternal$1(DeltaLogging.scala:133)\n\tat com.databricks.spark.util.DatabricksLogging.recordOperation(DatabricksLogging.scala:128)\n\tat com.databricks.spark.util.DatabricksLogging.recordOperation$(DatabricksLogging.scala:117)\n\tat org.apache.spark.sql.delta.OptimisticTransaction.recordOperation(OptimisticTransaction.scala:142)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordDeltaOperationInternal(DeltaLogging.scala:132)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordDeltaOperation(DeltaLogging.scala:122)\n\tat org.apache.spark.sql.delta.metering.DeltaLogging.recordDeltaOperation$(DeltaLogging.scala:112)\n\tat org.apache.spark.sql.delta.OptimisticTransaction.recordDeltaOperation(OptimisticTransaction.scala:142)\n\tat org.apache.spark.sql.delta.OptimisticTransactionImpl.commitImpl(OptimisticTransaction.scala:1053)\n\tat org.apache.spark.sql.delta.OptimisticTransactionImpl.commitImpl$(OptimisticTransaction.scala:1048)\n\tat org.apache.spark.sql.delta.OptimisticTransaction.commitImpl(OptimisticTransaction.scala:142)\n\tat org.apache.spark.sql.delta.OptimisticTransactionImpl.commitIfNeeded(OptimisticTransaction.scala:1010)\n\tat org.apache.spark.sql.delta.OptimisticTransactionImpl.commitIfNeeded$(OptimisticTransaction.scala:1006)\n\tat org.apache.spark.sql.delta.OptimisticTransaction.commitIfNeeded(OptimisticTransaction.scala:142)\n\tat org.apache.spark.sql.delta.commands.WriteIntoDelta.$anonfun$run$1(WriteIntoDelta.scala:112)\n\tat org.apache.spark.sql.delta.commands.WriteIntoDelta.$anonfun$run$1$adapted(WriteIntoDelta.scala:100)\n\tat org.apache.spark.sql.delta.DeltaLog.withNewTransaction(DeltaLog.scala:223)\n\tat org.apache.spark.sql.delta.commands.WriteIntoDelta.run(WriteIntoDelta.scala:100)\n\tat org.apache.spark.sql.delta.sources.DeltaDataSource.createRelation(DeltaDataSource.scala:201)\n\tat org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)\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$.$anonfun$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$transformDownWithPruning(LogicalPlan.scala:32)\n\tat org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)\n\tat org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(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.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:142)\n\tat org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:859)\n\tat org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:388)\n\tat org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:304)\n\tat org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:240)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.base/java.lang.reflect.Method.invoke(Method.java:566)\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(CallCommand.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:829)\n", |
caldempsey
commented
Mar 2, 2024
| @@ -48,7 +48,6 @@ services: | |||
| ports: | |||
| - '8890:8888' | |||
| volumes: | |||
| - ./../../notebook-data-lake/data:/data | |||
There was a problem hiding this comment.
this causes the issue, adding this line back everything works fine. shouldn't be this way because this is the jupyter notebook. not the cluster.
caldempsey
commented
Mar 5, 2024
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Attempts to fix #3