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Posted to commits@hudi.apache.org by "Ethan Guo (Jira)" <ji...@apache.org> on 2022/09/29 16:35:00 UTC
[jira] [Commented] (HUDI-4855) Bootstrap table from Deltastreamer cannot be read in Spark
[ https://issues.apache.org/jira/browse/HUDI-4855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17611128#comment-17611128 ]
Ethan Guo commented on HUDI-4855:
---------------------------------
When running bootstrap IT for the PR, the spark datasource read fails at the latest master due to the exception:
{code:java}
22/09/29 07:34:40 ERROR executor.Executor: Exception in task 0.0 in stage 3.0 (TID 200)
java.io.IOException: Required column is missing in data file. Col: [symbol]
at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initializeInternal(VectorizedParquetRecordReader.java:292)
at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:132)
at org.apache.spark.sql.execution.datasources.parquet.Spark24HoodieParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(Spark24HoodieParquetFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.parquet.Spark24HoodieParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(Spark24HoodieParquetFileFormat.scala:111)
at org.apache.hudi.HoodieDataSourceHelper$$anonfun$buildHoodieParquetReader$1.apply(HoodieDataSourceHelper.scala:71)
at org.apache.hudi.HoodieDataSourceHelper$$anonfun$buildHoodieParquetReader$1.apply(HoodieDataSourceHelper.scala:70)
at org.apache.hudi.HoodieBootstrapRDD.compute(HoodieBootstrapRDD.scala:66)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
[Stage 3:> (0 + 1) / 1]22/09/29 07:34:40 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 3.0 (TID 200, localhost, executor driver): java.io.IOException: Required column is missing in data file. Col: [symbol]
at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initializeInternal(VectorizedParquetRecordReader.java:292)
at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:132)
at org.apache.spark.sql.execution.datasources.parquet.Spark24HoodieParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(Spark24HoodieParquetFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.parquet.Spark24HoodieParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(Spark24HoodieParquetFileFormat.scala:111)
at org.apache.hudi.HoodieDataSourceHelper$$anonfun$buildHoodieParquetReader$1.apply(HoodieDataSourceHelper.scala:71)
at org.apache.hudi.HoodieDataSourceHelper$$anonfun$buildHoodieParquetReader$1.apply(HoodieDataSourceHelper.scala:70)
at org.apache.hudi.HoodieBootstrapRDD.compute(HoodieBootstrapRDD.scala:66)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)22/09/29 07:34:40 ERROR scheduler.TaskSetManager: Task 0 in stage 3.0 failed 1 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 200, localhost, executor driver): java.io.IOException: Required column is missing in data file. Col: [symbol]
at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initializeInternal(VectorizedParquetRecordReader.java:292)
at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:132)
at org.apache.spark.sql.execution.datasources.parquet.Spark24HoodieParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(Spark24HoodieParquetFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.parquet.Spark24HoodieParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(Spark24HoodieParquetFileFormat.scala:111)
at org.apache.hudi.HoodieDataSourceHelper$$anonfun$buildHoodieParquetReader$1.apply(HoodieDataSourceHelper.scala:71)
at org.apache.hudi.HoodieDataSourceHelper$$anonfun$buildHoodieParquetReader$1.apply(HoodieDataSourceHelper.scala:70)
at org.apache.hudi.HoodieBootstrapRDD.compute(HoodieBootstrapRDD.scala:66)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:365)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3389)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2550)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2764)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:254)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:291)
at org.apache.spark.sql.Dataset.show(Dataset.scala:751)
at org.apache.spark.sql.Dataset.show(Dataset.scala:710)
at org.apache.spark.sql.Dataset.show(Dataset.scala:719)
... 49 elided
Caused by: java.io.IOException: Required column is missing in data file. Col: [symbol]
at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initializeInternal(VectorizedParquetRecordReader.java:292)
at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:132)
at org.apache.spark.sql.execution.datasources.parquet.Spark24HoodieParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(Spark24HoodieParquetFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.parquet.Spark24HoodieParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(Spark24HoodieParquetFileFormat.scala:111)
at org.apache.hudi.HoodieDataSourceHelper$$anonfun$buildHoodieParquetReader$1.apply(HoodieDataSourceHelper.scala:71)
at org.apache.hudi.HoodieDataSourceHelper$$anonfun$buildHoodieParquetReader$1.apply(HoodieDataSourceHelper.scala:70)
at org.apache.hudi.HoodieBootstrapRDD.compute(HoodieBootstrapRDD.scala:66)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748) {code}
> Bootstrap table from Deltastreamer cannot be read in Spark
> ----------------------------------------------------------
>
> Key: HUDI-4855
> URL: https://issues.apache.org/jira/browse/HUDI-4855
> Project: Apache Hudi
> Issue Type: Bug
> Components: bootstrap
> Reporter: Ethan Guo
> Assignee: Ethan Guo
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.12.1
>
>
>
> {code:java}
> scala> val df = spark.read.format("hudi").load("<bootstrap_table>")
> org.apache.hudi.exception.HoodieException: No files found for reading in user provided path.
> at org.apache.hudi.HoodieBootstrapRelation.buildFileIndex(HoodieBootstrapRelation.scala:167)
> at org.apache.hudi.HoodieBootstrapRelation.<init>(HoodieBootstrapRelation.scala:65)
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:144)
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:68)
> at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:350)
> at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274)
> at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245)
> at scala.Option.getOrElse(Option.scala:189)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:188)
> ... 47 elided
> {code}
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