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https://issues.apache.org/jira/browse/HUDI-3268?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17478216#comment-17478216
]
Ethan Guo commented on HUDI-3268:
---------------------------------
New stack trace:
{code:java}
scala> val basePath = "/tmp/hoodie/hudi-test-topic"
basePath: String = /tmp/hoodie/hudi-test-topic
scala> val df = spark.read.format("hudi").load(basePath)
df: org.apache.spark.sql.DataFrame = [_hoodie_commit_time: string,
_hoodie_commit_seqno: string ... 15 more fields]
scala> df.count
java.lang.NullPointerException
at
org.apache.hudi.SparkHoodieTableFileIndex._partitionSchemaFromProperties$lzycompute(SparkHoodieTableFileIndex.scala:83)
at
org.apache.hudi.SparkHoodieTableFileIndex._partitionSchemaFromProperties(SparkHoodieTableFileIndex.scala:77)
at
org.apache.hudi.SparkHoodieTableFileIndex.partitionSchema(SparkHoodieTableFileIndex.scala:118)
at
org.apache.hudi.SparkHoodieTableFileIndex.parsePartitionColumnValues(SparkHoodieTableFileIndex.scala:218)
at
org.apache.hudi.AbstractHoodieTableFileIndex.$anonfun$getAllQueryPartitionPaths$2(AbstractHoodieTableFileIndex.scala:229)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at
org.apache.hudi.AbstractHoodieTableFileIndex.getAllQueryPartitionPaths(AbstractHoodieTableFileIndex.scala:228)
at
org.apache.hudi.AbstractHoodieTableFileIndex.loadPartitionPathFiles(AbstractHoodieTableFileIndex.scala:184)
at
org.apache.hudi.AbstractHoodieTableFileIndex.refresh0(AbstractHoodieTableFileIndex.scala:107)
at
org.apache.hudi.AbstractHoodieTableFileIndex.<init>(AbstractHoodieTableFileIndex.scala:87)
at
org.apache.hudi.SparkHoodieTableFileIndex.<init>(SparkHoodieTableFileIndex.scala:59)
at org.apache.hudi.HoodieFileIndex.<init>(HoodieFileIndex.scala:70)
at
org.apache.hudi.MergeOnReadSnapshotRelation.buildFileIndex(MergeOnReadSnapshotRelation.scala:192)
at
org.apache.hudi.MergeOnReadSnapshotRelation.buildScan(MergeOnReadSnapshotRelation.scala:111)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.$anonfun$apply$4(DataSourceStrategy.scala:323)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.$anonfun$pruneFilterProject$1(DataSourceStrategy.scala:357)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFilterProjectRaw(DataSourceStrategy.scala:413)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFilterProject(DataSourceStrategy.scala:356)
at
org.apache.spark.sql.execution.datasources.DataSourceStrategy$.apply(DataSourceStrategy.scala:323)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$1(QueryPlanner.scala:63)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
at
org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:68)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:196)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:194)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:199)
at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:192)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1431)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
at
org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:68)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:196)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:194)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:199)
at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:192)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1431)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
at
org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:68)
at
org.apache.spark.sql.execution.QueryExecution$.createSparkPlan(QueryExecution.scala:468)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$sparkPlan$2(QueryExecution.scala:157)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:196)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:196)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$sparkPlan$1(QueryExecution.scala:157)
at
org.apache.spark.sql.execution.QueryExecution.withCteMap(QueryExecution.scala:73)
at
org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:150)
at
org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:150)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executedPlan$2(QueryExecution.scala:170)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:196)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:196)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executedPlan$1(QueryExecution.scala:170)
at
org.apache.spark.sql.execution.QueryExecution.withCteMap(QueryExecution.scala:73)
at
org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:163)
at
org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:163)
at
org.apache.spark.sql.execution.QueryExecution.simpleString(QueryExecution.scala:214)
at
org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$explainString(QueryExecution.scala:259)
at
org.apache.spark.sql.execution.QueryExecution.explainString(QueryExecution.scala:228)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:98)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3704)
at org.apache.spark.sql.Dataset.count(Dataset.scala:3011)
... 47 elided {code}
> Spark datasource cannot read MOR table written by Kafka Connect Sink
> --------------------------------------------------------------------
>
> Key: HUDI-3268
> URL: https://issues.apache.org/jira/browse/HUDI-3268
> Project: Apache Hudi
> Issue Type: Bug
> Reporter: Ethan Guo
> Assignee: Ethan Guo
> Priority: Blocker
> Fix For: 0.11.0
>
>
> I'm hitting this on master with spark datasource reading MOR table from Kafka
> Connect Sink:
> {code:java}
> scala> val basePath = "/tmp/hoodie/hudi-test-topic"
> basePath: String = /tmp/hoodie/hudi-test-topic
> scala> val df = spark.read.format("hudi").load(basePath)
> org.apache.hudi.spark.org.apache.spark.sql.avro.IncompatibleSchemaException:
> Unexpected type null.
> at
> org.apache.hudi.spark.org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:199)
> at
> org.apache.hudi.MergeOnReadSnapshotRelation.liftedTree1$1(MergeOnReadSnapshotRelation.scala:74)
> at
> org.apache.hudi.MergeOnReadSnapshotRelation.tableAvroSchema$lzycompute(MergeOnReadSnapshotRelation.scala:69)
> at
> org.apache.hudi.MergeOnReadSnapshotRelation.tableAvroSchema(MergeOnReadSnapshotRelation.scala:68)
> at
> org.apache.hudi.MergeOnReadSnapshotRelation.tableStructSchema$lzycompute(MergeOnReadSnapshotRelation.scala:78)
> at
> org.apache.hudi.MergeOnReadSnapshotRelation.tableStructSchema(MergeOnReadSnapshotRelation.scala:78)
> at
> org.apache.hudi.MergeOnReadSnapshotRelation.schema(MergeOnReadSnapshotRelation.scala:97)
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:440)
> at
> org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274)
> at
> org.apache.spark.sql.DataFrameReader.$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}
> I hit the same exception on Spark 2.4.4, 3.1.2, 3.2.0
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