[jira] [Assigned] (SPARK-40212) SparkSQL castPartValue does not properly handle byte & short
[ https://issues.apache.org/jira/browse/SPARK-40212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-40212: Assignee: Brennan Stein > SparkSQL castPartValue does not properly handle byte & short > > > Key: SPARK-40212 > URL: https://issues.apache.org/jira/browse/SPARK-40212 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.3.0 >Reporter: Brennan Stein >Assignee: Brennan Stein >Priority: Major > > Reading in a parquet file partitioned on disk by a `Byte`-type column fails > with the following exception: > > {code:java} > [info] Cause: java.lang.ClassCastException: java.lang.Integer cannot be > cast to java.lang.Byte > [info] at scala.runtime.BoxesRunTime.unboxToByte(BoxesRunTime.java:95) > [info] at > org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getByte(rows.scala:39) > [info] at > org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getByte$(rows.scala:39) > [info] at > org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getByte(rows.scala:195) > [info] at > org.apache.spark.sql.catalyst.expressions.JoinedRow.getByte(JoinedRow.scala:86) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_0_6$(Unknown > Source) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown > Source) > [info] at > org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$8(ParquetFileFormat.scala:385) > [info] at > org.apache.spark.sql.execution.datasources.RecordReaderIterator$$anon$1.next(RecordReaderIterator.scala:62) > [info] at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.next(FileScanRDD.scala:189) > [info] at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown > Source) > [info] at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > [info] at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) > [info] at > org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364) > [info] at > org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890) > [info] at > org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890) > [info] at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > [info] at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > [info] at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) > [info] at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > [info] at org.apache.spark.scheduler.Task.run(Task.scala:136) > [info] at > org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) > [info] at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504) > [info] at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) > [info] at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > [info] at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > [info] at java.lang.Thread.run(Thread.java:748) {code} > I believe the issue to stem from > [PartitioningUtils::castPartValueToDesiredType|https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala#L533] > returning an Integer for ByteType and ShortType (which then fails to unbox > to the expected type): > > {code:java} > case ByteType | ShortType | IntegerType => Integer.parseInt(value) {code} > > The issue appears to have been introduced in [this > commit|https://github.com/apache/spark/commit/fc29c91f27d866502f5b6cc4261d4943b57e] > so likely affects Spark 3.2 as well, though I've only tested on 3.3.0. > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-40212) SparkSQL castPartValue does not properly handle byte & short
[ https://issues.apache.org/jira/browse/SPARK-40212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-40212: Assignee: Apache Spark > SparkSQL castPartValue does not properly handle byte & short > > > Key: SPARK-40212 > URL: https://issues.apache.org/jira/browse/SPARK-40212 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.3.0 >Reporter: Brennan Stein >Assignee: Apache Spark >Priority: Major > > Reading in a parquet file partitioned on disk by a `Byte`-type column fails > with the following exception: > > {code:java} > [info] Cause: java.lang.ClassCastException: java.lang.Integer cannot be > cast to java.lang.Byte > [info] at scala.runtime.BoxesRunTime.unboxToByte(BoxesRunTime.java:95) > [info] at > org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getByte(rows.scala:39) > [info] at > org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getByte$(rows.scala:39) > [info] at > org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getByte(rows.scala:195) > [info] at > org.apache.spark.sql.catalyst.expressions.JoinedRow.getByte(JoinedRow.scala:86) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_0_6$(Unknown > Source) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown > Source) > [info] at > org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$8(ParquetFileFormat.scala:385) > [info] at > org.apache.spark.sql.execution.datasources.RecordReaderIterator$$anon$1.next(RecordReaderIterator.scala:62) > [info] at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.next(FileScanRDD.scala:189) > [info] at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown > Source) > [info] at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > [info] at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) > [info] at > org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364) > [info] at > org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890) > [info] at > org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890) > [info] at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > [info] at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > [info] at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) > [info] at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > [info] at org.apache.spark.scheduler.Task.run(Task.scala:136) > [info] at > org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) > [info] at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504) > [info] at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) > [info] at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > [info] at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > [info] at java.lang.Thread.run(Thread.java:748) {code} > I believe the issue to stem from > [PartitioningUtils::castPartValueToDesiredType|https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala#L533] > returning an Integer for ByteType and ShortType (which then fails to unbox > to the expected type): > > {code:java} > case ByteType | ShortType | IntegerType => Integer.parseInt(value) {code} > > The issue appears to have been introduced in [this > commit|https://github.com/apache/spark/commit/fc29c91f27d866502f5b6cc4261d4943b57e] > so likely affects Spark 3.2 as well, though I've only tested on 3.3.0. > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-40212) SparkSQL castPartValue does not properly handle byte & short
[ https://issues.apache.org/jira/browse/SPARK-40212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-40212: Assignee: (was: Apache Spark) > SparkSQL castPartValue does not properly handle byte & short > > > Key: SPARK-40212 > URL: https://issues.apache.org/jira/browse/SPARK-40212 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.3.0 >Reporter: Brennan Stein >Priority: Major > > Reading in a parquet file partitioned on disk by a `Byte`-type column fails > with the following exception: > > {code:java} > [info] Cause: java.lang.ClassCastException: java.lang.Integer cannot be > cast to java.lang.Byte > [info] at scala.runtime.BoxesRunTime.unboxToByte(BoxesRunTime.java:95) > [info] at > org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getByte(rows.scala:39) > [info] at > org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getByte$(rows.scala:39) > [info] at > org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getByte(rows.scala:195) > [info] at > org.apache.spark.sql.catalyst.expressions.JoinedRow.getByte(JoinedRow.scala:86) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_0_6$(Unknown > Source) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown > Source) > [info] at > org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$8(ParquetFileFormat.scala:385) > [info] at > org.apache.spark.sql.execution.datasources.RecordReaderIterator$$anon$1.next(RecordReaderIterator.scala:62) > [info] at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.next(FileScanRDD.scala:189) > [info] at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) > [info] at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown > Source) > [info] at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > [info] at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) > [info] at > org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364) > [info] at > org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890) > [info] at > org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890) > [info] at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > [info] at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > [info] at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) > [info] at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > [info] at org.apache.spark.scheduler.Task.run(Task.scala:136) > [info] at > org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) > [info] at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504) > [info] at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) > [info] at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > [info] at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > [info] at java.lang.Thread.run(Thread.java:748) {code} > I believe the issue to stem from > [PartitioningUtils::castPartValueToDesiredType|https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala#L533] > returning an Integer for ByteType and ShortType (which then fails to unbox > to the expected type): > > {code:java} > case ByteType | ShortType | IntegerType => Integer.parseInt(value) {code} > > The issue appears to have been introduced in [this > commit|https://github.com/apache/spark/commit/fc29c91f27d866502f5b6cc4261d4943b57e] > so likely affects Spark 3.2 as well, though I've only tested on 3.3.0. > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org