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Hyukjin Kwon commented on SPARK-25879: -------------------------------------- Shell we leave this resolved as a duplicate of SPARK-25407 since the PR is already open for that? > Schema pruning fails when a nested field and top level field are selected > ------------------------------------------------------------------------- > > Key: SPARK-25879 > URL: https://issues.apache.org/jira/browse/SPARK-25879 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.4.0 > Reporter: DB Tsai > Priority: Major > > If we select a nested field and a top level field, the schema pruning will > fail. Here is the reproducible test, > > {code:java} > testSchemaPruning("select a single complex field and a top level field") { > val query = sql("select * from contacts") > .select("name.middle", "address") > query.explain(true) > query.printSchema() > query.show() > checkScan(query, "struct<name:struct<middle:string>,address:string>") > } > {code} > and the exception is > {code:java} > 23:16:05.864 ERROR org.apache.spark.executor.Executor: Exception in task 1.0 > in stage 3.0 (TID 6) > org.apache.spark.sql.execution.QueryExecutionException: Encounter error while > reading parquet files. One possible cause: Parquet column cannot be converted > in the corresponding files. Details: > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:193) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$11$$anon$1.hasNext(WholeStageCodegenExec.scala:674) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:850) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:850) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:325) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:289) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > at org.apache.spark.scheduler.Task.run(Task.scala:121) > at > org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:419) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:425) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > Caused by: org.apache.parquet.io.ParquetDecodingException: Can not read value > at 0 in block -1 in file > file:/private/var/folders/pr/4q3b9vkx36lbygjr5jhfmjcw0000gn/T/spark-a4fff68d-d51a-4c79-aa18-54cfd7f81a75/contacts/p=2/part-00000-8a4d9396-7be3-4fed-a55a-5580684ebda6-c000.snappy.parquet > at > org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:251) > at > org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:207) > at > org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:181) > ... 19 more > Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0 > at java.util.ArrayList.rangeCheck(ArrayList.java:657) > at java.util.ArrayList.get(ArrayList.java:433) > at org.apache.parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99) > at org.apache.parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99) > at > org.apache.parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:97) > at > org.apache.parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:92) > at > org.apache.parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:278) > at > org.apache.parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:147) > at > org.apache.parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:109) > at > org.apache.parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:165) > at > org.apache.parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:109) > at > org.apache.parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:137) > at > org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:222) > ... 24 more > 23:16:05.896 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in > stage 3.0 (TID 6, localhost, executor driver): > org.apache.spark.sql.execution.QueryExecutionException: Encounter error while > reading parquet files. One possible cause: Parquet column cannot be converted > in the corresponding files. Details: > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:193) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$11$$anon$1.hasNext(WholeStageCodegenExec.scala:674) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:850) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:850) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:325) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:289) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > at org.apache.spark.scheduler.Task.run(Task.scala:121) > at > org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:419) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:425) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > Caused by: org.apache.parquet.io.ParquetDecodingException: Can not read value > at 0 in block -1 in file > file:/private/var/folders/pr/4q3b9vkx36lbygjr5jhfmjcw0000gn/T/spark-a4fff68d-d51a-4c79-aa18-54cfd7f81a75/contacts/p=2/part-00000-8a4d9396-7be3-4fed-a55a-5580684ebda6-c000.snappy.parquet > at > org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:251) > at > org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:207) > at > org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:181) > ... 19 more > Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0 > at java.util.ArrayList.rangeCheck(ArrayList.java:657) > at java.util.ArrayList.get(ArrayList.java:433) > at org.apache.parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99) > at org.apache.parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99) > at > org.apache.parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:97) > at > org.apache.parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:92) > at > org.apache.parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:278) > at > org.apache.parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:147) > at > org.apache.parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:109) > at > org.apache.parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:165) > at > org.apache.parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:109) > at > org.apache.parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:137) > at > org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:222) > ... 24 more > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org