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  1. Spark
  2. SPARK-25879

Schema pruning fails when a nested field and top level field are selected

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Duplicate
    • 2.4.0
    • None
    • SQL
    • None

    Description

      If we select a nested field and a top level field, the schema pruning will fail. Here is the reproducible test,
       

        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>")
  }

      and the exception is

      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

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          duplicates

          Bug - A problem which impairs or prevents the functions of the product. SPARK-25407 Spark throws a `ParquetDecodingException` when attempting to read a field from a complex type in certain cases of schema merging

          • Major - Major loss of function.
          • Resolved
          relates to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-4502 Spark SQL reads unneccesary nested fields from Parquet

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved

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              Unassigned Unassigned
              dbtsai DB Tsai
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              Dates

                Created:
                Updated:
                Resolved: