[SPARK-10005] Parquet reader doesn't handle schema merging properly for nested structs

• Type: Bug
• Status: Resolved
• Priority: Blocker
• Resolution: Fixed
• Affects Version/s: 1.5.0
• Fix Version/s: 1.5.0
• Component/s: SQL
• Target Version/s: 1.5.0
• Sprint: Spark 1.5 doc/QA sprint
• Assignee: Cheng Lian
• Reporter: Cheng Lian
• Created: 15/Aug/15 00:43
• Updated: 26/Aug/15 21:13
• Resolved: 16/Aug/15 17:18

Description

Spark shell snippet to reproduce this issue (note that both DataFrame written below contain a single struct column with multiple fields):

import sqlContext.implicits._

val path = "file:///tmp/foo"

(0 until 3).map(i => Tuple1((s"a_$i", s"b_$i"))).toDF().coalesce(1).write.mode("overwrite").parquet(path)
(0 until 3).map(i => Tuple1((s"a_$i", s"b_$i", s"c_$i"))).toDF().coalesce(1).write.mode("append").parquet(path)

sqlContext.read.option("schemaMerging", "true").parquet(path).show()

Exception:

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 39.0 failed 1 times, most recent failure: Lost task 0.0 in stage 39.0 (TID 122, localhost): org.apache.parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file file:/tmp/foo/part-r-00000-ba9dc7cf-3210-4006-9cf7-02c3d57483cd.gz.parquet
        at org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:228)
        at org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:201)
        at org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.hasNext(SqlNewHadoopRDD.scala:168)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308)
        at scala.collection.Iterator$class.foreach(Iterator.scala:727)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
        at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
        at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
        at scala.collection.AbstractIterator.to(Iterator.scala:1157)
        at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
        at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
        at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
        at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1826)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1826)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
        at org.apache.spark.scheduler.Task.run(Task.scala:88)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.ArrayIndexOutOfBoundsException: 2
        at org.apache.spark.sql.execution.datasources.parquet.CatalystRowConverter.getConverter(CatalystRowConverter.scala:136)
        at org.apache.parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:269)
        at org.apache.parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:134)
        at org.apache.parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:99)
        at org.apache.parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:154)
        at org.apache.parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:99)
        at org.apache.parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:137)
        at org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:208)
        ... 25 more

Issue Links

• relates to: SPARK-10301 For struct type, if parquet's global schema has less fields than a file's schema, data reading will fail
• links to: [Github] Pull Request #8228 (liancheng)