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  1. Spark
  2. SPARK-11103

Parquet filters push-down may cause exception when schema merging is turned on

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Details

    • Bug
    • Status: Resolved
    • Blocker
    • Resolution: Fixed
    • 1.5.1
    • 1.5.2, 1.6.0
    • SQL
    • None

    Description

      When evolving a schema in parquet files, spark properly expose all columns found in the different parquet files but when trying to query the data, it is not possible to apply a filter on a column that is not present in all files.

      To reproduce:
      SQL:

      create table `table1` STORED AS PARQUET LOCATION 'hdfs://<SERVER>:<PORT>/path/to/table/id=1/' as select 1 as `col1`;
create table `table2` STORED AS PARQUET LOCATION 'hdfs://<SERVER>:<PORT>/path/to/table/id=2/' as select 1 as `col1`, 2 as `col2`;
create table `table3` USING org.apache.spark.sql.parquet OPTIONS (path "hdfs://<SERVER>:<PORT>/path/to/table");
select col1 from `table3` where col2 = 2;

      The last select will output the following Stack Trace:

      An error occurred when executing the SQL command:
select col1 from `table3` where col2 = 2

[Simba][HiveJDBCDriver](500051) ERROR processing query/statement. Error Code: 0, SQL state: TStatus(statusCode:ERROR_STATUS, infoMessages:[*org.apache.hive.service.cli.HiveSQLException:org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 7212.0 failed 4 times, most recent failure: Lost task 0.3 in stage 7212.0 (TID 138449, 208.92.52.88): java.lang.IllegalArgumentException: Column [col2] was not found in schema!
	at org.apache.parquet.Preconditions.checkArgument(Preconditions.java:55)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.getColumnDescriptor(SchemaCompatibilityValidator.java:190)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumn(SchemaCompatibilityValidator.java:178)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumnFilterPredicate(SchemaCompatibilityValidator.java:160)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:94)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:59)
	at org.apache.parquet.filter2.predicate.Operators$Eq.accept(Operators.java:180)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validate(SchemaCompatibilityValidator.java:64)
	at org.apache.parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:59)
	at org.apache.parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:40)
	at org.apache.parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:126)
	at org.apache.parquet.filter2.compat.RowGroupFilter.filterRowGroups(RowGroupFilter.java:46)
	at org.apache.parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:160)
	at org.apache.parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:140)
	at org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:155)
	at org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:120)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:87)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
	at org.apache.spark.scheduler.Task.run(Task.scala:88)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)

Driver stacktrace::26:25, org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation:runInternal:SparkExecuteStatementOperation.scala:259, org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation:run:SparkExecuteStatementOperation.scala:144, org.apache.hive.service.cli.session.HiveSessionImpl:executeStatementInternal:HiveSessionImpl.java:388, org.apache.hive.service.cli.session.HiveSessionImpl:executeStatement:HiveSessionImpl.java:369, sun.reflect.GeneratedMethodAccessor134:invoke::-1, sun.reflect.DelegatingMethodAccessorImpl:invoke:DelegatingMethodAccessorImpl.java:43, java.lang.reflect.Method:invoke:Method.java:497, org.apache.hive.service.cli.session.HiveSessionProxy:invoke:HiveSessionProxy.java:78, org.apache.hive.service.cli.session.HiveSessionProxy:access$000:HiveSessionProxy.java:36, org.apache.hive.service.cli.session.HiveSessionProxy$1:run:HiveSessionProxy.java:63, java.security.AccessController:doPrivileged:AccessController.java:-2, javax.security.auth.Subject:doAs:Subject.java:422, org.apache.hadoop.security.UserGroupInformation:doAs:UserGroupInformation.java:1628, org.apache.hive.service.cli.session.HiveSessionProxy:invoke:HiveSessionProxy.java:59, com.sun.proxy.$Proxy25:executeStatement::-1, org.apache.hive.service.cli.CLIService:executeStatement:CLIService.java:261, org.apache.hive.service.cli.thrift.ThriftCLIService:ExecuteStatement:ThriftCLIService.java:486, org.apache.hive.service.cli.thrift.TCLIService$Processor$ExecuteStatement:getResult:TCLIService.java:1313, org.apache.hive.service.cli.thrift.TCLIService$Processor$ExecuteStatement:getResult:TCLIService.java:1298, org.apache.thrift.ProcessFunction:process:ProcessFunction.java:39, org.apache.thrift.TBaseProcessor:process:TBaseProcessor.java:39, org.apache.hive.service.auth.TSetIpAddressProcessor:process:TSetIpAddressProcessor.java:56, org.apache.thrift.server.TThreadPoolServer$WorkerProcess:run:TThreadPoolServer.java:285, java.util.concurrent.ThreadPoolExecutor:runWorker:ThreadPoolExecutor.java:1142, java.util.concurrent.ThreadPoolExecutor$Worker:run:ThreadPoolExecutor.java:617, java.lang.Thread:run:Thread.java:745], errorCode:0, errorMessage:org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 7212.0 failed 4 times, most recent failure: Lost task 0.3 in stage 7212.0 (TID 138449, 208.92.52.88): java.lang.IllegalArgumentException: Column [col2] was not found in schema!
	at org.apache.parquet.Preconditions.checkArgument(Preconditions.java:55)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.getColumnDescriptor(SchemaCompatibilityValidator.java:190)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumn(SchemaCompatibilityValidator.java:178)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumnFilterPredicate(SchemaCompatibilityValidator.java:160)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:94)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:59)
	at org.apache.parquet.filter2.predicate.Operators$Eq.accept(Operators.java:180)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validate(SchemaCompatibilityValidator.java:64)
	at org.apache.parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:59)
	at org.apache.parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:40)
	at org.apache.parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:126)
	at org.apache.parquet.filter2.compat.RowGroupFilter.filterRowGroups(RowGroupFilter.java:46)
	at org.apache.parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:160)
	at org.apache.parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:140)
	at org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:155)
	at org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:120)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:87)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
	at org.apache.spark.scheduler.Task.run(Task.scala:88)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:), Query: select col1 from `table3` where col2 = 2. [SQL State=HY000, DB Errorcode=500051]

Execution time: 0.44s

1 statement failed.

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        Issue Links

          is duplicated by

          Bug - A problem which impairs or prevents the functions of the product. SPARK-8128 Schema Merging Broken: Dataframe Fails to Recognize Column in Schema

          • Major - Major loss of function.
          • Resolved

          Bug - A problem which impairs or prevents the functions of the product. SPARK-11428 Schema Merging Broken for Some Queries

          • Major - Major loss of function.
          • Resolved
          is related to

          Bug - A problem which impairs or prevents the functions of the product. PARQUET-389 Filter predicates should work with missing columns

          • Major - Major loss of function.
          • Resolved

          Bug - A problem which impairs or prevents the functions of the product. SPARK-11434 flaky test ParquetFilterSuite.SPARK-11103: Filter applied on merged Parquet schema with new column fails

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

          Pull request #9327 [Github] Pull Request #9327 (HyukjinKwon)

          Pull request #9387 [Github] Pull Request #9387 (yhuai)

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            People

              gurwls223 Hyukjin Kwon
              dricard Dominic Ricard
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              Dates

                Created:
                Updated:
                Resolved: