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https://issues.apache.org/jira/browse/SPARK-11103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14990793#comment-14990793
]
Reynold Xin commented on SPARK-11103:
-------------------------------------
I think this was included in 1.5.2
> Parquet filters push-down may cause exception when schema merging is turned on
> ------------------------------------------------------------------------------
>
> Key: SPARK-11103
> URL: https://issues.apache.org/jira/browse/SPARK-11103
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.1
> Reporter: Dominic Ricard
> Assignee: Hyukjin Kwon
> Priority: Blocker
> Fix For: 1.5.2, 1.6.0
>
>
> 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:*
> {noformat}
> 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;
> {noformat}
> The last select will output the following Stack Trace:
> {noformat}
> 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.
> {noformat}
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