You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/01/12 01:52:16 UTC
[jira] [Resolved] (SPARK-8128) Schema Merging Broken: Dataframe
Fails to Recognize Column in Schema
[ https://issues.apache.org/jira/browse/SPARK-8128?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-8128.
---------------------------------
Resolution: Duplicate
I am pretty sure that it duplicates SPARK-11103. Please reopen this if anyone meets the same problem.
> Schema Merging Broken: Dataframe Fails to Recognize Column in Schema
> --------------------------------------------------------------------
>
> Key: SPARK-8128
> URL: https://issues.apache.org/jira/browse/SPARK-8128
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Spark Core
> Affects Versions: 1.3.0, 1.3.1, 1.4.0
> Reporter: Brad Willard
>
> I'm loading a folder of parquet files with about 600 parquet files and loading it into one dataframe so schema merging is involved. There is some bug with the schema merging that you print the schema and it shows all the attributes. However when you run a query and filter on that attribute is errors saying it's not in the schema. The query is incorrectly going to one of the parquet files that does not have that attribute.
> sdf = sql_context.parquet('/parquet/big_data_folder')
> sdf.printSchema()
> root
> \|-- _id: string (nullable = true)
> \|-- addedOn: string (nullable = true)
> \|-- attachment: string (nullable = true)
> .......
> \|-- items: array (nullable = true)
> \| |-- element: struct (containsNull = true)
> \| | |-- _id: string (nullable = true)
> \| | |-- addedOn: string (nullable = true)
> \| | |-- authorId: string (nullable = true)
> \| | |-- mediaProcessingState: long (nullable = true)
> \|-- mediaProcessingState: long (nullable = true)
> \|-- title: string (nullable = true)
> \|-- key: string (nullable = true)
> sdf.filter(sdf.mediaProcessingState == 3).count()
> causes this exception
> Py4JJavaError: An error occurred while calling o67.count.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 1106 in stage 4.0 failed 30 times, most recent failure: Lost task 1106.29 in stage 4.0 (TID 70565, XXXXXXXXXXXXXXX): java.lang.IllegalArgumentException: Column [mediaProcessingState] was not found in schema!
> at parquet.Preconditions.checkArgument(Preconditions.java:47)
> at parquet.filter2.predicate.SchemaCompatibilityValidator.getColumnDescriptor(SchemaCompatibilityValidator.java:172)
> at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumn(SchemaCompatibilityValidator.java:160)
> at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumnFilterPredicate(SchemaCompatibilityValidator.java:142)
> at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:76)
> at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:41)
> at parquet.filter2.predicate.Operators$Eq.accept(Operators.java:162)
> at parquet.filter2.predicate.SchemaCompatibilityValidator.validate(SchemaCompatibilityValidator.java:46)
> at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:41)
> at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:22)
> at parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:108)
> at parquet.filter2.compat.RowGroupFilter.filterRowGroups(RowGroupFilter.java:28)
> at parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:158)
> at parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:138)
> at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:133)
> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:104)
> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:66)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
> 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)
> You also get the same error if you register it as a temp table and try to execute the same sql query.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org