You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/02/11 22:52:02 UTC
[jira] [Assigned] (SPARK-23372) Writing empty struct in parquet
fails during execution. It should fail earlier during analysis.
[ https://issues.apache.org/jira/browse/SPARK-23372?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-23372:
------------------------------------
Assignee: Apache Spark
> Writing empty struct in parquet fails during execution. It should fail earlier during analysis.
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-23372
> URL: https://issues.apache.org/jira/browse/SPARK-23372
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Dilip Biswal
> Assignee: Apache Spark
> Priority: Minor
>
> *Running*
> spark.emptyDataFrame.write.format("parquet").mode("overwrite").save(path)
> *Results in*
> {code:java}
> org.apache.parquet.schema.InvalidSchemaException: Cannot write a schema with an empty group: message spark_schema {
> }
> at org.apache.parquet.schema.TypeUtil$1.visit(TypeUtil.java:27)
> at org.apache.parquet.schema.TypeUtil$1.visit(TypeUtil.java:37)
> at org.apache.parquet.schema.MessageType.accept(MessageType.java:58)
> at org.apache.parquet.schema.TypeUtil.checkValidWriteSchema(TypeUtil.java:23)
> at org.apache.parquet.hadoop.ParquetFileWriter.<init>(ParquetFileWriter.java:225)
> at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:342)
> at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:302)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWriter.scala:37)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFileFormat.scala:151)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:376)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:387)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:278)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:276)
> at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:281)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:206)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:205)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> 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.
> {code}
> We should detect this earlier and failed during compilation of the query.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org