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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/06/12 01:18:00 UTC

[jira] [Updated] (SPARK-8315) Better error when saving to parquet with duplicate columns

     [ https://issues.apache.org/jira/browse/SPARK-8315?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust updated SPARK-8315:
------------------------------------
    Description: 
Parquet allows you to silently write out files with duplicate column names and then emits a very confusing error when trying to read the data back in:

{code}
Error in SQL statement: java.lang.RuntimeException: org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 21.0 failed 4 times, most recent failure: Lost task 4.3 in stage 21.0 (TID 2767, ip-10-0-253-59.ec2.internal): parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file ...
{code}

We should throw a better error before attempting to write out an invalid file.

  was:
Parquet allows you to silently write out files with duplicate column names and then emits a very confusing error when trying to read the data back in:

{{{
Error in SQL statement: java.lang.RuntimeException: org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 21.0 failed 4 times, most recent failure: Lost task 4.3 in stage 21.0 (TID 2767, ip-10-0-253-59.ec2.internal): parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file ...
}}}

We should throw a better error before attempting to write out an invalid file.


> Better error when saving to parquet with duplicate columns
> ----------------------------------------------------------
>
>                 Key: SPARK-8315
>                 URL: https://issues.apache.org/jira/browse/SPARK-8315
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Michael Armbrust
>            Priority: Critical
>
> Parquet allows you to silently write out files with duplicate column names and then emits a very confusing error when trying to read the data back in:
> {code}
> Error in SQL statement: java.lang.RuntimeException: org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 21.0 failed 4 times, most recent failure: Lost task 4.3 in stage 21.0 (TID 2767, ip-10-0-253-59.ec2.internal): parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file ...
> {code}
> We should throw a better error before attempting to write out an invalid file.



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