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https://issues.apache.org/jira/browse/SPARK-6123?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14344278#comment-14344278
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Yin Huai commented on SPARK-6123:
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To workaround this issue, users need to load the existing data (the one with
containsNull=false) and write the data to a new dir.
> Parquet reader should use the schema of every file to create converter
> ----------------------------------------------------------------------
>
> Key: SPARK-6123
> URL: https://issues.apache.org/jira/browse/SPARK-6123
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Yin Huai
>
> For two parquet files for the same table having an array column, if values of
> the array in one file was created when containsNull was true and those in
> another file was created when containsNull was false, the containsNull in the
> merged schema will be true and we cannot correctly read data from the table
> created with containsNull=false.
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