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https://issues.apache.org/jira/browse/SPARK-20144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15956030#comment-15956030
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Li Jin commented on SPARK-20144:
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> When you save the sorted data into Parquet, only the data in individual
> Parquet file can maintain the data ordering
This is something changed in Spark 2 as well? write.parquet doesn't write
parquet files in the order of partitions any more?
> spark.read.parquet no long maintains ordering of the data
> ---------------------------------------------------------
>
> Key: SPARK-20144
> URL: https://issues.apache.org/jira/browse/SPARK-20144
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2
> Reporter: Li Jin
>
> Hi, We are trying to upgrade Spark from 1.6.3 to 2.0.2. One issue we found is
> when we read parquet files in 2.0.2, the ordering of rows in the resulting
> dataframe is not the same as the ordering of rows in the dataframe that the
> parquet file was reproduced with.
> This is because FileSourceStrategy.scala combines the parquet files into
> fewer partitions and also reordered them. This breaks our workflows because
> they assume the ordering of the data.
> Is this considered a bug? Also FileSourceStrategy and FileSourceScanExec
> changed quite a bit from 2.0.2 to 2.1, so not sure if this is an issue with
> 2.1.
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