[jira] [Resolved] (SPARK-8624) DataFrameReader doesn't respect MERGE_SCHEMA setting for Parquet

["Xiao Li (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li resolved SPARK-8624.
----------------------------
    Resolution: Won't Fix

> DataFrameReader doesn't respect MERGE_SCHEMA setting for Parquet
> ----------------------------------------------------------------
>
>                 Key: SPARK-8624
>                 URL: https://issues.apache.org/jira/browse/SPARK-8624
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.0
>            Reporter: Rex Xiong
>              Labels: parquet
>
> In 1.4.0, parquet is read by DataFrameReader.parquet, when creating ParquetRelation2 object, "parameters" is hard-coded as "Map.empty[String, String]", so ParquetRelation2.shouldMergeSchemas is always true (the default value).
> In previous version, spark.sql.hive.convertMetastoreParquet.mergeSchema config is respected.
> This bug downgrade performance a lot for a folder with hundreds of parquet files and we don't want a schema merge.



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