Rex Xiong created SPARK-8624:
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Summary: 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
In 1.4.0, parquet is read by DataFrameReader.parquet, when creating
ParquetRelation2 object, "Map.empty[String, String]" is hard-coded as
"parameters", 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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