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Wenchen Fan commented on SPARK-21997: ------------------------------------- I think a simple fix is to disable `convertMetastoreParquet` if there are varchar type columns. > Spark shows different results on char/varchar columns on Parquet > ---------------------------------------------------------------- > > Key: SPARK-21997 > URL: https://issues.apache.org/jira/browse/SPARK-21997 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.2, 2.1.1, 2.2.0 > Reporter: Dongjoon Hyun > > SPARK-19459 resolves CHAR/VARCHAR issues in general, but Spark shows > different results according to the SQL configuration, > *spark.sql.hive.convertMetastoreParquet*. We had better fix this. Actually, > the default of `spark.sql.hive.convertMetastoreParquet` is true, so the > result is wrong by default. > {code} > scala> sql("CREATE TABLE t_char(a CHAR(10), b VARCHAR(10)) STORED AS parquet") > scala> sql("INSERT INTO TABLE t_char SELECT 'a', 'b'") > scala> sql("SELECT * FROM t_char").show > +---+---+ > | a| b| > +---+---+ > | a| b| > +---+---+ > scala> sql("set spark.sql.hive.convertMetastoreParquet=false") > scala> sql("SELECT * FROM t_char").show > +----------+---+ > | a| b| > +----------+---+ > |a | b| > +----------+---+ > {code} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org