Dongjoon Hyun created SPARK-21997: ------------------------------------- Summary: Spark shows different results on Hive char/varchar columns Key: SPARK-21997 URL: https://issues.apache.org/jira/browse/SPARK-21997 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 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. For ORC, the default of `spark.sql.hive.convertMetastoreParquet` is false, so SPARK-19459 didn't resolve this together. {code} hive> CREATE TABLE t_char(a CHAR(10), b VARCHAR(10)) STORED AS parquet; hive> INSERT INTO TABLE t_char SELECT 'a', 'b' FROM (SELECT 1) t; 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| +----------+---+ scala> spark.version res3: String = 2.2.0 {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