[ https://issues.apache.org/jira/browse/SPARK-21997?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-21997: ------------------------------------ Assignee: Apache Spark > Spark shows different results on Hive 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 > Assignee: Apache Spark > > 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.convertMetastoreOrc` is false, so > SPARK-19459 didn't resolve this together. For ORC, it will happen if we turn > on it `true`. > {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