[
https://issues.apache.org/jira/browse/SPARK-21997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16166539#comment-16166539
]
Apache Spark commented on SPARK-21997:
--------------------------------------
User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/19235
> 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
>
> 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: [email protected]
For additional commands, e-mail: [email protected]
