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From "Dongjoon Hyun (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-21997) Spark shows different results on Hive char/varchar columns on Parquet
Date Wed, 13 Sep 2017 18:16:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-21997?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dongjoon Hyun updated SPARK-21997:
----------------------------------
    Summary: Spark shows different results on Hive char/varchar columns on Parquet  (was:
Spark shows different results on Hive char/varchar columns)

> 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: 2.2.0
>            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}



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