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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2017/09/14 16:28:00 UTC
[jira] [Updated] (SPARK-21997) Spark shows different results on
char/varchar columns on Parquet
[ https://issues.apache.org/jira/browse/SPARK-21997?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-21997:
----------------------------------
Description:
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}
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}
was:
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}
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|
+----------+---+
scala> spark.version
res3: String = 2.2.0
{code}
> 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.
> 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}
> 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}
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