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Posted to issues@spark.apache.org by "Wang Haihua (JIRA)" <ji...@apache.org> on 2017/06/11 08:49:18 UTC
[jira] [Updated] (SPARK-21054) Reset Command support reset specific
property which is compatible with Hive
[ https://issues.apache.org/jira/browse/SPARK-21054?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wang Haihua updated SPARK-21054:
--------------------------------
Description:
When we transfer our SQL in production from Hive to SparkSQL, we found some SQL like {{reset dfs.blocksize;}} will throw error in SparkSQL.
We found cause is,
after SPARK-15330, Spark 2.0.0 support Reset command wich will Reset all properties.
But after Hive 2.1.1 (HIVE-14418), Hive also support Reset Command for specific property.
SQL compatibility with Hive will ease user more, and lower the cost that transfer SQL from Hive to SparkSQL.
was:
When we transfer our SQL in production from Hive to SparkSQL, we found some SQL like {{reset dfs.blocksize;}} will throw error in SparkSQL.
We found cause is,
after SPARK-15330, Spark 2.0.0 support Reset command wich will Reset all properties.
But after Hive 2.1.1 (HIVE-14418), Hive also support Reset Command for specific property.
SQL compatibility with Hive will ease user more, lower the cost that transfer SQL from Hive to SparkSQL.
> Reset Command support reset specific property which is compatible with Hive
> ---------------------------------------------------------------------------
>
> Key: SPARK-21054
> URL: https://issues.apache.org/jira/browse/SPARK-21054
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.1.1
> Reporter: Wang Haihua
> Priority: Minor
> Fix For: 2.1.1
>
>
> When we transfer our SQL in production from Hive to SparkSQL, we found some SQL like {{reset dfs.blocksize;}} will throw error in SparkSQL.
> We found cause is,
> after SPARK-15330, Spark 2.0.0 support Reset command wich will Reset all properties.
> But after Hive 2.1.1 (HIVE-14418), Hive also support Reset Command for specific property.
> SQL compatibility with Hive will ease user more, and lower the cost that transfer SQL from Hive to SparkSQL.
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