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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/12/03 07:12:01 UTC
[jira] [Assigned] (SPARK-22676) Avoid iterating all partition paths
when spark.sql.hive.verifyPartitionPath=true
[ https://issues.apache.org/jira/browse/SPARK-22676?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-22676:
------------------------------------
Assignee: (was: Apache Spark)
> Avoid iterating all partition paths when spark.sql.hive.verifyPartitionPath=true
> --------------------------------------------------------------------------------
>
> Key: SPARK-22676
> URL: https://issues.apache.org/jira/browse/SPARK-22676
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: jin xing
>
> In current code, it will scanning all partition paths when spark.sql.hive.verifyPartitionPath=true.
> e.g. table like below:
> CREATE TABLE `test`(
> `id` int,
> `age` int,
> `name` string)
> PARTITIONED BY (
> `A` string,
> `B` string)
> load data local inpath '/tmp/data1' into table test partition(A='00', B='00')
> load data local inpath '/tmp/data1' into table test partition(A='01', B='01')
> load data local inpath '/tmp/data1' into table test partition(A='10', B='10')
> load data local inpath '/tmp/data1' into table test partition(A='11', B='11')
> If I query with SQL -- "select * from test where year=2017 and month=12 and day=03", current code will scan all partition paths including '/data/A=00/B=00', '/data/A=00/B=00', '/data/A=01/B=01', '/data/A=10/B=10', '/data/A=11/B=11'. It costs much time and memory cost.
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