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https://issues.apache.org/jira/browse/SPARK-22676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16275840#comment-16275840
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Apache Spark commented on SPARK-22676:
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User 'jinxing64' has created a pull request for this issue:
https://github.com/apache/spark/pull/19868
> 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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