[
https://issues.apache.org/jira/browse/SPARK-14172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yingji Zhang updated SPARK-14172:
-
Description:
When the hive sql contains nondeterministic fields, spark plan will not push
down the partition predicate to the HiveTableScan. For example:
{code}
-- consider following query which uses a random function to sample rows
SELECT *
FROM table_a
WHERE partition_col = 'some_value'
AND rand() < 0.01;
{code}
The spark plan will not push down the partition predicate to HiveTableScan
which ends up scanning all partitions data from the table.
was:
When the hive sql contains nondeterministic fields, spark plan will not push
down the partition predicate to the HiveTableScan. For example:
-- consider following query which uses a random function to sample rows
SELECT *
FROM table_a
WHERE partition_col = 'some_value'
AND rand() < 0.01;
The spark plan will not push down the partition predicate to HiveTableScan
which ends up scanning all partitions data from the table.
> Hive table partition predicate not passed down correctly
>
>
> Key: SPARK-14172
> URL: https://issues.apache.org/jira/browse/SPARK-14172
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.1
>Reporter: Yingji Zhang
>Priority: Critical
>
> When the hive sql contains nondeterministic fields, spark plan will not push
> down the partition predicate to the HiveTableScan. For example:
> {code}
> -- consider following query which uses a random function to sample rows
> SELECT *
> FROM table_a
> WHERE partition_col = 'some_value'
> AND rand() < 0.01;
> {code}
> The spark plan will not push down the partition predicate to HiveTableScan
> which ends up scanning all partitions data from the table.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
