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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/09/08 09:51:46 UTC
[jira] [Commented] (SPARK-10484) [Spark SQL] Come across lost
task(timeout) or GC OOM error when two tables do cross join
[ https://issues.apache.org/jira/browse/SPARK-10484?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14734389#comment-14734389 ]
Apache Spark commented on SPARK-10484:
--------------------------------------
User 'chenghao-intel' has created a pull request for this issue:
https://github.com/apache/spark/pull/8652
> [Spark SQL] Come across lost task(timeout) or GC OOM error when two tables do cross join
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-10484
> URL: https://issues.apache.org/jira/browse/SPARK-10484
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Yi Zhou
> Priority: Critical
>
> Found that it lost task or GC OOM when below cross join happen. The left big table is ~1.2G in size and the right small table is ~2.2K.
> Key SQL
> {code:sql}
> SELECT
> CONCAT(s_store_sk,"_", s_store_name ) AS store_ID,
> pr_review_date,
> pr_review_content
> FROM product_reviews pr, temp_stores_with_regression stores_with_regression
> WHERE locate(lower(stores_with_regression.s_store_name), lower(pr.pr_review_content), 1) >= 1 ;
> {code}
> Physical Plan
> {code:sql}
> TungstenProject [concat(cast(s_store_sk#456L as string),_,s_store_name#457) AS store_ID#446,pr_review_date#449,pr_review_content#455]
> Filter (locate(lower(s_store_name#457),lower(pr_review_content#455),1) >= 1)
> CartesianProduct
> HiveTableScan [pr_review_date#449,pr_review_content#455], (MetastoreRelation bigbench, product_reviews, Some(pr))
> HiveTableScan [s_store_sk#456L,s_store_name#457], (MetastoreRelation bigbench, temp_stores_with_regression, Some(stores_with_regression))
> Code Generation: true
> {code}
> We also found a strange behavior that exchanging the two table in 'From' clause can pass.
> Key SQL
> {code:sql}
> SELECT
> CONCAT(s_store_sk,"_", s_store_name ) AS store_ID,
> pr_review_date,
> pr_review_content
> FROM temp_stores_with_regression stores_with_regression, product_reviews pr
> WHERE locate(lower(stores_with_regression.s_store_name), lower(pr.pr_review_content), 1) >= 1 ;
> {code}
> Physical Plan
> {code:sql}
> TungstenProject [concat(cast(s_store_sk#448L as string),_,s_store_name#449) AS store_ID#446,pr_review_date#451,pr_review_content#457]
> Filter (locate(lower(s_store_name#449),lower(pr_review_content#457),1) >= 1)
> CartesianProduct
> HiveTableScan [s_store_sk#448L,s_store_name#449], (MetastoreRelation bigbench, temp_stores_with_regression, Some(stores_with_regression))
> HiveTableScan [pr_review_date#451,pr_review_content#457], (MetastoreRelation bigbench, product_reviews, Some(pr))
> Code Generation: true
> {code}
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