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Date: Tue, 8 Sep 2015 07:51:45 +0000 (UTC)
From: "Yi Zhou (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12862343.1441698116000.276666.1441698705839@Atlassian.JIRA>
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 <JIRA.12862343.1441698116692@arcas>
Subject: [jira] [Updated] (SPARK-10484) [Spark SQL]  Come across lost
 task(timeout) or GC OOM error when two table do cross join
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     [ https://issues.apache.org/jira/browse/SPARK-10484?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yi Zhou updated SPARK-10484:
----------------------------
    Summary: [Spark SQL]  Come across lost task(timeout) or GC OOM error when two table do cross join  (was: [Spark SQL]  Come across lost task(timeout) or GC OOM error when cross join happen)

> [Spark SQL]  Come across lost task(timeout) or GC OOM error when two table 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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