[jira] [Commented] (SPARK-23880) table cache should be lazy and don't trigger any jobs.

2018-04-09 Thread Apache Spark (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-23880?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16431638#comment-16431638
 ] 

Apache Spark commented on SPARK-23880:
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User 'maropu' has created a pull request for this issue:
https://github.com/apache/spark/pull/21018

> table cache should be lazy and don't trigger any jobs.
> --
>
> Key: SPARK-23880
> URL: https://issues.apache.org/jira/browse/SPARK-23880
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Wenchen Fan
>Priority: Major
>
> {code}
> val df = spark.range(100L)
>   .filter('id > 1000)
>   .orderBy('id.desc)
>   .cache()
> {code}
> This triggers a job while the cache should be lazy. The problem is that, when 
> creating `InMemoryRelation`, we build the RDD, which calls 
> `SparkPlan.execute` and may trigger jobs, like sampling job for range 
> partitioner, or broadcast job.
> We should create the RDD at physical phase.



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[jira] [Commented] (SPARK-23880) table cache should be lazy and don't trigger any jobs.

2018-04-05 Thread Takeshi Yamamuro (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-23880?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16428018#comment-16428018
 ] 

Takeshi Yamamuro commented on SPARK-23880:
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ya, I'll look into this. Thank!

> table cache should be lazy and don't trigger any jobs.
> --
>
> Key: SPARK-23880
> URL: https://issues.apache.org/jira/browse/SPARK-23880
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Wenchen Fan
>Priority: Major
>
> {code}
> val df = spark.range(100L)
>   .filter('id > 1000)
>   .orderBy('id.desc)
>   .cache()
> {code}
> This triggers a job while the cache should be lazy. The problem is that, when 
> creating `InMemoryRelation`, we build the RDD, which calls 
> `SparkPlan.execute` and may trigger jobs, like sampling job for range 
> partitioner, or broadcast job.
> We should create the RDD at physical phase.



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[jira] [Commented] (SPARK-23880) table cache should be lazy and don't trigger any jobs.

2018-04-05 Thread Wenchen Fan (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-23880?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16428011#comment-16428011
 ] 

Wenchen Fan commented on SPARK-23880:
-

cc [~ZenWzh] [~maropu] is any of you interested in doing this?

> table cache should be lazy and don't trigger any jobs.
> --
>
> Key: SPARK-23880
> URL: https://issues.apache.org/jira/browse/SPARK-23880
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Wenchen Fan
>Priority: Major
>
> {code}
> val df = spark.range(100L)
>   .filter('id > 1000)
>   .orderBy('id.desc)
>   .cache()
> {code}
> This triggers a job while the cache should be lazy. The problem is that, when 
> creating `InMemoryRelation`, we build the RDD, which calls 
> `SparkPlan.execute` and may trigger jobs, like sampling job for range 
> partitioner, or broadcast job.
> We should create the RDD at physical phase.



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