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https://issues.apache.org/jira/browse/SPARK-23880?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23880:
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Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> Priority: Major
>
> {code}
> val df = spark.range(10000000000L)
> .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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