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Apache Spark commented on SPARK-23880: -------------------------------------- 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(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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org