Richard Liebscher created SPARK-20106:
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Summary: Nonlazy caching of DataFrame after orderBy/sortBy
Key: SPARK-20106
URL: https://issues.apache.org/jira/browse/SPARK-20106
Project: Spark
Issue Type: Bug
Components: PySpark, SQL
Affects Versions: 2.1.0, 2.0.1
Reporter: Richard Liebscher
Priority: Minor
Calling {{cache}} or {{persist}} after a call to {{orderBy}} or {{sortBy}} on a
DataFrame runs not lazy and creates a Spark job:
{code}spark.range(1, 1000).orderBy("id").cache(){code}
Other operations do not generate a job when cached:
{code}spark.range(1, 1000).repartition(2).cache()
spark.range(1, 1000).groupBy("id").agg(fn.min("id")).cache()
spark.range(1, 1000).cache(){code}
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