[ https://issues.apache.org/jira/browse/SPARK-17943?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin resolved SPARK-17943. ------------------------------------ Resolution: Not A Problem https://en.wikipedia.org/wiki/Memoization > Change Memoized to Memorized > ---------------------------- > > Key: SPARK-17943 > URL: https://issues.apache.org/jira/browse/SPARK-17943 > Project: Spark > Issue Type: Documentation > Affects Versions: 1.3.0 > Environment: Spark 1.3, 1.4 and more > Reporter: Sunil Sabat > Priority: Minor > > https://spark.apache.org/docs/1.4.0/api/java/org/apache/spark/sql/DataFrame.html > has > rdd > public RDD<Row> rdd() > Represents the content of the DataFrame as an RDD of Rows. Note that the RDD > is memoized. Once called, it won't change even if you change any query > planning related Spark SQL configurations (e.g. spark.sql.shuffle.partitions). > Returns: > (undocumented) > Since: > 1.3.0 > Here, memoized should be corrected as "memorized". RDD is memorized. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org