I got answer from mail posted to ML. --- Summary --- cache() is lazy, so you can use `RDD.count()` explicitly to load into memory. ---------------
And I tried, two RDDs were cached and the speed became faster. Thank you. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Can-t-cache-RDD-of-collaborative-filtering-on-MLlib-tp21962p22000.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
