Thank you for your response. Maybe that applies to my case. In my test case, The types of almost all of the data are either primitive types, joda DateTime, or String. But I'm somewhat disappointed with the speed. At least it should not be slower than Java default serializer...
-----Original Message----- From: wxhsdp [mailto:wxh...@gmail.com] Sent: Wednesday, July 09, 2014 5:47 PM To: u...@spark.incubator.apache.org Subject: Re: Kryo is slower, and the size saving is minimal i'am not familiar with kryo and my opinion may be not right. in my case, kryo only saves about 5% of the original size when dealing with primitive types such as Arrays. i'am not sure whether it is the common case. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Kryo-is-slower-and-the-s ize-saving-is-minimal-tp9131p9160.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
