Well you can use a [Key, Value] RDD and partition it based on hash function on the Key and even a specific number of partitions (and hence cluster nodes). This will a) index the data, b) divide it and send it to multiple nodes. Re your last requirement - in a cluster programming environment/framework your app code should not be bothered on which physical node exactly, a partition resides
Regards Evo Eftimov From: MUHAMMAD AAMIR [mailto:mas.ha...@gmail.com] Sent: Thursday, April 16, 2015 4:20 PM To: Evo Eftimov Cc: user@spark.apache.org Subject: Re: Data partitioning and node tracking in Spark-GraphX I want to use Spark functions/APIs to do this task. My basic purpose is to index the data and divide and send it to multiple nodes. Then at the time of accessing i want to reach the right node and data partition. I don't have any clue how to do this. Thanks, On Thu, Apr 16, 2015 at 5:13 PM, Evo Eftimov <evo.efti...@isecc.com> wrote: How do you intend to "fetch the required data" - from within Spark or using an app / code / module outside Spark -----Original Message----- From: mas [mailto:mas.ha...@gmail.com] Sent: Thursday, April 16, 2015 4:08 PM To: user@spark.apache.org Subject: Data partitioning and node tracking in Spark-GraphX I have a big data file, i aim to create index on the data. I want to partition the data based on user defined function in Spark-GraphX (Scala). Further i want to keep track the node on which a particular data partition is send and being processed so i could fetch the required data by accessing the right node and data partition. How can i achieve this? Any help in this regard will be highly appreciated. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Data-partitioning-and-no <http://apache-spark-user-list.1001560.n3.nabble.com/Data-partitioning-and-node-tracking-in-Spark-GraphX-tp22527.html> de-tracking-in-Spark-GraphX-tp22527.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 -- Regards, Muhammad Aamir CONFIDENTIALITY:This email is intended solely for the person(s) named and may be confidential and/or privileged.If you are not the intended recipient,please delete it,notify me and do not copy,use,or disclose its content.
