Hi all, I have a Crunch job that tries to combine the last four tasks of my program into one M/R job. That’s normally not a problem, but my data starts small and grows exponentially in the most major of those DoFn tasks, resulting in spills to disk (local, not HDFS).
I’ve already: * Implemented scaleFactor on the DoFn where the data will emit back more records than it consumed, which is 40.0f * Set io.sort.mb parameter to cluster setting, which is 1792 * Implemented map-side compression with snappy Data set I’m ingesting is from a previous map-reduce job, which comes out to 19 files of 10mb size (which in Crunch comes to 2 splits). Help? --------------------------------------------------------------------------- Landon Robinson Big Data/Hadoop Engineer --------------------------------------------------------------------------- NOTICE: All information in and attached to the e-mails below may be proprietary, confidential, privileged and otherwise protected from improper or erroneous disclosure. If you are not the sender's intended recipient, you are not authorized to intercept, read, print, retain, copy, forward, or disseminate this message. If you have erroneously received this communication, please notify the sender immediately by phone (704-758-1000) or by e-mail and destroy all copies of this message electronic, paper, or otherwise. By transmitting documents via this email: Users, Customers, Suppliers and Vendors collectively acknowledge and agree the transmittal of information via email is voluntary, is offered as a convenience, and is not a secured method of communication; Not to transmit any payment information E.G. credit card, debit card, checking account, wire transfer information, passwords, or sensitive and personal information E.G. Driver's license, DOB, social security, or any other information the user wishes to remain confidential; To transmit only non-confidential information such as plans, pictures and drawings and to assume all risk and liability for and indemnify Lowe's from any claims, losses or damages that may arise from the transmittal of documents or including non-confidential information in the body of an email transmittal. Thank you.
