[ https://issues.apache.org/jira/browse/SPARK-21776?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zhaP524 updated SPARK-21776: ---------------------------- Attachment: screenshot-2.png > How to use the memory-mapped file on Spark??? > --------------------------------------------- > > Key: SPARK-21776 > URL: https://issues.apache.org/jira/browse/SPARK-21776 > Project: Spark > Issue Type: Question > Components: Block Manager, Documentation, Input/Output > Affects Versions: 2.1.1 > Environment: Spark 2.1.1 > Scala 2.11.8 > Reporter: zhaP524 > Attachments: screenshot-1.png, screenshot-2.png > > > In generation, we have to use the Spark full quantity loaded HBase > table based on one dimension table to generate business, because the base > table is total quantity loaded, the memory will pressure is very big, I want > to see if the Spark can use this way to deal with memory mapped file?Is there > such a mechanism?How do you use it? > And I found in the Spark a parameter: > spark.storage.memoryMapThreshold=2m, is not very clear what this parameter is > used for? > There is a putBytes and getBytes method in DiskStore.scala with Spark > source code, is this the memory-mapped file mentioned above?How to > understand?? > Let me know if you have any trouble.. > Wish to You!! -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org