[ https://issues.apache.org/jira/browse/SPARK-21528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Mansr updated SPARK-21528: -------------------------- Attachment: hs_err_pid1004.log > spark failed with native memory exhausted , need immediate attention > -------------------------------------------------------------------- > > Key: SPARK-21528 > URL: https://issues.apache.org/jira/browse/SPARK-21528 > Project: Spark > Issue Type: Bug > Components: Deploy > Affects Versions: 1.6.1 > Environment: Red Hat Enterprise Linux Server release 6.7 > Linux hostname 2.6.32-696.1.1.el6.x86_64 #1 SMP Tue Mar 21 12:19:18 EDT 2017 > x86_64 x86_64 x86_64 GNU/Linux > Reporter: Mansr > Attachments: hs_err_pid1004.log > > > Native memory allocation (mmap) failed to map 7158628352 bytes for committing > reserved memory. > # > # There is insufficient memory for the Java Runtime Environment to continue. > # Native memory allocation (mmap) failed to map 7158628352 bytes for > committing reserved memory. > # Possible reasons: > # The system is out of physical RAM or swap space > # In 32 bit mode, the process size limit was hit > # Possible solutions: > # Reduce memory load on the system > # Increase physical memory or swap space > # Check if swap backing store is full > # Use 64 bit Java on a 64 bit OS > # Decrease Java heap size (-Xmx/-Xms) > # Decrease number of Java threads > # Decrease Java thread stack sizes (-Xss) > # Set larger code cache with -XX:ReservedCodeCacheSize= > # This output file may be truncated or incomplete. -- 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