[ https://issues.apache.org/jira/browse/SPARK-2282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell updated SPARK-2282: ----------------------------------- Affects Version/s: 0.9.1 > PySpark crashes if too many tasks complete quickly > -------------------------------------------------- > > Key: SPARK-2282 > URL: https://issues.apache.org/jira/browse/SPARK-2282 > Project: Spark > Issue Type: Bug > Components: PySpark > Affects Versions: 0.9.1, 1.0.0, 1.0.1 > Reporter: Aaron Davidson > Assignee: Aaron Davidson > Fix For: 0.9.2, 1.0.0, 1.0.1 > > > Upon every task completion, PythonAccumulatorParam constructs a new socket to > the Accumulator server running inside the pyspark daemon. This can cause a > buildup of used ephemeral ports from sockets in the TIME_WAIT termination > stage, which will cause the SparkContext to crash if too many tasks complete > too quickly. We ran into this bug with 17k tasks completing in 15 seconds. > This bug can be fixed outside of Spark by ensuring these properties are set > (on a linux server); > echo "1" > /proc/sys/net/ipv4/tcp_tw_reuse > echo "1" > /proc/sys/net/ipv4/tcp_tw_recycle > or by adding the SO_REUSEADDR option to the Socket creation within Spark. -- This message was sent by Atlassian JIRA (v6.2#6252)