Which version are you using? Could you post these thread names here?

Best Regards,
Shixiong Zhu

2015-12-07 14:30 GMT-08:00 Richard Marscher <rmarsc...@localytics.com>:

> Hi,
>
> I've been running benchmarks against Spark in local mode in a long running
> process. I'm seeing threads leaking each time it runs a job. It doesn't
> matter if I recycle SparkContext constantly or have 1 context stay alive
> for the entire application lifetime.
>
> I see a huge accumulation ongoing of "pool-xxxx-thread-1" threads with the
> creating thread "Executor task launch worker-xx" where x's are numbers. The
> number of leaks per launch worker varies but usually 1 to a few.
>
> Searching the Spark code the pool is created in the Executor class. It is
> `.shutdown()` in the stop for the executor. I've wired up logging and also
> tried shutdownNow() and awaitForTermination on the pools. Every seems okay
> there for every Executor that is called with `stop()` but I'm still not
> sure yet if every Executor is called as such, which I am looking into now.
>
> What I'm curious to know is if anyone has seen a similar issue?
>
> --
> *Richard Marscher*
> Software Engineer
> Localytics
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