+1 on advanced mode ! Regards. Mridul
On Thu, Jul 10, 2014 at 12:55 AM, Reynold Xin <r...@databricks.com> wrote: > Maybe it's time to create an advanced mode in the ui. > > > On Wed, Jul 9, 2014 at 12:23 PM, Kay Ousterhout <k...@eecs.berkeley.edu> > wrote: > >> Hi all, >> >> I've been doing a bunch of performance measurement of Spark and, as part of >> doing this, added metrics that record the average CPU utilization, disk >> throughput and utilization for each block device, and network throughput >> while each task is running. These metrics are collected by reading the >> /proc filesystem so work only on Linux. I'm happy to submit a pull request >> with the appropriate changes but first wanted to see if sufficiently many >> people think this would be useful. I know the metrics reported by Spark >> (and in the UI) are already overwhelming to some folks so don't want to add >> more instrumentation if it's not widely useful. >> >> These metrics are slightly more difficult to interpret for Spark than >> similar metrics reported by Hadoop because, with Spark, multiple tasks run >> in the same JVM and therefore as part of the same process. This means >> that, for example, the CPU utilization metrics reflect the CPU use across >> all tasks in the JVM, rather than only the CPU time used by the particular >> task. This is a pro and a con -- it makes it harder to determine why >> utilization is high (it may be from a different task) but it also makes the >> metrics useful for diagnosing straggler problems. Just wanted to clarify >> this before asking folks to weigh in on whether the added metrics would be >> useful. >> >> -Kay >> >> (if you're curious, the instrumentation code is on a very messy branch >> here: >> >> https://github.com/kayousterhout/spark-1/tree/proc_logging_perf_minimal_temp/core/src/main/scala/org/apache/spark/performance_logging >> ) >>
