It's accessed through the `statusTracker` field on SparkContext. *Scala*:
https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.SparkStatusTracker *Java*: https://spark.apache.org/docs/latest/api/java/org/apache/spark/api/java/JavaSparkStatusTracker.html Don't create new instances of this yourself; instead, use sc.statusTracker to obtain the current instance. This API is missing a bunch of stuff that's available in the web UI, but it was designed so that we can add new methods without breaking binary compatibility. Although it would technically be a new feature, I'd hope that we can backport some additions to 1.2.1 since it's just adding a facade / stable interface in front of JobProgressListener and thus has little to no risk to introduce new bugs elsewhere in Spark. On Mon, Dec 29, 2014 at 3:08 AM, Aniket Bhatnagar < aniket.bhatna...@gmail.com> wrote: > Hi Josh > > Is there documentation available for status API? I would like to use it. > > Thanks, > Aniket > > > On Sun Dec 28 2014 at 02:37:32 Josh Rosen <rosenvi...@gmail.com> wrote: > >> The console progress bars are implemented on top of a new stable "status >> API" that was added in Spark 1.2. It's possible to query job progress >> using this interface (in older versions of Spark, you could implement a >> custom SparkListener and maintain the counts of completed / running / >> failed tasks / stages yourself). >> >> There are actually several subtleties involved in implementing >> "job-level" progress bars which behave in an intuitive way; there's a >> pretty extensive discussion of the challenges at >> https://github.com/apache/spark/pull/3009. Also, check out the pull >> request for the console progress bars for an interesting design discussion >> around how they handle parallel stages: >> https://github.com/apache/spark/pull/3029. >> >> I'm not sure about the plumbing that would be necessary to display live >> progress updates in the IPython notebook UI, though. The general pattern >> would probably involve a mapping to relate notebook cells to Spark jobs >> (you can do this with job groups, I think), plus some periodic timer that >> polls the driver for the status of the current job in order to update the >> progress bar. >> >> For Spark 1.3, I'm working on designing a REST interface to accesses this >> type of job / stage / task progress information, as well as expanding the >> types of information exposed through the stable status API interface. >> >> - Josh >> >> On Thu, Dec 25, 2014 at 10:01 AM, Eric Friedman < >> eric.d.fried...@gmail.com> wrote: >> >>> Spark 1.2.0 is SO much more usable than previous releases -- many thanks >>> to the team for this release. >>> >>> A question about progress of actions. I can see how things are >>> progressing using the Spark UI. I can also see the nice ASCII art >>> animation on the spark driver console. >>> >>> Has anyone come up with a way to accomplish something similar in an >>> iPython notebook using pyspark? >>> >>> Thanks >>> Eric >>> >> >>
