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| author | Patrick Wendell <pwendell@gmail.com> | 2014-04-24 23:59:16 -0700 |
|---|---|---|
| committer | Patrick Wendell <pwendell@gmail.com> | 2014-04-24 23:59:16 -0700 |
| commit | dc3b640a0ab3501b678b591be3e99fbcf3badbec (patch) | |
| tree | 2865c2a3cef66f061d846f6a968725e83728271b /docs/streaming-programming-guide.md | |
| parent | 6e101f1183f92769779bc8ac14813c063bf1ff3f (diff) | |
| download | spark-dc3b640a0ab3501b678b591be3e99fbcf3badbec.tar.gz spark-dc3b640a0ab3501b678b591be3e99fbcf3badbec.tar.bz2 spark-dc3b640a0ab3501b678b591be3e99fbcf3badbec.zip | |
SPARK-1619 Launch spark-shell with spark-submit
This simplifies the shell a bunch and passes all arguments through to spark-submit.
There is a tiny incompatibility from 0.9.1 which is that you can't put `-c` _or_ `--cores`, only `--cores`. However, spark-submit will give a good error message in this case, I don't think many people used this, and it's a trivial change for users.
Author: Patrick Wendell <pwendell@gmail.com>
Closes #542 from pwendell/spark-shell and squashes the following commits:
9eb3e6f [Patrick Wendell] Updating Spark docs
b552459 [Patrick Wendell] Andrew's feedback
97720fa [Patrick Wendell] Review feedback
aa2900b [Patrick Wendell] SPARK-1619 Launch spark-shell with spark-submit
Diffstat (limited to 'docs/streaming-programming-guide.md')
| -rw-r--r-- | docs/streaming-programming-guide.md | 6 |
1 files changed, 2 insertions, 4 deletions
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md index 946d6c4879..7ad06427ca 100644 --- a/docs/streaming-programming-guide.md +++ b/docs/streaming-programming-guide.md @@ -272,12 +272,10 @@ Time: 1357008430000 ms </td> </table> -If you plan to run the Scala code for Spark Streaming-based use cases in the Spark -shell, you should start the shell with the SparkConfiguration pre-configured to -discard old batches periodically: +You can also use Spark Streaming directly from the Spark shell: {% highlight bash %} -$ SPARK_JAVA_OPTS=-Dspark.cleaner.ttl=10000 bin/spark-shell +$ bin/spark-shell {% endhighlight %} ... and create your StreamingContext by wrapping the existing interactive shell |