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| author | Prashant Sharma <prashant.s@imaginea.com> | 2014-01-02 18:37:40 +0530 |
|---|---|---|
| committer | Prashant Sharma <prashant.s@imaginea.com> | 2014-01-02 18:37:40 +0530 |
| commit | b810a85cdddb247e1a104f4daad905b97222ad85 (patch) | |
| tree | 89744bc45d5e895aae5d32fd76e8ba35232f1139 /docs/index.md | |
| parent | 980afd280a331103ce7391adaf484dd497218741 (diff) | |
| download | spark-b810a85cdddb247e1a104f4daad905b97222ad85.tar.gz spark-b810a85cdddb247e1a104f4daad905b97222ad85.tar.bz2 spark-b810a85cdddb247e1a104f4daad905b97222ad85.zip | |
spark-shell -> bin/spark-shell
Diffstat (limited to 'docs/index.md')
| -rw-r--r-- | docs/index.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/index.md b/docs/index.md index d3ac696d1e..a5c179c19c 100644 --- a/docs/index.md +++ b/docs/index.md @@ -34,7 +34,7 @@ to connect to. This can be a [URL for a distributed cluster](scala-programming-g or `local` to run locally with one thread, or `local[N]` to run locally with N threads. You should start by using `local` for testing. -Finally, you can run Spark interactively through modified versions of the Scala shell (`./spark-shell`) or +Finally, you can run Spark interactively through modified versions of the Scala shell (`./bin/spark-shell`) or Python interpreter (`./pyspark`). These are a great way to learn the framework. # Launching on a Cluster |