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| author | Prashant Sharma <prashant.s@imaginea.com> | 2014-01-02 18:50:12 +0530 |
|---|---|---|
| committer | Prashant Sharma <prashant.s@imaginea.com> | 2014-01-02 18:50:12 +0530 |
| commit | a3f90a2ecf14a01aa27fc95c133b1ff375583adb (patch) | |
| tree | f6a67730b423122b1172682f659ad3344193e6bf /README.md | |
| parent | 94b7a7fe37a4b1459bfdbece2a4162451d6a8ac2 (diff) | |
| download | spark-a3f90a2ecf14a01aa27fc95c133b1ff375583adb.tar.gz spark-a3f90a2ecf14a01aa27fc95c133b1ff375583adb.tar.bz2 spark-a3f90a2ecf14a01aa27fc95c133b1ff375583adb.zip | |
pyspark -> bin/pyspark
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -21,7 +21,7 @@ Once you've built Spark, the easiest way to start using it is the shell: ./bin/spark-shell -Or, for the Python API, the Python shell (`./pyspark`). +Or, for the Python API, the Python shell (`./bin/pyspark`). Spark also comes with several sample programs in the `examples` directory. To run one of them, use `./bin/run-example <class> <params>`. For example: |