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| -rw-r--r-- | docs/spark-standalone.md | 9 |
1 files changed, 0 insertions, 9 deletions
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md index fd94c34d16..40c72931cb 100644 --- a/docs/spark-standalone.md +++ b/docs/spark-standalone.md @@ -134,15 +134,6 @@ You can optionally configure the cluster further by setting environment variable <td>Port for the worker web UI (default: 8081).</td> </tr> <tr> - <td><code>SPARK_WORKER_INSTANCES</code></td> - <td> - Number of worker instances to run on each machine (default: 1). You can make this more than 1 if - you have have very large machines and would like multiple Spark worker processes. If you do set - this, make sure to also set <code>SPARK_WORKER_CORES</code> explicitly to limit the cores per worker, - or else each worker will try to use all the cores. - </td> - </tr> - <tr> <td><code>SPARK_WORKER_DIR</code></td> <td>Directory to run applications in, which will include both logs and scratch space (default: SPARK_HOME/work).</td> </tr> |