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@@ -207,6 +207,16 @@ Apart from these, the following properties are also available, and may be useful
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+ <td><code>spark.python.worker.reuse</code></td>
+ <td>true</td>
+ <td>
+ Reuse Python worker or not. If yes, it will use a fixed number of Python workers,
+ does not need to fork() a Python process for every tasks. It will be very useful
+ if there is large broadcast, then the broadcast will not be needed to transfered
+ from JVM to Python worker for every task.
+ </td>
+</tr>
+<tr>
<td><code>spark.executorEnv.[EnvironmentVariableName]</code></td>
<td>(none)</td>
<td>