hequn8128 commented on a change in pull request #10453: [FLINK-14026][python]
Manage the resource of Python worker properly
URL: https://github.com/apache/flink/pull/10453#discussion_r354692393
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File path: docs/_includes/generated/python_configuration.html
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@@ -20,5 +26,11 @@
<td>Long</td>
<td>Sets the waiting timeout(in milliseconds) before processing a
bundle for Python user-defined function execution. The timeout defines how long
the elements of a bundle will be buffered before being processed. Lower
timeouts lead to lower tail latencies, but may affect throughput.</td>
</tr>
+ <tr>
+ <td><h5>python.fn-execution.framework.memory.size</h5></td>
+ <td style="word-wrap: break-word;">"64mb"</td>
+ <td>String</td>
+ <td>The amount of memory to be allocated by the Python framework.
The memory will be accounted as managed memory. The sum of the value of this
configuration and "python.fn-execution.buffer.memory.size" represents the total
memory of the Python worker.</td>
Review comment:
Maybe also add a notice that the configured total memory will not take
effect if it exceeds the available managed off-heap?
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