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[SPARK-21530] Update description of spark.shuffle.maxChunksBeingTransferred. #18735

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[SPARK-21530] Update description of spark.shuffle.maxChunksBeingTransferred. #18735

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ad710dd
Update description of spark.shuffle.maxChunksBeingTransferred
Jul 26, 2017
14f857e
refine according to tgravescs's comments
Jul 26, 2017
7db7cc7
refine description
Jul 27, 2017
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5 changes: 4 additions & 1 deletion common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
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Expand Up @@ -258,7 +258,10 @@ public Properties cryptoConf() {
}

/**
* The max number of chunks allowed to being transferred at the same time on shuffle service.
* The max number of chunks allowed to be transferred at the same time on shuffle service.
* Note that new incoming connections will be closed when the max number is hit. The client will
* retry according to the shuffle retry configs (see spark.shuffle.io.maxRetries and
* spark.shuffle.io.retryWait), if those limits are reached the task will fail with fetch failure.
*/
public long maxChunksBeingTransferred() {
return conf.getLong("spark.shuffle.maxChunksBeingTransferred", Long.MAX_VALUE);
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5 changes: 4 additions & 1 deletion docs/configuration.md
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Expand Up @@ -635,7 +635,10 @@ Apart from these, the following properties are also available, and may be useful
<td><code>spark.shuffle.maxChunksBeingTransferred</code></td>
<td>Long.MAX_VALUE</td>
<td>
The max number of chunks allowed to being transferred at the same time on shuffle service.
The max number of chunks allowed to be transferred at the same time on shuffle service.
Note that new incoming connections will be closed when the max number is hit. The client will
retry according to the shuffle retry configs (see spark.shuffle.io.maxRetries and
spark.shuffle.io.retryWait), if those limits are reached the task will fail with fetch failure.
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@tgravescs tgravescs Jul 26, 2017

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thanks for updating, sorry I forgot to ask you to put spark.shuffle.io.maxRetries and spark.shuffle.io.retryWait inside so they show up as references like in other places. See the description of
spark.shuffle.compress
as an example on how ti references other configs.

</td>
</tr>
<tr>
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