Github user ash211 commented on a diff in the pull request:
https://github.com/apache/spark/pull/880#discussion_r13115497
--- Diff: docs/configuration.md ---
@@ -260,59 +328,44 @@ Apart from these, the following properties are also
available, and may be useful
<td><code>spark.rdd.compress</code></td>
<td>false</td>
<td>
- Whether to compress serialized RDD partitions (e.g. for
<code>StorageLevel.MEMORY_ONLY_SER</code>).
- Can save substantial space at the cost of some extra CPU time.
+ Whether to compress serialized RDD partitions (e.g. for
+ <code>StorageLevel.MEMORY_ONLY_SER</code>). Can save substantial space
at the cost of some
+ extra CPU time.
</td>
</tr>
<tr>
<td><code>spark.io.compression.codec</code></td>
<td>org.apache.spark.io.<br />LZFCompressionCodec</td>
<td>
- The codec used to compress internal data such as RDD partitions and
shuffle outputs. By default,
- Spark provides two codecs:
<code>org.apache.spark.io.LZFCompressionCodec</code> and
- <code>org.apache.spark.io.SnappyCompressionCodec</code>.
+ The codec used to compress internal data such as RDD partitions and
shuffle outputs.
+ By default, Spark provides two codecs:
<code>org.apache.spark.io.LZFCompressionCodec</code>
+ and <code>org.apache.spark.io.SnappyCompressionCodec</code>.
</td>
</tr>
<tr>
<td><code>spark.io.compression.snappy.block.size</code></td>
<td>32768</td>
<td>
- Block size (in bytes) used in Snappy compression, in the case when
Snappy compression codec is
- used.
+ Block size (in bytes) used in Snappy compression, in the case when
Snappy compression codec
+ is used.
</td>
</tr>
<tr>
- <td><code>spark.scheduler.mode</code></td>
- <td>FIFO</td>
- <td>
- The <a
href="job-scheduling.html#scheduling-within-an-application">scheduling mode</a>
between
- jobs submitted to the same SparkContext. Can be set to
<code>FAIR</code>
- to use fair sharing instead of queueing jobs one after another. Useful
for
- multi-user services.
- </td>
-</tr>
-<tr>
- <td><code>spark.scheduler.revive.interval</code></td>
- <td>1000</td>
- <td>
- The interval length for the scheduler to revive the worker resource
offers to run tasks. (in
- milliseconds)
- </td>
-</tr>
-<tr>
- <td><code>spark.reducer.maxMbInFlight</code></td>
- <td>48</td>
+ <td><code>spark.closure.serializer</code></td>
+ <td>org.apache.spark.serializer.<br />JavaSerializer</td>
<td>
- Maximum size (in megabytes) of map outputs to fetch simultaneously
from each reduce task. Since
- each output requires us to create a buffer to receive it, this
represents a fixed memory
- overhead per reduce task, so keep it small unless you have a large
amount of memory.
+ Serializer class to use for closures. Currently only the Java
serializer is supported.
--- End diff --
Why bother having a configuration option if you can't change it?
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