Github user ash211 commented on a diff in the pull request:
https://github.com/apache/spark/pull/880#discussion_r13115487
--- 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>.
--- End diff --
Any guidance on when to use Snappy instead of the default LZF?
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