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From ash211 <...@git.apache.org>
Subject [GitHub] spark pull request: Organize configuration docs
Date Wed, 28 May 2014 04:36:27 GMT
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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