Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/16810#discussion_r99519864
--- Diff: docs/building-spark.md ---
@@ -63,57 +63,30 @@ with Maven profile settings and so on like the direct
Maven build. Example:
This will build Spark distribution along with Python pip and R packages.
For more information on usage, run `./dev/make-distribution.sh --help`
-## Specifying the Hadoop Version
-
-Because HDFS is not protocol-compatible across versions, if you want to
read from HDFS, you'll need to build Spark against the specific HDFS version in
your environment. You can do this through the `hadoop.version` property. If
unset, Spark will build against Hadoop 2.2.0 by default. Note that certain
build profiles are required for particular Hadoop versions:
-
-<table class="table">
- <thead>
- <tr><th>Hadoop version</th><th>Profile required</th></tr>
- </thead>
- <tbody>
- <tr><td>2.2.x</td><td>hadoop-2.2</td></tr>
- <tr><td>2.3.x</td><td>hadoop-2.3</td></tr>
- <tr><td>2.4.x</td><td>hadoop-2.4</td></tr>
- <tr><td>2.6.x</td><td>hadoop-2.6</td></tr>
- <tr><td>2.7.x and later 2.x</td><td>hadoop-2.7</td></tr>
- </tbody>
-</table>
-
-Note that support for versions of Hadoop before 2.6 are deprecated as of
Spark 2.1.0 and may be
-removed in Spark 2.2.0.
+## Specifying the Hadoop Version and Enabling YARN
+You can specify the exact version of Hadoop to compile against through the
`hadoop.version` property.
+If unset, Spark will build against Hadoop 2.6.0 by default.
--- End diff --
`2.6.5 by default`?
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