[SPARK-11305][DOCS] Remove Third-Party Hadoop Distributions Doc Page

Remove Hadoop third party distro page, and move Hadoop cluster config info to configuration page

CC pwendell

Author: Sean Owen <[email protected]>

Closes #9298 from srowen/SPARK-11305.

Author: srowen

README.md

@@ -87,10 +87,7 @@ Hadoop, you must build Spark against the same version that your cluster runs.
 Please refer to the build documentation at
 ["Specifying the Hadoop Version"](http://spark.apache.org/docs/latest/building-spark.html#specifying-the-hadoop-version)
 for detailed guidance on building for a particular distribution of Hadoop, including
-building for particular Hive and Hive Thriftserver distributions. See also
-["Third Party Hadoop Distributions"](http://spark.apache.org/docs/latest/hadoop-third-party-distributions.html)
-for guidance on building a Spark application that works with a particular
-distribution.
+building for particular Hive and Hive Thriftserver distributions.
 
 ## Configuration
 

docs/_layouts/global.html

@@ -112,7 +112,6 @@
                                 <li><a href="job-scheduling.html">Job Scheduling</a></li>
                                 <li><a href="security.html">Security</a></li>
                                 <li><a href="hardware-provisioning.html">Hardware Provisioning</a></li>
-                                <li><a href="hadoop-third-party-distributions.html">3<sup>rd</sup>-Party Hadoop Distros</a></li>
                                 <li class="divider"></li>
                                 <li><a href="building-spark.html">Building Spark</a></li>
                                 <li><a href="https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark">Contributing to Spark</a></li>

docs/configuration.md

@@ -1674,3 +1674,18 @@ Spark uses [log4j](http://logging.apache.org/log4j/) for logging. You can config
 To specify a different configuration directory other than the default "SPARK_HOME/conf",
 you can set SPARK_CONF_DIR. Spark will use the the configuration files (spark-defaults.conf, spark-env.sh, log4j.properties, etc)
 from this directory.
+
+# Inheriting Hadoop Cluster Configuration
+
+If you plan to read and write from HDFS using Spark, there are two Hadoop configuration files that
+should be included on Spark's classpath:
+
+* `hdfs-site.xml`, which provides default behaviors for the HDFS client.
+* `core-site.xml`, which sets the default filesystem name.
+
+The location of these configuration files varies across CDH and HDP versions, but
+a common location is inside of `/etc/hadoop/conf`. Some tools, such as Cloudera Manager, create
+configurations on-the-fly, but offer a mechanisms to download copies of them.
+
+To make these files visible to Spark, set `HADOOP_CONF_DIR` in `$SPARK_HOME/spark-env.sh`
+to a location containing the configuration files.

docs/hadoop-third-party-distributions.md

@@ -117,7 +117,6 @@ options for deployment:
 * [Job Scheduling](job-scheduling.html): scheduling resources across and within Spark applications
 * [Security](security.html): Spark security support
 * [Hardware Provisioning](hardware-provisioning.html): recommendations for cluster hardware
-* [3<sup>rd</sup> Party Hadoop Distributions](hadoop-third-party-distributions.html): using common Hadoop distributions
 * Integration with other storage systems:
   * [OpenStack Swift](storage-openstack-swift.html)
 * [Building Spark](building-spark.html): build Spark using the Maven system

docs/index.md

@@ -34,8 +34,7 @@ To write a Spark application, you need to add a Maven dependency on Spark. Spark
     version = {{site.SPARK_VERSION}}
 
 In addition, if you wish to access an HDFS cluster, you need to add a dependency on
-`hadoop-client` for your version of HDFS. Some common HDFS version tags are listed on the
-[third party distributions](hadoop-third-party-distributions.html) page.
+`hadoop-client` for your version of HDFS.
 
     groupId = org.apache.hadoop
     artifactId = hadoop-client
@@ -66,8 +65,7 @@ To write a Spark application in Java, you need to add a dependency on Spark. Spa
     version = {{site.SPARK_VERSION}}
 
 In addition, if you wish to access an HDFS cluster, you need to add a dependency on
-`hadoop-client` for your version of HDFS. Some common HDFS version tags are listed on the
-[third party distributions](hadoop-third-party-distributions.html) page.
+`hadoop-client` for your version of HDFS.
 
     groupId = org.apache.hadoop
     artifactId = hadoop-client
@@ -93,8 +91,7 @@ This script will load Spark's Java/Scala libraries and allow you to submit appli
 You can also use `bin/pyspark` to launch an interactive Python shell.
 
 If you wish to access HDFS data, you need to use a build of PySpark linking
-to your version of HDFS. Some common HDFS version tags are listed on the
-[third party distributions](hadoop-third-party-distributions.html) page.
+to your version of HDFS.
 [Prebuilt packages](http://spark.apache.org/downloads.html) are also available on the Spark homepage
 for common HDFS versions.