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Commit 22b982d2 authored by Patrick Wendell's avatar Patrick Wendell
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...@@ -98,7 +98,7 @@ ...@@ -98,7 +98,7 @@
<ul class="dropdown-menu"> <ul class="dropdown-menu">
<li><a href="configuration.html">Configuration</a></li> <li><a href="configuration.html">Configuration</a></li>
<li><a href="tuning.html">Tuning Guide</a></li> <li><a href="tuning.html">Tuning Guide</a></li>
<li><a href="cdh-hdp.html">Running with CDH/HDP</a></li> <li><a href="hadoop-third-party-distributions.html">Running with CDH/HDP</a></li>
<li><a href="hardware-provisioning.html">Hardware Provisioning</a></li> <li><a href="hardware-provisioning.html">Hardware Provisioning</a></li>
<li><a href="building-with-maven.html">Building Spark with Maven</a></li> <li><a href="building-with-maven.html">Building Spark with Maven</a></li>
<li><a href="contributing-to-spark.html">Contributing to Spark</a></li> <li><a href="contributing-to-spark.html">Contributing to Spark</a></li>
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...@@ -54,9 +54,7 @@ Spark can run in a variety of deployment modes: ...@@ -54,9 +54,7 @@ Spark can run in a variety of deployment modes:
cores dedicated to Spark on each node. cores dedicated to Spark on each node.
* Run Spark alongside Hadoop using a cluster resource manager, such as YARN or Mesos. * Run Spark alongside Hadoop using a cluster resource manager, such as YARN or Mesos.
These options are identical for those using CDH and HDP. Note that if you have a YARN cluster, These options are identical for those using CDH and HDP.
but still prefer to run Spark on a dedicated set of nodes rather than scheduling through YARN,
use `mr1` versions of HADOOP_HOME when compiling.
# Inheriting Cluster Configuration # Inheriting Cluster Configuration
If you plan to read and write from HDFS using Spark, there are two Hadoop configuration files that If you plan to read and write from HDFS using Spark, there are two Hadoop configuration files that
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