754f820035
## What changes were proposed in this pull request? Add AL2 license to metadata of all .md files. This seemed to be the tidiest way as it will get ignored by .md renderers and other tools. Attempts to write them as markdown comments revealed that there is no such standard thing. ## How was this patch tested? Doc build Closes #24243 from srowen/SPARK-26918. Authored-by: Sean Owen <sean.owen@databricks.com> Signed-off-by: Sean Owen <sean.owen@databricks.com>
42 lines
1.8 KiB
Markdown
42 lines
1.8 KiB
Markdown
---
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layout: global
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displayTitle: Using Spark's "Hadoop Free" Build
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title: Using Spark's "Hadoop Free" Build
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license: |
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Licensed to the Apache Software Foundation (ASF) under one or more
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contributor license agreements. See the NOTICE file distributed with
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this work for additional information regarding copyright ownership.
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The ASF licenses this file to You under the Apache License, Version 2.0
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(the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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---
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Spark uses Hadoop client libraries for HDFS and YARN. Starting in version Spark 1.4, the project packages "Hadoop free" builds that lets you more easily connect a single Spark binary to any Hadoop version. To use these builds, you need to modify `SPARK_DIST_CLASSPATH` to include Hadoop's package jars. The most convenient place to do this is by adding an entry in `conf/spark-env.sh`.
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This page describes how to connect Spark to Hadoop for different types of distributions.
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# Apache Hadoop
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For Apache distributions, you can use Hadoop's 'classpath' command. For instance:
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{% highlight bash %}
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### in conf/spark-env.sh ###
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# If 'hadoop' binary is on your PATH
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export SPARK_DIST_CLASSPATH=$(hadoop classpath)
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# With explicit path to 'hadoop' binary
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export SPARK_DIST_CLASSPATH=$(/path/to/hadoop/bin/hadoop classpath)
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# Passing a Hadoop configuration directory
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export SPARK_DIST_CLASSPATH=$(hadoop --config /path/to/configs classpath)
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{% endhighlight %}
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