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This article mainly shows you "how to build the hadoop2.7+Spark1.4 environment", the content is easy to understand, clear, hope to help you solve your doubts, the following let the editor lead you to study and learn "how to build the hadoop2.7+Spark1.4 environment" this article.

I. pseudo-distributed construction of hadoop

In fact, the official website has a more detailed explanation, good English can directly look at the official website, address

1. Install JDK1.7

This omission, the official website shows that 1.6 is OK, but I have an exception with openjdk1.6, JDK1.6 did not try, directly used JDK1.7

Configure environment variables

Vi / etc/profileexport JAVA_HOME=/usr/local/jdk1.7.0_79export CLASSPATH=.:$JAVE_HOME/lib.tools.jarexport PATH=$PATH:$JAVA_HOME/bin

After adding, execute the command to make the configuration effective.

Source / etc/profile2, install ssh, rsync, (take ubuntu as an example)

$sudo apt-get install ssh $sudo apt-get install rsync3, download hadoop compilation package, image address (domestic image is even slower than US, unbearable, note that the compilation package of 2.7is 64-bit)

Check whether it is 32 or 64-bit.

Cd hadoop-2.7.0/lib/nativefile libhadoop.so.1.0.0hadoop-2.7.0/lib/native/libhadoop.so.1.0.0: ELF 64-bit LSB shared object, AMD x86-64, version 1 (SYSV), not stripped4, configuration environment variables

The hadoop profile specifies the java path

Etc/hadoop/hadoop-env.sh

Export JAVA_HOME=/usr/local/jdk1.7.0_79

System environment variable

Export HADOOP_HOME=/usr/local/hadoop-2.7.0export PATH=$PATH:$HADOOP_HOME/binexport HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/nativeexport HADOOP_OPTS= "- Djava.library.path=$HADOOP_HOME/lib"

The last two items will appear if they are not added.

You have loaded library / usr/hadoop/hadoop-2.7.0/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now.

It's highly recommended that you fix the library with 'execstack-c', or link it with'- z noexecstack'.

After adding, execute the command to make the configuration effective.

Source / etc/profile

Execute the command to see if it is successful

Hadoop version5, modify hadoop configuration file

Etc/hadoop/core-site.xml:

Fs.defaultFS hdfs://localhost:9000

Etc/hadoop/hdfs-site.xml:

Dfs.replication 16. Set hadoop ssh password-free access to $ssh-keygen-t dsa-P''- f ~ / .ssh/id_dsa $cat ~ / .ssh/id_dsa.pub > > ~ / .ssh/authorized_keys $export HADOOP\ _ PREFIX=/usr/local/hadoop-2.7.07, format the node and start hadoop$ bin/hdfs namenode-format$ sbin/start-dfs.sh

Open the browser http://localhost:50070/ to see if it is successful

Hdfs configuration: username had better be the same as the current user name, otherwise permission problems may occur.

$bin/hdfs dfs-mkdir / user $bin/hdfs dfs-mkdir / user/8, yarn configuration

Etc/hadoop/mapred-site.xml:

Mapreduce.framework.name yarn

Etc/hadoop/yarn-site.xml:

Yarn.nodemanager.aux-services mapreduce_shuffle

Start yarn

$sbin/start-yarn.sh

Http://localhost:8088/ to see if it is successful.

At this point, the hadoop single node pseudo-distributed installation and configuration is complete.

II. Spark installation and configuration

The installation of spark is relatively simple

1. Download the address first.

Because I already have hadoop, I choose the second download.

2. Enter the directory cd confcp spark-env.sh.template spark-env.shcp spark-defaults.conf.template spark-defaults.confvi conf/spark-env.sh after downloading and decompressing.

Finally add

Export HADOOP_HOME=/usr/local/hadoop-2.7.0export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoopexport SPARK_DIST_CLASSPATH=$ (hadoop classpath)

The last one requires hadoop to add an environment variable.

There are no first two configurations in the official website configuration. I always report an error when I run the example, and I can't find the hdfs jar package.

3. Go back to the decompressed directory and run the example. / bin/run-example SparkPi 10

If the configuration is successful, the configuration is complete.

These are all the contents of the article "how to build a hadoop2.7+Spark1.4 Environment". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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