I want to install Cloudera distribution of Hadoop and Spark using tarball.
I have already set up Hadoop in Pseudo-Distributed mode in my local machine and successfully ran a Yarn example.
I have downloaded latest tarballs CDH 5.3.x from here
But the folder structure of Spark downloaded from Cloudera is differrent from Apache website. This may be because Cloudera provides it's own version maintained separately.
So, as there are no documentation I have found yet to install Spark from this Cloudera's tarball separately.
Could someone help me to understand how to do it?
Spark could be extracted to any directory. You just need to run the ./bin/spark-submit command (available in extracted spark directory) with required parameters to submit the job. To start spark interactive shell, please use command ./bin/spark-shell.
Related
I'm using pure Apache Hadoop with Hive. I need to install Apache Impala, for integrate with Hive and Kudu. I'm trying to install with source from this link and with this build instructions. In this page said that, "build Impala from source and how to configure and run Impala in a single node development environment."
Can I use Apache Impala source for production environment with pure Apache Hadoop(not Cloudera)? I also see this page from other stack-overflow question. In this page answer, recommended that using package for installing. But the dependencies of this packages is HBase, Hadoop etc CDH.
Can anyone show how to install Apache Impala without Cloudera Hadoop and inside the Apache Hadoop(pure) in production environment?
Thanks.
I installed pyspark 2.2.0 with pip, but I don't see a file named spark-env.sh nor the conf directory. I would like to define variables like SPARK_WORKER_CORES in this file. How should I proceed?
I am using Mac OSX El Capitan, python 2.7.
PySpark from PyPi (i.e. installed with pip or conda) does not contain the full PySpark functionality; it is only intended for use with a Spark installation in an already existing cluster, in which case you might want to avoid downloading the whole Spark distribution. From the docs:
The Python packaging for Spark is not intended to replace all of the
other use cases. This Python packaged version of Spark is suitable for
interacting with an existing cluster (be it Spark standalone, YARN, or
Mesos) - but does not contain the tools required to setup your own
standalone Spark cluster. You can download the full version of Spark
from the Apache Spark downloads page.
So, what you should do is download Spark as said above (PySpark is an essential component of it).
I installed hadoop 2.7 on my mac. Then i want to install spark on it. But there is no any document for this.can anybody explain step by step how to install spark on hadoop?
Steps to Install Apache Spark
1) Open Apache Spark Website http://spark.apache.org/
2) Click on Downloads Tab a new Page will get open
3) Choose Pre-built for Hadoop 2.7 and later
4) Choose Direct Download
5) Click on Download Spark: spark-2.0.2-bin-hadoop2.7.tgz and save it on your desired location.
6) Go to the Downloaded Tar file and Extract it.
7) Again Extract the spark-2.0.2-bin-hadoop2.7.tar [File name will differ as version changes] to generate spark-2.0.2-bin-hadoop2.7 folder
8) Now open Shell Prompt and go to the bin directory of spark-2.0.2-bin-hadoop2.7 folder [Folder name will differ as version changes ]
9) Execute command spark-shell.sh
You will be in Spark Shell you can execute the spark commands
https://spark.apache.org/docs/latest/quick-start.html <-- Quick start Guide from spark
Hope this Helps!!!
For running spark on yarn cluster there is lot of steps to install hadoop and spark and all so i write one blog on it step by step you can install it and run spark shell on yarn see the below link
https://blog.knoldus.com/2016/01/30/spark-shell-on-yarn-resource-manager-basic-steps-to-create-hadoop-cluster-and-run-spark-on-it/
Here are the steps I took to install Apache Spark to a Linux Centos system with hadoop:
Install a default Java system (ex: sudo yum install java-11-openjdk)
Download latest release of Apache Spark from spark.apache.org
Extract the Spark tarball (tar xvf spark-2.4.5-bin-hadoop2.7.tgz)
Move Spark folder created after extraction to the /opt/ directory (sudo mv spark-2.4.5-bin-hadoop2.7/ /opt/spark)
Execute with command /opt/spark/bin/spark-shell if you wish to work with Scala or /opt/spark/bin/pyspark if you want to work with Python
I am new to Spark, Hadoop and Cloudera. We need to use a specific version (1.5.2) of Spark and also have the requirement to use Cloudera for the cluster management, also for Spark.
However, CDH 5.5 comes with Spark 1.5.0 and can not be changed very easily.
People are mentioning to "just download" a custom version of spark manually. But how to manage this "custom" spark version by Cloudera, so I can distribute it across the cluster? Or, does it need to be operated and provisioned completely separate from Cloudera?
Thanks for any help and explanation.
Yes, It is possible to run any Apache Spark version .!!
Steps we need to make sure before doing it:
You have YARN configured in the CM. After which you can run your application as a YARN application with spark-submit. please refer to this link. It will be used to work like any other YARN application.
It is not mandatory to install spark, you can run your application.
Under YARN, you can run any application, with any version of Spark. After all, Spark it's a bunch of libraries, so you can pack your jar with your dependencies and send it to YARN. However there are some additional, small tasks to be done.
In the following link, dlb8 provides a list of tasks to be done to run Spark 2.0 in an installation with a previous version. Just change version/paths accordingly.
Find the version of CDH and Hadoop running on your cluster using
$ hadoop version
Hadoop 2.6.0-cdh5.4.8
Download Spark and extract the sources. Pre built Spark binaries should work out of the box with most CDH versions, unless there are custom fixes in your CDH build in which case you can use the spark-2.0.0-bin-without-hadoop.tgz.
(Optional) You can also build Spark by opening the distribution directory in the shell and running the following command using the CDH and Hadoop version from step 1
$ ./dev/make-distribution.sh --name custom-spark --tgz -Psparkr -Phadoop-2.6 -Phive -Phive-thriftserver -Pyarn
Note: With Spark 2.0 the default build uses Scala version 2.11. If you need to stick to Scala 2.10, use the -Dscala-2.10 property or
$ ./dev/change-scala-version.sh 2.10
Note that -Phadoop-provided enables the profile to build the assembly without including Hadoop-ecosystem dependencies provided by Cloudera.
Extract the tgz file.
$tar -xvzf /path/to/spark-2.0.0-bin-hadoop2.6.tgz
cd into the custom Spark distribution and configure the custom Spark distribution by copying the configuration from your current Spark version
$ cp -R /etc/spark/conf/* conf/
$ cp /etc/hive/conf/hive-site.xml conf/
Change SPARK_HOME to point to folder with the Spark 2.0 distribution
$ sed -i "s#\(.*SPARK_HOME\)=.*#\1=$(pwd)#" conf/spark-env.sh
Change spark.master to yarn from yarn-client in spark-defaults.conf
$ sed -i 's/spark.master=yarn-client/spark.master=yarn/' conf/spark-
defaults.conf
Delete spark.yarn.jar from spark-defaults.conf
$ sed '-i /spark.yarn.jar/d' conf/spark-defaults.conf
Finally test your new Spark installation:
$ ./bin/run-example SparkPi 10 --master yarn
$ ./bin/spark-shell --master yarn
$ ./bin/pyspark
Update log4j.properties to suppress annoying warnings. Add the following to conf/log4j.properties
echo "log4j.logger.org.spark_project.jetty=ERROR" >> conf/log4j.properties
However, it can be adapted to the opposite, since the bottom line is "to use a Spark version on an installation with a different version".
It's even simpler if you don't have to deal with 1.x - 2.x version changes, because you don't need to pay attention to the change of scala version and of the assembly approach.
I tested it in a CDH5.4 installation to set 1.6.3 and it worked fine. I did it with the "spark.yarn.jars" option:
#### set "spark.yarn.jars"
$ cd $SPARK_HOME
$ hadoop fs mkdir spark-2.0.0-bin-hadoop
$ hadoop fs -copyFromLocal jars/* spark-2.0.0-bin-hadoop
$ echo "spark.yarn.jars=hdfs:///nameservice1/user/<yourusername>/spark-2.0.0-bin-hadoop/*" >> conf/spark-defaults.conf
How can I download the CDH4 setup manually?
I mean I want to download the setup without using apt-get from the ubuntu command prompt.
CDH4 is Cloudera's distribution of Apache Hadoop. CDH is a collection of Apache Hadoop and several components of its ecosystem.
Assuming that you are requesting for the source, each component can be downloaded as a tarball from the following location:
CDH Packaging and Tarball Information