Winutils Exe Hadoop Windows
I decided to teach myself how to work with big data and came across. While I had heard of, to use Hadoop for working with big data, I had to write code in Java which I was not really looking forward to as I love to write code in Python. Spark supports a Python programming API called that is actively maintained and was enough to convince me to start learning PySpark for working with big data.In this post, I describe how I got started with PySpark on Windows. My laptop is running Windows 10.
So the screenshots are specific to Windows 10. I am also assuming that you are comfortable working with the Command Prompt on Windows.
Guillemot isis driver xp. You do not have to be an expert, but you need to know how to start a Command Prompt and run commands such as those that help you move around your computer’s file system. In case you need a refresher, a quick might be handy.Often times, many open source projects do not have good Windows support.
So I had to first figure out if Spark and PySpark would work well on Windows. The official Spark does mention about supporting Windows. Installing PrerequisitesPySpark requires Java version 7 or later and Python version 2.6 or later. Let’s first check if they are already installed or install them and make sure that PySpark can work with these two components. JavaJava is used by many other software. So it is quite possible that a required version (in our case version 7 or later) is already available on your computer.
To check if Java is available and find it’s version, open a Command Prompt and type the following command. 'java' is not recognized as an internal or external command, operable program or batch file.It means you need to install Java.
To do so,.Go to the Java page. In case the download link has changed, search for Java SE Runtime Environment on the internet and you should be able to find the download page.Click the Download button beneath JRE.Accept the license agreement and download the latest version of Java SE Runtime Environment installer.
I suggest getting the exe for Windows x64 (such as jre-8u92-windows-x64.exe) unless you are using a 32 bit version of Windows in which case you need to get the Windows x86 Offline version.Run the installer.After the installation is complete, close the Command Prompt if it was already open, open it and check if you can successfully run java -version command. PythonPython is used by many other software. So it is quite possible that a required version (in our case version 2.6 or later) is already available on your computer. To check if Python is available and find it’s version, open a Command Prompt and type the following command. 'python' is not recognized as an internal or external command, operable program or batch file.It means you need to install Python. To do so,.Go to the Python page.Click the Latest Python 2 Release link.Download the Windows x86-64 MSI installer file. If you are using a 32 bit version of Windows download the Windows x86 MSI installer file.When you run the installer, on the Customize Python section, make sure that the option Add python.exe to Path is selected.
If this option is not selected, some of the PySpark utilities such as pyspark and spark-submit might not work.After the installation is complete, close the Command Prompt if it was already open, open it and check if you can successfully run python -version command. Installing Apache Spark.Go to the Spark page.For Choose a Spark release, select the latest stable release of Spark.For Choose a package type, select a version that is pre-built for the latest version of Hadoop such as Pre-built for Hadoop 2.6.For Choose a download type, select Direct Download.Click the link next to Download Spark to download a zipped tarball file ending in.tgz extension such as spark-1.6.2-bin-hadoop2.6.tgz.In order to install Apache Spark, there is no need to run any installer. You can extract the files from the downloaded tarball in any folder of your choice using the tool.Make sure that the folder path and the folder name containing Spark files do not contain any spaces.In my case, I created a folder called spark on my C drive and extracted the zipped tarball in a folder called spark-1.6.2-bin-hadoop2.6. So all Spark files are in a folder called C:sparkspark-1.6.2-bin-hadoop2.6. From now on, I will refer to this folder as SPARKHOME in this post.To test if your installation was successful, open a Command Prompt, change to SPARKHOME directory and type binpyspark. This should start the PySpark shell which can be used to interactively work with Spark. I got the following messages in the console after running binpyspark command.
Python 2.7.10 ( default, May 23 2015, 09:44:00 ) MSC v.1500 64 bit ( AMD64 ) on win32 Type 'help', 'copyright', 'credits' or 'license' for more information. Using Spark 's default log4j profile: org/apache/spark/log4j-defaults.properties 16/07/09 15:44:10 INFO SparkContext: Running Spark version 1.6.2 16/07/09 15:44:10 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform. Using builtin-java classes where applicable 16/07/09 15:44:10 ERROR Shell: Failed to locate the winutils binary in the hadoop binary path java.io.IOException: Could not locate executable nullbinwinutils.exe in the Hadoop binaries.
Using Spark 's default log4j profile: org/apache/spark/log4j-defaults.properties 16/07/09 16:23:27 INFO SparkContext: Running Spark version 1.6.2 16/07/09 16:23:27 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform. Using builtin-java classes where applicable 16/07/09 16:23:27 ERROR Shell: Failed to locate the winutils binary in the hadoop binary path java.io.IOException: Could not locate executable nullbinwinutils.exe in the Hadoop binaries. Python 2.7.10 ( default, May 23 2015, 09:44:00 ) MSC v.1500 64 bit ( AMD64 ) on win32 Type 'help', 'copyright', 'credits' or 'license' for more information. Using Spark 's default log4j profile: org/apache/spark/log4j-defaults.properties 16/07/09 16:37:51 INFO SparkContext: Running Spark version 1.6.2 16/07/09 16:37:52 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform. Using builtin-java classes where applicable 16/07/09 16:37:52 INFO SecurityManager: Changing view acls to: deel4986 16/07/09 16:37:52 INFO SecurityManager: Changing modify acls to: deel4986 16/07/09 16:37:52 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(deel4986); users with modify permissions: Set(deel4986) 16/07/09 16:37:52 INFO Utils: Successfully started service ' sparkDriver ' on port 62029. 16 / 07 / 09 16:37:52 INFO Slf4jLogger: Slf4jLogger started 16 / 07 / 09 16:37:52 INFO Remoting: Starting remoting 16 / 07 / 09 16:37:52 INFO Remoting: Remoting started; listening on addresses: akka.tcp: //sparkDriverActorSystem@localhost:62042 16 / 07 / 09 16: 37: 52 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 62042.
Winutils Exe Hadoop Windows 7
16 / 07 / 09 16: 37: 52 INFO SparkEnv: Registering MapOutputTracker 16 / 07 / 09 16: 37: 52 INFO SparkEnv: Registering BlockManagerMaster 16 / 07 / 09 16: 37: 52 INFO MemoryStore: MemoryStore started with capacity 511.1 MB 16 / 07 / 09 16: 37: 53 INFO SparkEnv: Registering OutputCommitCoordinator 16 / 07 / 09 16: 37: 53 INFO Utils: Successfully started service 'SparkUI' on port 4040. 16 / 07 / 09 16: 37: 53 INFO SparkUI: Started SparkUI at http: //localhost:4040 16 / 07 / 09 16: 37: 53 INFO Executor: Starting executor ID driver on host localhost 16 / 07 / 09 16: 37: 53 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 62079.
Winutils.exe Hadoop 2.7 Download
Python 2.7.10 (default, May 23 2015, 09:44:00) MSC v.1500 64 bit (AMD64) on win32Type 'help', 'copyright', 'credits' or 'license' for more information.16/07/09 16:45:47 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform. Using builtin-java classes where applicableWelcome to / / / / / / `/ / '// /./,// // version 1.6.2//Using Python version 2.7.10 (default, May 23 2015 09:44:00)SparkContext available as sc, HiveContext available as sqlContext.SummaryIn order to work with PySpark, start a Windows Command Prompt and change into your SPARKHOME directory.To start a PySpark shell, run the binpyspark utility.
Once your are in the PySpark shell use the sc and sqlContext names and type exit to return back to the Command Prompt.To run a standalone Python script, run the binspark-submit utility and specify the path of your Python script as well as any arguments your Python script needs in the Command Prompt. For example, to run the wordcount.py script from examples directory in your SPARKHOME folder, you can run the following commandbinspark-submit examplessrcmainpythonwordcount.py README.mdReferencesI used the following references to gather information about this post.Downloading Spark and Getting Started (chapter 2) from O’Reilly’s book.Share on:❄❄❄Any suggestions or feedback? Leave your comments below.