Winutils.exe File Download
Nikita Desjardins
I'm curious! To my knowledge, HDFS needs datanode processes to run, and this is why it's only working on servers. Spark can run locally though, but needs winutils.exe which is a component of Hadoop. But what exactly does it do? How is it, that I cannot run Hadoop on Windows, but I can run Spark, which is built on Hadoop?
I know of at least one usage, it is for running shell commands on Windows OS. You can find it in org.apache.hadoop.util.Shell, other modules depends on this class and uses it's methods, for example getGetPermissionCommand() method:
I know that there is a very similar post to this one(Failed to locate the winutils binary in the hadoop binary path), however, I have tried every step that was suggested and the same error still appears.
If you are running Spark on Windows with Hadoop, then you need to ensure your windows hadoop installation is properly installed. to run spark you need to have winutils.exe and winutils.dll in your hadoop home directory bin folder.
The following error is due to missing winutils binary in the classpath while running Spark application. Winutils is a part of Hadoop ecosystem and is not included in Spark. The actual functionality of your application may run correctly even after the exception is thrown. But it is better to have it in place to avoid unnecessary problems. In order to avoid error, download winutils.exe binary and add the same to the classpath.
I too faced this issue when trying to launch spark-shell from my Windows laptop. I solved this and it worked for me, hope it would help. It's a very small mistake I made - I saved the winutils executable as "winutils.exe" instead of just winutils.
So when the variable gets resolved it's been resolving to winutils.exe.exe which is nowhere in the Hadoop binaries. I removed that ".exe" and triggered the shell, it worked. I suggest you to have a look at the name it is been saved.
Seems in your Windows machine you are missing the winutil.exe. Can you try this:
1. Download winutils.exe from -repo-1.hortonworks.com/hdp-win-alpha/winutils.exe.
2. Set your HADOOP_HOME environment variable on the OS level to the full path to the bin folder with winutils.
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but it seems that the missing winutils.exe must be placed in the hadoop home directory. I didn't install the hadoop cluster myself, since this is a cloud 'as a service' cluster. Would you have a suggestion to help ?
I dowloaded hadoop-common-2-2-0.bin-master containing winutils.exe, and placed it in a new directory "C:\hadoop_home\hadoop-common-2.2.0-bin-master\bin". I then set the VM argument -D"hadoop.home.dir=C:\hadoop_home\hadoop-common-2.2.0-bin-master" in Advanced parameter->JVM setting of the job (see attachment talendhadooppig2). It seems to work since I don't have the java exception "java.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries." anymore. Nevertheless I still got some warnings :
[WARN ]: org.apache.hadoop.util.NativeCodeLoader - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
[WARN ]: org.apache.pig.PigServer - Empty string specified for jar path
My job should normally use Pig to import 2 tables from HDFS (1 main and 1 ref), do the lookup mapping, and export 2 tables to HDFS (results and rejects) in a new directory. It is running without ending, while the data flow ends on the design panel with only 1 row processed, and the output directory is not created (even erased if I create one...).
Yes I checked this out and followed the steps. I don't have the issue anymore (neither in the job output, nor in the trace/java debug screen). But using the trace debugging, I see only 1 row with null values flowing through my tPigLoad components (please see attachment) ... Besides, I still have 2 warnings :
This post is to help people to install and run Apache Spark in a computer with window 10 (it may also help for prior versions of Windows or even Linux and Mac OS systems), and want to try out and learn how to interact with the engine without spend too many resources. If you really want to build a serious prototype, I strongly recommend to install one of the virtual machines I mentioned in this post a couple of years ago: Hadoop self-learning with pre-configured Virtual Machines or to spend some money in a Hadoop distribution on the cloud. The new version of these VMs come with Spark ready to use.
Apache Spark is making a lot of noise in the IT world as a general engine for large-scale data processing, able to run programs up to 100x faster than Hadoop MapReduce, thanks to its in-memory computing capabilities. It is possible to write Spark applications using Java, Python, Scala and R, and it comes with built-in libraries to work with structure data (Spark SQL), graph computation (GraphX), machine learning (MLlib) and streaming (Spark Streaming).
In order to make my trip still longer, I had to install Git to be able to download the 32-bits winutils.exe. If you know another link where we can found this file you can share it with us.
I struggled a little bit with this issue. After I set everything I tried to run the spark-shell from the command line and I was getting an error, which was hard to debug. The shell tries to find the folder tmp/hive and was not able to set the SQL Context.
I look at my C drive and I found that the C:\tmp\hive folder was created. If not you can created by yourself and set the 777 permissions for it. In theory you can do it with the advanced sharing options of the sharing tab in the properties of the folder, but I did it in this way from the command line using winutils:
Maybe this will help:
The winutils should explicitly be inside a bin folder inside the Hadoop Home folder. In my case HADOOP_HOME points to C:\tools\WinUtils and all the binaries are inside C:\tools\WinUtils\bin
Thirdly, the winutils should explicitly be inside a bin folder inside the Hadoop Home folder. In my case HADOOP_HOME points to C:\tools\WinUtils and all the binaries are inside C:\tools\WinUtils\bin
(Maybe this is also the problem @joyishu is suffering from, because I got the exact same error before fixing this)
Can you please elaborate how it affects the spark functionality ? I am very pissed with this point why it cant be downloaded in some other folder. I have windows 10 and I dont have permissions to install anything in my windows C:\..
The blog has helped me lot with all installation while errors occurred but still facing an problem while installing spark on windows while launching spark-shell.
can anybody please help with solution for as soon as possible? thanks in advance.
Never mind. I figured out the problem was with Java installation location. I changed the installation directory from program files to some other directory without spaces and all seem to work fine then. thanks!
My system is throwing the following error while I tried to start the Name-node for my latest Hadoop-2.2 Version. My system did not find winutils.exe file in my Hadoop bin folder. I tried below codes to fix the issue but it hardly worked. Help me out to sort this out.
The best way to see where this article is headed is to take a look at the demo interactive session shown in Figure 1. From a Windows command shell running in administrative mode, I started a Spark environment by issuing a spark-shell command.
Notice the multiple warning messages in Figure 1. These messages are very common when running Spark because Spark has many optional components that, if not found, generate warnings. In general, warning messages can be ignored for simple scenarios.
The Scala interpreter has a built-in Spark context object named sc, which is used to access Spark functionality. The textFile function loads the contents of a text file into a Spark data structure called a resilient distributed dataset (RDD). RDDs are the primary programming abstraction used in Spark. You can think of an RDD as somewhat similar to a .NET collection stored in RAM across several machines.
Text file README.md (the .md extension stands for markdown document) is located in the Spark root directory C:\spark_1_4_1. If your target file is located somewhere else, you can provide a full path such as C:\\Data\\ReadMeToo.txt.
The count function returns the number of items in an RDD, which in this case is the number of lines in file README.md that contain the word Spark. There are 19 such lines. To quit a Spark Scala session, you can type the :q command.
There are four main steps for installing Spark on a Windows machine. First, you install a Java Development Kit (JDK) and the Java Runtime Environment (JRE). Second, you install the Scala language. Third, you install the Spark framework. And fourth, you configure the host machine system variables.
Installing the JDK also installs an associated JRE. After the installation finishes, the default Java parent directory will contain both a JDK directory and an associated JRE directory, as shown in Figure 3.
Create a directory for the Spark framework files. A common convention is to create a directory named C:\spark_x_x_x, where the x values indicate the version. Using this convention, I created a C:\spark_1_4_1 directory and copied the extracted files into that directory, as shown in Figure 5.
After installing Java, Scala and Spark, the last step is to configure the host machine. This involves downloading a special utility file needed for Windows, setting three user-defined system environment variables, setting the system Path variable, and optionally modifying a Spark configuration file.
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