Can Apache Spark Run On Windows 10
Bok Mull
Apache Spark has been one of the leading big data processing systems, preferred choice of enterprises for data processing, querying, and generating analytical reports. It offers fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python, and R. Its in-memory data processing abilities, along with adaptability and scalability, make it a better choice than older big data processing models like Hadoop. It provides support for high-level APIs in multiple languages, like Java, Scala, and Python. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.
Step 4: Go to the conf folder and open the log file called log4j.properties. template. Change INFO to WARN (It can be an ERROR to reduce the log). This and the next steps are optional.
2. Create c:\tmp\hive directory. This step is not necessary for later versions of Spark. When you first start Spark, it creates the folder by itself. However, it is the best practice to create a folder.
Double-click the downloaded.exe (jdk-8u201-windows-x64.exe) file to install it on your Windows machine when it has finished downloading. Alternatively, you may stick with the default directory. The installation of spark in window provides all the details on setting up your Apache Spark from Scratch.
Once you have covered all the steps mentioned in this article, Apache Spark should operate perfectly on Windows 10. Start off by launching a Spark instance in your Windows environment. If you are facing any problems, let us know in the comments. Also, read the article on how to install Spark on Ubuntu for instructions tailored to Linux systems.
Spark is a free and open-source framework for handling massive amounts of stream data from many sources. Spark is used in distributed computing for graph-parallel processing, data analytics, and machine learning applications. We have mentioned the procedure to install Spark in Windows cmd in detail through this article. Give it a read and try out the procedure.
You can, indeed. PySpark is a Spark library created in Python to run Python programs leveraging the capabilities of Apache Spark. There isn't a PySpark library available for download. You only need Spark.
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We recently got a big new server at work to run Hadoop and Spark (H/S) on for a proof-of-concept test of some software we're writing for the biopharmaceutical industry and I hit a few snags while trying to get H/S up and running on Windows Server 2016 / Windows 10. I've documented here, step-by-step, how I managed to install and run this pair of Apache products directly in the Windows cmd prompt, without any need for Linux emulation.
I can't guarantee that this guide works with newer versions of Java. Please try with Java 8 if you're having issues. Also, with the new Oracle licensing structure (2019+), you may need to create an Oracle account to download Java 8. To avoid this, simply download from AdoptOpenJDK instead.
Even though newer versions of Hadoop and Spark are currently available, there is a bug with Hadoop 3.2.1 on Windows that causes installation to fail. Until that patched version is available (3.3.0 or 3.1.4 or 3.2.2), you must use an earlier version of Hadoop on Windows.
Next, download 7-Zip to extract the *gz archives. Note that you may need to extract twice (once to move from *gz to *.tar files, then a second time to "untar"). Once they're extracted (Hadoop takes a while), you can delete all of the *.tar and *gz files. You should now have two directories and the JDK installer in your Downloads directory:
Note that -- as shown above -- the "Hadoop" directory and "Spark" directory each contain a LICENSE, NOTICE, and README file. With particular versions of Hadoop, you may extract and get a directory structure like
...if this is the case, move the contents of the inner hadoop- directory to the outer hadoop- directory by copying-and-pasting, then delete the inner hadoop- directory. The path to the LICENSE file, for example, should then be:
WARNING: If you see a message like "Can not create symbolic link : A required privilege is not held by the client" in 7-Zip, you MUST run 7-Zip in Administrator Mode, then unzip the directories. If you skip these files, you may end up with a broken Hadoop installation.
Move the Spark and Hadoop directories into the C:\ directory (you may need administrator privileges on your machine to do this). Then, run the Java installer but change the destination folder from the default C:\Program Files\AdoptOpenJDK\jdk-\ to just C:\Java. (H/S can have trouble with directories with spaces in their names.)
Once the installation is finished, you can delete the Java *.msi installer. Make two new directories called C:\Hadoop and C:\Spark and copy the hadoop- and spark- directories into those directories, respectively:
If you echo %PATH% in cmd you should now see these three directories somewhere in the middle of the path, because the User Path is appended to the System Path for the %PATH variable. You should check now that java -version, hdfs -version, and spark-shell --version return version numbers, as shown below. This means that they were correctly installed and added to your %PATH%:
Please note that if you try to run the above commands from a location with any spaces in the path, the commands may fail. For example, if your username is "Firstname Lastname" and you try to check the Hadoop version, you may see an error message like:
...yes, they should be forward slashes, even though Windows uses backslashes. This is due to the way that Hadoop interprets these file paths. Also, be sure to replace with the appropriate Hadoop version number. Finally, edit yarn-site.xml so it reads:
Now, you need to apply a patch created by and posted to GitHub by user cdarlint. (Note that this patch is specific to the version of Hadoop that you're installing, but if the exact version isn't available, try to use the one just before the desired version... that works sometimes.)
Make a backup of your %HADOOP_HOME%\bin directory (copy it to \bin.old or similar), then copy the patched files (specific to your Hadoop version, downloaded from the above git repo) to the old %HADOOP_HOME%\bin directory, replacing the old files with the new ones.
We know now how to create directories (fs -mkdir) and list their contents (fs -ls) in HDFS, what about creating and editing files? Well, files can be copied from the local file system to HDFS with fs -put. We can then read files in the spark-shell with sc.textFile(...):
So there you have it! Spark running on Windows, reading files stored in HDFS. This took a bit of work to get going and I owe a lot to people who previously encountered the same bugs as me, or previously wrote tutorials which I used as a framework for this walkthrough. Here are the blogs, GitHub repos, and SO posts I used to build this tutorial:
These error messages are giving you hints about what's going wrong. It looks like your %PATH% is set up correctly and hadoop is on it, but you can't run the hadoop command by itself. That's what the error message is telling you. You need to include additional command-line arguments.
So, i tried to see what the content is for the file start-yarn.cmd and it has a call to yarn command. So i tried to call it in a independent console and i get the same error. That is the reason why i think the problem is yarn, the command as is.
If all of that checks out, and the %PATH% is correct, and all of the .cmd files are on the path, I'm not sure what else I would do. There's no reason why those commands shouldn't work if they're on the %PATH%.
Hi Andrew ,
It is me again. Now i am testing in my personal machine. But now i ma having another problem. In my local machine my user is "David Serrano". As you can see it has one space in it. When i try to format the namenode with "hdfs namenode -format" I am getting this error: