winutils | exe hadoop.dll and hdfs.dll binaries
kandi X-RAY | winutils Summary
kandi X-RAY | winutils Summary
winutils.exe hadoop.dll and hdfs.dll binaries for hadoop on windows. I've been using but it stops to update So I tried to compile myself and push binaries here for you all.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of winutils
winutils Key Features
winutils Examples and Code Snippets
Community Discussions
Trending Discussions on winutils
QUESTION
I'm trying to create local spark environment in Windows 11 with python.
I am using python 3.9 and spark version 3.2.1.
I have set my environmental variables to:
ANSWER
Answered 2022-Mar-16 at 09:29Not sure if this would be the fix, but neither of the links you posted for hadoop.dll and winutils.exe are for the version of Spark you're using (3.2.1)
I use 3.2.1 on Windows as well and always use this link to download the files and add them to my Spark bin https://github.com/cdarlint/winutils/tree/master/hadoop-3.2.1/bin
QUESTION
I am getting this error while trying to write txt file to local path in windows.
Error: Caused by: java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z
- Spark , hadoop versions : spark-3.0.3-bin-hadoop2.7.
- winutils is placed in C:\winutils\bin
- hadoop.dll is placed in C:\winutils\bin and c:\System32
- Environment Variables set HADOOP_HOME C:\winutils Path %HADOOP_HOME%\bin
- Tried restarting
ANSWER
Answered 2022-Mar-10 at 07:09I found below cause and solution:
Root Cause: Gradle dependency was with higher version of spark. I have spark 3.0.3 installed but here it was 3.2.0 implementation 'org.apache.spark:spark-core_2.13:3.2.0'
Fix: Replaced with implementation 'org.apache.spark:spark-core_2.12:3.0.3'
QUESTION
I would like to run the below code that loads a CSV into a Spark dataframe in IntelliJ.
...ANSWER
Answered 2022-Mar-01 at 15:26Answers to both issues in comment:
1st one : Set HADOOP_HOME
environment variable to C:\hadoop
without "bin" and append C:\hadoop\bin
to PATH
environment variable.
2nd one : Use JDK 8 since Spark doesn't support JDK 17.
QUESTION
I am trying to setup spark on my new windows laptop. I am getting below error while running spark-shell :
" ERROR Main: Failed to initialize Spark session. java.lang.reflect.InvocationTargetException Caused by: java.net.URISyntaxException: Illegal character in path at index 32: spark://DESKTOP-RCMDGS4:49985/C:\classes"
I am using below s/w : Spark 3.2.1 Java 11 Hadoop: winutils
I have set below environment variables : HADOOP_HOME, SPARK_HOME, JAVA_HOME, PATH
...ANSWER
Answered 2022-Feb-14 at 00:33This is known issue in latest spark version. Downgrade to 3.0.3 could fix the issue.
QUESTION
So I've read a dozens of tutorials on how to set up pyspark. I've set all enviremental variables like HADOOP_HOME, SPARK_HOME e.t.c. I've downloaded winutils and put it to %SPARK_HOME%/bin. I've checked that the version of pyspark is the same as spark, that I have downloaded from official site (3.2.1). I am using Java JDK 8. I've tried different versions of Java, Spark/Pyspark but everytime I use collect method on rdd I'm getting a tons of errors.
This is my sample program:
...ANSWER
Answered 2022-Feb-05 at 19:36Nothing wrong with your program. Its looks like the issue in your spark setup. in the command prompt check if you are able to get pyspark prompt without any error. and also check python version and env variable.
QUESTION
I've been struggling a lot to get Spark running on my Windows 10 device lately, without success. I merely want to try out Spark and to be able to follow tutorials, thus I don't currently have access to a cluster to connect to. In order to install Spark, I completed the following steps, based on this tutorial:
- I installed the Java JDK and placed it to
C:\jdk
. The folder hasbin
,conf
,include
,jmods
,legal
, andlib
folders inside. - I installed the Java runtime environment and placed it to
C:\jre
. This one hasbin
,legal
, andlib
folders inside. - I downloaded this folder and placed the
winutils.exe
intoC:\winutils\bin
. - I created a
HADOOP_HOME
user environmental variable and set it toC:\winutils
- I opened the Anaconda Prompt and installed PySpark by
conda install pyspark
to my base environment. - Upon successful installation, I opened a new prompt and typed
pyspark
to verify the installation. This should give a Spark welcome screen. Instead, I got the following long error message though:
ANSWER
Answered 2021-Dec-05 at 14:44Finally, I succeeded so let me share what I learned for future reference in case anyone else would later on struggle with Apache Spark installation as well. There are three crucial aspects when installing Apache Spark on a Windows 10 machine.
Make sure you have Java 8 installed! Many of us fall into the trap of downloading the now-default Java 17 which is not supported by Apache Spark. There is an option to choose between either Java 8 or Java 11 but based on the discussion on this thread, I concluded that for my quick POC examples it's not worth all that trouble with Java 11 JDK and JRE, hence I went with the Java 8 for which both JDK and JRE were easily downloadable from the Oracle website. Note that the later version you choose, the more secure it will be, so for anything more serious I'd probably opt for the Java 11.
Move the newly installed Java folders to C drive. Create a
C:\jdk
folder for the Java 8 JDK andC:\jre
for he Java 8 JRE. Then, there won't be a need for a JAVA_HOME environmental variable since they are both right in the base of the C drive.Use an older version of Spark! As it turned out, the latest stable release, 3.2.0 from October 2021 that is currently offered on the Apache Spark website has been repeatedly reported to provide such and other similar issues when initializing the Spark Context. As such, I tried rolling back to a previous version. Specifically, I downloaded Apache Spark version 3.0.3 released in June 2021 and pointed the
SPARK_HOME
environmental variable to the newly extracted folder at:C:\Spark\spark-3.0.3-bin-hadoop2.7
After all these modifications, I closed all command line windows, opened a fresh one, ran spark-shell
and finally I am getting the so much sought after welcome screen of Spark:
QUESTION
I’m trying to run the below command,
...ANSWER
Answered 2021-Aug-04 at 08:40I have tried all the winutils available as I was not sure of the version that I need. Finally I have downloaded one latest from GitHub for hadoop-3.3.0.
link: https://github.com/kontext-tech/winutils/blob/master/hadoop-3.3.0/bin/winutils.exe
And it's working now. I'm able to give permission via winutils.exe as well as write into local file system.
QUESTION
I am facing two errors in Spark 3.1.2 and Hadoop 2.7:
First one when import 'pyspark' in python and create a session.
ERROR: 'Java gateway process exited before sending its port number'
Second one occured when I tried running "pyspark" in powershell to see if it is working
ERROR: '& was unexpected at this time.'
I followed the exact installation instructions from https://spark.apache.org. Also, I tried multiple solutions provided here in Stack Overflow with no luck.
I feel the issue with 'winutils.exe'
I downloaded them from the repository on GitHub for the following Hadoop versions: [2.7.1, 2.7.7]
Tried them and none worked.
My environment variables -as far as I checked- are all right:
...ANSWER
Answered 2021-Jul-05 at 17:43I was not able to figure out the error after trying multiple solutions for the problem. So, I reseted my windows and now everything is working, which got my to think. Before the reset, I installed Windows terminal from Windows store and made some them adjustment. I do not know how it is related to my spark issue, but it seems it.
QUESTION
I am trying to insert values from json into mysql columns, All columns in mysql are varchar type and currently struck at def print_details() function
Error:
...ANSWER
Answered 2021-May-22 at 00:42If you truly have spaces in your column names, you need to quote them in backticks, so:
QUESTION
I have a scala/spark program that is used to validate xmls file in an input directory and then writes the report to another input parameter (local filesystem path to write report to).
As per the requirements from stakeholders this program is to run on local machines hence I am using spark in local mode. Till now things were fine, i was using the code below to save my report to a file
...ANSWER
Answered 2021-Jan-21 at 05:30Finally found out the issue, It was caused by some unwanted mapreduce related dependencies which have now been removed and I have moved to another error now
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install winutils
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page