Java gateway process exited before sending its port number pyspark windows

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java gateway process exited before sending the driver its port number #248

java gateway process exited before sending the driver its port number #248

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import pyspark —> works fine.
sc = pyspark.SparkContext() —> Error, info: «java gateway process exited before sending the driver its port number»

After googling, I set the environment:
export PYSPARK_SUBMIT_ARGS=»—master local[2] pyspark-shell»
or even:
sc = pyspark.SparkContext(«local»)

The text was updated successfully, but these errors were encountered:

As for me, setting JAVA_HOME didn’t help.

~/spark-2.1.1-bin-hadoop2.7/python/pyspark/java_gateway.py in launch_gateway(conf)
93 callback_socket.close()
94 if gateway_port is None:
—> 95 raise Exception(«Java gateway process exited before sending the driver its port number»)
96
97 # In Windows, ensure the Java child processes do not linger after Python has exited.

Exception: Java gateway process exited before sending the driver its port number

Same error happens. delete PYSPARK_SUBMIT_ARGS dosen’t get me through this problem. also I set my JAVA_HOME and SPARK_HOME.

following @leafjungle’s advice, setting JAVA_HOME worked for me.

I’m on Mac with a brew installed OpenJDK setup,

export JAVA_HOME="$(/usr/libexec/java_home -v 1.8)" 

I figured out the problem in Windows system. The installation directory for Java must not have blanks in the path such as in «C:\Program Files». I re-installed Java in «C\Java». I set JAVA_HOME to C:\Java and the problem went away.

setting JAVA_HOME dint help
os.environ[‘JAVA_HOME’] = ‘ /Library/Java/JavaVirtualMachines/jdk1.8.0_131.jdk/Contents/Home’
also I set by exporting path
export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0_131.jdk/Contents/Home
—-> 4 sc = SparkContext(appName=»PythonSparkStreamingKafka_RM_01″)
Exception: Java gateway process exited before sending the driver its port number
error is
/Library/Java/JavaVirtualMachines/jdk1.8.0_131.jdk/Contents/Home/bin/java: No such file or directory

but actually when I run
$ /Library/Java/JavaVirtualMachines/jdk1.8.0_131.jdk/Contents/Home/bin/java
I get proper java option
$ /Library/Java/JavaVirtualMachines/jdk1.8.0_131.jdk/Contents/Home/bin/java
Usage: java [-options] class [args. ]
(to execute a class)
or java [-options] -jar jarfile [args. ]
(to execute a jar file)
where options include:

I got this error after upgrading to JDK 10. Changing JAVA_HOME to point to JDK 8 solved the issue. Spark version — 2.3.1

in my case the error originated from the missing line

in /etc/hosts . I traced it back trying to execute spark-shell from SPARK_HOME and finding this error:

UnknownHostException: name or service not known

which in turn directed me to this post:

I tried all the above options. nothing helped.
OS: Mac OS
spark:2.3.1
java version 1.8.0_181

@hykavitha how did you fix the issue?

On Mon, 6 Aug 2018, 4:50 pm gulshan, ***@***.***> wrote: I tried all the above options. nothing helped. OS: Mac OS spark:2.3.1 java version 1.8.0_181 @hykavitha how did you fix the issue? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub , or mute the thread .

I tried setting JAVA_HOME but it did not solve the issue.
Finally I had to do a clean Install of everything, now its working fine.
I am still clueless as to what exactly was the issue.

@gulshan-gaurav : did you source your bash_profile?
sometimes restarting the mac also resolves issues related to this.

I did not have to unset my PYSPARK_SUBMIT_ARGS shell variable. Setting my JAVA_HOME shell variable did resolve the issue for me though. Strange, everything seemed to be working the previous day but then today the problem appeared. Running my jupyter notebooks from a server at work. I used the following shell command to find path needed for JAVA_HOME .

On Windows, I had the problem due to having JRE not JDK. Once I removed JRE and insalled JDK in C:\java\jdk1.8.0_201 just in case spaces in program files make things crash, I was able to run pyspark in Jupyter notebooks. JDK installation includes both JDK and JRE but JAVA_HOME should point to JDK folder, in my case it was C:\java\jdk1.8.0_201

I use Mac OS. I fixed the problem!

I have jdk-11.jdk in /Library/Java/JavaVirtualMachines, by @rajesh-srivastava said, JDK8 worked fine. So I downloaded JDK8 (I followed the link).
Which is:

brew tap caskroom/versions brew cask install java8 

After this, as @leafjungle said, I added

export JAVA_HOME="$(/usr/libexec/java_home -v 1.8)" 

to ~/.bash_profile file.

It works now!
Hope this help 🙂

Источник

How to fix pyspark error: java gateway process exited before sending its port number in Python?

The «Java gateway process exited before sending its port number» error is a common issue faced by PySpark users while working with PySpark and Jupyter Notebook. The error occurs when PySpark is unable to connect to the JVM (Java Virtual Machine) to execute Spark commands. There could be multiple reasons behind this issue, such as incorrect configuration of the PySpark environment or firewall restrictions.

Method 1: Set SPARK_HOME Environment Variable

To fix the «Java gateway process exited before sending its port number» error in PySpark, you can set the SPARK_HOME environment variable. Here are the steps to do it:

1. First, download and install Apache Spark on your system.
2. Next, open your terminal and set the SPARK_HOME environment variable to the path where you installed Spark. For example, if you installed Spark in /usr/local/spark , you would run the following command:

export SPARK_HOME=/usr/local/spark

1. Next, add the bin directory of Spark to your PATH environment variable by running the following command:

export PATH=$SPARK_HOME/bin:$PATH

1. Finally, start a new Python session and import PySpark. This should now work without the «Java gateway process exited before sending its port number» error.

Here is an example of how you can set the SPARK_HOME environment variable in a Python script:

import os os.environ['SPARK_HOME'] = '/usr/local/spark' os.environ['PATH'] = os.environ['SPARK_HOME'] + '/bin:' + os.environ['PATH'] from pyspark import SparkContext sc = SparkContext("local", "Example")

In this example, we first set the SPARK_HOME environment variable to /usr/local/spark . We then add the bin directory of Spark to the PATH environment variable. Finally, we import PySpark and create a Spark context using the SparkContext class.

Method 2: Configure PySpark Driver

To fix the «Java gateway process exited before sending its port number» error in PySpark, you can configure the PySpark driver. Here are the steps to do it:

from pyspark import SparkConf, SparkContext conf = SparkConf() conf.setAppName("MyApp") conf.set("spark.driver.extraJavaOptions", "-Dio.netty.tryReflectionSetAccessible=true") sc = SparkContext(conf=conf)

1. Replace «MyApp» with your application name.
2. Add any other configuration options you need to the conf object.
3. Set the «spark.driver.extraJavaOptions» configuration option to «-Dio.netty.tryReflectionSetAccessible=true». This option enables the Netty library to use reflection to access private fields, which can help fix the error.
4. Create a SparkContext object using the conf object.

Here’s an example of a PySpark script that uses the above code:

from pyspark import SparkConf, SparkContext conf = SparkConf() conf.setAppName("WordCount") conf.set("spark.driver.extraJavaOptions", "-Dio.netty.tryReflectionSetAccessible=true") sc = SparkContext(conf=conf) text_file = sc.textFile("hdfs://localhost:9000/input/sample.txt") counts = text_file.flatMap(lambda line: line.split(" ")) \ .map(lambda word: (word, 1)) \ .reduceByKey(lambda a, b: a + b) counts.saveAsTextFile("hdfs://localhost:9000/output/wordcount")

In this example, the script reads a file from HDFS, counts the occurrences of each word, and saves the result to another file in HDFS.

By configuring the PySpark driver with the «spark.driver.extraJavaOptions» option, you can fix the «Java gateway process exited before sending its port number» error and run your PySpark script successfully.

Method 3: Use findSpark Package

If you are encountering the error «Java gateway process exited before sending its port number» when working with PySpark, you can use the findSpark package to fix it.

Here are the steps to fix this error:

import os os.environ['SPARK_HOME'] = '/path/to/your/spark/installation'

import findspark findspark.init()

from pyspark import SparkContext sc = SparkContext("local", "First App")

rdd = sc.parallelize([1, 2, 3, 4, 5]) rdd_sum = rdd.reduce(lambda x, y: x + y) print(rdd_sum)

This should output the sum of the RDD, which is 15.

By following these steps, you should be able to fix the «Java gateway process exited before sending its port number» error and start working with PySpark.

Note: If you are using Jupyter notebooks, make sure to restart the kernel after setting the SPARK_HOME environment variable.

Method 4: Configure Jupyter Notebook for PySpark

If you are facing the error «Java gateway process exited before sending its port number» while working with PySpark, you can solve it by configuring Jupyter Notebook for PySpark. Here are the steps:

Step 1: Install PySpark

First, you need to install PySpark. You can install it using pip:

Step 2: Set environment variables

Next, you need to set the environment variables for PySpark. You can do this by adding the following lines to your .bashrc file:

export PYSPARK_PYTHON=python3 export PYSPARK_DRIVER_PYTHON=jupyter export PYSPARK_DRIVER_PYTHON_OPTS='notebook'

Step 3: Start Jupyter Notebook

Start Jupyter Notebook by running the following command in your terminal:

Step 4: Import PySpark

In the first cell of your Jupyter Notebook, import PySpark:

from pyspark.sql import SparkSession spark = SparkSession.builder.appName('myAppName').getOrCreate()

Now you can use PySpark without facing the «Java gateway process exited before sending its port number» error.

Method 5: Check Firewall Settings

To fix the Pyspark error «Java gateway process exited before sending its port number», you can check your firewall settings. Here are the steps to do it:

1. Open the Windows Firewall with Advanced Security window by searching for «Windows Firewall with Advanced Security» in the Start menu.
2. Click on «Inbound Rules» in the left pane and then click on «New Rule» in the right pane.
3. Select «Port» and click «Next».
4. Select «TCP» and enter the port number that your Pyspark application is using (default is 7077) and click «Next».
5. Select «Allow the connection» and click «Next».
6. Select the network type you want to apply the rule to (e.g., «Domain», «Private», «Public») and click «Next».
7. Enter a name for the rule (e.g., «Pyspark TCP Port 7077») and click «Finish».

Here is an example code snippet to check if the port is open:

import socket def is_port_open(port): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: return s.connect_ex(('localhost', port)) == 0 if is_port_open(7077): print("Port 7077 is open.") else: print("Port 7077 is closed.")

This code snippet creates a socket and tries to connect to the local machine on port 7077. If the connection is successful, it means the port is open.

You can also use the telnet command to check if the port is open:

If the port is open, you will see a message saying «Connected to localhost.» If the port is closed, you will see a message saying «Connection refused.»

By following these steps and checking your firewall settings, you should be able to fix the Pyspark error «Java gateway process exited before sending its port number».

Источник