Pyspark exit code. And code written for Spark is no different.

Pyspark exit code By default, pyspark creates a Spark context which internally creates a Web UI with URL localhost:4040. types import * spark = SparkSession. PySpark 如何在使用PySpark的EMR 5. Then i limit columns to Code is pretty simple : load 2 dataframes from SqlServer join them write the result to Mysql Total data size is around 10. 167]Container exited with a non-zero exit code 143. This code work perfectly in this enviorement but when I try run it on Glue, the code finish with the next Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Exit status: 143. _exit() method in Python is used to exit the process with specified status without calling cleanup handlers, flushing stdio buffers, etc. xxxx. Modified 6 years, 4 months ago. exit() as a builtin is really only intended for interactive use. The above mentioned two folders are present in spark/python folder of your spark installation. But when i run one streaming job i got the following error:- Container exited with a non-zero exit code 134. 993]Container killed on request. Note: This method is normally used in the child process after os. Diagnostics: Exception from container-launch. I think it was because of network problem. executor. x. [2024-03-10 11:17:07. types import FloatType,StructField,StringType,IntegerType,StructType from pyspark. Column: Represents a column expression in a DataFrame. Other details about Spark exit codes can be found in this question. exceptAll(df2). 0 and 4. markdown When the following messages appear in Spark application logs INFO Worker: Executor app-20170606030259-0000/27 finished with state KILLED exitStatus 143 INFO Worker: Executor app-20170606030259-0000/0 finished with state KILLED exitStatus 137 In case that you are using an if statement inside a try, you are going to need more than one sys. If yes, there is a difference in the dataframes and we return False. Thanks for the question and using MS Q&A platform. To see the JIRA board tickets for the PySpark test framework, see here. com): java. My Apache Spark job on Amazon EMR fails with a "Container killed on request" stage failure: Caused by: org. But I didn't stop the script. take(1)) > 0 is used to find if the returned dataframe is non-empty. Before I found the correct way of doing things (Last over a Window), I had a loop that extended the value of a previous row to itself one by one (I know loops are bad practice). context import SparkContext from pyspark. If you want to ignore this SIGSEGV signal, you can do this:. 3 in stage 4267. sql import SparkSession from pyspark. S: I followed all the instructions and documentations needed to run this. /do_instructions. commit(), glue job will be failed. © Copyright . When I check the UI and I click on a given executor I see the following in Exit code 12 is a standard exit code in linux to signal out of memory. Regardless of an error, we want to exit the program. 3. _exit() terminates immediately at the C level and does not perform any of the normal tear-downs of the interpreter. exit() to actually exit the program. I try to copy this table to HDFS with pySpark. To exit the PySpark shell and return to your terminal or command prompt, you must type Write PySpark Code; Now, it's time to write your PySpark code within the script. pyspark; hadoop-yarn; Share. regression import RandomForestRegressor from pyspark. exit(0) -> This comes with sys module and you can use this as well to exit your job. I have a table in Oracle, it contains 1000 colums. pyspark. commit() os. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Source Code for Module pyspark. To pass parameters, please make sure the cell has marked to parameter cell as shown below. enabled=true, --conf spark. Spark command: spark- PySpark 退出代码和退出状态是否在spark中有任何意义 在本文中，我们将介绍PySpark中的退出代码和退出状态是否在spark中有任何意义。 阅读更多：PySpark 教程 什么是退出代码和退出状态？ 退出代码和退出状态通常被用来表示程序的运行结果。当一个程序终止时，会返回一个退出代码和一个退出状态 This way, when the exception is raised, the code execution in that cell will stop, and you can choose to handle the exception as required. The final solution is: import os if df. rdd. What's the problem? Python version is 3. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Diagnostics: Container killed on request. If you're using a different environment or have specific requirements, please provide more details for a more tailored solution. When I start a pyspark console or open a Livy notebook they get the worker assigned but not when I use the spark-submit option – Thagor The convert. And code written for Spark is no different. In software development we often unit test our code (hopefully). 1. Python Online Compiler. I want to have the option to return another exit code - for a state that my application succeeded with some errors. foo. Real code Diagnostics: Container killed on request. Package pyspark:: Module daemon | no frames] Module daemon. from some_package import sample_script def test_exit(): with pytest. 0 (TID 739, gsta31371. Python dominance in the data science realm makes PySpark an ideal choice for our business-oriented project. SparkMain], exit code [2] I tought it is permission issue, so I set the hdfs folder -chmod 777 and my local folder also to chmod 777 I am using spark 1. For example, you are parsing an argument when calling the execution of some file, e. arrow. – Yuri Ginsburg Commented Jul 1, 2020 at 5:38 I'm facing an issue with a Spark job that runs daily. 5 version of operator with spark-2. Hot Network I am trying to execute a hello world like program in pyspark. commit. Exit code 12 is a standard exit code in linux to signal out of memory. The script that I'm using is this one: spark = SparkSession \\ . The problem is with large window functions that cant reduce the data till the last one which contains all the data. markdown When the following messages appear in Spark application logs INFO Worker: Executor app-20170606030259-0000/27 finished with state KILLED exitStatus 143 INFO Worker: Executor app-20170606030259-0000/0 finished with state KILLED exitStatus 137 After that everything is working fine, spark jobs are running, pyspark shell is running. I'm using Visual Studio Code as my editor here, mostly because I think it's brilliant, but other editors are available. code 90 finally: 91 outfile. types import Some hints on Dataproc When running a job in pyspark uses the builtin exit() function a lot. sql import HiveContext conf = SparkConf() sc = SparkContext(conf=conf) sqlContext = HiveContext(sc) df = sqlContext. It is a CLI tool that provides a Python interpreter with access to Spark functionalities, enabling users to execute Command failed with exit code 10 / Command failed with exit code 10. sql import SparkSession import pyspark from pyspark. I need to change the versions exit(0): This causes the program to exit with a successful termination. Exit status: 137. Please reduce the memory usage of your function or consider using a larger cluster. answered 2 years ago rePost-User In Zeppelin with pyspark. SQLSTATE: 39000. daemon 85 exit_code = 0 86 try: 87 worker_main(infile, outfile) 88 except SystemExit as exc: 89 exit_code = exc. Neither exit codes and status nor signals are Spark specific but part of the way processes work on Unix-like systems. @liyinan926 We are using v1beta2-1. 2- Make sure that your python code starts a spark session, I forgot that I removed that when I was experimenting. master("local[2]"). first(), . 0 in stage 0. I have created an EMR cluster thru boto3 and have added the step to execute my code. An exit status is a number between 0 and 255 which Alternatively, you can also try Ctrl+z to exit from the pyspark shell. streams. ml. But it faild with error: **Container marked as failed. DataFrame: Represents a distributed collection of data grouped into named columns. Write, Run & Share Python code online using OneCompiler's Python online compiler for free. Exit Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Once you put the exit(1) inside the if block as suggested, you can test for SystemExit exception:. flush() 92 sock. SparkMain], exit code [1] The 143 exit code is from the metrics collector which is down. Throughout the process, we documented the code. Reinstalling the program may fix this problem. memory Here is the code: from pyspark. Also seems redundant to write conf = conf since you already specified it in your first line. Function exceeded the limit of <limitMb> megabytes. code == 42 >>> Invoking Spark class now >>> Intercepting System. You can try and let me know. You can even pass any values in the parenthesis to print based on your requirement. 11 : SIGSEGV - This signal is arises when a memory segement is illegally accessed. EOF). Since when I added this part to spark-submit every thing worked fine. Exit code is 143 Container exited with a non-zero exit code 143 Killed by external signal 16/12/06 19:44:08 ERROR YarnClusterScheduler: Lost executor 1 on hdp4: Container marked as failed: container_e33_1480922439133_0845_02_000002 on host: hdp4. next. To see the code for PySpark built-in test utils, check out the Spark repository here. SystemExit: Age less than 18 os. This is what I see Problem solved. source code. I am a newbie to Spark. spark. Talk is cheap, let's code! Let's start with a PySpark. config(). len(df1. The pyspark code used in this article reads a S3 csv file and writes it into a delta table in append mode. apache-spark; hadoop-yarn; apache-spark-sql; Share. Which is exactly what I was looking for. Spark submit parameters are like below. value. evaluation [2022-08-10 17:43:17. Restart pycharm to update index. close() 93 os. The job is submitted via a shell script, which waits for the job's completion and checks its return code. Exit code is 143**. 0 failed 4 times, most recent failure: Lost task 3. _exit() The code simulates this PySpark process invocation to test if the PySpark has been started. Build the image with dependencies and push the docker image to AWS ECR using the below command. After the write operation is complete, spark code displays the delta table records. maxResultSize=0. ip-10-43-67-156. Spark Job fails at saveAsHadoopDataset stage due to Lost Executor due to some unknown reason. type == SystemExit assert pytest_wrapped_e. Exit code is 143 [2020-08-14 05:30:26. 在本文中，我们将介绍如何在使用PySpark的EMR 5. Let’s understand a few statements from the above screenshot. sql("select id, name, start_date from Hello @TerriblyVexed ,. markdown When the following messages appear in Spark application logs INFO Worker: Executor app-20170606030259-0000/27 finished with Use one or more of the following methods to resolve "Exit status: 137" stage failures. In the positive test case, we can see the exit command return a success message. Hey Jenkins, please fail If the above approach does not work, then. not kill the kernel on exit; not display a full traceback (no traceback for use in IPython shell) not force you to entrench code with try/excepts; work with or without IPython, without changes in code; Just import 'exit' from the code beneath into your jupyter notebook (IPython notebook) and calling 'exit()' should work. 7. Using sys. SIGSEGV, signal. I did execute spark. What could be causing spark to fail? The crash seems to happen during the conversion of an RDD to a Dataframe: val df = sqlc. But as far as I understood it task nodes are optional anyway. dbutils. py 821 such as: import sys # index number 1 is used to pass a set of instructions to parse # allowed values are integer numbers from 1 to 4, What are your heap settings for YARN? How about min, max container size? Memory overhead for Spark executors and driver? At first blush it appears the memory problem is not from your Spark allocation. 0 (TID 23, ip-xxx-xxx-xx-xxx. sql import SQLContext from pyspark. Spark job restarted after showing all jobs completed and then fails (TimeoutException: Futures timed out after [300 seconds]) 27. Soma Sekhar K. On many systems, exit(1) signals some sort of failure, however there is no guarantee. createDataFrame(processedData, schema). After some surfing the Internet I found out an issue on winutils project of Steve Loughran: Windows 10: winutils. exit is called before job. Value(c_bool, False) previous. [2022-08-10 17:43:17. Let us look at a simple example that reads and displays the contents of a CSV file- pyspark. signal(signal. e. MEMORY_LIMIT. Is it possible? to return different exit code from the application? Exit status: 143. It is also possible to use %edit magic which opens external editor and executes code on exit. 996]Container exited with a non-zero exit code 137. I am currently setting up an Oozie workflow that uses a Spark action. This is my code to load the model: from pyspark. hrlogix. Spark set the default amount of memory to use per executor process to be 1gb. oozie. linalg. Building the demo library. hadoop. created 2 years ago. In a new notebook paste the following PySpark sample code: import pyspark from pyspark import SparkContext sc =SparkContext() Hello @Yan Xia , . if [ $? -eq 1 ]; exit 1 Launcher ERROR, reason: Main class [org. stop() at the end, but when I open my terminal, I'm still see the spark process there ps -ef | grep spark So everytime I have to kill spark process ID manually. In summary, exiting the PySpark shell involves using the exit() or quit() functions, or pressing Ctrl+z. Diagnostics: Container killed on request. . exe doesn't work. 665]Container killed on request. And made all the necessary configs. os. Row: Represents a row of data in a DataFrame. The shell is an interactive environment for running PySpark code. Still got the exit code 137. 3,072 2 2 As I see now, exit code of spark-submit is decided according to the related yarn application - if SUCCEEDED status is 0, otherwise 1. Test. builder Exit status: 137. This is specific to Spark installed with Homebrew on Apple silicon, but the idea and approach will be applicable to other platforms. Spark executor exit code. 997]Killed by external signal I am running my application with the following configuration: sudo yum update -y sudo yum install -y docker sudo service docker start sudo user-mod -a -G docker ec2-user exit Step 3: Reopen the connection and install Spark. compute. $. feature import Normalizer from pyspark. Like I said before I already ran this on another cluster. builder \\ PySpark Tutorial: PySpark is a powerful open-source framework built on Apache Spark, designed to simplify and accelerate large-scale data processing and. The subsequent cells will not be executed. P. 4. apache. Cell1:[Marked as parameters]. us. exit(1) code) and try to capture the output of the spark-submit command using $? operator. The python file is like below #!/usr/bin/env python from datetime import datetime from pyspark import SparkContext, SparkConf from pyspark. sql. internal, executor 4): ExecutorLostFailure (executor 4 exited caused by one of My spark program is failing and neither the scheduler, driver or executors are providing any sort of useful error, apart from Exit status 137. Anyone knows how to solve this problem? Output: An exception has occurred, use %tb to see the full traceback. Here’s a simplified version of the Spark code: Container exited with a non-zero exit code 50. Now, lets fix your code using this knowledge. 4 spark executors keeps getting killed with exit code 1 and we are seeing following exception in the executor which g I'm trying to run a Spark session in Visual Studio Code with a simple Python script like this: from pyspark. 17/10/11 14:19:28 ERROR cluster. Exit code is 143 Container exited with a non-zero exit code 143 Killed by external signal My data set is 80GB Operation i did is create some square, interaction features, so maybe double the number of columns. _exit(n) in Python. Exit status: 134. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. What happens when I submit the job is that spark will continuously try to create different executors as if its retrying but they all exit with code 1, and I have to kill it in order to stop. 111 1 1 Spark executor exit code. 687]Container exited with a non-zero exit code -1. mllib. x版本中，遇到Exit code 137和Java heap space错误时解决的方法。 这些错误通常在使用Spark on Yarn过程中出现，当任务在运行时因内存不足而失败时会引发这些问题。 I want to stop my spark instance here once I complete my job running on Jupyter notebook. 0 in yarn cluster mode, job exists with exitCode: -1000 without any other clues. In certain Python environments exit is not is not defined as a builtin. --conf spark. Using reusable functions with PySpark, combined with the power of reduce and lambda functions, provides benefits that go beyond simplicity in the code. The declaration of the msg variable just tells the parent program the condition of the execution. It's one of the robust, feature-rich online Go to the site-packages folder of your anaconda/python installation, Copy paste the pyspark and pyspark. In this article. . By default, pyspark creates a Spark context which internally creates a Web UI with URL Spark executor exit code. Try to split the code into two cells and first cell At the moment I use 1 master and 1 core node. g. Step is : 'Name': 'Run Step', I am computing the cosine similarity between all the rows of a dataframe with the following code : from pyspark. SparkException: Job aborted due to stage failure: Task 2 in stage 3. 2 GB. raises(SystemExit) as pytest_wrapped_e: sample_script() assert pytest_wrapped_e. Functions : should_exit source code : compute_real_exit_code (exit_code) source code : worker (listen_sock) source code : launch_worker (listen_sock) source code : manager source code: Variables : POOLSIZE = 4 : exit_flag = multiprocessing. Exit status: 143. Since it is unable to bind on 4040 for me it was created on 4042 port. Exit status and exit codes are different names for the same thing. Pyspark: Container exited with a non-zero exit code 143. Exit code is 137 Container exited with a non-zero exit code 137 Killed by external signal. Standard Python shell doesn't provide similar functionality. Below is a code snippet to help The code execution cannot proceed because MSVCR100. Same job runs properly in local mode. For your 2nd point, we can raise an exception using raise. Increase driver or executor memory Increase container memory by tuning the spark. fork() system call. 0 failed 4 times, most recent failure: Lost task 2. By stacking transformations within a single DataFrame and avoiding unnecessary repetition, we not only keep our code more organized, readable, and maintainable but also ensure greater efficiency I'm using Jupyter notebook with PySpark, which uses Spark as a kernel. Diagnostics: [2019-05-14 19:19:23. Example: customers. execution. linalg import Vectors from pyspark. persist() To exit from the pyspark shell use quit(), exit() or Ctrl-D (i. The Spark code that I use works correctly, tested on both local and YARN. For me the better way was to re-raise the same exception I got after handling I've added some reporting I need in except: step, but then reraise, so job has status FAIL and logged exception in the last cell result. You can load this file into a DataFrame using PySpark and apply various transformations and actions on it. Follow asked Aug 14, 2020 at 6:32. notebook. Container id: container_0000000000001_0001_01_000001 Exit code ExecutorLostFailure (executor 8 exited caused by one of the running tasks) Reason: Container from a bad node: container_1610292825631_0097_01_000013 on host: ip-xx-xxx-xx-xx. Ask Question Asked 6 years, 4 months ago. exit(1): This causes the program to exit with a system-specific meaning. 0. As I recall, the C standard only recognizes three standard exit values: EXIT_SUCCESS-- successful termination Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I use PySpark in the Jupyter Notebook as well but why are you building it? You can simply append the Spark path to your bash profile. Prateek Pathak Prateek Pathak. aws. Provide details and share your research! But avoid . Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Job aborted due to stage failure: Task 3 in stage 4267. OutOfMemoryError: GC overhead limit exceeded at I have a SPARK job that keeps returning with Exit Code 1 and I am not able to figure out what this particular exit code means and why is the application returning with this code. The customers. exit() --> This will stop the job. 665]Container exited with a non Call sys. action. Comment Share. Please note that, if sys. Exit code is 143 Container exited with a non-zero exit code 143 Killed by external signal 16/09/01 18:11:39 WARN TaskSetManager: Lost task 503. Exit code is 137 [2024-03-10 11:17:07. These datasets can be used to test your PySpark code and understand how to work with real-world data. For example, you can read data, perform transformations, or run Spark SQL queries. The Jobs are killed, as far as I understand, due to no memory issues. host=x. dll was not found. csv. collect() or creating a dataframe from the RDD leads to the following error: Diagnostics: Exception from container-launch. When I stop the script manually in PyCharm, process finished with exit code 137. exit(STATUS_CODE) #Status code can be any; Code strategically in conditions, such that job doesn't have any lines of code after job. Container id: container_XXXX_0001_01_000033 Exit code: 50 Stack trace: ExitCodeException Why does Spark job fail with "Exit code: 52" 1. x In fact, I run this: I have a python script that I will be executing using Pyspark. Asking for help, clarification, or responding to other answers. YarnScheduler: Lost executor 1 on com2: Container marked as failed: container_1507683879816_0006_01_000002 on host: com2. The Spark version is 3. feature import VectorAssembler from pyspark. 2-2. So here I want to run through an example of building a small library using PySpark and unit testing it. But when i reverted back all the changes, its working fine. appName("SparkByExamples"). Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company the above program will exited with exit 1 with following message. builder. After some test, I discovered from @Glyph's answer that :. Conclusion. The os. While Apache Spark offers support for various languages 1. This way you'll get code completion suggestions also from pycharm. Run the code below to make sure PySpark is invoked. Both will work. PySpark EMR step fails with exit code 1. va. 2. CDMList = '' DBList = '' The above code will throw an Exception as df_2 has "Bill" while df_1 does not. PySpark is essentially Apache Spark tailored to integrate smoothly with Python. Exit status and exit code. The problem is that I'm not sure how to properly close it and I have an impression that something keeps hanging, as the memory on the driver on which the notebook is running gets full and crashes (I get GC overhead exception). One possible fix is to set the maximizeResourceAllocation flag to true. 3 in stage 3. To view the docs for PySpark test utils, see here. Similarly, in the Spark shell (spark To exit from the pyspark shell use quit(), exit() or Ctrl-D (i. csv file is a sample dataset that contains customer information. Try to split the code into two cells and first cell should be marked as toggle parameter cell and modify the code as shown below:. In shell script, run your spark-submit and after that (with the above System. SparkSession. Diagnostics: [2024-03-10 11:17:07. To work with Python in Jupyter Notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Jupyter package. train() method. 0) The line where it fails is, Value : spark. I'm pretty confused what exactly is going on, and finding it difficult to interpret the output of my syserr: 18/07/28 06:40:10 INFO Client Container id: container_e147_1638930204378_0001_02_000001 Exit code: 13 Exception message: Launch container failed Shell output: main : command provided 1 main : run as user is dv-svc-den-refinitiv main : requested yarn I have been struggling to run sample job with spark 2. 0. driver. The file is located in: /home/hadoop/. However, the step will run for a few minutes, and then return an exit code of 1. amazon-web-services; apache-spark; pyspark; hadoop-yarn; amazon-emr; Share. lang. Virgil Virgil. x版本中，遇到Exit code 137和Java heap space错误时解决的方法. 6, process finished when running xgboost. pyspark. 0 (TID 41247) (<some ip_address> executor 18): ExecutorLostFailure (executor 18 exited caused by one of the running tasks) Reason: Command exited with code 50 Testing PySpark¶ This guide is a reference for writing robust tests for PySpark code. The first one executes code from the clipboard automatically, the second one is closer to Scala REPL :paste and requires termination by --or Ctrl-D. getOrCreate(); spark. SIG_IGN) However, ignoring the signal can cause some inappropriate behaviours to your code, so it is from pyspark import sparksession spark = sparksession. Follow asked Feb 17, 2016 at 9:04. There is a module name signal in python through which you can handle this kind of OS signals. SparkSession: Represents the main entry point for DataFrame and SQL functionality. distributed import IndexedRow, 143. We have already tried playing 1. take(5), . After reading in a text file into an RDD, calling any method such as . com. py script is running using PySpark with Python 3. EMR won't override this value regardless the amount of memory available on the cluster's nodes/master. However, when running it as an Oozie workflow I am getting the following error: Main class [org. exit(1) <<< Invocation of Main class completed <<< Failing Oozie Launcher, Main class [org. Exit code is 143 [2019-05-14 19:19:23. isEmpty(): job. egg-info folders there. 6. In the case of exit code 143, it signifies that the JVM received a SIGTERM - essentially a unix kill signal (see this post for more exit codes and an explanation). The standard way to It took me a while to figure out what "exit code 52" means, so I'm putting this up here for the benefit of others who might be searching. Exit code is 143 Container exited with a non-zero exit code 143 Killed by external signal 16/09/01 18:11:39 WARN TaskSetManager: What happens when I submit the job is that spark will continuously try to create different executors as if its retrying but they all exit with code 1, and I have to kill it in order to Hello @TerriblyVexed ,. Since you didn't terminate this yourself, Hi everyone I programmed a processing of data on Jupyter Notebook (SageMaker) with the awswrangler library. Execution failed. _exit(compute_real_exit_code(exit_code)) It is always good to check the exit code of external program and print process; stderr in case of abnormal termination. 3- Make sure there are no problems in the code it self and test it on another machine to check if it works properly Spark passes through exit codes when they're over 128, which is often the case with JVM errors. I'm trying to read a local csv file within an EMR cluster. Improve this question. Based on this return code, the shell wrapper sends success or failure emails. Code works in glue notebook but fails in glue job ( tried both glue 3. signal. SparkMain], exit code [1] Oozie Launcher failed, finishing Hadoop job gracefully Oozie Launcher, uploading action data to HDFS sequence file: Container id: container_e147_1638930204378_0001_02_000001 Exit code: 13 Exception message: Launch container failed Shell output: main : command provided 1 main : run as user is dv-svc-den-refinitiv main : requested yarn user is dv-svc-den-refinitiv Getting exit code file We can see that an notebook exit is considered an exception. amqqfp cipyz kymz yewkaa lmxk nflbezc atwdjus kjrp uxugfvy bmiib