aws-glue-libs | repository contains libraries used in the AWS Glue service

 by   pandeyankit83 Python Version: Current License: Non-SPDX

kandi X-RAY | aws-glue-libs Summary

kandi X-RAY | aws-glue-libs Summary

aws-glue-libs is a Python library typically used in Big Data, Spark applications. aws-glue-libs has no bugs, it has no vulnerabilities, it has build file available and it has low support. However aws-glue-libs has a Non-SPDX License. You can download it from GitHub.

This repository contains libraries used in the AWS Glue service. These libraries extend Apache Spark with additional data types and operations for ETL workflows. They are used in code generated by the AWS Glue service and can be used in scripts submitted with Glue jobs.
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            kandi-support Support

              aws-glue-libs has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              aws-glue-libs has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of aws-glue-libs is current.

            kandi-Quality Quality

              aws-glue-libs has 0 bugs and 0 code smells.

            kandi-Security Security

              aws-glue-libs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              aws-glue-libs code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              aws-glue-libs has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              aws-glue-libs releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              It has 2276 lines of code, 300 functions and 26 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed aws-glue-libs and discovered the below as its top functions. This is intended to give you an instant insight into aws-glue-libs implemented functionality, and help decide if they suit your requirements.
            • Merge two choices
            • Recursively merge two structs
            • Check if a field has a field
            • Return field name
            • Create a dynamic data source from a catalog
            • Return a JsonOptions object
            • Create a new DataFrame from the source
            • Generates a dynamic frame from the given options
            • Writes data to Spark SQLite
            • Creates a DataSink for the given connection type
            • Describe a transform
            • Describe the class
            • Create an element from a JSON value
            • Deserialize a JSON value
            • Shows scala context
            • Returns a GlueContext object
            • Write a dynamic frame from a jdbc conf
            • Create a DataSink from a Jupyter notebook
            • Create a DataFrame from the given connection options
            • Create a DataSource for the given connection type
            • Write a dynamic frame from a catalog
            • Write a dataframe to the database
            • Convert the resolve option
            • Resolve resolved options
            Get all kandi verified functions for this library.

            aws-glue-libs Key Features

            No Key Features are available at this moment for aws-glue-libs.

            aws-glue-libs Examples and Code Snippets

            No Code Snippets are available at this moment for aws-glue-libs.

            Community Discussions

            QUESTION

            AWS Glue 3.0 container not working for Jupyter notebook local development
            Asked 2022-Jan-16 at 11:25

            I am working on Glue in AWS and trying to test and debug in local dev. I follow the instruction here https://aws.amazon.com/blogs/big-data/developing-aws-glue-etl-jobs-locally-using-a-container/ to develop Glue job locally. On that post, they use Glue 1.0 image for testing and it works as it should be. However when I load and try to dev by Glue 3.0 version; I follow the guidance steps but, I can't open Jupyter notebook on :8888 like the post said even every step seems correct.

            here my cmd to start a Jupyter notebook on Glue 3.0 container

            ...

            ANSWER

            Answered 2022-Jan-16 at 11:25

            It seems that GLUE 3.0 image has some issues with SSL. A workaround for working locally is to disable SSL (you also have to change the script paths as documentation is not updated).

            Source https://stackoverflow.com/questions/70491686

            QUESTION

            AWS Glue locally - No module named 'awsglue'
            Asked 2021-Oct-23 at 22:16

            I installed each prerequisites according to https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-libraries.html#develop-local-python and still getting No module named 'awsglue' error.

            • AWS Glue version 3.0,
            • Apache Maven from the following location: https://aws-glue-etl-artifacts.s3.amazonaws.com/glue-common/apache-maven-3.6.0-bin.tar.gz
            • AWS Glue version 3.0: https://aws-glue-etl-artifacts.s3.amazonaws.com/glue-3.0/spark-3.1.1-amzn-0-bin-3.2.1-amzn-3.tgz
            • SPARK_HOME is setup
            • ran glue-setup.sh from \\wsl$\Ubuntu-20.04\home\my_user\aws_ds\glue_libs\aws-glue-libs\bin
            • when I run spark-shell or pyspark, both are working fine

            Please help on debbuging this as I don't know where to start else.

            ...

            ANSWER

            Answered 2021-Oct-23 at 22:16

            Working solution:

            1. Make sure your Glue script is ran in the aws-glue-libs folder
            2. Sync jar files between jarsv1 in aws-glue-libs and jars in your_spark_folder (quava jar may have two versions, leave latest one)

            Installation steps to consider

            1. Get Spark on WSL2: https://phoenixnap.com/kb/install-spark-on-ubuntu
            2. Remember to run glue-setup.sh from aws-glue-libs\bin as a last step of Setting up Glue locally

            Source https://stackoverflow.com/questions/69691783

            QUESTION

            pass Github secrets to a docker github action
            Asked 2021-Jul-28 at 08:16

            Hi my devoted and beloved developers!

            Today I face trouble trying to transmit GitHub secrets to a docker GitHub action in order to use this variable in the container. I already have defined for the project the secret what_a_secret for the key CHUT.

            Here is what I currently have:

            ...

            ANSWER

            Answered 2021-Jul-28 at 08:16

            The final anwswer is: I made my code cleaner and did this :

            Source https://stackoverflow.com/questions/68548158

            QUESTION

            AWSGLUE python package - ls cannot access dir
            Asked 2021-May-14 at 11:53

            I'm trying to install local awsglue package for developing purpose on my local machine (Windows + Git Bash)

            https://github.com/awslabs/aws-glue-libs/tree/glue-1.0

            https://support.wharton.upenn.edu/help/glue-debugging

            Spark directory and py4j mentioned in below error does exist but still getting error

            Directory from which I trigger the sh is below:

            ...

            ANSWER

            Answered 2021-May-14 at 11:53

            Original install code requires few tweaks and works ok. Still need a workaround for zip.

            Source https://stackoverflow.com/questions/66491787

            QUESTION

            Calling getResolvedOptions() in Local Environment Generates KeyError
            Asked 2020-Jul-15 at 22:05

            I have a local AWS Glue environment with the AWS Glue libraries, Spark, PySpark, and everything installed.

            I'm running the following code (literally copy-past in the REPL):

            ...

            ANSWER

            Answered 2020-Jul-09 at 22:52

            From AWS documentation, --JOB_NAME is internal to AWS Glue and you should not set it.

            If you're running a local Glue setup and wish to run the job locally, you can pass the --JOB_NAME parameter when the job is submitted to gluesparksubmit. E.g.

            Source https://stackoverflow.com/questions/62641809

            QUESTION

            AWS GLUE - Local Job unable to find Region
            Asked 2020-May-28 at 09:49

            I am trying to run an AWS GLUE job locally from a docker container and I am getting the following error:

            ...

            ANSWER

            Answered 2020-May-28 at 05:59

            I have tried running the glue jobs locally from a Docker container and it worked well for me.

            I have written a blog around the same and the docker image is also avaliable on dockerhub. Not very sure of this error but if you want to use the image I am providing the link to the same

            Article: https://towardsdatascience.com/develop-glue-jobs-locally-using-docker-containers-bffc9d95bd1

            Github: https://github.com/jnshubham/aws-glue-local-etl-docker

            I don't face region issue using this, check if this helps you.

            Source https://stackoverflow.com/questions/62057846

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install aws-glue-libs

            You can download it from GitHub.
            You can use aws-glue-libs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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