aws-glue-samples | AWS Glue code samples | AWS library

by aws-samples Python Version: Current License: MIT-0

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kandi X-RAY | aws-glue-samples Summary

aws-glue-samples is a Python library typically used in Cloud, AWS applications. aws-glue-samples has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However aws-glue-samples build file is not available. You can download it from GitHub.

This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilities. You can find the AWS Glue open-source Python libraries in a separate repository at: awslabs/aws-glue-libs.

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aws-glue-samples has a medium active ecosystem.

It has 1263 star(s) with 732 fork(s). There are 76 watchers for this library.

It had no major release in the last 6 months.

There are 18 open issues and 61 have been closed. On average issues are closed in 320 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of aws-glue-samples is current.

Quality

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

Security

aws-glue-samples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

aws-glue-samples code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

aws-glue-samples is licensed under the MIT-0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

aws-glue-samples releases are not available. You will need to build from source code and install.

aws-glue-samples has no build file. You will be need to create the build yourself to build the component from source.

aws-glue-samples saves you 1523 person hours of effort in developing the same functionality from scratch.

It has 5674 lines of code, 291 functions and 85 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed aws-glue-samples and discovered the below as its top functions. This is intended to give you an instant insight into aws-glue-samples implemented functionality, and help decide if they suit your requirements.

Grant all databases to IAM
Extend l1 with l2
Revokes all permissions
Get the database name for a resource
Return the catalog ID for a resource
Synchronize a job
Copy a job script to destination
Organize job parameter
Recursively replace parameters with mapping
Handles command line options
Validate region
Transforms a HiveMetastore
Load configuration file from S3
Backup table versions
Read databases from a catalog
Parse command line arguments
Create a new crawler from commandline options
This method is used to transform the tables into foreign keys
Register methods to the DataFrame
De - register all data points
Join other columns together
Create an etl from hive metastore
Export hive data to METAL
Grant CREATE DB permission to IAM
Main migration entry point
Update data lake settings

Get all kandi verified functions for this library.

aws-glue-samples Key Features

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

aws-glue-samples Examples and Code Snippets

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

Community Discussions

Trending Discussions on aws-glue-samples

Merging multiple parquet files and creating a larger parquet file in s3 using AWS glue

UnitTesting Python scripts

AWS Glue Dynamic Filtering - Filter one dynamic frame using another dynamic frame

AWS Glue ETL"Failed to delete key: target_folder/_temporary" caused by S3 exception "Please reduce your request rate"

QUESTION

Merging multiple parquet files and creating a larger parquet file in s3 using AWS glue

Asked 2021-Feb-17 at 23:07

I am trying to merge multiple parquet files using aws glue job. I am aware of the similar question and the possible solution mentioned here. I have tried it and it doesn't seem to work. Here is my sample code:

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ANSWER

Answered 2021-Feb-17 at 23:07

Found the fault. I have written

Source https://stackoverflow.com/questions/66251048

QUESTION

UnitTesting Python scripts

Asked 2020-Nov-09 at 10:24

I am Python newbie.

Is that possible to test Python script without wrapping code in functions / classes?

Let's say I want to cover with UTs this script https://github.com/aws-samples/aws-glue-samples/blob/master/examples/join_and_relationalize.py

Is that possible to write some UT https://docs.python.org/3/library/unittest.html for it ?

The issue is: I can not run methods/functions in AWS Glue but only script is enter point for that Framework.

https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python.html

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ANSWER

Answered 2020-Nov-09 at 10:24

Is that possible to test Python script without wrapping code in functions / classes?

You can just create unit tests which run the script itself (using subprocess for instance, checking that it has the correct retval / output).

The issue is: I can not run methods/functions in AWS Glue but only script is enter point for that Framework.

That doesn't actually preclude writing functions (or even classes) unless AWS Glue specifically forbids doing so (which I'd find rather unlikely).

It's rather common for Python files to be both runnable scripts and importable libraries. You just need to "gate" the script entry point:

Source https://stackoverflow.com/questions/64749663

QUESTION

AWS Glue Dynamic Filtering - Filter one dynamic frame using another dynamic frame

Asked 2020-May-04 at 15:59

I am trying to filter dynamic filtering based on the data residing in another dynamic frame , i am working on join and relational example , in this code person and membership dynamic frames are joined by id but i would like to filter persons based on id present in membership DF , below is code where i put static values

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ANSWER

Answered 2020-May-04 at 15:59

You can simply perform the inner join instead of filtering like

Source https://stackoverflow.com/questions/61561696

QUESTION

AWS Glue ETL"Failed to delete key: target_folder/_temporary" caused by S3 exception "Please reduce your request rate"

Asked 2020-Jan-20 at 12:44

Glue job configured to max 10 nodes capacity, 1 job in parallel and no retries on failure is giving an error "Failed to delete key: target_folder/_temporary", and according to stacktrace the issue is that S3 service starts blocking the Glue requests due to the amount of requests: "AmazonS3Exception: Please reduce your request rate."

Note: The issue is not with IAM as the IAM role that glue job is using has permissions to delete objects in S3.

I found a suggestion for this issue on GitHub with a proposition of reducing the worker count: https://github.com/aws-samples/aws-glue-samples/issues/20

"I've had success reducing the number of workers."

However, I don't think that 10 is too many workers and would even like to actually increase the worker count to 20 to speed up the ETL.

Did anyone have any success who faced this issue? How would I go about solving it?

Shortened stacktrace:

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ANSWER

Answered 2020-Jan-15 at 13:11

I had this same issue. I worked around it by running repartition(x) on the dynamic frame before writing to S3. This forces x files per partition and the max parallelism during the write process will be x, reducing S3 the request rate.

I set x to 1 as I wanted 1 parquet file per partition so I'm not sure what the safe upper limit of parallelism you can have is before the request rate gets too high.

I couldn't figure out a nicer way to solve this issue, it's annoying because you have so much idle capacity during the write process.

Hope that helps.

Source https://stackoverflow.com/questions/59734196

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

Vulnerabilities

No vulnerabilities reported

Install aws-glue-samples

You can download it from GitHub.
You can use aws-glue-samples 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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