spark-etl | Apache Spark based ETL Engine | Data Migration library

by vngrs Scala Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | spark-etl Summary

spark-etl is a Scala library typically used in Migration, Data Migration, Spark applications. spark-etl has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The ETL(Extract-Transform-Load) process is a key component of many data management operations, including move data and to transform the data from one format to another. To effectively support these operations, spark-etl is providing a distributed solution.

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Quality

Security

License

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Support

spark-etl has a low active ecosystem.

It has 67 star(s) with 30 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spark-etl is current.

Quality

spark-etl has no bugs reported.

Security

spark-etl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

spark-etl is licensed under the MIT License. This license is Permissive.

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

Reuse

spark-etl releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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spark-etl Key Features

No Key Features are available at this moment for spark-etl.

spark-etl Examples and Code Snippets

No Code Snippets are available at this moment for spark-etl.

Community Discussions

Trending Discussions on spark-etl

Save multiple csv files to PostgreSQL database using copy command through spark Scala at the same time opening multiple connections

How to rewind Job Bookmarks on Glue Spark ETL job?

NoSuchMethodError Spark internal logging

In build.sbt, dependencies in parent project not reflected in child modules

QUESTION

Save multiple csv files to PostgreSQL database using copy command through spark Scala at the same time opening multiple connections

Asked 2021-Mar-20 at 05:11

I want to use copy command to save multiple csv files in parallel to PostgreSQL database. I am able to save a single csv file to PostgreSQL using copy command. I don't want to save the csv files one by one to the PostgreSQL as it would be sequential and I would be wasting the cluster resources as it has lot of computing happening before it reach this state. I want a way by which I can open the csv files on each partition that I have and run multiple copy commands at the same time.

I was able to find one GitHub repo that does something similar so I tried replicating the code but I am getting the error : Task not serializable

The code that I am using is as below :

Import Statements :

...

ANSWER

Answered 2021-Mar-20 at 05:11

After spending lot of time I was able to make it work.

The changes or the things that I had to do is as below:

I had to create an object that extends from Serializable.
I had to create a function that is performing the copy operation inside foreachpartition inside that object.
call that function and it was working fine.

Below is the code that I have written to make it work.

Source https://stackoverflow.com/questions/66045632

QUESTION

How to rewind Job Bookmarks on Glue Spark ETL job?

Asked 2019-Nov-01 at 07:37

I have read here that now Glue provides the ability to rewind job bookmarks for Spark ETL job.

Still, I haven't been able to find any information on how to do that. The sub-options in the "paused" job bookmark option seem to be useful in rewinding a job bookmark, but I can't find how to implement them (I am using Glue console.)

...

ANSWER

Answered 2019-Nov-01 at 07:37

What you need to pass following parameters in "Job parameters" section. With job bookmarks enabled.

job-bookmark-from is the run ID which represents all the input that was processed until the last successful run before and including the specified run ID.

job-bookmark-to is the run ID which represents all the input that was processed until the last successful run before and including the specified run ID. The corresponding input excluding the input identified by the is processed by the job.

Source https://stackoverflow.com/questions/58648148

QUESTION

NoSuchMethodError Spark internal logging

Asked 2019-Feb-15 at 09:48

I have packaged my application into a jar file, however, when I try to execute it, the application fails with this error:

...

ANSWER

Answered 2019-Feb-15 at 09:48

Downgrading Scala to 2.11 solved the issues. I guess there are some problems with Kafka dependencies for Scala 2.12

Source https://stackoverflow.com/questions/54406248

QUESTION

In build.sbt, dependencies in parent project not reflected in child modules

Asked 2018-Nov-23 at 14:51

I am using SBT 1.8.0 for my spark scala project in intellij idea 2017.1.6 ide. I want to create a parent project and also its children project modules. So far this is what I have in my build.sbt:

...

ANSWER

Answered 2018-Nov-23 at 13:25

My multi-module project uses the parent project only for building everything and delegate run to the 'server' project:

Source https://stackoverflow.com/questions/53446212

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

Vulnerabilities

No vulnerabilities reported

Install spark-etl

Prerequisites for building spark-etl:.
sbt clean assembly

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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