spark-redshift | Redshift data source for Apache Spark

by databricks Scala Version: v3.0.0-preview1 License: Apache-2.0

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

kandi X-RAY | spark-redshift Summary

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

Redshift data source for Apache Spark

Support

Quality

Security

License

Reuse

Support

spark-redshift has a low active ecosystem.

It has 593 star(s) with 341 fork(s). There are 172 watchers for this library.

It had no major release in the last 12 months.

There are 135 open issues and 169 have been closed. On average issues are closed in 69 days. There are 15 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spark-redshift is v3.0.0-preview1

Quality

spark-redshift has 0 bugs and 0 code smells.

Security

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

spark-redshift code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-redshift is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

spark-redshift releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 4367 lines of code, 191 functions and 47 files.

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

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spark-redshift Key Features

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

spark-redshift Examples and Code Snippets

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

Community Discussions

Trending Discussions on spark-redshift

java.lang.VerifyError: Operand stack overflow for google-ads API and SBT

Read from AWS Redshift using Databricks (and Apache Spark)

AWS emr driver jars

Not able to write csv data in aws redshift using spark(sqlContext)

QUESTION

java.lang.VerifyError: Operand stack overflow for google-ads API and SBT

Asked 2022-Mar-03 at 07:10

I am trying to migrate from Google-AdWords to google-ads-v10 API in spark 3.1.1 in EMR. I am facing some dependency issues due to conflicts with existing jars. Initially, we were facing a dependency related to Protobuf jar:

...

ANSWER

Answered 2022-Mar-02 at 18:58

I had a similar issue and I changed the assembly merge strategy to this:

Source https://stackoverflow.com/questions/71322912

QUESTION

Read from AWS Redshift using Databricks (and Apache Spark)

Asked 2022-Feb-22 at 16:07

I'm trying to execute SQL SELECT command using Databricks with AWS Redshift.

I went through https://github.com/databricks/spark-redshift README and configure:

Spark driver to Redshift - I'm passing user and password options
Spark to S3 - I've mount AWS S3 using dbfs mount.
Redshift to S3 - I'm passing temporary_aws_access_key_id, temporary_aws_secret_access_key, temporary_aws_session_token

NOTE This is a kind of Proof of Concept so I'm ignoring all security details like encryptions.

Below configuration I used in my Databricks Notebook: ...

ANSWER

Answered 2022-Feb-18 at 19:36

one of the errors could be in option('url'). it should be jdbc:redshift not jdbc:postgresql, use redshift and re-try

Source https://stackoverflow.com/questions/71176311

QUESTION

AWS emr driver jars

Asked 2021-Feb-26 at 17:26

I'm trying to use external drivers in AWS EMR 5.29 on pyspark notebooks via:

...

ANSWER

Answered 2021-Feb-26 at 17:26

Actually the way to troubleshoot this is to SSH into the master node and then look at the ivy logs:

/mnt/var/log/livy/livy-livy-server.out

and the downloaded jar files at

/var/lib/livy/.ivy2/jars/

based on what I found out I changed my code to:

Source https://stackoverflow.com/questions/66387589

QUESTION

Not able to write csv data in aws redshift using spark(sqlContext)

Asked 2020-Oct-06 at 12:47

spark version 2.4.1
artifact - spark-*_2.11

...

ANSWER

Answered 2020-Oct-06 at 12:47

Try providing your credentials separately:

Source https://stackoverflow.com/questions/64200347

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

Vulnerabilities

No vulnerabilities reported

Install spark-redshift

This library requires Apache Spark 2.0+ and Amazon Redshift 1.0.963+. For version that works with Spark 1.x, please check for the 1.x branch.

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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