spark-monitoring | Monitoring Azure Databricks jobs | Azure library

by mspnp Scala Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | spark-monitoring Summary

spark-monitoring is a Scala library typically used in Cloud, Azure applications. spark-monitoring has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Monitoring Azure Databricks jobs

Support

Quality

Security

License

Reuse

Support

spark-monitoring has a low active ecosystem.

It has 176 star(s) with 144 fork(s). There are 33 watchers for this library.

It had no major release in the last 6 months.

There are 24 open issues and 91 have been closed. On average issues are closed in 61 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spark-monitoring is current.

Quality

spark-monitoring has 0 bugs and 0 code smells.

Security

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

spark-monitoring code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

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

Installation instructions, examples and code snippets are available.

It has 5155 lines of code, 254 functions and 54 files.

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

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spark-monitoring Key Features

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spark-monitoring Examples and Code Snippets

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

Community Discussions

Trending Discussions on spark-monitoring

Import saved KQL queries from ARM template to Azure Log Analytics

Databricks spark monitoring on Azure for Spark 3.0.0 and Scala 2.12

QUESTION

Import saved KQL queries from ARM template to Azure Log Analytics

Asked 2021-Apr-02 at 02:27

I've been setting up monitoring Azure Databricks in an Azure Log Analytics Workspace and managed to get logs going to an existing log analytics workspace I have.

However, I failed to notice that an ARM template was supplied for setting up a new workspace that contains a bunch of useful KQL saved queries.

I would like those saved queries in the log analytics instance I've started out with already, is there a way I can import them?

I've noticed there is an API for creating or updating saved queries, however, this seems to only create / update individual queries and I would prefer to import all the queries mentioned in the above link in one go. Is this possible?

...

ANSWER

Answered 2021-Apr-02 at 02:27

No, there is no such feature for importing them.

You should create these saved queries by yourself, by using azure portal, or Saved Searches - Create Or Update rest api, or azure cli commands: az monitor log-analytics workspace saved-search create etc.

Source https://stackoverflow.com/questions/66803415

QUESTION

Databricks spark monitoring on Azure for Spark 3.0.0 and Scala 2.12

Asked 2020-Oct-15 at 13:01

I have a Azure Databricks cluster that runs a cluster with Databricks version 7.1 (Spark 3.0.0 and Scala 2.12). I'm trying to send the Azure Databricks application logs to the Azure monitor, so I'm following this documentation.

In order to do so, I'm trying to build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file as described in the GitHub readme.

To compile it, I need to edit the POM to create a Maven profile that includes my current Spark and Scala versions, so I have the following profile:

...

ANSWER

Answered 2020-Oct-15 at 13:01

The library does not support Spark 3.0.0 and above yet. Issue 92 on the repo (https://github.com/mspnp/spark-monitoring/issues/92) shows the conversation and a comment that Microsoft will work on it this quarter but no timeline provided for when it will be available. One comment in the issue is from someone who created a branch and got it working, but some tests had to be removed so I am not using it on my project unless I put more work into understanding the changes.

Source https://stackoverflow.com/questions/64059242

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

Vulnerabilities

No vulnerabilities reported

Install spark-monitoring

You can build the library using either Docker or Maven. All commands are intended to be run from the base directory of the repository.

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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