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1. • • Verify from git log whether they are actually making it in the new RC or not. Check for JIRA issues with release-notes label, and make sure they are documented in relevant migration guide for breaking changes or in the release news on the website later.
     spark.apache.org/release-process.html

     Release Process | Apache Spark

2. People also ask

   How do I find the spark version?

   • There is an SQL function that returns the Spark version in the Misc Functions section: version () - Returns the Spark version. The string contains 2 fields, the first being a release version and the second being a git revision. spark-sql> SELECT version (); 3.1.2 de351e30a90dd988b133b3d00fa6218bfcaba8b8 Time-taken: 0.087 seconds, Fetched 1 row (w)

   What is the Spark SQL statement for seeing the version of Spark proces…

   stackoverflow.com/questions/75454809/what-is-the-spark-sql-statement-for-seeing-the-version-of-spark-processing-the-q

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   How do I get the status of a spark job?

   • You can use spark-submit --status (as described in Mastering Apache Spark 2.0). See the code of spark-submit for reference: SparkSubmit.printErrorAndExit( "Requesting submission statuses is only supported in standalone or Mesos mode!") I have found that it is possible to use REST API to submit, kill and get status of Spark jobs.

   How to check status of Spark applications from the command line

   stackoverflow.com/questions/37420537/how-to-check-status-of-spark-applications-from-the-command-line

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   What are spark versioning guidelines?

   • Starting with Spark 1.0.0, the Spark project follows the semantic versioning guidelines with a few deviations for its multi-module nature. Each Spark release is versioned as: [MAJOR].[FEATURE].[MAINTENANCE]. Major: All releases with the same major version number have API compatibility.

   Versioning Policy | Apache Spark

   spark.apache.org/versioning-policy.html

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   How to check running applications in Apache Spark?

   • To check running applications in Apache spark, one can check them from the web interface on the URL: My question how we can check running applications from terminal, is there any command that returns applications status? If it's for Spark Standalone or Apache Mesos cluster managers, @sb0709's answer is the way to follow.

   How to check status of Spark applications from the command line

   stackoverflow.com/questions/37420537/how-to-check-status-of-spark-applications-from-the-command-line

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   What is the role of a Release Manager in Spark?

   • In Spark, the Release Manager role involves making code changes in the branch with necessary version updates. If you are a new Release Manager, you can read up on the process from the following sections (skip this section if you have already uploaded your key). Here’s an example of gpg 2.0.12.

   Release Process | Apache Spark

   spark.apache.org/release-process.html

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   How do I check if a job is running in spark?

   • if you go to Spark UI and search for "executors" tab. There you will have the list executors that your job is running on and next to executor ID and address you will have "logs" column there you will have "stdout" & "stderr" tabs. Click on stdout and there you can see the logs those were written on your container when your job is running.

   How can I tell if my spark job is progressing? - Stack Overflow

   stackoverflow.com/questions/43152126/how-can-i-tell-if-my-spark-job-is-progressing

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3. spark.apache.org › release-processRelease Process | Apache Spark

   spark.apache.org › release-process

   • Cached

   Verify that the resources are present in https://www.apache.org/dist/spark/. It may take a while for them to be visible. This will be mirrored throughout the Apache network. Check the release checker result of the release at https://checker.apache.org/projs/spark.html.

4. stackoverflow.com › questions › 37420537How to check status of Spark applications from the command ...

   stackoverflow.com › questions › 37420537

   You can use spark-submit --status (as described in Mastering Apache Spark 2.0). spark-submit --status [submission ID] See the code of spark-submit for reference:

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6. stackoverflow.com › questions › 43152126pyspark - How can I tell if my spark job is progressing ...

   stackoverflow.com › questions › 43152126

   On the spark application UI. If you click on the link : "parquet at Nativexxxx" it would show you Details for the running stage. On that screen there would be a column "Input Size/Records". If your job is progressing the number shown in that column would change.

7. sparkbyexamples.com › spark › spark-versionsPySpark Versions Supportability Matrix - Spark By Examples

   sparkbyexamples.com › spark › spark-versions

   • Cached

   Mar 27, 2024 · Always refer to the official documentation or release notes for the specific PySpark version you use for the most accurate and updated information regarding compatible Python versions. Compatibility might vary slightly or be enhanced in minor releases within a major PySpark version.

8. medium.com › @holdenkarau › testing-future-apacheTesting future Apache Spark releases and changes on Google ...

   medium.com › @holdenkarau › testing-future-apache

   • Cached

   Apr 2, 2018 · Or if you’d rather try out a specific patch you can check out the pull request to your local machine with git fetch origin pull/ID/head:BRANCHNAME where ID is the PR number. You may...

   • Author: Holden Karau

9. spark.apache.org › versioning-policyVersioning Policy - Apache Spark

   spark.apache.org › versioning-policy

   • Cached

   Starting with Spark 1.0.0, the Spark project will follow the semantic versioning guidelines with a few deviations. These small differences account for Spark’s nature as a multi-module project. Spark versions. Each Spark release will be versioned: [MAJOR].[FEATURE].[MAINTENANCE]

10. learn.microsoft.com › en-us › azureSynapse runtime for Apache Spark lifecycle and supportability

    learn.microsoft.com › en-us › azure

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    Jul 10, 2024 · Apache Spark pools in Azure Synapse use runtimes to tie together essential component versions such as Azure Synapse optimizations, packages, and connectors with a specific Apache Spark version. Each runtime is upgraded periodically to include new improvements, features, and patches.