MaxGekk commented on code in PR #396: URL: https://github.com/apache/spark-website/pull/396#discussion_r898824579
########## releases/_posts/2022-06-16-spark-release-3-3-0.md: ########## @@ -0,0 +1,477 @@ +--- +layout: post +title: Spark Release 3.3.0 +categories: [] +tags: [] +status: publish +type: post +published: true +meta: +_edit_last: '4' +_wpas_done_all: '1' +--- + +Apache Spark 3.3.0 is the fourth release of the 3.x line. With tremendous contribution from the open-source community, this release managed to resolve in excess of 1,600 Jira tickets. + +This release improve join query performance via Bloom filters, increases the Pandas API coverage with the support of popular Pandas features such as datetime.timedelta and merge_asof, simplifies the migration from traditional data warehouses by improving ANSI compliance and supporting dozens of new built-in functions, boosts development productivity with better error handling, autocompletion, performance, and profiling. + +To download Apache Spark 3.3.0, visit the [downloads](https://spark.apache.org/downloads.html) page. You can consult JIRA for the [detailed changes](https://s.apache.org/spark-3.3.0). We have curated a list of high level changes here, grouped by major modules. + +* This will become a table of contents (this text will be scraped). +{:toc} + + +### Highlight + + + +* Row-level Runtime Filtering ([SPARK-32268](https://issues.apache.org/jira/browse/SPARK-32268)) +* ANSI enhancements ([SPARK-38860](https://issues.apache.org/jira/browse/SPARK-38860)) +* Error Message Improvements ([SPARK-38781](https://issues.apache.org/jira/browse/SPARK-38781)) +* Support complex types for Parquet vectorized reader ([SPARK-34863](https://issues.apache.org/jira/browse/SPARK-34863)) +* Hidden File Metadata Support for Spark SQL ([SPARK-37273](https://issues.apache.org/jira/browse/SPARK-37273)) +* Provide a profiler for Python/Pandas UDFs ([SPARK-37443](https://issues.apache.org/jira/browse/SPARK-37443)) +* Introduce Trigger.AvailableNow for running streaming queries like Trigger.Once in multiple batches ([SPARK-36533](https://issues.apache.org/jira/browse/SPARK-36533)) +* More comprehensive DS V2 push down capabilities ([SPARK-38788](https://issues.apache.org/jira/browse/SPARK-38788)) +* Executor Rolling in Kubernetes environment ([SPARK-37810](https://issues.apache.org/jira/browse/SPARK-37810)) +* Support Customized Kubernetes Schedulers ( [SPARK-36057](https://issues.apache.org/jira/browse/SPARK-36057)) +* Migrating from log4j 1 to log4j 2 ([SPARK-37814](https://issues.apache.org/jira/browse/SPARK-37814)) + + +### Spark SQL and Core + + +#### ANSI mode + + + +* New explicit cast syntax rules in ANSI mode ([SPARK-33354](https://issues.apache.org/jira/browse/SPARK-33354)) Review Comment: After offline discussion, let me address comments directly in the PR. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
