[GitHub] [spark-website] MaxGekk commented on a diff in pull request #396: Add 3.3.0 release note and news and update links

[GitBox <gi...@apache.org>]

MaxGekk commented on code in PR #396:
URL: https://github.com/apache/spark-website/pull/396#discussion_r898807963


##########
releases/_posts/2022-06-16-spark-release-3-3-0.md:
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@@ -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:
   @cloud-fan Could you leave comments in https://docs.google.com/document/d/1gGySrLGvIK8bajKdGjTI_mDqk0-YPvHmPN64YjoWfOQ/edit?usp=sharing , please.



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