Compatible with Spark4

[awol2005ex]

No description provided.

[awol2005ex]

Compatible with Spark4

[Apache-HBase]

💔 -1 overall

Vote	Subsystem	Runtime	Comment
+0 🆗	reexec	1m 11s	Docker mode activated.
		_ Prechecks _
+1 💚	dupname	0m 0s	No case conflicting files found.
+0 🆗	markdownlint	0m 0s	markdownlint was not available.
+0 🆗	spotbugs	0m 0s	spotbugs executables are not available.
+0 🆗	prototool	0m 0s	prototool was not available.
+1 💚	@author	0m 0s	The patch does not contain any @author tags.
+1 💚	test4tests	0m 0s	The patch appears to include 18 new or modified test files.
		_ master Compile Tests _
+1 💚	mvninstall	1m 41s	master passed
+1 💚	compile	0m 49s	master passed
+1 💚	spotless	0m 14s	branch has no errors when running spotless:check.
+1 💚	javadoc	0m 50s	master passed
+1 💚	scaladoc	0m 0s	master passed
		_ Patch Compile Tests _
+0 🆗	mvndep	0m 11s	Maven dependency ordering for patch
-1 ❌	mvninstall	1m 16s	root in the patch failed.
-1 ❌	compile	1m 1s	root in the patch failed.
-1 ❌	cc	1m 1s	root in the patch failed.
-1 ❌	javac	1m 1s	root in the patch failed.
-1 ❌	scalac	1m 1s	root in the patch failed.
+1 💚	whitespace	0m 0s	The patch has no whitespace issues.
+1 💚	xml	0m 5s	The patch has no ill-formed XML file.
-1 ❌	spotless	0m 17s	patch has 73 errors when running spotless:check, run spotless:apply to fix.
-1 ❌	javadoc	1m 0s	root in the patch failed.
+1 💚	scaladoc	0m 0s	the patch passed
		_ Other Tests _
-1 ❌	unit	8m 17s	root in the patch failed.
		17m 51s

Subsystem	Report/Notes
Docker	ClientAPI=1.43 ServerAPI=1.43 base: https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/Dockerfile
GITHUB PR	#130
Optional Tests	dupname javac javadoc unit spotless xml compile markdownlint spotbugs findbugs cc prototool scalac scaladoc
uname	Linux 4e58cf8d36ca 5.4.0-1103-aws #111~18.04.1-Ubuntu SMP Tue May 23 20:04:10 UTC 2023 x86_64 GNU/Linux
Build tool	hb_maven
Personality	dev-support/jenkins/hbase-personality.sh
git revision	master / 307607c
Default Java	Oracle Corporation-1.8.0_282-b08
mvninstall	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/patch-mvninstall-root.txt
compile	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/patch-compile-root.txt
cc	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/patch-compile-root.txt
javac	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/patch-compile-root.txt
scalac	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/patch-compile-root.txt
spotless	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/patch-spotless.txt
javadoc	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/patch-javadoc-root.txt
unit	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/artifact/yetus-precommit-check/output/patch-unit-root.txt
Test Results	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/testReport/
Max. process+thread count	944 (vs. ulimit of 12500)
modules	C: spark4 spark4/hbase-spark4-protocol . spark4/hbase-spark4 spark4/hbase-spark4-it spark4/hbase-spark4-protocol-shaded U: .
Console output	https://ci-hbase.apache.org/job/HBase-Connectors-PreCommit/job/PR-130/1/console
versions	git=2.20.1
Powered by	Apache Yetus 0.12.0 https://yetus.apache.org

This message was automatically generated.

[NihalJain]

Hi @awol2005ex we use JIRA to track issues and related work. Mind if you capture what you plan to do with this PR by creating a new jira at https://issues.apache.org/jira/browse/hbase. Also it would be great if you describe what you are trying to do in this PR. The PR is huge and seems like a copy of current code.

[stoty]

A completely new module may or may not be needed, depending on how backwards compatbile Spark4 is.

We should first decide if we want to maintain Spark2 compatbility (or even if the current code is still Spark 2 compatible)

Please start a discussion on [email protected] @awol2005ex .