pan3793 commented on code in PR #4875:
URL: https://github.com/apache/zeppelin/pull/4875#discussion_r1804434188


##########
.github/workflows/core.yml:
##########
@@ -401,68 +391,16 @@ jobs:
           rm -rf spark/interpreter/metastore_db
           ./mvnw verify -pl spark-submit,spark/interpreter -am 
-Dtest=org/apache/zeppelin/spark/* -Pspark-3.4 -Pspark-scala-2.13 -Pintegration 
-DfailIfNoTests=false ${MAVEN_ARGS}
       - name: run spark-3.5 tests with scala-2.13 and python-${{ matrix.python 
}}
-        if: matrix.python >= '3.8'
         run: |
           rm -rf spark/interpreter/metastore_db
           ./mvnw verify -pl spark-submit,spark/interpreter -am 
-Dtest=org/apache/zeppelin/spark/* -Pspark-3.5 -Pspark-scala-2.13 -Pintegration 
-DfailIfNoTests=false ${MAVEN_ARGS}
 
-  # The version combination is based on the facts:
-  # 1. official Livy 0.8 binary tarball is built against Spark 2.4
-  # 2. official Spark 2.4 binary tarball is built against Scala 2.11
-  # 3. Spark 2.4 support Python 2.7, 3.4 to 3.7
-  livy-0-8-with-spark-2-4-under-python37:
-    runs-on: ubuntu-20.04
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-      - name: Tune Runner VM
-        uses: ./.github/actions/tune-runner-vm
-      - name: Set up JDK 8
-        uses: actions/setup-java@v4
-        with:
-          distribution: 'temurin'
-          java-version: 8
-      - name: Cache local Maven repository
-        uses: actions/cache@v4
-        with:
-          path: |
-            ~/.m2/repository
-            !~/.m2/repository/org/apache/zeppelin/
-            ~/.spark-dist
-            ~/.cache
-          key: ${{ runner.os }}-zeppelin-${{ hashFiles('**/pom.xml') }}
-          restore-keys: |
-            ${{ runner.os }}-zeppelin-
-      - name: install environment
-        run: |
-          ./mvnw install -DskipTests -pl livy -am  ${MAVEN_ARGS}
-          ./testing/downloadSpark.sh "2.4.8" "2.7"
-          ./testing/downloadLivy.sh "0.8.0-incubating" "2.11"

Review Comment:
   Livy 0.8 also provides 2.12 binary, which should work with Spark 3 and may 
support Java 11, though I haven't tested.



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