| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| package org.apache.zeppelin.integration; |
| |
| import org.apache.zeppelin.interpreter.InterpreterSetting; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.Parameterized; |
| |
| import java.util.Arrays; |
| import java.util.List; |
| |
| @RunWith(value = Parameterized.class) |
| public class SparkIntegrationTest34 extends SparkIntegrationTest { |
| |
| public SparkIntegrationTest34(String sparkVersion, String hadoopVersion) { |
| super(sparkVersion, hadoopVersion); |
| } |
| |
| @Parameterized.Parameters |
| public static List<Object[]> data() { |
| return Arrays.asList(new Object[][]{ |
| {"3.4.0", "3"}, |
| }); |
| } |
| |
| @Override |
| protected void setUpSparkInterpreterSetting(InterpreterSetting interpreterSetting) { |
| // spark3 doesn't support yarn-client and yarn-cluster anymore, use |
| // spark.master and spark.submit.deployMode instead |
| String sparkMaster = interpreterSetting.getJavaProperties().getProperty("spark.master"); |
| if (sparkMaster.equals("yarn-client")) { |
| interpreterSetting.setProperty("spark.master", "yarn"); |
| interpreterSetting.setProperty("spark.submit.deployMode", "client"); |
| } else if (sparkMaster.equals("yarn-cluster")){ |
| interpreterSetting.setProperty("spark.master", "yarn"); |
| interpreterSetting.setProperty("spark.submit.deployMode", "cluster"); |
| } else if (sparkMaster.startsWith("local")) { |
| interpreterSetting.setProperty("spark.submit.deployMode", "client"); |
| } |
| } |
| } |