blob: 89cdce77c5a943c0cfd9164566d9c9b7fdf82157 [file] [log] [blame]
/*
* 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");
}
}
}