/**
* 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
* <p/>
* http://www.apache.org/licenses/LICENSE-2.0
* <p/>
* 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.hadoop.hive.ql.exec.spark;
import java.io.Closeable;
import java.io.Serializable;
import org.apache.hadoop.hive.ql.DriverContext;
import org.apache.hadoop.hive.ql.exec.spark.status.SparkJobRef;
import org.apache.hadoop.hive.ql.plan.SparkWork;
import org.apache.spark.SparkConf;
public interface HiveSparkClient extends Serializable, Closeable {
/**
* HiveSparkClient should generate Spark RDD graph by given sparkWork and driverContext,
* and submit RDD graph to Spark cluster.
* @param driverContext
* @param sparkWork
* @return SparkJobRef could be used to track spark job progress and metrics.
* @throws Exception
*/
SparkJobRef execute(DriverContext driverContext, SparkWork sparkWork) throws Exception;
/**
* @return spark configuration
*/
SparkConf getSparkConf();
/**
* @return the number of executors
*/
int getExecutorCount() throws Exception;
/**
* For standalone mode, this can be used to get total number of cores.
* @return default parallelism.
*/
int getDefaultParallelism() throws Exception;
}