/**
* Copyright (C) 2014-2016 LinkedIn Corp. (pinot-core@linkedin.com)
*
* Licensed 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 com.linkedin.pinot.common.query;
import com.linkedin.pinot.common.metrics.ServerMetrics;
import java.util.concurrent.ExecutorService;
import org.apache.commons.configuration.Configuration;
import org.apache.commons.configuration.ConfigurationException;
import com.linkedin.pinot.common.data.DataManager;
import com.linkedin.pinot.common.utils.DataTable;
public interface QueryExecutor {
/**
* Initialize query executor
* @param queryExecutorConfig
* @param dataManager
* @param serverMetrics
* @throws ConfigurationException
*/
void init(Configuration queryExecutorConfig, DataManager dataManager, ServerMetrics serverMetrics) throws ConfigurationException;
void start();
/**
* Execute a given query optionally parallelizing execution using provided
* executor service
* @param queryRequest Query to execute
* @param executorService executor service to use for parallelizing query execution
* across different segments
*
* @return
*/
DataTable processQuery(ServerQueryRequest queryRequest, ExecutorService executorService);
void shutDown();
boolean isStarted();
void updateResourceTimeOutInMs(String resource, long timeOutMs);
}