/** * 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); }