/*
* SPDX-License-Identifier: Apache-2.0
*
* The OpenSearch Contributors require contributions made to
* this file be licensed under the Apache-2.0 license or a
* compatible open source license.
*/
/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch 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.
*/
/*
* Modifications Copyright OpenSearch Contributors. See
* GitHub history for details.
*/
package org.opensearch.index;
import org.apache.lucene.index.ConcurrentMergeScheduler;
import org.opensearch.common.settings.Setting;
import org.opensearch.common.settings.Setting.Property;
import org.opensearch.common.settings.Settings;
import org.opensearch.common.util.concurrent.OpenSearchExecutors;
/**
* The merge scheduler (ConcurrentMergeScheduler
) controls the execution of
* merge operations once they are needed (according to the merge policy). Merges
* run in separate threads, and when the maximum number of threads is reached,
* further merges will wait until a merge thread becomes available.
*
*
The merge scheduler supports the following dynamic settings: * *
index.merge.scheduler.max_thread_count
:
*
* The maximum number of threads that may be merging at once. Defaults to
* Math.max(1, Math.min(4, {@link OpenSearchExecutors#allocatedProcessors(Settings)} / 2))
* which works well for a good solid-state-disk (SSD). If your index is on
* spinning platter drives instead, decrease this to 1.
*
* index.merge.scheduler.auto_throttle
:
*
* If this is true (the default), then the merge scheduler will rate-limit IO
* (writes) for merges to an adaptive value depending on how many merges are
* requested over time. An application with a low indexing rate that
* unluckily suddenly requires a large merge will see that merge aggressively
* throttled, while an application doing heavy indexing will see the throttle
* move higher to allow merges to keep up with ongoing indexing.
* true
iff auto throttle is enabled.
*
* @see ConcurrentMergeScheduler#enableAutoIOThrottle()
*/
public boolean isAutoThrottle() {
return autoThrottle;
}
/**
* Enables / disables auto throttling on the {@link ConcurrentMergeScheduler}
*/
void setAutoThrottle(boolean autoThrottle) {
this.autoThrottle = autoThrottle;
}
/**
* Returns {@code maxThreadCount}.
*/
public int getMaxThreadCount() {
return maxThreadCount;
}
/**
* Expert: directly set the maximum number of merge threads and
* simultaneous merges allowed.
*/
void setMaxThreadAndMergeCount(int maxThreadCount, int maxMergeCount) {
if (maxThreadCount < 1) {
throw new IllegalArgumentException("maxThreadCount should be at least 1");
}
if (maxMergeCount < 1) {
throw new IllegalArgumentException("maxMergeCount should be at least 1");
}
if (maxThreadCount > maxMergeCount) {
throw new IllegalArgumentException(
"maxThreadCount (= " + maxThreadCount + ") should be <= maxMergeCount (= " + maxMergeCount + ")"
);
}
this.maxThreadCount = maxThreadCount;
this.maxMergeCount = maxMergeCount;
}
/**
* Returns {@code maxMergeCount}.
*/
public int getMaxMergeCount() {
return maxMergeCount;
}
}