001/* 002 * Licensed to the Apache Software Foundation (ASF) under one 003 * or more contributor license agreements. See the NOTICE file 004 * distributed with this work for additional information 005 * regarding copyright ownership. The ASF licenses this file 006 * to you under the Apache License, Version 2.0 (the 007 * "License"); you may not use this file except in compliance 008 * with the License. You may obtain a copy of the License at 009 * 010 * http://www.apache.org/licenses/LICENSE-2.0 011 * 012 * Unless required by applicable law or agreed to in writing, software 013 * distributed under the License is distributed on an "AS IS" BASIS, 014 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 015 * See the License for the specific language governing permissions and 016 * limitations under the License. 017 */ 018package org.apache.hadoop.hbase.master.balancer; 019 020import java.util.concurrent.ThreadLocalRandom; 021import org.apache.yetus.audience.InterfaceAudience; 022 023@InterfaceAudience.Private 024class LoadCandidateGenerator extends CandidateGenerator { 025 026 @Override 027 BalanceAction generate(BalancerClusterState cluster) { 028 cluster.sortServersByRegionCount(); 029 int thisServer = pickMostLoadedServer(cluster, -1); 030 int otherServer = pickLeastLoadedServer(cluster, thisServer); 031 return pickRandomRegions(cluster, thisServer, otherServer); 032 } 033 034 private int pickLeastLoadedServer(final BalancerClusterState cluster, int thisServer) { 035 Integer[] servers = cluster.serverIndicesSortedByRegionCount; 036 037 int selectedIndex = -1; 038 double currentLargestRandom = -1; 039 for (int i = 0; i < servers.length; i++) { 040 if (servers[i] == null || servers[i] == thisServer) { 041 continue; 042 } 043 if ( 044 selectedIndex != -1 045 && cluster.getNumRegionsComparator().compare(servers[i], servers[selectedIndex]) != 0 046 ) { 047 // Exhausted servers of the same region count 048 break; 049 } 050 // we don't know how many servers have the same region count, we will randomly select one 051 // using a simplified inline reservoir sampling by assignmening a random number to stream 052 // data and choose the greatest one. (http://gregable.com/2007/10/reservoir-sampling.html) 053 double currentRandom = ThreadLocalRandom.current().nextDouble(); 054 if (currentRandom > currentLargestRandom) { 055 selectedIndex = i; 056 currentLargestRandom = currentRandom; 057 } 058 } 059 return selectedIndex == -1 ? -1 : servers[selectedIndex]; 060 } 061 062 private int pickMostLoadedServer(final BalancerClusterState cluster, int thisServer) { 063 Integer[] servers = cluster.serverIndicesSortedByRegionCount; 064 065 int selectedIndex = -1; 066 double currentLargestRandom = -1; 067 for (int i = servers.length - 1; i >= 0; i--) { 068 if (servers[i] == null || servers[i] == thisServer) { 069 continue; 070 } 071 if ( 072 selectedIndex != -1 073 && cluster.getNumRegionsComparator().compare(servers[i], servers[selectedIndex]) != 0 074 ) { 075 // Exhausted servers of the same region count 076 break; 077 } 078 // we don't know how many servers have the same region count, we will randomly select one 079 // using a simplified inline reservoir sampling by assignmening a random number to stream 080 // data and choose the greatest one. (http://gregable.com/2007/10/reservoir-sampling.html) 081 double currentRandom = ThreadLocalRandom.current().nextDouble(); 082 if (currentRandom > currentLargestRandom) { 083 selectedIndex = i; 084 currentLargestRandom = currentRandom; 085 } 086 } 087 return selectedIndex == -1 ? -1 : servers[selectedIndex]; 088 } 089 090}