HBASE-25973 Balancer should explain progress in a better way in log -… (#3483)
Signed-off-by: Andrew Purtell <apurtell@apache.org>
This commit is contained in:
parent
fb01a6c276
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@ -1877,6 +1877,8 @@ public class HMaster extends HRegionServer implements MasterServices {
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}
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}
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}
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}
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}
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}
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LOG.info("Balancer is going into sleep until next period in {}ms", getConfiguration()
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.getInt(HConstants.HBASE_BALANCER_PERIOD, HConstants.DEFAULT_HBASE_BALANCER_PERIOD));
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return successRegionPlans;
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return successRegionPlans;
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}
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}
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@ -133,7 +133,8 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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private List<CandidateGenerator> candidateGenerators;
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private List<CandidateGenerator> candidateGenerators;
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private List<CostFunction> costFunctions; // FindBugs: Wants this protected; IS2_INCONSISTENT_SYNC
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private List<CostFunction> costFunctions; // FindBugs: Wants this protected; IS2_INCONSISTENT_SYNC
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// To save currently configed sum of multiplier. Defaulted at 1 for cases that carry high cost
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private float sumMultiplier = 1.0f;
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// to save and report costs to JMX
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// to save and report costs to JMX
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private double curOverallCost = 0d;
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private double curOverallCost = 0d;
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private double[] tempFunctionCosts;
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private double[] tempFunctionCosts;
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@ -229,7 +230,6 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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regionReplicaHostCostFunction = new RegionReplicaHostCostFunction(conf);
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regionReplicaHostCostFunction = new RegionReplicaHostCostFunction(conf);
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regionReplicaRackCostFunction = new RegionReplicaRackCostFunction(conf);
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regionReplicaRackCostFunction = new RegionReplicaRackCostFunction(conf);
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costFunctions = new ArrayList<>();
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costFunctions = new ArrayList<>();
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addCostFunction(new RegionCountSkewCostFunction(conf));
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addCostFunction(new RegionCountSkewCostFunction(conf));
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addCostFunction(new PrimaryRegionCountSkewCostFunction(conf));
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addCostFunction(new PrimaryRegionCountSkewCostFunction(conf));
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@ -310,63 +310,66 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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boolean needsBalance(TableName tableName, BalancerClusterState cluster) {
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boolean needsBalance(TableName tableName, BalancerClusterState cluster) {
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ClusterLoadState cs = new ClusterLoadState(cluster.clusterState);
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ClusterLoadState cs = new ClusterLoadState(cluster.clusterState);
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if (cs.getNumServers() < MIN_SERVER_BALANCE) {
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if (cs.getNumServers() < MIN_SERVER_BALANCE) {
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if (LOG.isDebugEnabled()) {
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LOG.info("Not running balancer because only " + cs.getNumServers() +
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LOG.debug("Not running balancer because only " + cs.getNumServers()
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" active regionserver(s)");
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+ " active regionserver(s)");
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sendRejectionReasonToRingBuffer(
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}
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"The number of RegionServers " + cs.getNumServers() + " < MIN_SERVER_BALANCE(" +
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if (this.isBalancerRejectionRecording) {
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MIN_SERVER_BALANCE + ")", null);
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sendRejectionReasonToRingBuffer("The number of RegionServers " +
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cs.getNumServers() + " < MIN_SERVER_BALANCE(" + MIN_SERVER_BALANCE + ")", null);
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}
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return false;
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return false;
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}
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}
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if (areSomeRegionReplicasColocated(cluster)) {
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if (areSomeRegionReplicasColocated(cluster)) {
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LOG.info("Running balancer because at least one server hosts replicas of the same region.");
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return true;
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return true;
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}
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}
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if (idleRegionServerExist(cluster)){
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if (idleRegionServerExist(cluster)){
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LOG.info("Running balancer because cluster has idle server(s).");
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return true;
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return true;
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}
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}
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sumMultiplier = 0.0f;
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double total = 0.0;
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double total = 0.0;
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float sumMultiplier = 0.0f;
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for (CostFunction c : costFunctions) {
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for (CostFunction c : costFunctions) {
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float multiplier = c.getMultiplier();
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float multiplier = c.getMultiplier();
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if (multiplier <= 0) {
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double cost = c.cost();
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LOG.trace("{} not needed because multiplier is <= 0", c.getClass().getSimpleName());
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continue;
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}
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if (!c.isNeeded()) {
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if (!c.isNeeded()) {
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LOG.trace("{} not needed", c.getClass().getSimpleName());
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LOG.trace("{} not needed", c.getClass().getSimpleName());
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continue;
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continue;
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}
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}
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total += cost * multiplier;
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sumMultiplier += multiplier;
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sumMultiplier += multiplier;
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total += c.cost() * multiplier;
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}
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if (sumMultiplier <= 0) {
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LOG.error("At least one cost function needs a multiplier > 0. For example, set "
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+ "hbase.master.balancer.stochastic.regionCountCost to a positive value or default");
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return false;
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}
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}
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boolean balanced = total <= 0 || sumMultiplier <= 0 ||
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boolean balanced = (total / sumMultiplier < minCostNeedBalance);
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(sumMultiplier > 0 && (total / sumMultiplier) < minCostNeedBalance);
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if (balanced) {
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if(balanced && isBalancerRejectionRecording){
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if (isBalancerRejectionRecording) {
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String reason = "";
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String reason = "";
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if (total <= 0) {
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if (total <= 0) {
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reason = "(cost1*multiplier1)+(cost2*multiplier2)+...+(costn*multipliern) = " + total + " <= 0";
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reason = "(cost1*multiplier1)+(cost2*multiplier2)+...+(costn*multipliern) = " +
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total + " <= 0";
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} else if (sumMultiplier <= 0) {
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} else if (sumMultiplier <= 0) {
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reason = "sumMultiplier = " + sumMultiplier + " <= 0";
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reason = "sumMultiplier = " + sumMultiplier + " <= 0";
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} else if ((total / sumMultiplier) < minCostNeedBalance) {
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} else if ((total / sumMultiplier) < minCostNeedBalance) {
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reason =
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reason =
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"[(cost1*multiplier1)+(cost2*multiplier2)+...+(costn*multipliern)]/sumMultiplier = " + (total
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"[(cost1*multiplier1)+(cost2*multiplier2)+...+(costn*multipliern)]/sumMultiplier = " +
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/ sumMultiplier) + " <= minCostNeedBalance(" + minCostNeedBalance + ")";
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(total / sumMultiplier) + " <= minCostNeedBalance(" + minCostNeedBalance + ")";
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}
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}
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sendRejectionReasonToRingBuffer(reason, costFunctions);
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sendRejectionReasonToRingBuffer(reason, costFunctions);
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}
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}
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if (LOG.isDebugEnabled()) {
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LOG.info("{} - skipping load balancing because weighted average imbalance={} <= "
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LOG.debug("{} {}; total cost={}, sum multiplier={}; cost/multiplier to need a balance is {}",
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+ "threshold({}). If you want more aggressive balancing, either lower "
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balanced ? "Skipping load balancing because balanced" : "We need to load balance",
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+ "hbase.master.balancer.stochastic.minCostNeedBalance from {} or increase the relative "
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isByTable ? String.format("table (%s)", tableName) : "cluster",
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+ "multiplier(s) of the specific cost function(s). functionCost={}",
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total, sumMultiplier, minCostNeedBalance);
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isByTable ? "Table specific ("+tableName+")" : "Cluster wide", total / sumMultiplier,
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if (LOG.isTraceEnabled()) {
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minCostNeedBalance, minCostNeedBalance, functionCost());
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LOG.trace("Balance decision detailed function costs={}", functionCost());
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} else {
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}
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LOG.info("{} - Calculating plan. may take up to {}ms to complete.",
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isByTable ? "Table specific ("+tableName+")" : "Cluster wide", maxRunningTime);
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}
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}
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return !balanced;
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return !balanced;
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}
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}
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@ -452,8 +455,9 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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maxSteps);
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maxSteps);
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}
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}
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}
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}
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LOG.info("start StochasticLoadBalancer.balancer, initCost=" + currentCost + ", functionCost="
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LOG.info("Start StochasticLoadBalancer.balancer, initial weighted average imbalance={}, "
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+ functionCost() + " computedMaxSteps: " + computedMaxSteps);
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+ "functionCost={} computedMaxSteps={}",
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currentCost / sumMultiplier, functionCost(), computedMaxSteps);
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final String initFunctionTotalCosts = totalCostsPerFunc();
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final String initFunctionTotalCosts = totalCostsPerFunc();
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// Perform a stochastic walk to see if we can get a good fit.
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// Perform a stochastic walk to see if we can get a good fit.
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@ -499,17 +503,19 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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updateStochasticCosts(tableName, curOverallCost, curFunctionCosts);
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updateStochasticCosts(tableName, curOverallCost, curFunctionCosts);
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if (initCost > currentCost) {
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if (initCost > currentCost) {
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plans = createRegionPlans(cluster);
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plans = createRegionPlans(cluster);
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LOG.info("Finished computing new load balance plan. Computation took {}" +
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LOG.info("Finished computing new moving plan. Computation took {} ms" +
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" to try {} different iterations. Found a solution that moves " +
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" to try {} different iterations. Found a solution that moves " +
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"{} regions; Going from a computed cost of {}" +
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"{} regions; Going from a computed imbalance of {}" +
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" to a new cost of {}", java.time.Duration.ofMillis(endTime - startTime),
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" to a new imbalance of {}. ",
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step, plans.size(), initCost, currentCost);
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endTime - startTime, step, plans.size(),
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initCost / sumMultiplier, currentCost / sumMultiplier);
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sendRegionPlansToRingBuffer(plans, currentCost, initCost, initFunctionTotalCosts, step);
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sendRegionPlansToRingBuffer(plans, currentCost, initCost, initFunctionTotalCosts, step);
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return plans;
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return plans;
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}
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}
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LOG.info("Could not find a better load balance plan. Tried {} different configurations in " +
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LOG.info("Could not find a better moving plan. Tried {} different configurations in " +
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"{}, and did not find anything with a computed cost less than {}", step,
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"{} ms, and did not find anything with an imbalance score less than {}", step,
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java.time.Duration.ofMillis(endTime - startTime), initCost);
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endTime - startTime, initCost / sumMultiplier);
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return null;
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return null;
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}
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}
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@ -520,8 +526,7 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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.setReason(reason);
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.setReason(reason);
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if (costFunctions != null) {
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if (costFunctions != null) {
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for (CostFunction c : costFunctions) {
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for (CostFunction c : costFunctions) {
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float multiplier = c.getMultiplier();
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if (!c.isNeeded()) {
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if (multiplier <= 0 || !c.isNeeded()) {
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continue;
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continue;
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}
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}
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builder.addCostFuncInfo(c.getClass().getName(), c.cost(), c.getMultiplier());
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builder.addCostFuncInfo(c.getClass().getName(), c.cost(), c.getMultiplier());
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@ -580,7 +585,8 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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}
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}
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private void addCostFunction(CostFunction costFunction) {
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private void addCostFunction(CostFunction costFunction) {
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if (costFunction.getMultiplier() > 0) {
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float multiplier = costFunction.getMultiplier();
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if (multiplier > 0) {
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costFunctions.add(costFunction);
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costFunctions.add(costFunction);
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}
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}
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}
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}
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@ -591,9 +597,13 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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builder.append(c.getClass().getSimpleName());
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builder.append(c.getClass().getSimpleName());
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builder.append(" : (");
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builder.append(" : (");
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if (c.isNeeded()) {
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if (c.isNeeded()) {
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builder.append(c.getMultiplier());
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builder.append("multiplier=" + c.getMultiplier());
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builder.append(", ");
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builder.append(", ");
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builder.append(c.cost());
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double cost = c.cost();
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builder.append("imbalance=" + cost);
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if (cost < minCostNeedBalance) {
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builder.append(", balanced");
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}
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} else {
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} else {
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builder.append("not needed");
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builder.append("not needed");
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}
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}
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@ -605,7 +615,7 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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private String totalCostsPerFunc() {
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private String totalCostsPerFunc() {
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StringBuilder builder = new StringBuilder();
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StringBuilder builder = new StringBuilder();
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for (CostFunction c : costFunctions) {
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for (CostFunction c : costFunctions) {
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if (c.getMultiplier() <= 0 || !c.isNeeded()) {
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if (!c.isNeeded()) {
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continue;
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continue;
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}
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}
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double cost = c.getMultiplier() * c.cost();
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double cost = c.getMultiplier() * c.cost();
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@ -689,7 +699,7 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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allowedOnPath = ".*(/src/test/.*|StochasticLoadBalancer).java")
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allowedOnPath = ".*(/src/test/.*|StochasticLoadBalancer).java")
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void updateCostsWithAction(BalancerClusterState cluster, BalanceAction action) {
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void updateCostsWithAction(BalancerClusterState cluster, BalanceAction action) {
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for (CostFunction c : costFunctions) {
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for (CostFunction c : costFunctions) {
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if (c.getMultiplier() > 0 && c.isNeeded()) {
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if (c.isNeeded()) {
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c.postAction(action);
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c.postAction(action);
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}
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}
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}
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}
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@ -728,7 +738,7 @@ public class StochasticLoadBalancer extends BaseLoadBalancer {
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CostFunction c = costFunctions.get(i);
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CostFunction c = costFunctions.get(i);
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this.tempFunctionCosts[i] = 0.0;
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this.tempFunctionCosts[i] = 0.0;
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if (c.getMultiplier() <= 0 || !c.isNeeded()) {
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if (!c.isNeeded()) {
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continue;
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continue;
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}
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}
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@ -75,7 +75,6 @@ public class BalancerTestBase {
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conf.setFloat("hbase.master.balancer.stochastic.maxMovePercent", 0.75f);
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conf.setFloat("hbase.master.balancer.stochastic.maxMovePercent", 0.75f);
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conf.setFloat("hbase.regions.slop", 0.0f);
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conf.setFloat("hbase.regions.slop", 0.0f);
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conf.setFloat("hbase.master.balancer.stochastic.localityCost", 0);
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conf.setFloat("hbase.master.balancer.stochastic.localityCost", 0);
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conf.setBoolean("hbase.master.balancer.stochastic.runMaxSteps", true);
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loadBalancer = new StochasticLoadBalancer();
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loadBalancer = new StochasticLoadBalancer();
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MasterServices services = mock(MasterServices.class);
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MasterServices services = mock(MasterServices.class);
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when(services.getConfiguration()).thenReturn(conf);
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when(services.getConfiguration()).thenReturn(conf);
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@ -169,6 +169,7 @@ public class TestStochasticLoadBalancer extends BalancerTestBase {
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for (boolean isByTable : perTableBalancerConfigs) {
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for (boolean isByTable : perTableBalancerConfigs) {
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conf.setBoolean(HConstants.HBASE_MASTER_LOADBALANCE_BYTABLE, isByTable);
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conf.setBoolean(HConstants.HBASE_MASTER_LOADBALANCE_BYTABLE, isByTable);
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loadBalancer.onConfigurationChange(conf);
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loadBalancer.onConfigurationChange(conf);
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for (int[] mockCluster : clusterStateMocks) {
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for (int[] mockCluster : clusterStateMocks) {
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Map<ServerName, List<RegionInfo>> servers = mockClusterServers(mockCluster);
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Map<ServerName, List<RegionInfo>> servers = mockClusterServers(mockCluster);
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Map<TableName, Map<ServerName, List<RegionInfo>>> LoadOfAllTable =
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Map<TableName, Map<ServerName, List<RegionInfo>>> LoadOfAllTable =
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@ -53,12 +53,13 @@ public class TestStochasticLoadBalancerBalanceCluster extends BalancerTestBase {
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public void testBalanceCluster() throws Exception {
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public void testBalanceCluster() throws Exception {
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conf.setLong("hbase.master.balancer.stochastic.maxRunningTime", 3 * 60 * 1000); // 3 min
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conf.setLong("hbase.master.balancer.stochastic.maxRunningTime", 3 * 60 * 1000); // 3 min
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conf.setFloat("hbase.master.balancer.stochastic.maxMovePercent", 1.0f);
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conf.setFloat("hbase.master.balancer.stochastic.maxMovePercent", 1.0f);
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conf.setLong(StochasticLoadBalancer.MAX_STEPS_KEY, 20000000L);
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loadBalancer.onConfigurationChange(conf);
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loadBalancer.onConfigurationChange(conf);
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for (int[] mockCluster : clusterStateMocks) {
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for (int[] mockCluster : clusterStateMocks) {
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Map<ServerName, List<RegionInfo>> servers = mockClusterServers(mockCluster);
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Map<ServerName, List<RegionInfo>> servers = mockClusterServers(mockCluster);
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List<ServerAndLoad> list = convertToList(servers);
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List<ServerAndLoad> list = convertToList(servers);
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LOG.info("Mock Cluster : " + printMock(list) + " " + printStats(list));
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LOG.info("Mock Cluster : " + printMock(list) + " " + printStats(list));
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Map<TableName, Map<ServerName, List<RegionInfo>>> LoadOfAllTable =
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Map<TableName, Map<ServerName, List<RegionInfo>>> LoadOfAllTable =
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(Map) mockClusterServersWithTables(servers);
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(Map) mockClusterServersWithTables(servers);
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List<RegionPlan> plans = loadBalancer.balanceCluster(LoadOfAllTable);
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List<RegionPlan> plans = loadBalancer.balanceCluster(LoadOfAllTable);
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@ -39,7 +39,7 @@ public class TestStochasticLoadBalancerLargeCluster extends BalancerTestBase {
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int numTables = 100;
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int numTables = 100;
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int replication = 1;
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int replication = 1;
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conf.setLong("hbase.master.balancer.stochastic.maxRunningTime", 6 * 60 * 1000);
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conf.setLong("hbase.master.balancer.stochastic.maxRunningTime", 6 * 60 * 1000);
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conf.setFloat("hbase.master.balancer.stochastic.maxMovePercent", 1.0f);
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conf.setLong(StochasticLoadBalancer.MAX_STEPS_KEY, 20000000L);
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loadBalancer.onConfigurationChange(conf);
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loadBalancer.onConfigurationChange(conf);
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testWithCluster(numNodes, numRegions, numRegionsPerServer, replication, numTables, true, true);
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testWithCluster(numNodes, numRegions, numRegionsPerServer, replication, numTables, true, true);
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}
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}
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@ -0,0 +1,838 @@
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From debf8555c2fb0f309e3389aa196a788d8c4a5bb5 Mon Sep 17 00:00:00 2001
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From: Duo Zhang <zhangduo@apache.org>
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Date: Sat, 29 May 2021 10:54:44 +0800
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Subject: [PATCH] HBASE-25947 Backport 'HBASE-25894 Improve the performance for
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region load and region count related cost functions' to branch-2.4 and
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branch-2.3
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---
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.../master/balancer/DoubleArrayCost.java | 100 ++++++
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.../balancer/StochasticLoadBalancer.java | 337 +++++++++---------
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.../master/balancer/TestDoubleArrayCost.java | 67 ++++
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.../TestStochasticBalancerJmxMetrics.java | 19 +-
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||||||
|
.../balancer/TestStochasticLoadBalancer.java | 28 --
|
||||||
|
5 files changed, 342 insertions(+), 209 deletions(-)
|
||||||
|
create mode 100644 hbase-server/src/main/java/org/apache/hadoop/hbase/master/balancer/DoubleArrayCost.java
|
||||||
|
create mode 100644 hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestDoubleArrayCost.java
|
||||||
|
rename hbase-server/src/test/java/org/apache/hadoop/hbase/{ => master/balancer}/TestStochasticBalancerJmxMetrics.java (95%)
|
||||||
|
|
||||||
|
diff --git a/hbase-server/src/main/java/org/apache/hadoop/hbase/master/balancer/DoubleArrayCost.java b/hbase-server/src/main/java/org/apache/hadoop/hbase/master/balancer/DoubleArrayCost.java
|
||||||
|
new file mode 100644
|
||||||
|
index 000000000000..f370b8077d1b
|
||||||
|
--- /dev/null
|
||||||
|
+++ b/hbase-server/src/main/java/org/apache/hadoop/hbase/master/balancer/DoubleArrayCost.java
|
||||||
|
@@ -0,0 +1,100 @@
|
||||||
|
+/**
|
||||||
|
+ * 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
|
||||||
|
+ *
|
||||||
|
+ * 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 org.apache.hadoop.hbase.master.balancer;
|
||||||
|
+
|
||||||
|
+import java.util.function.Consumer;
|
||||||
|
+import org.apache.yetus.audience.InterfaceAudience;
|
||||||
|
+
|
||||||
|
+/**
|
||||||
|
+ * A helper class to compute a scaled cost using
|
||||||
|
+ * {@link org.apache.commons.math3.stat.descriptive.DescriptiveStatistics#DescriptiveStatistics()}.
|
||||||
|
+ * It assumes that this is a zero sum set of costs. It assumes that the worst case possible is all
|
||||||
|
+ * of the elements in one region server and the rest having 0.
|
||||||
|
+ */
|
||||||
|
+@InterfaceAudience.Private
|
||||||
|
+final class DoubleArrayCost {
|
||||||
|
+
|
||||||
|
+ private double[] costs;
|
||||||
|
+
|
||||||
|
+ // computeCost call is expensive so we use this flag to indicate whether we need to recalculate
|
||||||
|
+ // the cost by calling computeCost
|
||||||
|
+ private boolean costsChanged;
|
||||||
|
+
|
||||||
|
+ private double cost;
|
||||||
|
+
|
||||||
|
+ void prepare(int length) {
|
||||||
|
+ if (costs == null || costs.length != length) {
|
||||||
|
+ costs = new double[length];
|
||||||
|
+ }
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
+ void setCosts(Consumer<double[]> consumer) {
|
||||||
|
+ consumer.accept(costs);
|
||||||
|
+ costsChanged = true;
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
+ double cost() {
|
||||||
|
+ if (costsChanged) {
|
||||||
|
+ cost = computeCost(costs);
|
||||||
|
+ costsChanged = false;
|
||||||
|
+ }
|
||||||
|
+ return cost;
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
+ private static double computeCost(double[] stats) {
|
||||||
|
+ double totalCost = 0;
|
||||||
|
+ double total = getSum(stats);
|
||||||
|
+
|
||||||
|
+ double count = stats.length;
|
||||||
|
+ double mean = total / count;
|
||||||
|
+
|
||||||
|
+ // Compute max as if all region servers had 0 and one had the sum of all costs. This must be
|
||||||
|
+ // a zero sum cost for this to make sense.
|
||||||
|
+ double max = ((count - 1) * mean) + (total - mean);
|
||||||
|
+
|
||||||
|
+ // It's possible that there aren't enough regions to go around
|
||||||
|
+ double min;
|
||||||
|
+ if (count > total) {
|
||||||
|
+ min = ((count - total) * mean) + ((1 - mean) * total);
|
||||||
|
+ } else {
|
||||||
|
+ // Some will have 1 more than everything else.
|
||||||
|
+ int numHigh = (int) (total - (Math.floor(mean) * count));
|
||||||
|
+ int numLow = (int) (count - numHigh);
|
||||||
|
+
|
||||||
|
+ min = (numHigh * (Math.ceil(mean) - mean)) + (numLow * (mean - Math.floor(mean)));
|
||||||
|
+
|
||||||
|
+ }
|
||||||
|
+ min = Math.max(0, min);
|
||||||
|
+ for (int i = 0; i < stats.length; i++) {
|
||||||
|
+ double n = stats[i];
|
||||||
|
+ double diff = Math.abs(mean - n);
|
||||||
|
+ totalCost += diff;
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
+ double scaled = StochasticLoadBalancer.scale(min, max, totalCost);
|
||||||
|
+ return scaled;
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
+ private static double getSum(double[] stats) {
|
||||||
|
+ double total = 0;
|
||||||
|
+ for (double s : stats) {
|
||||||
|
+ total += s;
|
||||||
|
+ }
|
||||||
|
+ return total;
|
||||||
|
+ }
|
||||||
|
+}
|
||||||
|
\ No newline at end of file
|
||||||
|
diff --git a/hbase-server/src/main/java/org/apache/hadoop/hbase/master/balancer/StochasticLoadBalancer.java b/hbase-server/src/main/java/org/apache/hadoop/hbase/master/balancer/StochasticLoadBalancer.java
|
||||||
|
index 3e341d0f7718..26d8d43f5bef 100644
|
||||||
|
--- a/hbase-server/src/main/java/org/apache/hadoop/hbase/master/balancer/StochasticLoadBalancer.java
|
||||||
|
+++ b/hbase-server/src/main/java/org/apache/hadoop/hbase/master/balancer/StochasticLoadBalancer.java
|
||||||
|
@@ -17,12 +17,14 @@
|
||||||
|
*/
|
||||||
|
package org.apache.hadoop.hbase.master.balancer;
|
||||||
|
|
||||||
|
+import com.google.errorprone.annotations.RestrictedApi;
|
||||||
|
import java.util.ArrayDeque;
|
||||||
|
import java.util.ArrayList;
|
||||||
|
import java.util.Arrays;
|
||||||
|
import java.util.Collection;
|
||||||
|
import java.util.Deque;
|
||||||
|
import java.util.HashMap;
|
||||||
|
+import java.util.Iterator;
|
||||||
|
import java.util.LinkedList;
|
||||||
|
import java.util.List;
|
||||||
|
import java.util.Map;
|
||||||
|
@@ -145,7 +147,6 @@
|
||||||
|
private boolean isBalancerRejectionRecording = false;
|
||||||
|
|
||||||
|
private List<CandidateGenerator> candidateGenerators;
|
||||||
|
- private CostFromRegionLoadFunction[] regionLoadFunctions;
|
||||||
|
private List<CostFunction> costFunctions; // FindBugs: Wants this protected; IS2_INCONSISTENT_SYNC
|
||||||
|
|
||||||
|
// to save and report costs to JMX
|
||||||
|
@@ -202,12 +203,6 @@ public synchronized void setConf(Configuration conf) {
|
||||||
|
candidateGenerators.add(localityCandidateGenerator);
|
||||||
|
candidateGenerators.add(new RegionReplicaRackCandidateGenerator());
|
||||||
|
}
|
||||||
|
- regionLoadFunctions = new CostFromRegionLoadFunction[] {
|
||||||
|
- new ReadRequestCostFunction(conf),
|
||||||
|
- new WriteRequestCostFunction(conf),
|
||||||
|
- new MemStoreSizeCostFunction(conf),
|
||||||
|
- new StoreFileCostFunction(conf)
|
||||||
|
- };
|
||||||
|
regionReplicaHostCostFunction = new RegionReplicaHostCostFunction(conf);
|
||||||
|
regionReplicaRackCostFunction = new RegionReplicaRackCostFunction(conf);
|
||||||
|
|
||||||
|
@@ -220,10 +215,10 @@ public synchronized void setConf(Configuration conf) {
|
||||||
|
addCostFunction(new TableSkewCostFunction(conf));
|
||||||
|
addCostFunction(regionReplicaHostCostFunction);
|
||||||
|
addCostFunction(regionReplicaRackCostFunction);
|
||||||
|
- addCostFunction(regionLoadFunctions[0]);
|
||||||
|
- addCostFunction(regionLoadFunctions[1]);
|
||||||
|
- addCostFunction(regionLoadFunctions[2]);
|
||||||
|
- addCostFunction(regionLoadFunctions[3]);
|
||||||
|
+ addCostFunction(new ReadRequestCostFunction(conf));
|
||||||
|
+ addCostFunction(new WriteRequestCostFunction(conf));
|
||||||
|
+ addCostFunction(new MemStoreSizeCostFunction(conf));
|
||||||
|
+ addCostFunction(new StoreFileCostFunction(conf));
|
||||||
|
loadCustomCostFunctions(conf);
|
||||||
|
|
||||||
|
curFunctionCosts = new double[costFunctions.size()];
|
||||||
|
@@ -290,9 +285,6 @@ protected void setSlop(Configuration conf) {
|
||||||
|
public synchronized void setClusterMetrics(ClusterMetrics st) {
|
||||||
|
super.setClusterMetrics(st);
|
||||||
|
updateRegionLoad();
|
||||||
|
- for(CostFromRegionLoadFunction cost : regionLoadFunctions) {
|
||||||
|
- cost.setClusterMetrics(st);
|
||||||
|
- }
|
||||||
|
|
||||||
|
// update metrics size
|
||||||
|
try {
|
||||||
|
@@ -599,12 +591,16 @@ private void addCostFunction(CostFunction costFunction) {
|
||||||
|
|
||||||
|
private String functionCost() {
|
||||||
|
StringBuilder builder = new StringBuilder();
|
||||||
|
- for (CostFunction c:costFunctions) {
|
||||||
|
+ for (CostFunction c : costFunctions) {
|
||||||
|
builder.append(c.getClass().getSimpleName());
|
||||||
|
builder.append(" : (");
|
||||||
|
- builder.append(c.getMultiplier());
|
||||||
|
- builder.append(", ");
|
||||||
|
- builder.append(c.cost());
|
||||||
|
+ if (c.isNeeded()) {
|
||||||
|
+ builder.append(c.getMultiplier());
|
||||||
|
+ builder.append(", ");
|
||||||
|
+ builder.append(c.cost());
|
||||||
|
+ } else {
|
||||||
|
+ builder.append("not needed");
|
||||||
|
+ }
|
||||||
|
builder.append("); ");
|
||||||
|
}
|
||||||
|
return builder.toString();
|
||||||
|
@@ -613,11 +609,15 @@ private String functionCost() {
|
||||||
|
private String totalCostsPerFunc() {
|
||||||
|
StringBuilder builder = new StringBuilder();
|
||||||
|
for (CostFunction c : costFunctions) {
|
||||||
|
- if (c.getMultiplier() * c.cost() > 0.0) {
|
||||||
|
+ if (c.getMultiplier() <= 0 || !c.isNeeded()) {
|
||||||
|
+ continue;
|
||||||
|
+ }
|
||||||
|
+ double cost = c.getMultiplier() * c.cost();
|
||||||
|
+ if (cost > 0.0) {
|
||||||
|
builder.append(" ");
|
||||||
|
builder.append(c.getClass().getSimpleName());
|
||||||
|
builder.append(" : ");
|
||||||
|
- builder.append(c.getMultiplier() * c.cost());
|
||||||
|
+ builder.append(cost);
|
||||||
|
builder.append(";");
|
||||||
|
}
|
||||||
|
}
|
||||||
|
@@ -679,29 +679,32 @@ private synchronized void updateRegionLoad() {
|
||||||
|
loads.put(regionNameAsString, rLoads);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
-
|
||||||
|
- for(CostFromRegionLoadFunction cost : regionLoadFunctions) {
|
||||||
|
- cost.setLoads(loads);
|
||||||
|
- }
|
||||||
|
}
|
||||||
|
|
||||||
|
- protected void initCosts(Cluster cluster) {
|
||||||
|
+ @RestrictedApi(explanation = "Should only be called in tests", link = "",
|
||||||
|
+ allowedOnPath = ".*(/src/test/.*|StochasticLoadBalancer).java")
|
||||||
|
+ void initCosts(Cluster cluster) {
|
||||||
|
for (CostFunction c:costFunctions) {
|
||||||
|
c.init(cluster);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
- protected void updateCostsWithAction(Cluster cluster, Action action) {
|
||||||
|
+ @RestrictedApi(explanation = "Should only be called in tests", link = "",
|
||||||
|
+ allowedOnPath = ".*(/src/test/.*|StochasticLoadBalancer).java")
|
||||||
|
+ void updateCostsWithAction(Cluster cluster, Action action) {
|
||||||
|
for (CostFunction c : costFunctions) {
|
||||||
|
- c.postAction(action);
|
||||||
|
+ if (c.getMultiplier() > 0 && c.isNeeded()) {
|
||||||
|
+ c.postAction(action);
|
||||||
|
+ }
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Get the names of the cost functions
|
||||||
|
*/
|
||||||
|
- public String[] getCostFunctionNames() {
|
||||||
|
- if (costFunctions == null) return null;
|
||||||
|
+ @RestrictedApi(explanation = "Should only be called in tests", link = "",
|
||||||
|
+ allowedOnPath = ".*(/src/test/.*|StochasticLoadBalancer).java")
|
||||||
|
+ String[] getCostFunctionNames() {
|
||||||
|
String[] ret = new String[costFunctions.size()];
|
||||||
|
for (int i = 0; i < costFunctions.size(); i++) {
|
||||||
|
CostFunction c = costFunctions.get(i);
|
||||||
|
@@ -720,14 +723,16 @@ protected void updateCostsWithAction(Cluster cluster, Action action) {
|
||||||
|
* @return a double of a cost associated with the proposed cluster state. This cost is an
|
||||||
|
* aggregate of all individual cost functions.
|
||||||
|
*/
|
||||||
|
- protected double computeCost(Cluster cluster, double previousCost) {
|
||||||
|
+ @RestrictedApi(explanation = "Should only be called in tests", link = "",
|
||||||
|
+ allowedOnPath = ".*(/src/test/.*|StochasticLoadBalancer).java")
|
||||||
|
+ double computeCost(Cluster cluster, double previousCost) {
|
||||||
|
double total = 0;
|
||||||
|
|
||||||
|
for (int i = 0; i < costFunctions.size(); i++) {
|
||||||
|
CostFunction c = costFunctions.get(i);
|
||||||
|
this.tempFunctionCosts[i] = 0.0;
|
||||||
|
|
||||||
|
- if (c.getMultiplier() <= 0) {
|
||||||
|
+ if (c.getMultiplier() <= 0 || !c.isNeeded()) {
|
||||||
|
continue;
|
||||||
|
}
|
||||||
|
|
||||||
|
@@ -851,75 +856,24 @@ protected void regionMoved(int region, int oldServer, int newServer) {
|
||||||
|
}
|
||||||
|
|
||||||
|
protected abstract double cost();
|
||||||
|
+ }
|
||||||
|
|
||||||
|
- @SuppressWarnings("checkstyle:linelength")
|
||||||
|
- /**
|
||||||
|
- * Function to compute a scaled cost using
|
||||||
|
- * {@link org.apache.commons.math3.stat.descriptive.DescriptiveStatistics#DescriptiveStatistics()}.
|
||||||
|
- * It assumes that this is a zero sum set of costs. It assumes that the worst case
|
||||||
|
- * possible is all of the elements in one region server and the rest having 0.
|
||||||
|
- *
|
||||||
|
- * @param stats the costs
|
||||||
|
- * @return a scaled set of costs.
|
||||||
|
- */
|
||||||
|
- protected double costFromArray(double[] stats) {
|
||||||
|
- double totalCost = 0;
|
||||||
|
- double total = getSum(stats);
|
||||||
|
-
|
||||||
|
- double count = stats.length;
|
||||||
|
- double mean = total/count;
|
||||||
|
-
|
||||||
|
- // Compute max as if all region servers had 0 and one had the sum of all costs. This must be
|
||||||
|
- // a zero sum cost for this to make sense.
|
||||||
|
- double max = ((count - 1) * mean) + (total - mean);
|
||||||
|
-
|
||||||
|
- // It's possible that there aren't enough regions to go around
|
||||||
|
- double min;
|
||||||
|
- if (count > total) {
|
||||||
|
- min = ((count - total) * mean) + ((1 - mean) * total);
|
||||||
|
- } else {
|
||||||
|
- // Some will have 1 more than everything else.
|
||||||
|
- int numHigh = (int) (total - (Math.floor(mean) * count));
|
||||||
|
- int numLow = (int) (count - numHigh);
|
||||||
|
-
|
||||||
|
- min = (numHigh * (Math.ceil(mean) - mean)) + (numLow * (mean - Math.floor(mean)));
|
||||||
|
-
|
||||||
|
- }
|
||||||
|
- min = Math.max(0, min);
|
||||||
|
- for (int i=0; i<stats.length; i++) {
|
||||||
|
- double n = stats[i];
|
||||||
|
- double diff = Math.abs(mean - n);
|
||||||
|
- totalCost += diff;
|
||||||
|
- }
|
||||||
|
-
|
||||||
|
- double scaled = scale(min, max, totalCost);
|
||||||
|
- return scaled;
|
||||||
|
+ /**
|
||||||
|
+ * Scale the value between 0 and 1.
|
||||||
|
+ * @param min Min value
|
||||||
|
+ * @param max The Max value
|
||||||
|
+ * @param value The value to be scaled.
|
||||||
|
+ * @return The scaled value.
|
||||||
|
+ */
|
||||||
|
+ static double scale(double min, double max, double value) {
|
||||||
|
+ if (max <= min || value <= min) {
|
||||||
|
+ return 0;
|
||||||
|
}
|
||||||
|
-
|
||||||
|
- private double getSum(double[] stats) {
|
||||||
|
- double total = 0;
|
||||||
|
- for(double s:stats) {
|
||||||
|
- total += s;
|
||||||
|
- }
|
||||||
|
- return total;
|
||||||
|
+ if ((max - min) == 0) {
|
||||||
|
+ return 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
- /**
|
||||||
|
- * Scale the value between 0 and 1.
|
||||||
|
- *
|
||||||
|
- * @param min Min value
|
||||||
|
- * @param max The Max value
|
||||||
|
- * @param value The value to be scaled.
|
||||||
|
- * @return The scaled value.
|
||||||
|
- */
|
||||||
|
- protected double scale(double min, double max, double value) {
|
||||||
|
- if (max <= min || value <= min) {
|
||||||
|
- return 0;
|
||||||
|
- }
|
||||||
|
- if ((max - min) == 0) return 0;
|
||||||
|
-
|
||||||
|
- return Math.max(0d, Math.min(1d, (value - min) / (max - min)));
|
||||||
|
- }
|
||||||
|
+ return Math.max(0d, Math.min(1d, (value - min) / (max - min)));
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
@@ -938,28 +892,36 @@ protected double scale(double min, double max, double value) {
|
||||||
|
private static final float DEFAULT_MAX_MOVE_PERCENT = 0.25f;
|
||||||
|
|
||||||
|
private final float maxMovesPercent;
|
||||||
|
- private final Configuration conf;
|
||||||
|
+ private final OffPeakHours offPeakHours;
|
||||||
|
+ private final float moveCost;
|
||||||
|
+ private final float moveCostOffPeak;
|
||||||
|
|
||||||
|
MoveCostFunction(Configuration conf) {
|
||||||
|
super(conf);
|
||||||
|
- this.conf = conf;
|
||||||
|
// What percent of the number of regions a single run of the balancer can move.
|
||||||
|
maxMovesPercent = conf.getFloat(MAX_MOVES_PERCENT_KEY, DEFAULT_MAX_MOVE_PERCENT);
|
||||||
|
-
|
||||||
|
+ offPeakHours = OffPeakHours.getInstance(conf);
|
||||||
|
+ moveCost = conf.getFloat(MOVE_COST_KEY, DEFAULT_MOVE_COST);
|
||||||
|
+ moveCostOffPeak = conf.getFloat(MOVE_COST_OFFPEAK_KEY, DEFAULT_MOVE_COST_OFFPEAK);
|
||||||
|
// Initialize the multiplier so that addCostFunction will add this cost function.
|
||||||
|
// It may change during later evaluations, due to OffPeakHours.
|
||||||
|
- this.setMultiplier(conf.getFloat(MOVE_COST_KEY, DEFAULT_MOVE_COST));
|
||||||
|
+ this.setMultiplier(moveCost);
|
||||||
|
}
|
||||||
|
|
||||||
|
@Override
|
||||||
|
- protected double cost() {
|
||||||
|
+ void init(Cluster cluster) {
|
||||||
|
+ super.init(cluster);
|
||||||
|
// Move cost multiplier should be the same cost or higher than the rest of the costs to ensure
|
||||||
|
// that large benefits are need to overcome the cost of a move.
|
||||||
|
- if (OffPeakHours.getInstance(conf).isOffPeakHour()) {
|
||||||
|
- this.setMultiplier(conf.getFloat(MOVE_COST_OFFPEAK_KEY, DEFAULT_MOVE_COST_OFFPEAK));
|
||||||
|
+ if (offPeakHours.isOffPeakHour()) {
|
||||||
|
+ this.setMultiplier(moveCostOffPeak);
|
||||||
|
} else {
|
||||||
|
- this.setMultiplier(conf.getFloat(MOVE_COST_KEY, DEFAULT_MOVE_COST));
|
||||||
|
+ this.setMultiplier(moveCost);
|
||||||
|
}
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
+ @Override
|
||||||
|
+ protected double cost() {
|
||||||
|
// Try and size the max number of Moves, but always be prepared to move some.
|
||||||
|
int maxMoves = Math.max((int) (cluster.numRegions * maxMovesPercent),
|
||||||
|
DEFAULT_MAX_MOVES);
|
||||||
|
@@ -985,7 +947,7 @@ protected double cost() {
|
||||||
|
"hbase.master.balancer.stochastic.regionCountCost";
|
||||||
|
static final float DEFAULT_REGION_COUNT_SKEW_COST = 500;
|
||||||
|
|
||||||
|
- private double[] stats = null;
|
||||||
|
+ private final DoubleArrayCost cost = new DoubleArrayCost();
|
||||||
|
|
||||||
|
RegionCountSkewCostFunction(Configuration conf) {
|
||||||
|
super(conf);
|
||||||
|
@@ -996,8 +958,14 @@ protected double cost() {
|
||||||
|
@Override
|
||||||
|
void init(Cluster cluster) {
|
||||||
|
super.init(cluster);
|
||||||
|
+ cost.prepare(cluster.numServers);
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ for (int i = 0; i < cluster.numServers; i++) {
|
||||||
|
+ costs[i] = cluster.regionsPerServer[i].length;
|
||||||
|
+ }
|
||||||
|
+ });
|
||||||
|
LOG.debug("{} sees a total of {} servers and {} regions.", getClass().getSimpleName(),
|
||||||
|
- cluster.numServers, cluster.numRegions);
|
||||||
|
+ cluster.numServers, cluster.numRegions);
|
||||||
|
if (LOG.isTraceEnabled()) {
|
||||||
|
for (int i =0; i < cluster.numServers; i++) {
|
||||||
|
LOG.trace("{} sees server '{}' has {} regions", getClass().getSimpleName(),
|
||||||
|
@@ -1008,13 +976,15 @@ void init(Cluster cluster) {
|
||||||
|
|
||||||
|
@Override
|
||||||
|
protected double cost() {
|
||||||
|
- if (stats == null || stats.length != cluster.numServers) {
|
||||||
|
- stats = new double[cluster.numServers];
|
||||||
|
- }
|
||||||
|
- for (int i =0; i < cluster.numServers; i++) {
|
||||||
|
- stats[i] = cluster.regionsPerServer[i].length;
|
||||||
|
- }
|
||||||
|
- return costFromArray(stats);
|
||||||
|
+ return cost.cost();
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
+ @Override
|
||||||
|
+ protected void regionMoved(int region, int oldServer, int newServer) {
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ costs[oldServer] = cluster.regionsPerServer[oldServer].length;
|
||||||
|
+ costs[newServer] = cluster.regionsPerServer[newServer].length;
|
||||||
|
+ });
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
@@ -1027,7 +997,7 @@ protected double cost() {
|
||||||
|
"hbase.master.balancer.stochastic.primaryRegionCountCost";
|
||||||
|
private static final float DEFAULT_PRIMARY_REGION_COUNT_SKEW_COST = 500;
|
||||||
|
|
||||||
|
- private double[] stats = null;
|
||||||
|
+ private final DoubleArrayCost cost = new DoubleArrayCost();
|
||||||
|
|
||||||
|
PrimaryRegionCountSkewCostFunction(Configuration conf) {
|
||||||
|
super(conf);
|
||||||
|
@@ -1036,30 +1006,45 @@ protected double cost() {
|
||||||
|
DEFAULT_PRIMARY_REGION_COUNT_SKEW_COST));
|
||||||
|
}
|
||||||
|
|
||||||
|
+ private double computeCostForRegionServer(int regionServerIndex) {
|
||||||
|
+ int cost = 0;
|
||||||
|
+ for (int regionIdx : cluster.regionsPerServer[regionServerIndex]) {
|
||||||
|
+ if (regionIdx == cluster.regionIndexToPrimaryIndex[regionIdx]) {
|
||||||
|
+ cost++;
|
||||||
|
+ }
|
||||||
|
+ }
|
||||||
|
+ return cost;
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
+ @Override
|
||||||
|
+ void init(Cluster cluster) {
|
||||||
|
+ super.init(cluster);
|
||||||
|
+ if (!isNeeded()) {
|
||||||
|
+ return;
|
||||||
|
+ }
|
||||||
|
+ cost.prepare(cluster.numServers);
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ for (int i = 0; i < costs.length; i++) {
|
||||||
|
+ costs[i] = computeCostForRegionServer(i);
|
||||||
|
+ }
|
||||||
|
+ });
|
||||||
|
+ }
|
||||||
|
+
|
||||||
|
@Override
|
||||||
|
boolean isNeeded() {
|
||||||
|
return cluster.hasRegionReplicas;
|
||||||
|
}
|
||||||
|
|
||||||
|
+ @Override
|
||||||
|
+ protected void regionMoved(int region, int oldServer, int newServer) {
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ costs[oldServer] = computeCostForRegionServer(oldServer);
|
||||||
|
+ costs[newServer] = computeCostForRegionServer(newServer);
|
||||||
|
+ });
|
||||||
|
+ }
|
||||||
|
@Override
|
||||||
|
protected double cost() {
|
||||||
|
- if (!cluster.hasRegionReplicas) {
|
||||||
|
- return 0;
|
||||||
|
- }
|
||||||
|
- if (stats == null || stats.length != cluster.numServers) {
|
||||||
|
- stats = new double[cluster.numServers];
|
||||||
|
- }
|
||||||
|
-
|
||||||
|
- for (int i = 0; i < cluster.numServers; i++) {
|
||||||
|
- stats[i] = 0;
|
||||||
|
- for (int regionIdx : cluster.regionsPerServer[i]) {
|
||||||
|
- if (regionIdx == cluster.regionIndexToPrimaryIndex[regionIdx]) {
|
||||||
|
- stats[i]++;
|
||||||
|
- }
|
||||||
|
- }
|
||||||
|
- }
|
||||||
|
-
|
||||||
|
- return costFromArray(stats);
|
||||||
|
+ return cost.cost();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
@@ -1194,51 +1179,51 @@ int regionIndexToEntityIndex(int region) {
|
||||||
|
*/
|
||||||
|
abstract static class CostFromRegionLoadFunction extends CostFunction {
|
||||||
|
|
||||||
|
- private ClusterMetrics clusterStatus = null;
|
||||||
|
- private Map<String, Deque<BalancerRegionLoad>> loads = null;
|
||||||
|
- private double[] stats = null;
|
||||||
|
+ private final DoubleArrayCost cost = new DoubleArrayCost();
|
||||||
|
+
|
||||||
|
CostFromRegionLoadFunction(Configuration conf) {
|
||||||
|
super(conf);
|
||||||
|
}
|
||||||
|
|
||||||
|
- void setClusterMetrics(ClusterMetrics status) {
|
||||||
|
- this.clusterStatus = status;
|
||||||
|
- }
|
||||||
|
-
|
||||||
|
- void setLoads(Map<String, Deque<BalancerRegionLoad>> l) {
|
||||||
|
- this.loads = l;
|
||||||
|
- }
|
||||||
|
+ private double computeCostForRegionServer(int regionServerIndex) {
|
||||||
|
+ // Cost this server has from RegionLoad
|
||||||
|
+ double cost = 0;
|
||||||
|
|
||||||
|
- @Override
|
||||||
|
- protected double cost() {
|
||||||
|
- if (clusterStatus == null || loads == null) {
|
||||||
|
- return 0;
|
||||||
|
- }
|
||||||
|
+ // for every region on this server get the rl
|
||||||
|
+ for (int regionIndex : cluster.regionsPerServer[regionServerIndex]) {
|
||||||
|
+ Collection<BalancerRegionLoad> regionLoadList = cluster.regionLoads[regionIndex];
|
||||||
|
|
||||||
|
- if (stats == null || stats.length != cluster.numServers) {
|
||||||
|
- stats = new double[cluster.numServers];
|
||||||
|
+ // Now if we found a region load get the type of cost that was requested.
|
||||||
|
+ if (regionLoadList != null) {
|
||||||
|
+ cost += getRegionLoadCost(regionLoadList);
|
||||||
|
+ }
|
||||||
|
}
|
||||||
|
+ return cost;
|
||||||
|
+ }
|
||||||
|
|
||||||
|
- for (int i =0; i < stats.length; i++) {
|
||||||
|
- //Cost this server has from RegionLoad
|
||||||
|
- long cost = 0;
|
||||||
|
-
|
||||||
|
- // for every region on this server get the rl
|
||||||
|
- for(int regionIndex:cluster.regionsPerServer[i]) {
|
||||||
|
- Collection<BalancerRegionLoad> regionLoadList = cluster.regionLoads[regionIndex];
|
||||||
|
-
|
||||||
|
- // Now if we found a region load get the type of cost that was requested.
|
||||||
|
- if (regionLoadList != null) {
|
||||||
|
- cost = (long) (cost + getRegionLoadCost(regionLoadList));
|
||||||
|
- }
|
||||||
|
+ @Override
|
||||||
|
+ void init(Cluster cluster) {
|
||||||
|
+ super.init(cluster);
|
||||||
|
+ cost.prepare(cluster.numServers);
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ for (int i = 0; i < costs.length; i++) {
|
||||||
|
+ costs[i] = computeCostForRegionServer(i);
|
||||||
|
}
|
||||||
|
+ });
|
||||||
|
+ }
|
||||||
|
|
||||||
|
- // Add the total cost to the stats.
|
||||||
|
- stats[i] = cost;
|
||||||
|
- }
|
||||||
|
+ @Override
|
||||||
|
+ protected void regionMoved(int region, int oldServer, int newServer) {
|
||||||
|
+ // recompute the stat for the given two region servers
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ costs[oldServer] = computeCostForRegionServer(oldServer);
|
||||||
|
+ costs[newServer] = computeCostForRegionServer(newServer);
|
||||||
|
+ });
|
||||||
|
+ }
|
||||||
|
|
||||||
|
- // Now return the scaled cost from data held in the stats object.
|
||||||
|
- return costFromArray(stats);
|
||||||
|
+ @Override
|
||||||
|
+ protected final double cost() {
|
||||||
|
+ return cost.cost();
|
||||||
|
}
|
||||||
|
|
||||||
|
protected double getRegionLoadCost(Collection<BalancerRegionLoad> regionLoadList) {
|
||||||
|
@@ -1265,18 +1250,20 @@ protected double getRegionLoadCost(Collection<BalancerRegionLoad> regionLoadList
|
||||||
|
|
||||||
|
@Override
|
||||||
|
protected double getRegionLoadCost(Collection<BalancerRegionLoad> regionLoadList) {
|
||||||
|
+ Iterator<BalancerRegionLoad> iter = regionLoadList.iterator();
|
||||||
|
+ if (!iter.hasNext()) {
|
||||||
|
+ return 0;
|
||||||
|
+ }
|
||||||
|
+ double previous = getCostFromRl(iter.next());
|
||||||
|
+ if (!iter.hasNext()) {
|
||||||
|
+ return 0;
|
||||||
|
+ }
|
||||||
|
double cost = 0;
|
||||||
|
- double previous = 0;
|
||||||
|
- boolean isFirst = true;
|
||||||
|
- for (BalancerRegionLoad rl : regionLoadList) {
|
||||||
|
- double current = getCostFromRl(rl);
|
||||||
|
- if (isFirst) {
|
||||||
|
- isFirst = false;
|
||||||
|
- } else {
|
||||||
|
- cost += current - previous;
|
||||||
|
- }
|
||||||
|
+ do {
|
||||||
|
+ double current = getCostFromRl(iter.next());
|
||||||
|
+ cost += current - previous;
|
||||||
|
previous = current;
|
||||||
|
- }
|
||||||
|
+ } while (iter.hasNext());
|
||||||
|
return Math.max(0, cost / (regionLoadList.size() - 1));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
diff --git a/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestDoubleArrayCost.java b/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestDoubleArrayCost.java
|
||||||
|
new file mode 100644
|
||||||
|
index 000000000000..8dd1e4973b68
|
||||||
|
--- /dev/null
|
||||||
|
+++ b/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestDoubleArrayCost.java
|
||||||
|
@@ -0,0 +1,67 @@
|
||||||
|
+/**
|
||||||
|
+ * 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
|
||||||
|
+ *
|
||||||
|
+ * 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 org.apache.hadoop.hbase.master.balancer;
|
||||||
|
+
|
||||||
|
+import static org.junit.Assert.assertEquals;
|
||||||
|
+
|
||||||
|
+import org.apache.hadoop.hbase.HBaseClassTestRule;
|
||||||
|
+import org.apache.hadoop.hbase.testclassification.MasterTests;
|
||||||
|
+import org.apache.hadoop.hbase.testclassification.SmallTests;
|
||||||
|
+import org.junit.ClassRule;
|
||||||
|
+import org.junit.Test;
|
||||||
|
+import org.junit.experimental.categories.Category;
|
||||||
|
+
|
||||||
|
+@Category({ MasterTests.class, SmallTests.class })
|
||||||
|
+public class TestDoubleArrayCost {
|
||||||
|
+
|
||||||
|
+ @ClassRule
|
||||||
|
+ public static final HBaseClassTestRule CLASS_RULE =
|
||||||
|
+ HBaseClassTestRule.forClass(TestDoubleArrayCost.class);
|
||||||
|
+
|
||||||
|
+ @Test
|
||||||
|
+ public void testComputeCost() {
|
||||||
|
+ DoubleArrayCost cost = new DoubleArrayCost();
|
||||||
|
+
|
||||||
|
+ cost.prepare(100);
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ for (int i = 0; i < 100; i++) {
|
||||||
|
+ costs[i] = 10;
|
||||||
|
+ }
|
||||||
|
+ });
|
||||||
|
+ assertEquals(0, cost.cost(), 0.01);
|
||||||
|
+
|
||||||
|
+ cost.prepare(101);
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ for (int i = 0; i < 100; i++) {
|
||||||
|
+ costs[i] = 0;
|
||||||
|
+ }
|
||||||
|
+ costs[100] = 100;
|
||||||
|
+ });
|
||||||
|
+ assertEquals(1, cost.cost(), 0.01);
|
||||||
|
+
|
||||||
|
+ cost.prepare(200);
|
||||||
|
+ cost.setCosts(costs -> {
|
||||||
|
+ for (int i = 0; i < 100; i++) {
|
||||||
|
+ costs[i] = 0;
|
||||||
|
+ costs[i + 100] = 100;
|
||||||
|
+ }
|
||||||
|
+ costs[100] = 100;
|
||||||
|
+ });
|
||||||
|
+ assertEquals(0.5, cost.cost(), 0.01);
|
||||||
|
+ }
|
||||||
|
+}
|
||||||
|
\ No newline at end of file
|
||||||
|
diff --git a/hbase-server/src/test/java/org/apache/hadoop/hbase/TestStochasticBalancerJmxMetrics.java b/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestStochasticBalancerJmxMetrics.java
|
||||||
|
similarity index 95%
|
||||||
|
rename from hbase-server/src/test/java/org/apache/hadoop/hbase/TestStochasticBalancerJmxMetrics.java
|
||||||
|
rename to hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestStochasticBalancerJmxMetrics.java
|
||||||
|
index 16d2c4d7c5ba..ab1c76c2e9dd 100644
|
||||||
|
--- a/hbase-server/src/test/java/org/apache/hadoop/hbase/TestStochasticBalancerJmxMetrics.java
|
||||||
|
+++ b/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestStochasticBalancerJmxMetrics.java
|
||||||
|
@@ -15,7 +15,7 @@
|
||||||
|
* See the License for the specific language governing permissions and
|
||||||
|
* limitations under the License.
|
||||||
|
*/
|
||||||
|
-package org.apache.hadoop.hbase;
|
||||||
|
+package org.apache.hadoop.hbase.master.balancer;
|
||||||
|
|
||||||
|
import static org.junit.Assert.assertTrue;
|
||||||
|
|
||||||
|
@@ -35,10 +35,14 @@
|
||||||
|
import javax.management.remote.JMXConnector;
|
||||||
|
import javax.management.remote.JMXConnectorFactory;
|
||||||
|
import org.apache.hadoop.conf.Configuration;
|
||||||
|
+import org.apache.hadoop.hbase.HBaseClassTestRule;
|
||||||
|
+import org.apache.hadoop.hbase.HBaseTestingUtility;
|
||||||
|
+import org.apache.hadoop.hbase.HConstants;
|
||||||
|
+import org.apache.hadoop.hbase.JMXListener;
|
||||||
|
+import org.apache.hadoop.hbase.ServerName;
|
||||||
|
+import org.apache.hadoop.hbase.TableName;
|
||||||
|
import org.apache.hadoop.hbase.client.RegionInfo;
|
||||||
|
import org.apache.hadoop.hbase.coprocessor.CoprocessorHost;
|
||||||
|
-import org.apache.hadoop.hbase.master.balancer.BalancerTestBase;
|
||||||
|
-import org.apache.hadoop.hbase.master.balancer.StochasticLoadBalancer;
|
||||||
|
import org.apache.hadoop.hbase.testclassification.MediumTests;
|
||||||
|
import org.apache.hadoop.hbase.testclassification.MiscTests;
|
||||||
|
import org.apache.hadoop.hbase.util.Threads;
|
||||||
|
@@ -199,7 +203,9 @@ public void testJmxMetrics_PerTableMode() throws Exception {
|
||||||
|
final int count = 0;
|
||||||
|
for (int i = 0; i < 10; i++) {
|
||||||
|
Set<String> metrics = readJmxMetrics();
|
||||||
|
- if (metrics != null) return metrics;
|
||||||
|
+ if (metrics != null) {
|
||||||
|
+ return metrics;
|
||||||
|
+ }
|
||||||
|
LOG.warn("Failed to get jmxmetrics... sleeping, retrying; " + i + " of " + count + " times");
|
||||||
|
Threads.sleep(1000);
|
||||||
|
}
|
||||||
|
@@ -208,7 +214,6 @@ public void testJmxMetrics_PerTableMode() throws Exception {
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Read the attributes from Hadoop->HBase->Master->Balancer in JMX
|
||||||
|
- * @throws IOException
|
||||||
|
*/
|
||||||
|
private Set<String> readJmxMetrics() throws IOException {
|
||||||
|
JMXConnector connector = null;
|
||||||
|
@@ -273,7 +278,9 @@ public void testJmxMetrics_PerTableMode() throws Exception {
|
||||||
|
}
|
||||||
|
|
||||||
|
private static void printMetrics(Set<String> metrics, String info) {
|
||||||
|
- if (null != info) LOG.info("++++ ------ " + info + " ------");
|
||||||
|
+ if (null != info) {
|
||||||
|
+ LOG.info("++++ ------ " + info + " ------");
|
||||||
|
+ }
|
||||||
|
|
||||||
|
LOG.info("++++ metrics count = " + metrics.size());
|
||||||
|
for (String str : metrics) {
|
||||||
|
diff --git a/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestStochasticLoadBalancer.java b/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestStochasticLoadBalancer.java
|
||||||
|
index b97679f0470f..ea65f96eaf51 100644
|
||||||
|
--- a/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestStochasticLoadBalancer.java
|
||||||
|
+++ b/hbase-server/src/test/java/org/apache/hadoop/hbase/master/balancer/TestStochasticLoadBalancer.java
|
||||||
|
@@ -358,34 +358,6 @@ public void testRegionLoadCost() {
|
||||||
|
assertEquals(2.5, result, 0.01);
|
||||||
|
}
|
||||||
|
|
||||||
|
- @Test
|
||||||
|
- public void testCostFromArray() {
|
||||||
|
- Configuration conf = HBaseConfiguration.create();
|
||||||
|
- StochasticLoadBalancer.CostFromRegionLoadFunction
|
||||||
|
- costFunction = new StochasticLoadBalancer.MemStoreSizeCostFunction(conf);
|
||||||
|
- costFunction.init(mockCluster(new int[]{0, 0, 0, 0, 1}));
|
||||||
|
-
|
||||||
|
- double[] statOne = new double[100];
|
||||||
|
- for (int i =0; i < 100; i++) {
|
||||||
|
- statOne[i] = 10;
|
||||||
|
- }
|
||||||
|
- assertEquals(0, costFunction.costFromArray(statOne), 0.01);
|
||||||
|
-
|
||||||
|
- double[] statTwo= new double[101];
|
||||||
|
- for (int i =0; i < 100; i++) {
|
||||||
|
- statTwo[i] = 0;
|
||||||
|
- }
|
||||||
|
- statTwo[100] = 100;
|
||||||
|
- assertEquals(1, costFunction.costFromArray(statTwo), 0.01);
|
||||||
|
-
|
||||||
|
- double[] statThree = new double[200];
|
||||||
|
- for (int i =0; i < 100; i++) {
|
||||||
|
- statThree[i] = (0);
|
||||||
|
- statThree[i+100] = 100;
|
||||||
|
- }
|
||||||
|
- assertEquals(0.5, costFunction.costFromArray(statThree), 0.01);
|
||||||
|
- }
|
||||||
|
-
|
||||||
|
@Test
|
||||||
|
public void testLosingRs() throws Exception {
|
||||||
|
int numNodes = 3;
|
Loading…
Reference in New Issue