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/*
* Copyright (c) 2008-2019, Hazelcast, Inc. All Rights Reserved.
*
* 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.hazelcast.monitor.impl;
import com.hazelcast.internal.memory.MemoryAllocator;
import com.hazelcast.query.impl.Index;
import com.hazelcast.query.impl.IndexHeapMemoryCostUtil;
import com.hazelcast.util.Clock;
import java.util.concurrent.atomic.AtomicLongFieldUpdater;
import static java.util.concurrent.atomic.AtomicLongFieldUpdater.newUpdater;
/**
* The implementation of internal index stats specialized for global indexes.
*
* The main trait of the implementation is the concurrency support, which is
* required for global indexes because they are shared among partitions.
*/
public class GlobalPerIndexStats implements PerIndexStats {
// To compute the average hit cardinality we need to track the total
// cardinality of all of the hits and then divide it by the number of hits.
// But since the number of the indexed entries may change with time, this
// raw total cardinality value can't provide any useful information. So
// instead we store the total normalized cardinality, which sums up the
// individual hit cardinalities divided by the index size at the time of the
// hit. This total normalized cardinality is a floating point number with
// which we can't work easily: we need to perform atomic operations on it
// since global index stats are shared among all map partitions, but there
// is no notion of atomic operations for doubles/floats. To overcome this
// problem we store a scaled long representation which gives around 1%
// precision.
private static final long PRECISION_SCALE = 7;
private static final long PRECISION = 1 << PRECISION_SCALE;
private static final AtomicLongFieldUpdater ENTRY_COUNT = newUpdater(GlobalPerIndexStats.class,
"entryCount");
private static final AtomicLongFieldUpdater QUERY_COUNT = newUpdater(GlobalPerIndexStats.class,
"queryCount");
private static final AtomicLongFieldUpdater HIT_COUNT = newUpdater(GlobalPerIndexStats.class,
"hitCount");
private static final AtomicLongFieldUpdater TOTAL_HIT_LATENCY = newUpdater(GlobalPerIndexStats.class,
"totalHitLatency");
private static final AtomicLongFieldUpdater TOTAL_NORMALIZED_HIT_CARDINALITY = newUpdater(
GlobalPerIndexStats.class, "totalNormalizedHitCardinality");
private static final AtomicLongFieldUpdater INSERT_COUNT = newUpdater(GlobalPerIndexStats.class,
"insertCount");
private static final AtomicLongFieldUpdater TOTAL_INSERT_LATENCY = newUpdater(GlobalPerIndexStats.class,
"totalInsertLatency");
private static final AtomicLongFieldUpdater UPDATE_COUNT = newUpdater(GlobalPerIndexStats.class,
"updateCount");
private static final AtomicLongFieldUpdater TOTAL_UPDATE_LATENCY = newUpdater(GlobalPerIndexStats.class,
"totalUpdateLatency");
private static final AtomicLongFieldUpdater REMOVE_COUNT = newUpdater(GlobalPerIndexStats.class,
"removeCount");
private static final AtomicLongFieldUpdater TOTAL_REMOVE_LATENCY = newUpdater(GlobalPerIndexStats.class,
"totalRemoveLatency");
private static final AtomicLongFieldUpdater VALUES_MEMORY_COST = newUpdater(GlobalPerIndexStats.class,
"valuesMemoryCost");
private final boolean ordered;
private final boolean usesCachedQueryableEntries;
private final long creationTime;
private volatile long entryCount;
private volatile long queryCount;
private volatile long hitCount;
private volatile long totalHitLatency;
private volatile long totalNormalizedHitCardinality;
private volatile long insertCount;
private volatile long totalInsertLatency;
private volatile long updateCount;
private volatile long totalUpdateLatency;
private volatile long removeCount;
private volatile long totalRemoveLatency;
private volatile long valuesMemoryCost;
/**
* Constructs a new instance of global index stats.
*
* @param ordered {@code true} if the stats are being created
* for an ordered index, {@code false} otherwise.
* Affects the on-heap memory cost calculation.
* @param usesCachedQueryableEntries {@code true} if the stats are being created
* for an index for which queryable entries are
* cached, {@code false} otherwise. Affects the
* on-heap memory cost calculation.
*/
public GlobalPerIndexStats(boolean ordered, boolean usesCachedQueryableEntries) {
this.ordered = ordered;
this.usesCachedQueryableEntries = usesCachedQueryableEntries;
this.creationTime = Clock.currentTimeMillis();
}
@Override
public long makeTimestamp() {
return System.nanoTime();
}
@Override
public long getCreationTime() {
return creationTime;
}
@Override
public long getQueryCount() {
return queryCount;
}
@Override
public void incrementQueryCount() {
QUERY_COUNT.incrementAndGet(this);
}
@Override
public long getHitCount() {
return hitCount;
}
@Override
public long getTotalHitLatency() {
return totalHitLatency;
}
@Override
public double getTotalNormalizedHitCardinality() {
return (double) totalNormalizedHitCardinality / PRECISION;
}
@Override
public long getInsertCount() {
return insertCount;
}
@Override
public long getTotalInsertLatency() {
return totalInsertLatency;
}
@Override
public long getUpdateCount() {
return updateCount;
}
@Override
public long getTotalUpdateLatency() {
return totalUpdateLatency;
}
@Override
public long getRemoveCount() {
return removeCount;
}
@Override
public long getTotalRemoveLatency() {
return totalRemoveLatency;
}
@Override
public long getMemoryCost() {
return IndexHeapMemoryCostUtil.estimateMapCost(entryCount, ordered, usesCachedQueryableEntries) + valuesMemoryCost;
}
@Override
public void onInsert(long timestamp, IndexOperationStats operationStats, Index.OperationSource operationSource) {
if (operationStats.getEntryCountDelta() == 0) {
// no entries were inserted
return;
}
if (operationSource == Index.OperationSource.USER) {
TOTAL_INSERT_LATENCY.addAndGet(this, System.nanoTime() - timestamp);
INSERT_COUNT.incrementAndGet(this);
}
ENTRY_COUNT.incrementAndGet(this);
VALUES_MEMORY_COST.addAndGet(this, operationStats.getMemoryCostDelta());
}
@Override
public void onUpdate(long timestamp, IndexOperationStats operationStats, Index.OperationSource operationSource) {
if (operationSource == Index.OperationSource.USER) {
TOTAL_UPDATE_LATENCY.addAndGet(this, System.nanoTime() - timestamp);
UPDATE_COUNT.incrementAndGet(this);
}
VALUES_MEMORY_COST.addAndGet(this, operationStats.getMemoryCostDelta());
}
@Override
public void onRemove(long timestamp, IndexOperationStats operationStats, Index.OperationSource operationSource) {
if (operationStats.getEntryCountDelta() == 0) {
// no entries were removed
return;
}
if (operationSource == Index.OperationSource.USER) {
TOTAL_REMOVE_LATENCY.addAndGet(this, System.nanoTime() - timestamp);
REMOVE_COUNT.incrementAndGet(this);
}
ENTRY_COUNT.decrementAndGet(this);
VALUES_MEMORY_COST.addAndGet(this, operationStats.getMemoryCostDelta());
}
@Override
public void onClear() {
entryCount = 0;
valuesMemoryCost = 0;
}
@Override
public void onIndexHit(long timestamp, long hitCardinality) {
long localEntryCount = entryCount;
if (localEntryCount == 0) {
// selecting nothing from nothing is not counted as a hit
return;
}
TOTAL_HIT_LATENCY.addAndGet(this, System.nanoTime() - timestamp);
HIT_COUNT.incrementAndGet(this);
// limit the cardinality for "safety"
long adjustedHitCardinality = Math.min(hitCardinality, localEntryCount);
// scale the cardinality to maintain the precision
long scaledHitCardinality = adjustedHitCardinality << PRECISION_SCALE;
// this will produce a value in [0, PRECISION] range
long normalizedHitCardinality = scaledHitCardinality / localEntryCount;
TOTAL_NORMALIZED_HIT_CARDINALITY.addAndGet(this, normalizedHitCardinality);
}
@Override
public void resetPerQueryStats() {
// Do nothing, per-query stats are tracked in GlobalQueryContextWithStats
// since this stats instance is shared among queries.
}
@Override
public MemoryAllocator wrapMemoryAllocator(MemoryAllocator memoryAllocator) {
throw new UnsupportedOperationException("global indexes are not supposed to use native memory allocators");
}
@Override
public IndexOperationStats createOperationStats() {
return new GlobalIndexOperationStats();
}
}