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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.
/*
* Licensed to the Apache Software Foundation (ASF) under one
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* 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,
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package org.apache.cassandra.db.virtual;
import org.apache.cassandra.cache.ChunkCache;
import org.apache.cassandra.db.marshal.*;
import org.apache.cassandra.dht.LocalPartitioner;
import org.apache.cassandra.metrics.CacheMetrics;
import org.apache.cassandra.schema.TableMetadata;
import org.apache.cassandra.service.CacheService;
final class CachesTable extends AbstractVirtualTable
{
private static final String NAME = "name";
private static final String CAPACITY_BYTES = "capacity_bytes";
private static final String SIZE_BYTES = "size_bytes";
private static final String ENTRY_COUNT = "entry_count";
private static final String REQUEST_COUNT = "request_count";
private static final String HIT_COUNT = "hit_count";
private static final String HIT_RATIO = "hit_ratio";
private static final String RECENT_REQUEST_RATE_PER_SECOND = "recent_request_rate_per_second";
private static final String RECENT_HIT_RATE_PER_SECOND = "recent_hit_rate_per_second";
CachesTable(String keyspace)
{
super(TableMetadata.builder(keyspace, "caches")
.comment("system caches")
.kind(TableMetadata.Kind.VIRTUAL)
.partitioner(new LocalPartitioner(UTF8Type.instance))
.addPartitionKeyColumn(NAME, UTF8Type.instance)
.addRegularColumn(CAPACITY_BYTES, LongType.instance)
.addRegularColumn(SIZE_BYTES, LongType.instance)
.addRegularColumn(ENTRY_COUNT, Int32Type.instance)
.addRegularColumn(REQUEST_COUNT, LongType.instance)
.addRegularColumn(HIT_COUNT, LongType.instance)
.addRegularColumn(HIT_RATIO, DoubleType.instance)
.addRegularColumn(RECENT_REQUEST_RATE_PER_SECOND, LongType.instance)
.addRegularColumn(RECENT_HIT_RATE_PER_SECOND, LongType.instance)
.build());
}
private void addRow(SimpleDataSet result, String name, CacheMetrics metrics)
{
result.row(name)
.column(CAPACITY_BYTES, metrics.capacity.getValue())
.column(SIZE_BYTES, metrics.size.getValue())
.column(ENTRY_COUNT, metrics.entries.getValue())
.column(REQUEST_COUNT, metrics.requests.getCount())
.column(HIT_COUNT, metrics.hits.getCount())
.column(HIT_RATIO, metrics.hitRate.getValue())
.column(RECENT_REQUEST_RATE_PER_SECOND, (long) metrics.requests.getFifteenMinuteRate())
.column(RECENT_HIT_RATE_PER_SECOND, (long) metrics.hits.getFifteenMinuteRate());
}
public DataSet data()
{
SimpleDataSet result = new SimpleDataSet(metadata());
if (null != ChunkCache.instance)
addRow(result, "chunks", ChunkCache.instance.metrics);
addRow(result, "counters", CacheService.instance.counterCache.getMetrics());
addRow(result, "keys", CacheService.instance.keyCache.getMetrics());
addRow(result, "rows", CacheService.instance.rowCache.getMetrics());
return result;
}
}