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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
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
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package org.apache.cassandra.db.virtual;
import com.codahale.metrics.Snapshot;
import org.apache.cassandra.cql3.statements.BatchStatement;
import org.apache.cassandra.db.marshal.DoubleType;
import org.apache.cassandra.db.marshal.LongType;
import org.apache.cassandra.db.marshal.UTF8Type;
import org.apache.cassandra.dht.LocalPartitioner;
import org.apache.cassandra.metrics.BatchMetrics;
import org.apache.cassandra.schema.TableMetadata;
public class BatchMetricsTable extends AbstractVirtualTable
{
private static final String PARTITIONS_PER_LOGGED_BATCH = "partitions_per_logged_batch";
private static final String PARTITIONS_PER_UNLOGGED_BATCH = "partitions_per_unlogged_batch";
private static final String PARTITIONS_PER_COUNTER_BATCH = "partitions_per_counter_batch";
private final static String P50 = "p50th";
private final static String P99 = "p99th";
private final static String P999 = "p999th";
private final static String MAX = "max";
BatchMetricsTable(String keyspace)
{
super(TableMetadata.builder(keyspace, "batch_metrics")
.comment("Metrics specific to batch statements")
.kind(TableMetadata.Kind.VIRTUAL)
.partitioner(new LocalPartitioner(UTF8Type.instance))
.addPartitionKeyColumn("name", UTF8Type.instance)
.addRegularColumn(P50, DoubleType.instance)
.addRegularColumn(P99, DoubleType.instance)
.addRegularColumn(P999, DoubleType.instance)
.addRegularColumn(MAX, LongType.instance)
.build());
}
@Override
public DataSet data()
{
SimpleDataSet result = new SimpleDataSet(metadata());
BatchMetrics metrics = BatchStatement.metrics;
addRow(result, PARTITIONS_PER_LOGGED_BATCH, metrics.partitionsPerLoggedBatch.getSnapshot());
addRow(result, PARTITIONS_PER_UNLOGGED_BATCH, metrics.partitionsPerUnloggedBatch.getSnapshot());
addRow(result, PARTITIONS_PER_COUNTER_BATCH, metrics.partitionsPerCounterBatch.getSnapshot());
return result;
}
private void addRow(SimpleDataSet dataSet, String name, Snapshot snapshot)
{
dataSet.row(name)
.column(P50, snapshot.getMedian())
.column(P99, snapshot.get99thPercentile())
.column(P999, snapshot.get999thPercentile())
.column(MAX, snapshot.getMax());
}
}
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