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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
* 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.cassandra.tools.nodetool.stats;
import java.io.PrintStream;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Stream;
import com.google.common.collect.Multimap;
import org.apache.cassandra.tools.nodetool.formatter.TableBuilder;
import static java.util.stream.Collectors.toList;
public class TpStatsPrinter
{
public static StatsPrinter from(String format)
{
switch (format)
{
case "json":
return new StatsPrinter.JsonPrinter();
case "yaml":
return new StatsPrinter.YamlPrinter();
default:
return new DefaultPrinter();
}
}
public static class DefaultPrinter implements StatsPrinter
{
@Override
public void print(TpStatsHolder data, PrintStream out)
{
final TableBuilder poolBuilder = new TableBuilder();
poolBuilder.add("Pool Name", "Active", "Pending", "Completed", "Blocked", "All time blocked");
final Multimap threadPools = data.probe.getThreadPools();
for (final Map.Entry tpool : threadPools.entries())
{
poolBuilder.add(tpool.getValue(),
data.probe.getThreadPoolMetric(tpool.getKey(), tpool.getValue(), "ActiveTasks").toString(),
data.probe.getThreadPoolMetric(tpool.getKey(), tpool.getValue(), "PendingTasks").toString(),
data.probe.getThreadPoolMetric(tpool.getKey(), tpool.getValue(), "CompletedTasks").toString(),
data.probe.getThreadPoolMetric(tpool.getKey(), tpool.getValue(), "CurrentlyBlockedTasks").toString(),
data.probe.getThreadPoolMetric(tpool.getKey(), tpool.getValue(), "TotalBlockedTasks").toString());
}
poolBuilder.printTo(out);
out.println("\nLatencies waiting in queue (micros) per dropped message types");
final TableBuilder droppedBuilder = new TableBuilder();
droppedBuilder.add("Message type", "Dropped ", "50% ", "95% ", "99% ", "Max");
final HashMap droppedMessage = new HashMap<>();
final HashMap waitLatencies = new HashMap<>();
for (final Map.Entry entry : data.probe.getDroppedMessages().entrySet())
{
droppedMessage.put(entry.getKey(), entry.getValue());
try
{
waitLatencies.put(entry.getKey(), data.probe.metricPercentilesAsArray(data.probe.getMessagingQueueWaitMetrics(entry.getKey())));
}
catch (RuntimeException e)
{
// ignore the exceptions when fetching metrics
}
}
for (final Map.Entry entry : droppedMessage.entrySet())
{
final List columns = Stream.of(entry.getKey(), entry.getValue().toString()).collect(toList());
if (waitLatencies.containsKey(entry.getKey()))
{
final Double[] latencies = waitLatencies.get(entry.getKey());
columns.addAll(Arrays.asList(latencies[0].toString(),
latencies[2].toString(),
latencies[4].toString(),
latencies[6].toString()));
}
else
{
columns.addAll(Arrays.asList("N/A", "N/A", "N/A", "N/A"));
}
droppedBuilder.add(columns.toArray(new String[0]));
}
droppedBuilder.printTo(out);
}
}
}
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