public void Write(MetricValue metric)
{
if (metric == null)
{
Logger.Debug("write() - Invalid null metric");
return;
}
if (!_connected)
StartConnection();
if (_connected && _channel != null)
{
string routingKey = GetAmqpRoutingKey(metric);
string message = metric.GetMetricJsonStr();
try
{
_channel.BasicPublish(_exchange, routingKey, null, Encoding.UTF8.GetBytes(message));
}
catch
{
CloseConnection();
}
}
}
public IList<MetricValue> Read()
{
if (DateTime.Now > _configurationReloadTime.AddSeconds(_reloadConfigurationInterval))
{
Logger.Info("WindowsPerformanceCounter reloading configuration");
Configure();
}
var metricValueList = new List<MetricValue>();
foreach (Metric metric in _metrics)
{
var vals = new List<double>();
var missingInstances = new List<PerformanceCounter>();
foreach (PerformanceCounter ctr in metric.Counters)
{
double val;
try
{
val = ctr.NextValue();
}
catch (InvalidOperationException)
{
// The instance is gone
missingInstances.Add(ctr);
continue;
}
if (metric.ScaleUpFactor > 0)
{
val = val*metric.ScaleUpFactor;
}
else
{
if (metric.ScaleDownFactor > 0)
{
val = val/metric.ScaleDownFactor;
}
}
vals.Add(val);
}
foreach (PerformanceCounter missingInstance in missingInstances)
{
string logstr =
string.Format(
"Category:{0} - Instance:{1} - counter:{2} - ScaleUpFactor:{3} - ScaleDownFactor:{4} - CollectdPlugin:{5} - CollectdPluginInstance:{6} - CollectdType:{7} - CollectdTypeInstance:{8}",
metric.Category, metric.Instance, metric.CounterName, metric.ScaleUpFactor, metric.ScaleDownFactor, metric.CollectdPlugin, metric.CollectdPluginInstance,
metric.CollectdType, metric.CollectdTypeInstance);
Logger.Info("Removed Performance COUNTER : {0}", logstr);
metric.Counters.Remove(missingInstance);
}
var metricValue = new MetricValue
{
HostName = _hostName,
PluginName = metric.CollectdPlugin,
PluginInstanceName = metric.CollectdPluginInstance,
TypeName = metric.CollectdType,
TypeInstanceName = metric.CollectdTypeInstance,
Values = vals.ToArray()
};
TimeSpan t = DateTime.UtcNow - new DateTime(1970, 1, 1);
double epoch = t.TotalMilliseconds/1000;
metricValue.Epoch = Math.Round(epoch, 3);
metricValueList.Add(metricValue);
}
return (metricValueList);
}
public void Write(MetricValue metric)
{
// Optoinal Regex replace of unsafe chars
if (SafeCharsRegex != null)
{
metric.PluginInstanceName = SafeCharsRegex.Replace(metric.PluginInstanceName, ReplaceWith);
}
string message = metric.GetMetricJsonStr();
if (_batchedMetricStr == null)
{
_batchedMetricStr = new StringBuilder("[").Append(message);
}
else
{
_batchedMetricStr.Append(",").Append(message);
}
_numMetrics++;
if (_numMetrics < BatchSize) return;
publish();
}
public void Write(MetricValue metric)
{
if (metric == null)
{
Logger.Debug("write() - Invalid null metric");
return;
}
foreach (HttpWriter writer in _httpWriters)
{
writer.Write(metric);
}
}
public void Aggregate(ref MetricValue metricValue)
{
// If rates are not stored then there is nothing to aggregate
if (!_storeRates)
{
return;
}
IList<DataSource> dsl = DataSetCollection.Instance.GetDataSource(metricValue.TypeName);
if (dsl == null || metricValue.Values.Length != dsl.Count)
{
return;
}
double now = Util.GetNow();
lock (_cacheLock)
{
CacheEntry cEntry;
string key = metricValue.Key();
if (!(_cache.TryGetValue(key, out cEntry)))
{
cEntry = new CacheEntry(metricValue.DeepCopy());
for (int i = 0; i < metricValue.Values.Length; i++)
{
if (dsl[i].Type == DsType.Derive ||
dsl[i].Type == DsType.Absolute ||
dsl[i].Type == DsType.Counter)
{
metricValue.Values[i] = double.NaN;
cEntry.MetricRate.Values[i] = double.NaN;
}
}
cEntry.MetricRate.Epoch = now;
_cache[key] = cEntry;
return;
}
for (int i = 0; i < metricValue.Values.Length; i++)
{
double rawValNew = metricValue.Values[i];
double rawValOld = cEntry.RawValues[i];
double rawValDiff = rawValNew - rawValOld;
double timeDiff = cEntry.MetricRate.Epoch - now;
double rateNew = rawValDiff/timeDiff;
switch (dsl[i].Type)
{
case DsType.Gauge:
// no rates calculations are done, values are stored as-is for gauge
cEntry.RawValues[i] = rawValNew;
cEntry.MetricRate.Values[i] = rawValNew;
break;
case DsType.Absolute:
// similar to gauge, except value will be divided by time diff
cEntry.MetricRate.Values[i] = metricValue.Values[i]/timeDiff;
cEntry.RawValues[i] = rawValNew;
metricValue.Values[i] = cEntry.MetricRate.Values[i];
break;
case DsType.Derive:
cEntry.RawValues[i] = rawValNew;
cEntry.MetricRate.Values[i] = rateNew;
metricValue.Values[i] = rateNew;
break;
case DsType.Counter:
// Counters are very simlar to derive except when counter wraps around
if (rawValNew < rawValOld)
{
// counter has wrapped around
cEntry.MetricRate.Values[i] = metricValue.Values[i]/timeDiff;
cEntry.RawValues[i] = rawValNew;
metricValue.Values[i] = cEntry.MetricRate.Values[i];
}
else
{
cEntry.MetricRate.Values[i] = rateNew;
cEntry.RawValues[i] = rawValNew;
metricValue.Values[i] = rateNew;
}
break;
}
// range checks
if (metricValue.Values[i] < dsl[i].Min)
{
metricValue.Values[i] = dsl[i].Min;
cEntry.RawValues[i] = metricValue.Values[i];
}
if (metricValue.Values[i] > dsl[i].Max)
{
metricValue.Values[i] = dsl[i].Max;
cEntry.RawValues[i] = metricValue.Values[i];
}
cEntry.MetricRate.Epoch = now;
_cache[key] = cEntry;
}
}
}
public void Write(MetricValue metric)
{
string message = metric.GetMetricJsonStr();
if (_batchedMetricStr == null)
{
_batchedMetricStr = new StringBuilder("[").Append(message);
}
else
{
_batchedMetricStr.Append(",").Append(message);
}
_numMetrics++;
if (_numMetrics < BatchSize) return;
_batchedMetricStr.Append("]");
HttpPost(_batchedMetricStr.ToString());
_batchedMetricStr = null;
_numMetrics = 0;
}
public IList<CollectableValue> Read()
{
// Only collect events and event metric every nth interval
if (_intervalCounter++ % _intervalMultiplier != 0)
return new List<CollectableValue>();
IList<CollectableValue> collectableValues = new List<CollectableValue>();
long totalEvents = 0;
long collectionTime = (long)(Util.toEpoch(DateTime.UtcNow));
List<long> recordIds = new List<long>();
foreach (EventQuery eventQuery in _events)
{
List<EventRecord> records = GetEventRecords(eventQuery.minLevel, eventQuery.maxLevel, eventQuery.log, eventQuery.source);
// Filter the events - event ID must be in target range, description must match regex and we mustn't have already read this event record ID in another query
Regex filterExp = new Regex(eventQuery.filterExp, RegexOptions.None);
List<EventRecord> filteredRecords = records.FindAll(delegate(EventRecord record)
{
return !recordIds.Contains((long)record.RecordId) && record.Id >= eventQuery.minEventId && record.Id <= eventQuery.maxEventId && filterExp.IsMatch(record.FormatDescription());
});
// Add these record IDs to dedupe list so we don't capture them again in a later query
filteredRecords.ForEach(delegate(EventRecord record) { recordIds.Add((long)record.RecordId); });
if (filteredRecords.Count <= eventQuery.maxPerCycle)
{
foreach (EventRecord record in filteredRecords)
{
// Timestamp from record is machine time, not GMT
long timestamp = (long)(Util.toEpoch(record.TimeCreated.Value.ToUniversalTime()));
long id = (long)record.RecordId;
string message = record.FormatDescription();
EventValue newevent = new EventValue(_hostName, timestamp, record.Level.Value, eventQuery.title, message, id);
collectableValues.Add(newevent);
totalEvents++;
}
}
else
{
// Too many events - summarise by counting events by application,level and code
Dictionary<string, int> detailMap = new Dictionary<string, int>();
int minLevel = 999; // used to get the most severe event in the period for the summary level
filteredRecords.ForEach(delegate(EventRecord record)
{
string key = string.Format("{0} in {1} ({2})", record.LevelDisplayName, record.ProviderName, record.Id);
if (record.Level.Value < minLevel)
minLevel = record.Level.Value;
if (detailMap.ContainsKey(key))
{
detailMap[key] = detailMap[key] + 1;
}
else
{
detailMap.Add(key, 1);
}
});
List<KeyValuePair<string, int>> detailList = new List<KeyValuePair<string, int>>();
foreach (string key in detailMap.Keys)
{
detailList.Add(new KeyValuePair<string, int>(key, detailMap[key]));
}
detailList.Sort(delegate(KeyValuePair<string, int> pair1, KeyValuePair<string, int> pair2) { return -pair1.Value.CompareTo(pair2.Value); });
string[] messageLines = new string[detailList.Count];
int ix = 0;
foreach (KeyValuePair<string, int> pair in detailList)
{
messageLines[ix++] = pair.Value + " x " + pair.Key;
}
string title = string.Format("{0} ({1} events)", eventQuery.title, filteredRecords.Count);
EventValue newevent = new EventValue(_hostName, collectionTime, minLevel, title, String.Join(", ", messageLines), 0);
collectableValues.Add(newevent);
totalEvents += filteredRecords.Count;
}
}
// Add event count metric
MetricValue eventCountMetric = new MetricValue
{
HostName = _hostName,
PluginName = "windows_events",
PluginInstanceName = "",
TypeName = "count",
TypeInstanceName = "event_count",
Values = new double[] { totalEvents },
FriendlyNames = new string[] { "Windows Event Count" },
Epoch = collectionTime
};
collectableValues.Add(eventCountMetric);
return collectableValues;
}
public IList<MetricValue> Read()
{
lock (_lock)
{
var res = new List<MetricValue>();
var removeList = new List<string>();
foreach (var pair in _metrics)
{
StatsdMetric metric = pair.Value;
if (metric.NumUpdates <= 0 &&
((_delCounter && metric.Type == StatsdMetric.StatsdType.StatsdCounter) ||
(_delTimer && metric.Type == StatsdMetric.StatsdType.StatsdTimer) ||
(_delGauge && metric.Type == StatsdMetric.StatsdType.StatsdGauge) ||
(_delSet && metric.Type == StatsdMetric.StatsdType.StatsdSet)))
{
removeList.Add(pair.Key);
continue;
}
var metricVal = new MetricValue
{
HostName = _hostName,
PluginName = "statsd",
PluginInstanceName = "",
TypeInstanceName = metric.Name,
Values = new[] {metric.GetMetric()}
};
switch (metric.Type)
{
case StatsdMetric.StatsdType.StatsdGauge:
metricVal.TypeName = "gauge";
break;
case StatsdMetric.StatsdType.StatsdTimer:
metricVal.TypeName = "latency";
metricVal.TypeInstanceName += "-average";
break;
case StatsdMetric.StatsdType.StatsdSet:
metricVal.TypeName = "objects";
break;
default:
metricVal.TypeName = "derive";
break;
}
TimeSpan t = DateTime.UtcNow - new DateTime(1970, 1, 1);
double epoch = t.TotalMilliseconds/1000;
metricVal.Epoch = Math.Round(epoch, 3);
res.Add(metricVal);
if (metric.Type == StatsdMetric.StatsdType.StatsdTimer)
{
if (_timerLower)
{
MetricValue lowerValue = metricVal.DeepCopy();
lowerValue.TypeInstanceName = metric.Name + "-lower";
lowerValue.Values[0] = metric.Lat.Min;
res.Add(lowerValue);
}
if (_timerUpper)
{
MetricValue upperValue = metricVal.DeepCopy();
upperValue.TypeInstanceName = metric.Name + "-upper";
upperValue.Values[0] = metric.Lat.Max;
res.Add(upperValue);
}
if (_timerSum)
{
MetricValue upperSum = metricVal.DeepCopy();
upperSum.TypeInstanceName = metric.Name + "-Sum";
upperSum.Values[0] = metric.Lat.Sum;
res.Add(upperSum);
}
if (_timerCount)
{
MetricValue upperCount = metricVal.DeepCopy();
upperCount.TypeInstanceName = metric.Name + "-count";
upperCount.Values[0] = metric.Lat.Num;
res.Add(upperCount);
}
Histogram histogram = metric.Lat.Histogram;
if (_percentiles != null && _percentiles.Length > 0 && histogram != null)
{
foreach (float percentile in _percentiles)
{
double val = histogram.GetPercentile(percentile);
MetricValue mv = metricVal.DeepCopy();
mv.TypeInstanceName = metric.Name + "-percentile-" + percentile;
mv.Values[0] = val;
res.Add(mv);
}
}
}
metric.Reset();
}
Logger.Debug("Removing entries that were not updated:{0}", removeList.Count);
foreach (string key in removeList)
{
_metrics.Remove(key);
}
return (res);
}
}
public IList<CollectableValue> Read()
{
// Check if it is time to reload the metric config
// We need to periodially reload the config in case new instances or new categories are available (e.g. due to cluster move)
if (Util.GetNow() - _lastUpdated >= _reloadInterval)
{
Configure();
}
var metricValueList = new List<CollectableValue>();
foreach (Metric metric in _metrics)
{
try
{
var vals = new List<double>();
foreach (PerformanceCounter ctr in metric.Counters)
{
double val = ctr.NextValue();
val = val * metric.Multiplier;
if (metric.DecimalPlaces >= 0)
val = Math.Round(val, metric.DecimalPlaces);
vals.Add(val);
}
var metricValue = new MetricValue
{
HostName = _hostName,
PluginName = metric.CollectdPlugin,
PluginInstanceName = metric.CollectdPluginInstance,
TypeName = metric.CollectdType,
TypeInstanceName = metric.CollectdTypeInstance,
Values = vals.ToArray(),
FriendlyNames = metric.FriendlyNames
};
metricValue.Epoch = Util.toEpoch(DateTime.UtcNow);
metricValueList.Add(metricValue);
}
catch (Exception ex)
{
Logger.Warn(string.Format("Failed to collect metric: {0}, {1}, {2}", metric.Category, metric.Instance, metric.CounterName), ex);
}
}
return (metricValueList);
}
public void Write(MetricValue metric)
{
Console.WriteLine("ConsolePlugin: {0}", metric.GetMetricJsonStr());
}
public IList <MetricValue> Read()
{
if (DateTime.Now > _configurationReloadTime.AddSeconds(_reloadConfigurationInterval))
{
Logger.Info("WindowsPerformanceCounter reloading configuration");
Configure();
}
var metricValueList = new List <MetricValue>();
foreach (Metric metric in _metrics)
{
var vals = new List <double>();
var missingInstances = new List <PerformanceCounter>();
foreach (PerformanceCounter ctr in metric.Counters)
{
double val;
try
{
val = ctr.NextValue();
}
catch (InvalidOperationException)
{
// The instance is gone
missingInstances.Add(ctr);
continue;
}
if (metric.ScaleUpFactor > 0)
{
val = val * metric.ScaleUpFactor;
}
else
{
if (metric.ScaleDownFactor > 0)
{
val = val / metric.ScaleDownFactor;
}
}
vals.Add(val);
}
foreach (PerformanceCounter missingInstance in missingInstances)
{
string logstr =
string.Format(
"Category:{0} - Instance:{1} - counter:{2} - ScaleUpFactor:{3} - ScaleDownFactor:{4} - CollectdPlugin:{5} - CollectdPluginInstance:{6} - CollectdType:{7} - CollectdTypeInstance:{8}",
metric.Category, metric.Instance, metric.CounterName, metric.ScaleUpFactor, metric.ScaleDownFactor, metric.CollectdPlugin, metric.CollectdPluginInstance,
metric.CollectdType, metric.CollectdTypeInstance);
Logger.Info("Removed Performance COUNTER : {0}", logstr);
metric.Counters.Remove(missingInstance);
}
var metricValue = new MetricValue
{
HostName = _hostName,
PluginName = metric.CollectdPlugin,
PluginInstanceName = metric.CollectdPluginInstance,
TypeName = metric.CollectdType,
TypeInstanceName = metric.CollectdTypeInstance,
Values = vals.ToArray()
};
TimeSpan t = DateTime.UtcNow - new DateTime(1970, 1, 1);
double epoch = t.TotalMilliseconds / 1000;
metricValue.Epoch = Math.Round(epoch, 3);
metricValueList.Add(metricValue);
}
return(metricValueList);
}
private void WriteThreadProc()
{
Logger.Trace("WriteThreadProc() begin");
// Wait a few seconds to give read thread a chance to get metrics.
// Otherwise write thread is always pushing metrics _interval seconds after they were read
Thread.Sleep(15000);
while (_runWriteThread)
{
try
{
double writeStart = Util.GetNow();
int numValues = _collectedValueQueue.Count;
if (numValues > 0)
{
// Transfer current queue contents to working list
// Individual write plugins can choose how to handle the list of collectable values.
Queue <CollectableValue> collectedValues = new Queue <CollectableValue>();
lock (_queueLock)
{
while (_collectedValueQueue.Count > 0)
{
collectedValues.Enqueue(_collectedValueQueue.Dequeue());
}
}
if (collectedValues.Count > 0)
{
foreach (CollectableValue collectedValue in collectedValues)
{
collectedValue.Interval = _interval;
if (collectedValue is MetricValue)
{
MetricValue metricValue = (MetricValue)collectedValue;
_aggregator.Aggregate(ref metricValue);
}
}
foreach (ICollectdPlugin plugin in _plugins)
{
var writePlugin = plugin as ICollectdWritePlugin;
if (writePlugin == null)
{
// skip if plugin is not a writeplugin
continue;
}
writePlugin.Write(collectedValues);
}
}
}
double writeEnd = Util.GetNow();
double elapsed = writeEnd - writeStart;
double revisedInterval = (_interval - elapsed) * 1000;
if (revisedInterval / _interval < 0.1)
{
Logger.Warn("Write thread took {0} seconds out of {1} second cycle", elapsed, _interval);
}
if (revisedInterval >= 0)
{
Thread.Sleep((int)revisedInterval);
}
else
{
LogEventInfo logEvent = new LogEventInfo(LogLevel.Error, Logger.Name, "Write thread exceeded cycle time");
logEvent.Properties.Add("EventID", ErrorCodes.ERROR_WRITE_EXCEEDED_CYCLE_TIME);
Logger.Log(logEvent);
}
}
catch (ThreadInterruptedException)
{
Logger.Info("Write thread interrupted");
}
catch (Exception exp)
{
LogEventInfo logEvent = new LogEventInfo(LogLevel.Error, Logger.Name, "Exception in WriteThreadProc()");
logEvent.Exception = exp;
logEvent.Properties.Add("EventID", ErrorCodes.ERROR_UNHANDLED_EXCEPTION);
Logger.Log(logEvent);
Thread.Sleep(_interval * 1000);
}
}
Logger.Trace("WriteThreadProc() return");
}
private void WriteThreadProc()
{
Logger.Trace("WriteThreadProc() begin");
bool needToFlush = false;
while (_runWriteThread)
{
try
{
while (_metricValueQueue.Count > 0)
{
MetricValue metricValue = null;
lock (_queueLock)
{
if (_metricValueQueue.Count > 0)
{
metricValue = _metricValueQueue.Dequeue();
}
}
if (metricValue != null)
{
needToFlush = true;
metricValue.Interval = _interval;
_aggregator.Aggregate(ref metricValue);
metricValue.AddMetaData(_metaData);
foreach (IMetricsPlugin plugin in _plugins)
{
var writePlugin = plugin as IMetricsWritePlugin;
if (writePlugin == null)
{
// skip if plugin is not a writeplugin, it might be a readplugin
continue;
}
writePlugin.Write(metricValue);
}
}
}
if (needToFlush)
{
needToFlush = false;
foreach (IMetricsPlugin plugin in _plugins)
{
var writePlugin = plugin as IMetricsWritePlugin;
if (writePlugin != null)
{
// flush only if it is a Write plugin
writePlugin.Flush();
}
}
}
if (_metricValueQueue.Count <= 0)
{
Thread.Sleep(1000);
}
}
catch (Exception exp)
{
Logger.Error("WriteThreadProc() got exception : ", exp);
}
}
Logger.Trace("WriteThreadProc() return");
}
public void Write(MetricValue metric)
{
Console.WriteLine("ConsolePlugin: {0}", metric.GetMetricJsonStr());
}
public CacheEntry(MetricValue metricValue)
{
MetricRate = metricValue;
RawValues = (double[])metricValue.Values.Clone();
}
private string GetAmqpRoutingKey(MetricValue metric)
{
string routingKey = _routingKeyPrefix + "." + metric.HostName + "." + metric.PluginName + "." +
metric.PluginInstanceName + "." + metric.TypeName + "." + metric.TypeInstanceName;
return (routingKey);
}
public void Aggregate(ref MetricValue metricValue)
{
// If rates are not stored then there is nothing to aggregate
if (!_storeRates)
{
return;
}
IList <DataSource> dsl = DataSetCollection.Instance.GetDataSource(metricValue.TypeName);
if (dsl == null || metricValue.Values.Length != dsl.Count)
{
return;
}
double now = Util.GetNow();
lock (_cacheLock)
{
CacheEntry cEntry;
string key = metricValue.Key();
if (!(_cache.TryGetValue(key, out cEntry)))
{
cEntry = new CacheEntry(metricValue.DeepCopy());
for (int i = 0; i < metricValue.Values.Length; i++)
{
if (dsl[i].Type == DsType.Derive ||
dsl[i].Type == DsType.Absolute ||
dsl[i].Type == DsType.Counter)
{
metricValue.Values[i] = double.NaN;
cEntry.MetricRate.Values[i] = double.NaN;
}
}
cEntry.MetricRate.Timestamp = now;
_cache[key] = cEntry;
return;
}
for (int i = 0; i < metricValue.Values.Length; i++)
{
double rawValNew = metricValue.Values[i];
double rawValOld = cEntry.RawValues[i];
double rawValDiff = rawValNew - rawValOld;
double timeDiff = cEntry.MetricRate.Timestamp - now;
double rateNew = rawValDiff / timeDiff;
switch (dsl[i].Type)
{
case DsType.Gauge:
// no rates calculations are done, values are stored as-is for gauge
cEntry.RawValues[i] = rawValNew;
cEntry.MetricRate.Values[i] = rawValNew;
break;
case DsType.Absolute:
// similar to gauge, except value will be divided by time diff
cEntry.MetricRate.Values[i] = metricValue.Values[i] / timeDiff;
cEntry.RawValues[i] = rawValNew;
metricValue.Values[i] = cEntry.MetricRate.Values[i];
break;
case DsType.Derive:
cEntry.RawValues[i] = rawValNew;
cEntry.MetricRate.Values[i] = rateNew;
metricValue.Values[i] = rateNew;
break;
case DsType.Counter:
// Counters are very simlar to derive except when counter wraps around
if (rawValNew < rawValOld)
{
// counter has wrapped around
cEntry.MetricRate.Values[i] = metricValue.Values[i] / timeDiff;
cEntry.RawValues[i] = rawValNew;
metricValue.Values[i] = cEntry.MetricRate.Values[i];
}
else
{
cEntry.MetricRate.Values[i] = rateNew;
cEntry.RawValues[i] = rawValNew;
metricValue.Values[i] = rateNew;
}
break;
}
// range checks
if (metricValue.Values[i] < dsl[i].Min)
{
metricValue.Values[i] = dsl[i].Min;
cEntry.RawValues[i] = metricValue.Values[i];
}
if (metricValue.Values[i] > dsl[i].Max)
{
metricValue.Values[i] = dsl[i].Max;
cEntry.RawValues[i] = metricValue.Values[i];
}
cEntry.MetricRate.Timestamp = now;
_cache[key] = cEntry;
}
}
}
public CacheEntry(MetricValue metricValue)
{
MetricRate = metricValue;
RawValues = (double[]) metricValue.Values.Clone();
}
public IList <MetricValue> Read()
{
lock (_lock)
{
var res = new List <MetricValue>();
var removeList = new List <string>();
foreach (var pair in _metrics)
{
StatsdMetric metric = pair.Value;
if (metric.NumUpdates <= 0 &&
((_delCounter && metric.Type == StatsdMetric.StatsdType.StatsdCounter) ||
(_delTimer && metric.Type == StatsdMetric.StatsdType.StatsdTimer) ||
(_delGauge && metric.Type == StatsdMetric.StatsdType.StatsdGauge) ||
(_delSet && metric.Type == StatsdMetric.StatsdType.StatsdSet)))
{
removeList.Add(pair.Key);
continue;
}
var metricVal = new MetricValue
{
HostName = _hostName,
PluginName = "statsd",
PluginInstanceName = "",
TypeInstanceName = metric.Name,
Values = new[] { metric.GetMetric() }
};
switch (metric.Type)
{
case StatsdMetric.StatsdType.StatsdGauge:
metricVal.TypeName = "gauge";
break;
case StatsdMetric.StatsdType.StatsdTimer:
metricVal.TypeName = "latency";
metricVal.TypeInstanceName += "-average";
break;
case StatsdMetric.StatsdType.StatsdSet:
metricVal.TypeName = "objects";
break;
default:
metricVal.TypeName = "derive";
break;
}
TimeSpan t = DateTime.UtcNow - new DateTime(1970, 1, 1);
double epoch = t.TotalMilliseconds / 1000;
metricVal.Epoch = Math.Round(epoch, 3);
res.Add(metricVal);
if (metric.Type == StatsdMetric.StatsdType.StatsdTimer)
{
if (_timerLower)
{
MetricValue lowerValue = metricVal.DeepCopy();
lowerValue.TypeInstanceName = metric.Name + "-lower";
lowerValue.Values[0] = metric.Lat.Min;
res.Add(lowerValue);
}
if (_timerUpper)
{
MetricValue upperValue = metricVal.DeepCopy();
upperValue.TypeInstanceName = metric.Name + "-upper";
upperValue.Values[0] = metric.Lat.Max;
res.Add(upperValue);
}
if (_timerSum)
{
MetricValue upperSum = metricVal.DeepCopy();
upperSum.TypeInstanceName = metric.Name + "-Sum";
upperSum.Values[0] = metric.Lat.Sum;
res.Add(upperSum);
}
if (_timerCount)
{
MetricValue upperCount = metricVal.DeepCopy();
upperCount.TypeInstanceName = metric.Name + "-count";
upperCount.Values[0] = metric.Lat.Num;
res.Add(upperCount);
}
Histogram histogram = metric.Lat.Histogram;
if (_percentiles != null && _percentiles.Length > 0 && histogram != null)
{
foreach (float percentile in _percentiles)
{
double val = histogram.GetPercentile(percentile);
MetricValue mv = metricVal.DeepCopy();
mv.TypeInstanceName = metric.Name + "-percentile-" + percentile;
mv.Values[0] = val;
res.Add(mv);
}
}
}
metric.Reset();
}
Logger.Debug("Removing entries that were not updated:{0}", removeList.Count);
foreach (string key in removeList)
{
_metrics.Remove(key);
}
return(res);
}
}
public MetricValue GetMetricValue(List<double> vals)
{
var metricValue = new MetricValue
{
HostName = s_hostName,
PluginName = CollectdPlugin,
PluginInstanceName = CollectdPluginInstance,
TypeName = CollectdType,
TypeInstanceName = CollectdTypeInstance,
Values = vals.ToArray()
};
TimeSpan t = DateTime.UtcNow - new DateTime(1970, 1, 1);
double epoch = t.TotalMilliseconds / 1000;
metricValue.Epoch = Math.Round(epoch, 3);
return metricValue;
}
public void GetIngestMetrics(MetricValue metric, out List<IngestMetric> metrics, out List<IngestSample> samples)
{
metrics = new List<IngestMetric>();
samples = new List<IngestSample>();
string metricId = metric.PluginName;
if (metric.PluginInstanceName.Length > 0)
metricId += "." + metric.PluginInstanceName.Replace(".", "_");
if (metric.TypeInstanceName.Length > 0)
metricId += "." + metric.TypeInstanceName;
metricId = Regex.Replace(metricId, "[ ]", "_"); // Keep spaces as underscores
metricId = Regex.Replace(metricId, "[^a-zA-Z0-9\\._-]", ""); // Remove punctuation
if (metric.Values.Length == 1)
{
// Simple case - just one metric in type
metrics.Add(new IngestMetric(metricId, metric.FriendlyNames[0], metric.TypeName));
samples.Add(new IngestSample(metricId, (long)metric.Epoch * 1000, metric.Values[0]));
}
else if (metric.Values.Length > 1)
{
// Compound type with multiple metrics
IList<DataSource> dsList = DataSetCollection.Instance.GetDataSource(metric.TypeName);
if (dsList == null)
{
Logger.Debug("Invalid type : {0}, not found in types.db", metric.TypeName);
}
else
{
int ix = 0;
foreach (DataSource ds in dsList)
{
// Include the Types.db suffix in the metric name
metrics.Add(new IngestMetric(metricId + "." + ds.Name, metric.FriendlyNames[ix], metric.TypeName));
samples.Add(new IngestSample(metricId + "." + ds.Name, (long)metric.Epoch * 1000, metric.Values[ix]));
ix++;
}
}
}
}
