public async Task AddAsync(FunctionInstanceLogItem item, CancellationToken cancellationToken = default(CancellationToken))
{
item.Validate();
{
lock (_lock)
{
StartBackgroundFlusher();
if (_container == null)
{
_container = new ContainerActiveLogger(_containerName, _instanceTable);
}
if (_instanceLogger == null)
{
int size = GetContainerSize();
_instanceLogger = new CloudTableInstanceCountLogger(_containerName, _instanceTable, size);
}
}
if (item.IsCompleted())
{
_container.Decrement(item.FunctionInstanceId);
_instanceLogger.Decrement(item.FunctionInstanceId);
}
else
{
_container.Increment(item.FunctionInstanceId);
_instanceLogger.Increment(item.FunctionInstanceId);
}
}
lock (_lock)
{
if (_seenFunctions.Add(item.FunctionName))
{
_funcDefs.Add(FunctionDefinitionEntity.New(item.FunctionName));
}
}
// Both Start and Completed log here. Completed will overwrite a Start entry.
lock (_lock)
{
_instances.Add(InstanceTableEntity.New(item));
_recents.Add(RecentPerFuncEntity.New(_containerName, item));
}
if (item.IsCompleted())
{
// For completed items, aggregate total passed and failed within a time bucket.
// Time aggregate is flushed later.
// Don't flush until we've moved onto the next interval.
{
var newEntity = TimelineAggregateEntity.New(_containerName, item.FunctionName, item.StartTime, _uniqueId);
lock (_lock)
{
// If we already have an entity at this time slot (specified by rowkey), then use that so that
// we update the existing counters.
var existingEntity = _timespan.GetFromRowKey(newEntity.RowKey);
if (existingEntity == null)
{
_timespan.Add(newEntity);
existingEntity = newEntity;
}
Increment(item, existingEntity);
}
}
}
// Flush every 100 items, maximize with tables.
Task t1 = FlushIntancesAsync(false);
Task t2 = FlushTimelineAggregateAsync();
await Task.WhenAll(t1, t2);
}
public Task AddAsync(FunctionInstanceLogItem item, CancellationToken cancellationToken = default(CancellationToken))
{
if (item == null)
{
throw new ArgumentNullException("item");
}
item.Validate();
item.FunctionId = FunctionId.Build(this._hostName, item.FunctionName);
// Both Start and Completed log here. Completed will overwrite a Start entry.
lock (_lock)
{
_activeFuncs[item.FunctionInstanceId] = item;
}
lock (_lock)
{
StartBackgroundFlusher();
if (_container == null)
{
_container = new ContainerActiveLogger(_machineName, _logTableProvider);
}
if (_instanceLogger == null)
{
int size = GetContainerSize();
_instanceLogger = new CloudTableInstanceCountLogger(_machineName, _logTableProvider, size);
}
}
if (item.IsCompleted())
{
_container.Decrement(item.FunctionInstanceId);
_instanceLogger.Decrement(item.FunctionInstanceId);
lock (_lock)
{
_completedFunctions.Add(item.FunctionInstanceId);
}
}
else
{
_container.Increment(item.FunctionInstanceId);
_instanceLogger.Increment(item.FunctionInstanceId);
}
lock (_lock)
{
if (_seenFunctions.Add(item.FunctionName))
{
_funcDefs.Add(FunctionDefinitionEntity.New(item.FunctionId, item.FunctionName));
}
}
if (item.IsCompleted())
{
// For completed items, aggregate total passed and failed within a time bucket.
// Time aggregate is flushed later.
// Don't flush until we've moved onto the next interval.
{
var newEntity = TimelineAggregateEntity.New(_machineName, item.FunctionId, item.StartTime, _uniqueId);
lock (_lock)
{
// If we already have an entity at this time slot (specified by rowkey), then use that so that
// we update the existing counters.
var existingEntity = _timespan.GetFromRowKey(newEntity.RowKey);
if (existingEntity == null)
{
_timespan.Add(newEntity);
existingEntity = newEntity;
}
Increment(item, existingEntity);
}
}
}
// Results will get written on a background thread
return(Task.FromResult(0));
}
public async Task AddAsync(FunctionInstanceLogItem item, CancellationToken cancellationToken = default(CancellationToken))
{
item.Validate();
{
lock (_lock)
{
StartBackgroundFlusher();
if (_container == null)
{
_container = new ContainerActiveLogger(_containerName, _instanceTable);
}
if (_instanceLogger == null)
{
int size = GetContainerSize();
_instanceLogger = new CloudTableInstanceCountLogger(_containerName, _instanceTable, size);
}
}
if (item.IsCompleted())
{
_container.Decrement(item.FunctionInstanceId);
_instanceLogger.Decrement(item.FunctionInstanceId);
}
else
{
_container.Increment(item.FunctionInstanceId);
_instanceLogger.Increment(item.FunctionInstanceId);
}
}
lock (_lock)
{
if (_seenFunctions.Add(item.FunctionName))
{
_funcDefs.Add(FunctionDefinitionEntity.New(item.FunctionName));
}
}
if (!item.IsCompleted())
{
return;
}
lock (_lock)
{
_instances.Add(InstanceTableEntity.New(item));
_recents.Add(RecentPerFuncEntity.New(_containerName, item));
}
// Time aggregate is flushed later.
// Don't flush until we've moved onto the next interval.
{
var rowKey = TimelineAggregateEntity.RowKeyTimeInterval(item.FunctionName, item.StartTime, _uniqueId);
lock (_lock)
{
TimelineAggregateEntity x;
if (!_timespan.TryGetValue(rowKey, out x))
{
// Can we flush the old counters?
x = TimelineAggregateEntity.New(_containerName, item.FunctionName, item.StartTime, _uniqueId);
_timespan[rowKey] = x;
}
Increment(item, x);
}
}
// Flush every 100 items, maximize with tables.
Task t1 = FlushIntancesAsync(false);
Task t2 = FlushTimelineAggregateAsync();
await Task.WhenAll(t1, t2);
}
public Task AddAsync(FunctionInstanceLogItem item, CancellationToken cancellationToken = default(CancellationToken))
{
if (item == null)
{
throw new ArgumentNullException("item");
}
item.Validate();
item.FunctionId = FunctionId.Build(this._hostName, item.FunctionName);
// Both Start and Completed log here. Completed will overwrite a Start entry.
lock (_lock)
{
// Permanent failures when flushing to storage can result in many log entries being buffered.
// This basically becomes a memory leak. Mitigate by enforcing a max.
if (_activeFuncs.Count >= MaxBufferedEntryCount || _completedFunctions.Count >= MaxBufferedEntryCount)
{
_onException?.Invoke(new Exception($"The limit on the number of buffered log entries was reached. A total of '{MaxBufferedEntryCount}' log entries were dropped."));
_activeFuncs.Clear();
_completedFunctions.Clear();
}
_activeFuncs[item.FunctionInstanceId] = item;
}
lock (_lock)
{
StartBackgroundFlusher();
if (_container == null)
{
_container = new ContainerActiveLogger(_machineName, _logTableProvider);
}
if (_instanceLogger == null)
{
int size = GetContainerSize();
_instanceLogger = new CloudTableInstanceCountLogger(_machineName, _logTableProvider, size);
}
}
if (item.IsCompleted())
{
_container.Decrement(item.FunctionInstanceId);
_instanceLogger.Decrement(item.FunctionInstanceId);
lock (_lock)
{
_completedFunctions.Add(item.FunctionInstanceId);
}
}
else
{
_container.Increment(item.FunctionInstanceId);
_instanceLogger.Increment(item.FunctionInstanceId);
}
lock (_lock)
{
if (_seenFunctions.Add(item.FunctionName))
{
_funcDefs.Add(FunctionDefinitionEntity.New(item.FunctionId, item.FunctionName));
}
}
if (item.IsCompleted())
{
// For completed items, aggregate total passed and failed within a time bucket.
// Time aggregate is flushed later.
// Don't flush until we've moved onto the next interval.
{
var newEntity = TimelineAggregateEntity.New(_machineName, item.FunctionId, item.StartTime, _uniqueId);
lock (_lock)
{
// If we already have an entity at this time slot (specified by rowkey), then use that so that
// we update the existing counters.
var existingEntity = _timespan.GetFromRowKey(newEntity.RowKey);
if (existingEntity == null)
{
_timespan.Add(newEntity);
existingEntity = newEntity;
}
Increment(item, existingEntity);
}
}
}
// Results will get written on a background thread
return(Task.FromResult(0));
}
