private async Task ProcessPartitionItemsAsync(int partition, IEnumerable <IKafkaEventData> events, CancellationToken cancellationToken)
{
TopicPartition topicPartition = null;
foreach (var kafkaEventData in events)
{
var triggerInput = KafkaTriggerInput.New(kafkaEventData);
var triggerData = new TriggeredFunctionData
{
TriggerValue = triggerInput,
};
await this.ExecuteFunctionAsync(triggerData, cancellationToken);
if (topicPartition == null)
{
topicPartition = new TopicPartition(kafkaEventData.Topic, partition);
}
// Commiting after each function execution plays nicer with function scaler.
// When processing a large batch of events where the execution of each event takes time
// it would take Events_In_Batch_For_Partition * Event_Processing_Time to update the current offset.
// Doing it after each event minimizes the delay
this.Commit(new[] { new TopicPartitionOffset(topicPartition, kafkaEventData.Offset + 1) }); // offset is inclusive when resuming
}
}
public IKafkaEventData[] BindMultiple(KafkaTriggerInput value, ValueBindingContext context)
{
if (value == null)
{
throw new ArgumentNullException(nameof(value));
}
return(value.Events);
}
// Single instance: Core --> EventData
public IKafkaEventData BindSingle(KafkaTriggerInput value, ValueBindingContext context)
{
if (value == null)
{
throw new ArgumentNullException(nameof(value));
}
return(value.GetSingleEventData());
}
protected override async Task ReaderAsync(ChannelReader <IKafkaEventData[]> reader, CancellationToken cancellationToken, ILogger logger)
{
var pendingTasks = new List <Task <FunctionResult> >();
while (!cancellationToken.IsCancellationRequested && await reader.WaitToReadAsync(cancellationToken))
{
while (!cancellationToken.IsCancellationRequested && reader.TryRead(out var itemsToExecute))
{
try
{
// Execute multiple topic in parallel.
// Order in a partition must be followed.
var partitionOffsets = new Dictionary <int, long>();
var itemsByPartition = itemsToExecute.GroupBy(x => x.Partition);
var i = 0;
do
{
pendingTasks.Clear();
foreach (var partition in itemsByPartition)
{
var kafkaEventData = partition.ElementAtOrDefault(i);
if (kafkaEventData != null)
{
var triggerInput = KafkaTriggerInput.New(kafkaEventData);
var triggerData = new TriggeredFunctionData
{
TriggerValue = triggerInput,
};
partitionOffsets[partition.Key] = kafkaEventData.Offset + 1; // offset is inclusive when resuming
pendingTasks.Add(this.ExecuteFunctionAsync(triggerData, cancellationToken));
}
}
i++;
await Task.WhenAll(pendingTasks);
} while (!cancellationToken.IsCancellationRequested && pendingTasks.Count > 0);
if (!cancellationToken.IsCancellationRequested)
{
this.Commit(partitionOffsets.Select((kv) => new TopicPartitionOffset(new TopicPartition(itemsToExecute[0].Topic, kv.Key), kv.Value)));
}
}
catch (Exception ex)
{
logger.LogError(ex, $"Error in executor reader");
}
}
}
logger.LogInformation("Exiting reader {processName}", nameof(SingleItemFunctionExecutor <TKey, TValue>));
}
public Dictionary <string, object> GetBindingData(KafkaTriggerInput value)
{
if (value == null)
{
throw new ArgumentNullException(nameof(value));
}
var bindingData = new Dictionary <string, object>(StringComparer.OrdinalIgnoreCase);
if (value.IsSingleDispatch)
{
AddBindingData(bindingData, value.GetSingleEventData());
}
else
{
AddBindingData(bindingData, value.Events);
}
return(bindingData);
}
protected override async Task ReaderAsync(ChannelReader <IKafkaEventData[]> reader, CancellationToken cancellationToken, ILogger logger)
{
while (!cancellationToken.IsCancellationRequested && await reader.WaitToReadAsync(cancellationToken))
{
while (!cancellationToken.IsCancellationRequested && reader.TryRead(out var itemsToExecute))
{
try
{
// Try to publish them
var triggerInput = KafkaTriggerInput.New(itemsToExecute);
var triggerData = new TriggeredFunctionData
{
TriggerValue = triggerInput,
};
var functionResult = await this.ExecuteFunctionAsync(triggerData, cancellationToken);
var offsetsToCommit = new Dictionary <int, TopicPartitionOffset>();
for (var i = itemsToExecute.Length - 1; i >= 0; i--)
{
if (!offsetsToCommit.ContainsKey(itemsToExecute[i].Partition))
{
offsetsToCommit.Add(
itemsToExecute[i].Partition,
new TopicPartitionOffset(
itemsToExecute[i].Topic,
itemsToExecute[i].Partition,
itemsToExecute[i].Offset + 1)); // offset is inclusive when resuming
}
}
if (!cancellationToken.IsCancellationRequested)
{
this.Commit(offsetsToCommit.Values);
if (functionResult.Succeeded)
{
if (logger.IsEnabled(LogLevel.Debug))
{
logger.LogDebug("Function executed with {batchSize} items in {topic} / {partitions} / {offsets}",
itemsToExecute.Length,
itemsToExecute[0].Topic,
string.Join(",", offsetsToCommit.Keys),
string.Join(",", offsetsToCommit.Values.Select(x => x.Offset)));
}
}
else
{
logger.LogError(functionResult.Exception, "Failed to executed function with {batchSize} items in {topic} / {partitions} / {offsets}",
itemsToExecute.Length,
itemsToExecute[0].Topic,
string.Join(",", offsetsToCommit.Keys),
string.Join(",", offsetsToCommit.Values.Select(x => x.Offset)));
}
}
}
catch (Exception ex)
{
logger.LogError(ex, $"Error in executor reader");
}
}
}
logger.LogInformation("Exiting reader {processName}", nameof(MultipleItemFunctionExecutor <TKey, TValue>));
}
