Class: LogStash::Outputs::Dis
- Inherits:
-
Base
- Object
- Base
- LogStash::Outputs::Dis
- Defined in:
- lib/logstash/outputs/dis.rb
Overview
Write events to a DIS stream, using DIS Kafka Adapter.
Instance Method Summary collapse
- #close ⇒ Object
- #multi_receive(events) ⇒ Object
-
#prepare(record) ⇒ Object
def register.
- #register ⇒ Object
- #retrying_send(batch) ⇒ Object
Instance Method Details
#close ⇒ Object
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# File 'lib/logstash/outputs/dis.rb', line 201 def close @producer.close end |
#multi_receive(events) ⇒ Object
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# File 'lib/logstash/outputs/dis.rb', line 140 def multi_receive(events) t = Thread.current if !@thread_batch_map.include?(t) @thread_batch_map[t] = java.util.ArrayList.new(events.size) end events.each do |event| break if event == LogStash::SHUTDOWN @codec.encode(event) end batch = @thread_batch_map[t] if batch.any? (batch) batch.clear end end |
#prepare(record) ⇒ Object
def register
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# File 'lib/logstash/outputs/dis.rb', line 135 def prepare(record) # This output is threadsafe, so we need to keep a batch per thread. @thread_batch_map[Thread.current].add(record) end |
#register ⇒ Object
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# File 'lib/logstash/outputs/dis.rb', line 107 def register @thread_batch_map = Concurrent::Hash.new if !@retries.nil? if @retries < 0 raise ConfigurationError, "A negative retry count (#{@retries}) is not valid. Must be a value >= 0" end @logger.warn("Kafka output is configured with finite retry. This instructs Logstash to LOSE DATA after a set number of send attempts fails. If you do not want to lose data if Kafka is down, then you must remove the retry setting.", :retries => @retries) end @producer = create_producer if value_serializer == 'com.huaweicloud.dis.adapter.kafka.common.serialization.StringSerializer' @codec.on_event do |event, data| write_to_dis(event, data) end elsif value_serializer == 'com.huaweicloud.dis.adapter.kafka.common.serialization.ByteArraySerializer' @codec.on_event do |event, data| write_to_dis(event, data.to_java_bytes) end else raise ConfigurationError, "'value_serializer' only supports com.huaweicloud.dis.adapter.kafka.common.serialization.ByteArraySerializer and com.huaweicloud.dis.adapter.kafka.common.serialization.StringSerializer" end end |
#retrying_send(batch) ⇒ Object
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# File 'lib/logstash/outputs/dis.rb', line 158 def (batch) remaining = @retries; while batch.any? if !remaining.nil? if remaining < 0 # TODO(sissel): Offer to DLQ? Then again, if it's a transient fault, # DLQing would make things worse (you dlq data that would be successful # after the fault is repaired) logger.info("Exhausted user-configured retry count when sending to Kafka. Dropping these events.", :max_retries => @retries, :drop_count => batch.count) break end remaining -= 1 end failures = [] futures = batch.collect do |record| begin # send() can throw an exception even before the future is created. @producer.send(record) rescue org.apache.kafka.common.errors.TimeoutException => e failures << record nil rescue org.apache.kafka.common.errors.InterruptException => e failures << record nil rescue com.huaweicloud.dis.adapter.kafka.common.errors.SerializationException => e # TODO(sissel): Retrying will fail because the data itself has a problem serializing. # TODO(sissel): Let's add DLQ here. failures << record nil end end.compact break end end |