ogi

utility to enable flexible ETL scenarios, supports golang plug-in for built-in consumer|transformer|producer options

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Design

way it works

• has a consumer, runs Subscribe on it… then calls its EventHandler

  consumer’s EventHandler could choose desired flow for every event received

• events could pass details and desired producer for it to Transformer, transformer follows it’s own computation and pass on updated state to producer

  if no transformation is required for this consumer, the Producer could be triggered directly as well

• producer just does that, produce message to required target

here all 3, consumer, transformer and producer are instantiated as per config and thus any combination of available types could be brought into play all 3 support usage of plugin, so separately managed and developed constructs could be used in combination

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sub-packages

consumer

this package provides a Consume(consumer) method to be able to munch on any kafka-topic,

currently confluent-kafka implementation for consumer is available and can be configured and passed

topic subscriber currently handles

• for each messages recieved, invoke ogi's tansformer with producer and value from message
• assign partition
• unassign partition
• exit on error event

producer

this package provides a Produce(producer, topic, message) method to be able to churn out required message to any topic on provided producer,

currently confluent-kafka implementation for producer is available which can be configured and passed

confluent-kafka producer let’s figure out a partition for message using CRC32 over total partition count, if can’t uses PartitionAny conf

then message and topic gets produced to the calculated partition using ProduceMessage

transformer

this package provides Transform(producer, message) method which calls delegates transform to configured LogTransformer for that process,

currently KubernetesKafkaLog is available implementation of LogTransformer

KubernetesKafkaLog which checks for Kubernetes.Labels for configured label to be picked as destination kafka topic

it applies Kubernetes.PodName as message-key to be used and then produces message to passed through producer

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