- Improved StreamScanner for better performance
- Renamed StreamScanner to StreamDemarcator as suggested by Joe
- Added failure handling logic to ensure both processors can be reset to their initial state (as if they were just started)
- Provided comprehensive test suite to validate various aspects of both Publish and Consume from Kafka
- Added relevant javadocs
- Added initial additionalDetails docs
- Addressed NPE reported by NIFI-1764
- Life-cycle refactoring for the existing PutKafka to ensure producer restart after errors
- Incorporated code changes contributed by Ralph Perko (see NIFI-1837)
- Addressed partition issue in RoundRobinPartitioner discussed in NIFI-1827
- Updated PropertyDescriptor descriptions to reflect their purpose
NIFI-1296 added @Ignore on some Kafka tests to improve test time
NIFI-1296 reworked tests to avoid dependency on embedded Kafka
NIFI-1296 fixed spelling error
NIFI-1296 fixed trailing whitespaces in non-java files
This closes#366
- used newest API available in 0.8.* version
- added PutKafka integration tests
- Kafka module code coverage is at 85%
NIFI-1645 polishing
NIFI-1645 PR comments round 1
NIFI-1645 PR comments round 2
NIFI-1645 change to use async Kafka producer
NIFI-1645 polishing
NIFI-1645 polishing
NIFI-1645 polishing
NIFI-1645 changed from java.util.Scanner to custom StreamScanner
NIFI-1645 polishing
NIFI-1645 final polish
Due to the fact that current component uses artificial names for properties set via UI and then maps those properties to the actual names used by Kafka, we can not rely on NiFi UI to display an error if user attempts to set a dynamic property which will eventually map to the same Kafka property. So, I’ve decided that any dynamic property will simply override an existing property with WARNING message displayed. It is actually consistent with how Kafka does it and displayed the overrides in the console. Updated the relevant annotation description.
It is also worth to mentioned that current code was using an old property from Kafka 0.7 (“zk.connectiontimeout.ms”) which is no longer present in Kafka 0.8 (WARN Timer-Driven Process Thread-7 utils.VerifiableProperties:83 - Property zk.connectiontimeout.ms is not valid). The add/override strategy would provide for more flexibility when dealing with Kafka volatile configuration until things will settle down and we can get some sensible defaults in place.
While doing it addressed the following issues that were discovered while making modification and testing:
ISSUE: When GetKafka started and there are no messages in Kafka topic the onTrigger(..) method would block due to the fact that Kafka’s ConsumerIterator.hasNext() blocks. When attempt was made to stop GetKafka would stops successfully due to the interrupt. However in UI it would appear as ERROR based on the fact that InterruptException was not handled.
RESOLUTION: After discussing it with @markap14 the the general desire is to let the task exit as quick as possible and that the whole thread maintenance logic was there initially due to the fact that there was no way to tell Kafka consumer to return immediately if there are no events. In this patch we are now using ‘consumer.timeout.ms’ property of Kafka and setting its value to 1 millisecond (default is -1 - always block infinitely). This ensures that tasks that attempted to read an empty topic will exit immediately just to be rescheduled by NiFi based on user configurations.
ISSUE: Kafka would not release FlowFile with events if it didn’t have enough to complete the batch since it would block waiting for more messages (based on the blocking issue described above).
RESOLUTION: The invocation of hasNext() results in Kafka’s ConsumerTimeoutException which is handled in the catch block where the FlowFile with partial batch will be released to success. Not sure if we need to put a WARN message. In fact in my opinion we should not as it may create unnecessary confusion.
ISSUE: When configuring a consumer for topic and specifying multiple concurrent consumers in ‘topicCountMap’ based on 'context.getMaxConcurrentTasks()’ each consumer would bind to a topic partition. If you have less partitions then the value returned by 'context.getMaxConcurrentTasks()’ you would essentially allocate Kafka resources that would never get a chance to receive a single message (see more here https://cwiki.apache.org/confluence/display/KAFKA/Consumer+Group+Example).
RESOLUTION: Logic was added to determine the amount of partitions for a topic and in the event where 'context.getMaxConcurrentTasks()’ value is greater than the amount of partitions, the partition count will be used to when creating ‘topicCountMap’ and WARNING message will be displayed)see code). Unfortunately we can’t do anything with the actual tasks, but based on current state of the code they will exit immediately just to be rescheduled where the process will repeat. NOTE: That is not ideal as it will be rescheduling tasks that will never have a chance to do anything, but at least it could be fixed on the user side after reading the warning message.
NIFI-1192 added dynamic properties support for PutKafka
NIFI-1192 polishing
NIFI-1192 polished and addressed PR comments
Pierre Villard
Oleg Zhurakousky
Joe Skora
ijokarumawak
Aldrin Piri
Matt Gilman
Mark Payne
Tony Kurc
joewitt
Naveen Madhire
Randy Gelhausen