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From "huaicui (Jira)" <j...@apache.org>
Subject [jira] [Created] (FLUME-3358) The kafka channel does not work properly when the interceptor filters into an empty event queue
Date Wed, 04 Mar 2020 11:14:00 GMT
huaicui created FLUME-3358:
------------------------------

             Summary: The kafka channel does not work properly when the interceptor filters
into an empty event queue 
                 Key: FLUME-3358
                 URL: https://issues.apache.org/jira/browse/FLUME-3358
             Project: Flume
          Issue Type: Bug
          Components: Kafka Channel
    Affects Versions: 1.9.0
            Reporter: huaicui


I have a requirement to stream and filter kafka topics according to the business. Because
the filter will cause list<Event> to be empty, the whole pipeline will not work properly

logic like this:

String key = JsonPath.read(message, "$.key");
switch (key) {
case "test1":
return process(key, event);
case "test2":
return process(key, event);
case "test3":
return process(key, event);
default:
return null;
}

When all data of a queue will be filtered,  this pipeline(kafka->hdfs) will stay in an
abnormal state.

 

This is my configuration:

# device flume
Test.sources = r1
Test.sinks = k1
Test.channels = c1

Test.sources.r1.type = org.apache.flume.source.kafka.KafkaSource
Test.sources.r1.kafka.bootstrap.servers = xxxx
Test.sources.r1.topic = xxx
Test.sources.r1.groupId = test_lab_1
Test.sources.r1.kafka.consumer.timeout.ms = 100
Test.sources.r1.interceptors = i1
Test.sources.r1.interceptors.i1.type = com.cisco.wap.DeviceUsageDeserializerInterceptor$Builder.
--- This is my custom interceptor

# Describe the sink
Test.sinks.k1.type = hdfs
Test.sinks.k1.hdfs.path = /user/naming/%\{DeviceDir}
Test.sinks.k1.hdfs.filePrefix = device-
Test.sinks.k1.hdfs.fileSuffix = .csv
Test.sinks.k1.hdfs.inUseSuffix = .tmp
Test.sinks.k1.hdfs.idleTimeout = 120
Test.sinks.k1.hdfs.writeFormat = Text
Test.sinks.k1.hdfs.batchSize = 100
Test.sinks.k1.hdfs.threadsPoolSize = 10
Test.sinks.k1.hdfs.rollSize = 0
Test.sinks.k1.hdfs.rollCount = 0

# Use a channel which buffers events in memory
Test.channels.c1.type = memory
Test.channels.c1.capacity = 10000
Test.channels.c1.transactionCapacity = 1000

# Bind the source and sink to the channel
Test.sources.r1.channels = c1
Test.sinks.k1.channel = c1

this is exception:

!image-2020-03-04-19-13-16-068.png!



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