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Posted to issues@flume.apache.org by "huaicui (Jira)" <ji...@apache.org> on 2020/03/04 11:16:00 UTC

[jira] [Updated] (FLUME-3358) The kafka channel does not work properly when the interceptor filters into an empty event queue

     [ https://issues.apache.org/jira/browse/FLUME-3358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

huaicui updated FLUME-3358:
---------------------------
    Attachment: exception.jpg

> 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
>            Priority: Blocker
>         Attachments: exception.jpg
>
>
> 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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