6 hours? I'm currently streaming a 50k line file through Beanio with seda
queues in and doing similar processing in under a minute.
You have a queue here tht appears to have something on it that isbeing
unmarashalled and then split. How big is that object on the queue? Is it
only a single line of data? Try this.
<route id="ProcessAndStoreInQueue_Route">
<from
uri="seda:processAndStoreInQueue?concurrentConsumers=30" />
On Fri, Apr 15, 2016 at 8:25 AM, Jens Breitenstein <mailingl...@j-b-s.de>
wrote:
> Hi Michele
>
> Reading a CSV with 40k lines using camel in streaming takes a view
> seconds. As you limit the queue-size to avoid OOM the entire performance
> depends how fast you can empty the queue.
> How long does processing of ONE message take in average? To me it looks
> like approximately 1.6 secs (35000/6/60/60). The processes responsible for
> reading the queue is single-threaded??
>
> Jens
>
>
> Am 15/04/16 um 14:59 schrieb Michele:
>
> Hi,
>>
>> I spent a bit of time reading different topics on this issue, and I
>> changed
>> my route like this reducing the memory usage of about 300Mb:
>>
>> <route id="FileRetriever_Route">
>> <from
>>
>> uri="{{uri.inbound}}?scheduler=quartz2&scheduler.cron={{poll.consumer.scheduler}}&scheduler.triggerId=FileRetriever&scheduler.triggerGroup=IF_CBIKIT{{uri.inbound.options}}"
>> />
>> <setHeader
>>
>> headerName="ImportDateTime"><simple>${date:now:yyyyMMdd-HHmmss}</simple></setHeader>
>> <setHeader
>>
>> headerName="MsgCorrelationId"><simple>CBIKIT_INBOUND_${in.header.ImportDateTime}</simple></setHeader>
>> <setHeader headerName="breadcrumbId">
>>
>>
>> <simple>Import-${in.header.CamelFileName}-${in.header.ImportDateTime}-${in.header.breadcrumbId}</simple>
>> </setHeader>
>> <to uri="seda:processAndStoreInQueue" />
>> <log message="END - FileRetriever_Route" />
>> </route>
>>
>> <route id="ProcessAndStoreInQueue_Route">
>> <from uri="seda:processAndStoreInQueue" />
>> <unmarshal>
>> <bindy type="Csv"
>> classType="com.fincons.ingenico.crt2.cbikit.inbound.model.RowData"/>
>> </unmarshal>
>>
>> <split streaming="true"
>> executorServiceRef="myThreadPoolExecutor" >
>> <simple>${body}</simple>
>> <choice>
>> <when>
>> <simple></simple>
>> <setHeader
>>
>> headerName="CamelSplitIndex"><simple>${in.header.CamelSplitIndex}</simple></setHeader>
>> <process
>> ref="BodyEnricherProcessor" />
>> <to
>>
>> uri="dozer:transform?mappingFile=file:{{crt2.apps.home}}{{dozer.mapping.path}}&targetModel=com.fincons.ingenico.crt2.cbikit.inbound.model.SerialNumber"
>> />
>> <marshal ref="Gson" />
>> <to
>> uri="activemq:queue:CBIKIT" />
>> </when>
>> <otherwise>
>> <log message="Message
>> discarded ${in.header.CamelSplitIndex} -
>> ${body}" />
>> </otherwise>
>> </choice>
>> </split>
>> </route>
>>
>> The last test processed 35000 lines of CSV file in about 6h with an
>> average
>> memory usage 1400Mb successful. But, Can I improve further processing
>> performance?
>>
>> In addition, I noticed that Queue Size of Queue is low. Why? (Producer is
>> slower than Consumer?)
>>
>> Thanks in advance.
>>
>> Best Regards
>>
>> Michele
>>
>>
>>
>> --
>> View this message in context:
>> http://camel.465427.n5.nabble.com/Best-Strategy-to-process-a-large-number-of-rows-in-File-tp5779856p5781168.html
>> Sent from the Camel - Users mailing list archive at Nabble.com.
>>
>
>
