* How to analysis a huge trace-collected data efficiently
@ 2014-09-11 1:38 zhenyu.ren
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From: zhenyu.ren @ 2014-09-11 1:38 UTC (permalink / raw)
To: lttng-dev
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Hi, It's well known that tracing can produce huge data easily.So if we keep tracing on a production system for a while(hour/day/week) ,we may get a huge CTF file. It's very inefficient to analysis a huge CTF file ,especially the interested events are in some narrow time window.Is there any way to change the situation?Can we split a huge ctf file into several small ctf file? Or can lttng produce a list of small time-sequence ctf filles just like some loggers do?Thankszhenyu.ren
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* Re: How to analysis a huge trace-collected data efficiently
[not found] <e4797186-ccb1-4efc-a68e-953e8575a42a@aliyun.com>
@ 2014-09-11 11:32 ` Michel Dagenais
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From: Michel Dagenais @ 2014-09-11 11:32 UTC (permalink / raw)
To: zhenyu.ren; +Cc: lttng-dev
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Yes, if you look at the options available, you can split the trace in smaller files and even limit the total size accumulated.
----- Mail original -----
> Hi,
> It's well known that tracing can produce huge data easily.So if we
> keep tracing on a production system for a while(hour/day/week) ,we
> may get a huge CTF file. It's very inefficient to analysis a huge
> CTF file ,especially the interested events are in some narrow time
> window.Is there any way to change the situation?Can we split a huge
> ctf file into several small ctf file? Or can lttng produce a list of
> small time-sequence ctf filles just like some loggers do?
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lttng-dev mailing list
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http://lists.lttng.org/cgi-bin/mailman/listinfo/lttng-dev
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2014-09-11 1:38 How to analysis a huge trace-collected data efficiently zhenyu.ren
[not found] <e4797186-ccb1-4efc-a68e-953e8575a42a@aliyun.com>
2014-09-11 11:32 ` Michel Dagenais
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