Thanks!

I find someone else encounter similar problem. 

在 2016年8月19日星期五 UTC+8上午4:54:42,Sean Beckett写道:
>
> With no write or read activity, an InfluxDB system with 11k series should 
> be fine on 500MB of RAM. 
>
> Running Grafana on the same box may be problematic. I don't know what RAM 
> needs Grafana has, but webapps that do visualization can quickly eat up RAM.
>
> On Tue, Aug 16, 2016 at 5:51 AM, <[email protected] <javascript:>> 
> wrote:
>
>> No long strings. Now, lenght of the value of tags is less than 50 chars 
>> and will never bigger than 100 chars. 
>>
>> I start a grafana on the same machine. Will this make the problem?
>>
>> Under normal Condition, how many memory influxDB will used when it has a 
>> series cardinality of 11k ?
>>
>> 在 2016年8月16日星期二 UTC+8上午1:13:12,Sean Beckett写道:
>>>
>>> A series cardinality of 11k should not be problematic for a machine with 
>>> 4GB of RAM. Do you have long strings in your tags or measurement names?
>>>
>>> On Mon, Aug 15, 2016 at 6:06 AM, <[email protected]> wrote:
>>>
>>>> Thanks very much for your reply.
>>>>
>>>> One of the tags has about one hundred different values.
>>>>
>>>> The result of the sql you mentioned is 11K. 
>>>>
>>>> 在 2016年8月9日星期二 UTC+8上午4:58:19,Mike Schroll写道:
>>>>>
>>>>> Are any of your tags highly variable data?
>>>>>
>>>>> Search docs for cardinality to learn more.
>>>>>
>>>>> Run this command to return what your cardinality is:
>>>>> SELECT sum(numSeries) AS "total_series" FROM "_internal".."database" 
>>>>> WHERE time > now() - 10s;
>>>>>
>>>>> On Tuesday, August 2, 2016 at 5:27:07 AM UTC-7, [email protected] 
>>>>> wrote:
>>>>>>
>>>>>> I am using influxdb 0.13. in Radhat 6.5 with 2 cpu and 4G memory.
>>>>>>
>>>>>>
>>>>>> There are about 70 million points in one measurement. Each point has 
>>>>>> 4tags and 5 fields.  It can excute count funtion without specify time 
>>>>>> window successfully. But when query "select * from measurement limit 
>>>>>> 10", 
>>>>>> influxdb eat up my memory and killed by systerm. And if i specify the 
>>>>>> time 
>>>>>> window, it runs fine.
>>>>>>
>>>>>> So, i wonder how the limit works. Why it eat up memory even though i 
>>>>>> limit the results to 10
>>>>>>
>>>>> -- 
>>>> Remember to include the InfluxDB version number with all issue reports
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>>>>  
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>>>> .
>>>>
>>>> For more options, visit https://groups.google.com/d/optout.
>>>>
>>>
>>>
>>>
>>> -- 
>>> Sean Beckett
>>> Director of Support and Professional Services
>>> InfluxDB
>>>
>> -- 
>> Remember to include the InfluxDB version number with all issue reports
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>> .
>>
>> For more options, visit https://groups.google.com/d/optout.
>>
>
>
>
> -- 
> Sean Beckett
> Director of Support and Professional Services
> InfluxDB
>

-- 
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