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]> 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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>>
>>
>>
>> --
>> Sean Beckett
>> Director of Support and Professional Services
>> InfluxDB
>>
> --
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-- 
Sean Beckett
Director of Support and Professional Services
InfluxDB

-- 
Remember to include the InfluxDB version number with all issue reports
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