In fact, it's not really possible to predict this size if I well understand?

In my case, I have an interval of 15s, a precision in seconds and the 
values are only floats.

Le mercredi 19 octobre 2016 13:45:33 UTC+2, Mathias Herberts a écrit :
>
> Efficiency of compression depends on different factors, including interval 
> between timestamps, resolution of said timestamps, volatility and type of 
> values.
>
> The 2 or 3 bytes footprint is usually not achievable if you store your 
> timestamps with milli, micro or nanosecond precision as the delta between 
> consecutive timestamps will vary and will therefore not compress as well.
>
>
> On Wednesday, October 19, 2016 at 1:04:44 PM UTC+2, Guillaume Berthomé 
> wrote:
>>
>> Thank you for your answer.
>>
>> So let's admit that I have 2 metrics collected every 15 seconds during 24h
>>
>> - cpu with 20 values 
>> - mem with 10 values
>>
>> The total size of stored data will be 3 bytes * 8 metrics per minutes * 
>> 1440 minutes ?
>>
>>
>>
>> Le mardi 18 octobre 2016 18:57:53 UTC+2, Sean Beckett a écrit :
>>>
>>> After final compactions, InfluxDB uses between 2 and 3 bytes per field 
>>> value stored. If your metrics are all numbers, then the total steady-state 
>>> size will be a bit more than 3 bytes * (metrics per minute) * minutes of 
>>> data stored.
>>>
>>> See http://docs.influxdata.com/influxdb/v1.0/concepts/storage_engine/ 
>>> and 
>>> http://docs.influxdata.com/influxdb/v1.0/guides/hardware_sizing/#how-much-storage-do-i-need
>>>  for 
>>> details. 
>>>
>>> On Tue, Oct 18, 2016 at 2:51 AM, <guillau...@gmail.com> wrote:
>>>
>>>> Hi everybody,
>>>>
>>>> Is there any way to calculate the database's size from the number 
>>>> measurements done per minute ? I mean predict the databse behavior (wal 
>>>> files, tsm files ...)
>>>>
>>>> Thank you.
>>>>
>>>> --
>>>> Remember to include the version number!
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>>>
>>>
>>>
>>> -- 
>>> Sean Beckett
>>> Director of Support and Professional Services
>>> InfluxDB
>>>
>>

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