Thank you everyone !

Le mercredi 19 octobre 2016 21:30:54 UTC+2, Sean Beckett a écrit :
>
> Mathias, I agree that irregular timestamps do lead to more space taken on 
> disk. However, that number still falls under 3 bytes per numeric value, 
> even with irregular nanosecond timestamps. Both what Jason and I are saying 
> is true; they are not mutually exclusive. 
>
> > 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.
>
> That statement is not true, at least not in any of our testing experience. 
> It would be fair to say that 2-3 bytes per value is not always achievable, 
> as some rare edge cases can lead to larger footprint on disk, but to say 
> that it is *usually* not achievable is simply incorrect.
>
> On Wed, Oct 19, 2016 at 1:10 PM, Mathias Herberts <[email protected] 
> <javascript:>> wrote:
>
>> It seems Jason just posted the exact same findings as me, maybe check 
>> with him directly, I persist in my saying, if your timestamps are not 
>> regularly spaced then compression efficiency will decrease.
>>
>> On Wednesday, October 19, 2016 at 8:33:56 PM UTC+2, Sean Beckett wrote:
>>>
>>> Mathias, I question your findings on this. We've run extensive testing 
>>> with nanosecond timestamps and routinely get < 3 bytes per recorded numeric 
>>> value.
>>>
>>> Please note that this figure is only for fully compacted data, e.g. cold 
>>> shards. Shards currently hot for writes will be much less compact. Over 
>>> time the steady state of the system will approach ~2.5 bytes per numeric 
>>> field.
>>>
>>> On Wed, Oct 19, 2016 at 5:45 AM, Mathias Herberts <[email protected]
>>> > wrote:
>>>
>>>> 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, <[email protected]> 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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>>>>>>> .
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>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> -- 
>>>>>> Sean Beckett
>>>>>> Director of Support and Professional Services
>>>>>> InfluxDB
>>>>>>
>>>>> -- 
>>>> Remember to include the version number!
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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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>>
>
>
>
> -- 
> Sean Beckett
> Director of Support and Professional Services
> InfluxDB
>

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