Hi Werner,

i was doing this, like you said:

> use graylog2
switched to db graylog2
> db.index_failures.dataSize()
> db.dead_letters.dataSize()
> db.notifications.dataSize() 

The output was always nothing!

I didn't miss any log messages, so this is NOT the problem. 

I would understand better, how can I plan the disk space for a bigger 
environment like the actual on, so I have to know how is the balanace 
between the Elasticsearch space and the MongoDB space on disk.

Thank you!
Klaus.

Am Donnerstag, 5. November 2015 21:20:16 UTC+1 schrieb Werner van der Merwe:
>
> Interesting - that ratio seems a little out of balance. 15M for ES for 13 
>> servers sounds quite light.
>>
> You can maybe get some more info on what is using space in Mongo doing the 
>> following:
>>
>
> On the server hosting mongodb:
> mongo                                      (This will enter the mongo 
> shell  from where you can navigate the db)
> use graylog2
> db.index_failures.dataSize()         (This will give you the size of the 
> failures collection)
> db.dead_letters.dataSize()         (This will give you the size of the 
> dead_letters collection)
> db.notifications.dataSize()         (This will give you the size of 
> the notifications collection)
>
> If none of those are taking up the space, do the same for system_messages.
>
> Might be helpful to see what is using the bulk of the mongo space?
>

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