Q: Which is the best architecture for life-copies for testing and development?
Current setup:
We have two amazon/EC2 mongod servers like this:
Machine A:
A production database (on an amazon/EC2 server) (name it ‘PROD’)
Other databases (‘OTHER’)
Machine B:
a pre-production database (name it ‘PRE’)
a copy for developer 1 own tests (call it ‘DEVEL-1’)
a copy for developer 2 (DEVEL-2)
…DEVEL-n
The PRE database is for integration-tests before deploying into production.
The DEVEL-n is for each developer trashing its own data without annoying the other developers.
From time to time we want to “restore” fresh data from PROD into the PRE and DEVEL-n bases.
Currently we pass from PROD to PRE via the .copyDatabase() command. Then we issue .copyDatabase() “n” times to make copies from PRE into DEVEL-n.
The trouble:
A copy takes soooo long (1hour per copy, DBsize over 10GB) and also normally it saturates the mongod so we have to restart the service.
We have found about:
- Dump/restore system (saturates as .copyDatabase() does)
- Replica sets
- Master/Slave (seem deprecated)
Replica-sets seem the winners, but we have serious doubts:
Suppose we want a replica-set to sync live A/PROD into B/PRE (and have A likely as a primary and B likely as secondary):
a) Can I select “a few” databases from A to replicate PROD but leave OTHER alone?
b) Can I have “extra” databases in B (like DEVEL-n) which are not in the master?
c) Can I “stop to replicate” so we can deploy to PRE, test the soft with fresh-data, trash the data with the testing and after tests have been complete “re-link” the replica so changes in PRE are deleted and changes in PROD are transported into PRE adequately?
d) Is there any other better way than replica-sets suitable for this case?
Thanks. Marina and Xavi.