Various experiments with PostgreSQL clustering perfomed at PostgresPro.

This is mirror of postgres repo with several changes to the core and few extra extensions.

• Transaction manager interface (eXtensible Transaction Manager, xtm). Generic interface to plug distributed transaction engines. More info at [[https://wiki.postgresql.org/wiki/DTM]] and [[http://www.postgresql.org/message-id/flat/F2766B97-555D-424F-B29F-E0CA0F6D1D74@postgrespro.ru]].
• Distributed deadlock detection API.
• Fast 2pc patch. More info at [[http://www.postgresql.org/message-id/flat/74355FCF-AADC-4E51-850B-47AF59E0B215@postgrespro.ru]]

• pg_dtm. Transaction management by interaction with standalone coordinator (Arbiter or dtmd). [[https://wiki.postgresql.org/wiki/DTM#DTM_approach]]
• pg_tsdtm. Coordinator-less transaction management by tracking commit timestamps.
• multimaster. Synchronous multi-master replication based on logical_decoding and pg_dtm.

• postgres_fdw. Added support of pg_dtm.

For deploy and test postgres over a cluster we use ansible. In each extension directory one can find test subdirectory where we are storing tests and deploy scripts.

To use it one need ansible hosts file with following groups:

farms/cluster.example:

[clients] # benchmark will start simultaneously on that nodes
server0.example.com
[nodes] # all that nodes will run postgres, dtmd/master will be deployed to first
server1.example.com
server2.example.com
server3.example.com

After you have proper hosts file you can deploy all stuff to servers:

# cd pg_dtm/tests
# ansible-playbook -i farms/sai deploy_layouts/cluster.yml

To perform dtmbench run:

# ansible-playbook -i farms/sai perf.yml -e nnodes=3 -e nconns=100

here nnodes is number of nudes that will be used for that test, nconns is the number of connections to the backend.

In the case of amazon cloud there is no need in specific hosts file. Instead of it we use script farms/ec2.py to get current instances running on you account. To use that script you need to specify you account key and access_key in ~/.boto.cfg (or in any other place that described at http://boto.cloudhackers.com/en/latest/boto_config_tut.html)

To create VMs in cloud run:

# ansible-playbook -i farms/ec2.py deploy_layouts/ec2.yml

After that you should wait few minutes to have info about that instances in Amazon API. After that you can deploy postgres as usual:

# ansible-playbook -i farms/ec2.py deploy_layouts/cluster-ec2.yml

And to run a benchmark:

# ansible-playbook -i farms/sai perf-ec2.yml -e nnodes=3 -e nconns=100