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etcd based
PostgreSQL HA cluster
TL;DR: 

github.com/compose/template-etcd-based-postgres-ha
Introduction
Chris Winslett
@winsletts
compose.io
reading the top 5 comments on Imgur since 2012
How we started using PostgreSQL
MongoDB was a primary datastore
launched project to understand financial
metrics
required data exploration, which is brutal in
MongoDB
Our database product
our platform runs databases
these databases scale
automatically as a customer
increases data size
Our database product
could we run PostgreSQL on our
platform?
Database operational requirements
• replicated
• highly-available
• no human interaction for failover
• minimize core-engine
modifications
• customers use entire
deployment
Tools investigated
repmgr with pgpool II
required human interaction for failover
does not use PostgreSQL streaming
pgpool was flakey on failover
Tools investigated
PostgreSQL streaming replication
no automatic failover
Tools investigated
bi-directional replication
i.e. master-master
only runs on one database per cluster
requires a patch on core engine
is automated failover too
ambitious with PostgreSQL?
Learned from tools investigation
PostgreSQL should not be the canonical
store of its own state, investigated:
serf - not consensus based
consul - runs with consensus
etcd - run with conensus
Consul
we built the prototype on Consul
using:
locking
sessions
health checks
code at: https://github.com/MongoHQ/consul_ha
Consul
Code at: https://github.com/MongoHQ/
consul_ha
Tight coupling between:
Consul interaction
and
HA decision loop
Consul Diagram 1
Final Consul Diagram
Consul Results
amazing
automatically growing and shrinking Consul
clusters
health checks to prevent unhealthy
secondaries from acquiring locks
Consul
until, we ran into massive swap
allocation.
40 GB swap allocation.
fine for prototypes, not for production.
Results from Consul
HA PostgreSQL is possible
but, we need a tool which uses our
resources more wisely.
Switch to etcd
because of what we’d learned in
Consul, the switch to etcd took a
day to have a working sample
Modern etcd diagram
Start
Connect to
etcd?
Is data
directory
empty?
yes
Win race to set
initialization
key?
yes
Initialize
database
Take over
lead TTL
key
Start
PostgreSQL
as a
leaderless
Secondary
no
yes
Leader
owns key?
pg_basebackup
from leader
Do I own
leader
key?
Acquire
leader lock?
yes
Update
leader
TTL lock
yes
Promote
to leader
Is leader
key
owned?
no
Am I
following
the correct
leader?
yes
Am I the
healthiest
member?
no
Am I the
leader?
no
Wait 30
seconds
yes
yes
no
yes
Start
Postgres
wait 5
seconds
no
wait 5
seconds
no
follow
proper
leader
no
yes
Running Loop
Start
Postgres
Start-up Process
etcd features used
concensus
recursivettl
prevValue
prevExist
https://coreos.com/docs/distributed-configuration/
etcd-api/
etcd: recursive
used to find all members known
to a cluster
etcd: ttl
used with our keep alive from a
PostgreSQL runner
etcd: prevValue
used in conjunction with TTL to
ensure the leader remains the
leader when updating the TTL
etcd: prevExist
used to create a deployment
initialization race
Improved with etcd
removed tight coupling in classes:
HA decision process
etcd state interaction
PostgreSQL handler
Issues with etcd
overly aggressive about consensus
instructions for optimization at
https://coreos.com/docs/cluster-
management/debugging/etcd-
tuning/
Issues with etcd
overly aggressive about
consensus
we quit running etcd along side
PostgreSQL because we wanted
expanding PostgreSQL clusters
Time for live demo?

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