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Database Replication in
ManageIQ
Introduction
Nick Carboni
Software Engineer at Red Hat
Appliance and database for ManageIQ (Platform Team)
Replication in ManageIQ
Multiple databases can be used for far away environments
Database replication allows for easy reporting and visibility
Database 1 Database 2
Global Database
Replication!
rubyrep
http://www.rubyrep.org
https://github.com/rubyrep/rubyrep
Last commit in 2011
rubyrep
Ruby + ActiveRecord
Triggers = Developer headaches
SQL
Configuration is … hardelsif commands.include? command
status = commands[command][:command].run(args.slice(1, 1_000_000))
rubyrep in ManageIQ
We use our own fork
https://github.com/ManageIQ/rubyrep
Mainly support for new versions of ActiveRecord
rubyrep in ManageIQ
PR to add support for Rails 4.2
March 27, 2015
“Yup. It's basically dead. Our changes are also SOOO crazy
different, that this is like a Frankenstein project now. I wonder
if we should just write something different from scratch given
our experience...or perhaps we should rethink replication
altogether and come up with a plan.”
-
@Fryguy
rubyrep in ManageIQ
Worker process
Database Synchronization role
Worker will run on the server with the role
Passive global database
pglogical
http://2ndquadrant.com/en-us/resources/pglogical/
https://github.com/2ndQuadrant/pglogical/
Inclusion into PostgreSQL core in progress
9.7+??
pglogical
PostgreSQL extension
Process runs on database server
Managed by PostgreSQL service
SQL stored procedure API
postgresql.conf configuration
pglogical
PostgreSQL logical decoding
https://www.postgresql.org/docs/9.4/static/logicaldecoding.html
Output plugin
pglogical_output
Consumer extension
pglogical
Replication slots
https://www.postgresql.org/docs/9.4/static/warm-
pglogical in ManageIQ
AR connection adapter extension
Exposes a ruby method per pglogical stored procedure
Configure “subscriptions” to remote regions through global
region UI
Exclude table configuration unchanged
“Advanced Settings” tab in remote region UI
Global Region Configuration
Performance testing
How long does it take to replicate a “backlog” of data?
Vary amount of data and artificial network latency
Measure time until “backlog” is zero
rubyrep - number of rows in rr_pending_changes table
pglogical - transaction log location compared to flush location
SELECT pg_xlog_location_diff(pg_current_xlog_location(), flush_location) AS lag_bytes
FROM pg_stat_replication;
Insert Performance
Rows pglogical rubyrep
1,000 0.158 (σ = 0.006) 0.189 (σ = 0.011)
10,000 1.499 (σ = 0.095) 1.84 (σ = 0.093)
100,000 16.105 (σ = 0.296) 18.042 (σ = 0.320)
1,000,000 147.508 (σ = 3.557) 195.399 (σ = 18.317)
Sample size = 10
No Latency
25ms Latency (50ms ping time)
100ms Latency (200ms ping time)
Q&A

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Replication - Nick Carboni - ManageIQ Design Summit 2016

Editor's Notes

  1. Replication as a feature, not for failover - that’s Brett’s talk next Better local performance (using the product normally) by keeping the database close to the provider / other infrastructure it is managing No one wants multiple reports because of performance concerns Replicate the data to the “global” database and report there
  2. The ruby rep website is even older - 2009
  3. Typically just doing more than it probably needs to. Used active record so it could support more than just postgresql Renamed tables cause issues with triggers We don’t have a standard interface to adding / removing them when we change things Not everyone that is making a database change is also thinking about replication Talk about even streams table - Table was renamed Had to remember that replication was a thing, Had to rename all the existing rows in the pending changes and the state table Forgot about the triggers The old trigger stayed around and we got a change entry for both table names every time something happened SQL as opposed to … Was trying to track down how the configuration worked Our config file was a two line ruby script that was passed as an argument to a rubyrep gem method (run) That config file called out to a class which set config options from within the gem
  4. Found the PR to our fork for adding support for Rails 4.2 while looking back in the repo Found a comment We also added support for rails 5
  5. Don’t want worker running on a server that has a bad connection to both databases. Extra worker takes up memory on the appliance We have to monitor when replication is running (heartbeat) Additional process outside of our worker actually runs the replication Upside - passive global Replication is just another database connection writing data
  6. 9.7 estimate from a contributor on the project I spoke with Still not looking likely, but the extension is fine
  7. Starts and stops with the database once it is configured No worrying about roles Will always run on the database server Stored procs are a lot nicer to deal with than a separate process or changing that config
  8. Logical decoding is a way to capture more detailed data from the WAL logs Needs an output plugin to present the data Replication slots track when changes have been consumed and retain WAL logs accordingly Before replication slots users had to come up with a WAL archiving strategy to make sure the logs were still there when they needed to be replicated.
  9. The user now configures the credentials in one place (global)
  10. Latency achieved with `tc` command to inject a delay before network traffic is queued
  11. (standard deviation) Triggers have some overhead on insert
  12. rows pglogical rubyrep Pgl-stddev Rr-stddev 1000 0.2s 8.769s 0 0.0959687449 10000 0.76s 18.524s 0.0843274043 0.5560015987 100000 5.88s 114.736s (2min) 0.267498702 3.5969128739 1000000 69.087s 1281.661s (21min) 11.417237504 239.7990555745
  13. Rows pglogical rubyrep Pgl-stddev Rr-stddev 1000 0.62s 70.294s 0.0632455532 6.4325823396 10000 1.67s 592.32s (~10 min) 0.6535373831 76.2543952832 100000 6.841s 5530.42s (1hr 30 min) 0.5028463428 360.8224483039 1000000 62.69s 8.1968882985
  14. Rows pglogical rubyrep Pgl-stddev Rr-stddev 1,000 2.05s 233.655s (3min 52s) 0.2065591118 4.6881179593 10,000 3.011s 2058.525s (34min) 0.2521221045 4.2779960262 100,000 11.739s 20506.11s (5h 40min) 7.7121526754 1,000,000 118.233s (2min) 6.5350627813