A trigger-based Postgres replicator that performs real-time data changes based on DML triggers, and DDL migrations by either DDL event triggers or by diffing schema changes when event triggers are not available. In other words, a complete replicator that works without any special permissions on the database, just like the ones you don't have in AWS RDS.
Yes, you read it right
How it works
When DDL event triggers are not available, using a configurable time interval, Teleport diffs the current schema and replicate new tables, columns, indexes and so on from the source to the target. Inserted, updated or deleted rows are detected by triggers on the source, which generate events that teleport transform into batches for the appropriate targets.
If teleport fails to apply a batch of new/updated rows due to a schema change that is not reflected on target yet, it will queue the batch, apply the schema change and then apply the failed batches again. This ensures consistency on the data even after running migrations and changing the source schema.
Currently only source databases with Postgres versions >= 9.2.16 are supported. DDL event triggers are only available for Postgres versions >= 9.3. For AWS RDS, event triggers are only [available after Postgres versions >= 9.4.9][aws_event_triggers] Teleport requires that all replicated tables have a primary key.
All the features above are replicatable by teleport:
- INSERT/UPDATE/DELETE rows
- Composite types
go get -u github.com/pagarme/teleport
Each running instance of teleport is responsible for managing a host, exposing a HTTP API to receive batches from other instances. For a master-slave replication you should run one teleport instance for the source host (master) and other for the target host (slave), and set the API of the target as the destination for the data fetched from the source.
Configuring the source instance
For the source, create a config file named
batch_size: 10000 max_events_per_batch: 10000 use_event_triggers: true # Available for Postgres >= 9.3 processing_intervals: batcher: 100 transmitter: 100 applier: 100 vacuum: 500 ddlwatcher: 5000 database: name: "finops-db" database: "postgres" hostname: "postgres.mydomain.com" username: "teleport" password: "root" port: 5432 server: hostname: "0.0.0.0" port: 3000 targets: my-target: target_expression: "public.*" endpoint: hostname: "target.mydomain.com" port: 3001 apply_schema: "test"
target under the
targets section, it's possible to define a
target_expression, which defines what tables will be replicated. The
expression should be schema-qualified.
You should also set a
apply_schema, which defines in what schema the data
will be applied in the target, and a
endpoint of the target teleport
Configuring the target instance
For the target, create a config file named
batch_size: 10000 max_events_per_batch: 10000 processing_intervals: batcher: 100 transmitter: 100 applier: 100 vacuum: 500 ddlwatcher: 5000 database: name: "my-target" database: "postgres" hostname: "postgres-replica.mydomain.com" username: "teleport" password: "root" port: 5432 server: hostname: "target.mydomain.com" port: 3001
You may have noted this config file does not include a
simply because this instance will not be the source for any host. You can,
however, use a instance as both source and target by simply including a
It's possible to generate initial-load batches on the source that will be transmitted to the target. To do a initial-load, run on source:
$ teleport -config source_config.yml -mode initial-load -load-target my-target
This will create batches on the source that will be transmitted to
as soon as teleport starts running.
You may start instances before the end of the initial load. This will replicate data as it's extracted from the source to the target, and further modifications will be replicated and applied later on.
On source, teleport will diff, group and batch events and transmit batches to the target. On the target, batches will be applied on the same order as they ocurred on the source.
On source, run:
$ teleport -config source_config.yml
On target, run:
$ teleport -config target_config.yml
Teleport is now up and running! \o/
Teleport has native sentry. To enable it, just use the following config with the sentry DSN:
We've been using teleport to replicate a roughly large production database (150GB) with ~50 DML updates per second and performance is pretty satisfying. Under our normal load, each teleport instance uses ~150MB of memory and not significant CPU usage nor spikes.
As teleport relies on (very light) triggers for data replication, the source database performance may be slightly affected, but impacts were negligible for our use cases.
Initial load uses Postgres'
COPY FROM to load data, which makes it very
fast. The initial load of our entire 150GB database took under ~14 hours using
db.m4.xlarge RDS instance for source and target.
$ docker-compose run test
The MIT license.
- Since version 0.4.0, the ids of Teleport's internal tables were changed to
bigint. The cose is backwards compatible, and works with the previous version, which used
int. If you are having problems with integer overflow, it will be necessary to either drop the current tables or manually alter them. See the changelog for details.