Replicate some or all of Postgres commits using logical replication to AWS Kinesis.
pg_kinesis is a command line tool. To install, run:
go install github.com/nickelser/pg_kinesisThis will give you the pg_kinesis command, assuming your Go paths are setup correctly.
Usage:
pg_kinesis --source=postgres://user:pass@src.example.com/sourcedb --stream=example_stream --tables=public.users,public.events
Options:
-h --help Show this message.
--slot Logical replication slot on the source DB. (default: pg_kinesis)
--source Source Postgres database URI/DSN. You can also use the libpq-standard PGDATABASE/PGHOST/&c. environment variables (which are tried first; --source overrides the environment).
--stream Name of the AWS Kinesis stream to stream to. (required)
--create Create the specified replication slot before starting replication.
--drop Drop the specified replication slot. Exits upon success.
-t --table Table to transfer. Multiple tables can be selected by writing multiple -t switches. Defaults to all tables. The matching semantics are the same as psql (https://www.postgresql.org/docs/current/static/app-psql.html#app-psql-patterns)
-T --exclude-table Table to exclude. Defaults to excluding no tables. The matching logic is the same as for -t; -T has higher precedence than -t.
--retry-initial If this flag is present, retry the initial connection to the replication slot; useful for high-availability setups where the same pg_kinesis command is run from multiple hosts.Sample psql input and Kinesis stream output:
CREATE TABLE customers (id serial primary key, first_name text, last_name text);
INSERT INTO customers (first_name, last_name) VALUES ('Hello', 'World');
INSERT INTO customers (first_name, last_name) VALUES ('Goodbye', 'World');
UPDATE customers SET last_name = 'Friends' where first_name = 'Hello';
DELETE FROM customers WHERE first_name = 'Goodbye';
# set the REPLICA IDENTITY to FULL to get the old as well as updated values for updaes
ALTER TABLE customers REPLICA IDENTITY FULL;
UPDATE customers SET last_name = 'Replica Friends' where first_name = 'Hello';
# Emits the following JSON to the specified Kinesis stream
# "lsn" is the WAL location of the operation
# "time" is the pg_kinesis host time when the replication message was received (the actual commit time is not available for most PG versions, but it should be very close); you can treat this as approximate (the LSN should be used to compare different records)
# "table" is the <schema>.<table> of the operation
# "operation" is the SQL operation that was performed
# "columns" is a mapping of the column name to a "new" value and optionally an "old" value (the current and the previous value, for an update or delete)
# each column value under "cur" or "old" has three fields:
# "q" is if the value was quoted from postgres or not (false for simple values, like integers or booleans, null or (no-tuple-data))
# "t" is the postgres type of the value
# "v" is the string value
{"lsn":"1C/BB48DBF0","time":"2020-01-01T19:06:47-07:00","table":"public.customers","operation":"INSERT","columns":{"first_name":{"new":{"q":"true","t":"text","v":"Hello"}},"time":"2020-01-01T19:06:47-07:00","id":{"new":{"q":"false","t":"integer","v":"1"}},"last_name":{"new":{"q":"true","t":"text","v":"World"}}}}
{"lsn":"1C/BB48DCF8","time":"2020-01-01T19:06:47-07:00","table":"public.customers","operation":"INSERT","columns":{"first_name":{"new":{"q":"true","t":"text","v":"Goodbye"}},"id":{"new":{"q":"false","t":"integer","v":"2"}},"last_name":{"new":{"q":"true","t":"text","v":"World"}}}}
{"lsn":"1C/BB48DDB8","time":"2020-01-01T19:06:47-07:00","table":"public.customers","operation":"UPDATE","columns":{"first_name":{"new":{"q":"true","t":"text","v":"Hello"}},"time":"2020-01-01T19:06:47-07:00","id":{"new":{"q":"false","t":"integer","v":"1"}},"last_name":{"new":{"q":"true","t":"text","v":"Friends"}}}}
{"lsn":"1C/BB48DE78","time":"2020-01-01T19:06:47-07:00","table":"public.customers","operation":"DELETE","columns":{"id":{"old":{"q":"false","t":"integer","v":"2"}}}}
# With REPLICA IDENTITY FULL
# (notice the added "old" field)
{"lsn":"1C/BB48E068","time":"2020-01-01T19:06:47-07:00","table":"public.customers","operation":"UPDATE","columns":{"first_name":{"new":{"q":"true","t":"text","v":"Hello"}},"id":{"new":{"q":"false","t":"integer","v":"1"}},"last_name":{"new":{"q":"true","t":"text","v":"Replica Friends"},"old":{"q":"true","t":"text","v":"Friends"}}}}Note that logical replication only replicates changes to the actual table data, not changes to the table structure (DDL queries).
If you wish to transmit DDL changes as well, you can use the following snippet to record the DDL changes in a table, which you can point to a separate DDL stream (using the -t pg_kinesis_ddl_audit option of pg_kinesis) and then simply execute the contents of the ddl_query field. Execute the following on the source database (ensuring you are in the correct schema/db):
CREATE TABLE pg_kinesis_ddl_audit
(
id bigserial PRIMARY KEY,
created_at timestamp DEFAULT current_timestamp,
db_user varchar(64) DEFAULT current_user,
tag varchar(64),
ddl_query text
);
CREATE OR REPLACE FUNCTION pg_kinesis_record_ddl()
RETURNS event_trigger
LANGUAGE plpgsql
SECURITY DEFINER
AS $$
DECLARE ddl_query_txt text;
BEGIN
SELECT current_query() INTO ddl_query_txt;
INSERT INTO pg_kinesis_ddl_audit
(tag, ddl_query)
VALUES
(tg_tag, ddl_query_txt);
END;
$$;
CREATE EVENT TRIGGER pg_kinesis_record_ddl_trigger ON ddl_command_end
EXECUTE PROCEDURE pg_kinesis_record_ddl();After that, DDL changes will be reflected as JSON as well:
alter table foo add column fuzzy text;
# would emit the following to the specified Kinesis stream:
{"time":"2020-01-01T19:06:47-07:00","lsn":"1C/C9C16D48","table":"public.pg_kinesis_ddl_audit","operation":"INSERT","columns":{"created_at":{"new":{"q":"true","t":"timestamp without time zone","v":"2017-10-15 19:07:06.563259"}},"db_user":{"new":{"q":"true","t":"character varying","v":"nickelser"}},"ddl_query":{"new":{"q":"true","t":"text","v":"ALTER TABLE FOO ADD COLUMN BAZ TEXT;"}},"id":{"new":{"q":"false","t":"bigint","v":"1"}},"tag":{"new":{"q":"true","t":"character varying","v":"ALTER TABLE"}}}}If you are applying the changes on some target DB, you would need to parse columns.ddl_query.new.v or just execute it wholesale (if you are applying changes to a fellow Postgres node).
To remove the trigger, function, and table:
DROP EVENT TRIGGER pg_kinesis_record_ddl_trigger;
DROP FUNCTION pg_kinesis_record_ddl;
DROP TABLE pg_kinesis_ddl_audit;Note that you cannot access table rewrite DML statements (e.g., ALTER TABLE FOO ADD COLUMN BAZ TEXT DEFAULT 'BAZ';) as the rewrite is done into a temporary table (like public.pg_temp_210974) that has no mapping to the altered table.
You must ignore inserts/updates to these tables by ignoring tables that look like pg_temp_<numbers>. See this discussion for more details.
Everyone is encouraged to help improve this project. Here are a few ways you can help: