PostgreSQL change data capture and delivery to Apache Kafka®
You can track data changes in a Managed Service for PostgreSQL source cluster and send them to a Managed Service for Apache Kafka® target cluster using Change Data Capture (CDC).
To set up CDC using Data Transfer:
- Prepare the source cluster.
- Prepare the target cluster.
- Prepare and activate the transfer.
- Test the transfer.
If you no longer need the resources you created, delete them.
Getting started
-
Create a Managed Service for PostgreSQL source cluster in any suitable configuration with the following settings:
- Database:
db1
- Username:
pg-user
- Hosts: Publicly available
- Database:
-
Create a Managed Service for Apache Kafka® target cluster in any suitable configuration with publicly available hosts.
-
If you are using security groups, configure them to enable connecting to the clusters from the internet:
-
Install the
kcat
(kafkacat
) utility and PostgreSQL command-line client on the local machine. For example, in Ubuntu 20.04, run:sudo apt update && sudo apt install kafkacat postgresql-client --yes
Prepare the source cluster
-
For Data Transfer to get notifications of data changes from a Managed Service for PostgreSQL cluster, create a publication in a source cluster. The
pg-user
user can create a publication after you assign them themdb_replication
role. -
Connect to the
db1
database on behalf ofpg-user
. -
Add test data to the database. In this example, a simple table with information from car sensors is used.
Create a table:
CREATE TABLE public.measurements ( "device_id" text PRIMARY KEY NOT NULL, "datetime" timestamp NOT NULL, "latitude" real NOT NULL, "longitude" real NOT NULL, "altitude" real NOT NULL, "speed" real NOT NULL, "battery_voltage" real, "cabin_temperature" real NOT NULL, "fuel_level" real );
Populate the table with data:
INSERT INTO public.measurements VALUES ('iv9a94th6rzt********', '2020-06-05 17:27:00', 55.70329032, 37.65472196, 427.5, 0, 23.5, 17, NULL), ('rhibbh3y08qm********', '2020-06-06 09:49:54', 55.71294467, 37.66542005, 429.13, 55.5, NULL, 18, 32), ('iv9a94th678t********', '2020-06-07 15:00:10', 55.70985913, 37.62141918, 417.0, 15.7, 10.3, 17, NULL);
Prepare the target cluster
The settings vary depending on the topic management method used. The same conventions are used for topic names as in Debezium<topic_prefix>.<schema_name>.<table_name>
. In this tutorial, the cdc
prefix is used as an example.
If topics are managed using standard Yandex Cloud interfaces (management console, YC CLI, Terraform, API):
-
Create a topic named
cdc.public.measurements
.If you need to track data changes in multiple tables, create a separate topic for each one of them.
-
Create a user named
kafka-user
andACCESS_ROLE_CONSUMER
andACCESS_ROLE_PRODUCER
roles for the created topics.
If topics are managed using the Kafka Admin API:
-
Create an administrator-user named
kafka-user
. -
In addition to
ACCESS_ROLE_ADMIN
, assign the administrator user theACCESS_ROLE_CONSUMER
andACCESS_ROLE_PRODUCER
roles for the topics which names begin with thecdc
prefix.Required topics will be created automatically at the first change event in the tracked tables of a source cluster. This solution can be useful to track changes in multiple tables but requires extra free space in cluster storage. For more information, see Storage in Managed Service for Apache Kafka®.
Prepare and activate the transfer
-
-
Source endpoint:
- Database type:
PostgreSQL
. - Endpoint parameters:
- Connection settings:
Managed Service for PostgreSQL cluster
. - Managed Service for PostgreSQL cluster: Select the created Managed Service for PostgreSQL cluster.
- Database:
db1
. - User:
pg-user
. - Password: Enter the password for
pg-user
. - Included tables:
public.measurements
.
- Connection settings:
- Database type:
-
Target endpoint:
-
Database type:
Kafka
. -
Endpoint parameters:
-
Connection type:
Managed Service for Apache Kafka cluster
.- Managed Service for Apache Kafka cluster: Select the target cluster.
- Authentication: Enter the details of the created
kafka-user
user.
-
Topic:
Topic full name
. -
Topic full name:
cdc.public.measurements
.
If you need to track changes in multiple tables, fill out the fields as follows:
- Topic:
Topic prefix
. - Topic prefix: Enter the
cdc
prefix you used to generate topic names.
-
-
-
-
Create a transfer with the following settings:
- Endpoints:
- Source: Created source endpoint.
- Target: Created target endpoint.
- Transfer type: Replication.
- Endpoints:
-
Activate the transfer and wait for its status to change to Replicating.
Test the transfer
-
In a separate terminal, run the
kafkacat
utility in consumer mode:kafkacat \ -C \ -b <FQDN_of_broker_host_1>:9091,...,<FQDN_of_broker_host_N>:9091 \ -t cdc.public.measurements \ -X security.protocol=SASL_SSL \ -X sasl.mechanisms=SCRAM-SHA-512 \ -X sasl.username=kafka-user \ -X sasl.password=<password> \ -X ssl.ca.location=/usr/local/share/ca-certificates/Yandex/YandexInternalRootCA.crt \ -Z \ -K:
You can obtain the FQDNs of broker hosts with a list of hosts in the Managed Service for Apache Kafka® cluster.
The data format schema of the
public.measurements
table and the information about the previously added rows will be printed.Example of the message fragment
{ "payload": { "consumer":"dttuhfpp97l3********" }, "schema": { "fields": [ { "field": "consumer", "optional":false, "type":"string" } ], "name": "__data_transfer_stub.public.__consumer_keeper.Key", "optional":false, "type":"struct" } }:{ "payload": { "after": { "consumer":"dttuhfpp97l3********l", "locked_by":"dttuhfpp97l3********-1", "locked_till":"2022-05-15T09:55:18Z" }, "before": null, "op":"u", "source": { "connector":"postgresql", "db":"db1", "lsn":85865797008, "name":"__data_transfer_stub", "schema":"public", "snapshot":"false", "table":"__consumer_keeper", "ts_ms":1652608518883, "txId":245165, "version":"1.1.2.Final", "xmin":null }, ...
-
Connect to the source cluster and add data to the
measurements
table:INSERT INTO public.measurements VALUES ('iv7b74th678t********', '2020-06-08 17:45:00', 53.70987913, 36.62549834, 378.0, 20.5, 5.3, 20, NULL);
-
Make sure the terminal running
kafkacat
displays details about the added row.
Delete the resources you created
Some resources are not free of charge. To avoid paying for them, delete the resources you no longer need:
-
Deactivate and delete the transfer.
-
Delete the clusters:
-
If static public IP addresses were used for accessing the cluster hosts, release and delete them.