Getting Kafka Connect and Schema registry setup
Let's post it
$ docker-compose exec connect curl -s -XPOST -H "Content-Type: application/json; charset=UTF-8" http://localhost:8083/connectors/ -d '
{
"name": "my-mysql-connector",
"config": {
"connector.class":"io.confluent.connect.jdbc.JdbcSourceConnector",
"tasks.max":"10",
"connection.url":"jdbc:mysql://mysql:3306/db?user=user&password=password&useSSL=false",
"table.whitelist":"application",
"mode":"timestamp+incrementing",
"timestamp.column.name":"last_modified",
"incrementing.column.name":"id",
"topic.prefix":"mysql-",
"key.ignore": true,
"key.converter.schema.registry.url": "http://schema-registry:8082",
"value.converter": "io.confluent.connect.avro.AvroConverter",
"value.converter.schema.registry.url": "http://schema-registry:8082",
"schema.ignore": true
}
}
' | jq .
Let's see its status
$ docker-compose exec connect curl -s localhost:8083/connectors/my-mysql-connector/status | jq .
{
"name": "my-mysql-connector",
"connector": {
"state": "RUNNING",
"worker_id": "connect:8083"
},
"tasks": [
{
"state": "RUNNING",
"id": 0,
"worker_id": "connect:8083"
}
],
"type": "source"
}
We have our data
$ docker-compose exec kafka-1 kafka-topics --zookeeper zookeeper:2181 --list
__consumer_offsets
connect-config
connect-offsets
connect-status
mysql-application
and
$ docker-compose exec kafka-1 kafka-topics --zookeeper zookeeper:2181 --topic mysql-application --describe
Topic:mysql-application PartitionCount:1 ReplicationFactor:3 Configs:
Topic: mysql-application Partition: 0 Leader: 1 Replicas: 1,2,3 Isr: 1,2,3
Let's see the data
$ docker-compose exec schema-registry kafka-avro-console-consumer -bootstrap-server kafka-1:9092,kafka-2:9092,kafka-3:9092 --topic mysql-application --from-beginning --property schema.registry.url=http://localhost:8082
[2018-02-13 19:09:49,930] INFO ConsumerConfig values:
auto.commit.interval.ms = 5000
auto.offset.reset = earliest
bootstrap.servers = [kafka-1:9092, kafka-2:9092, kafka-3:9092]
...
{"id":1,"name":"kafka","team_email":"[email protected]","last_modified":1518544661000}
...
So much better with a Schema Registry!
Let's add another element in the application
$ docker-compose exec mysql mysql --user=root --password=password --database=db -e "
INSERT INTO application ( \
id, \
name, \
team_email, \
last_modified \
) VALUES ( \
2, \
'another', \
'[email protected]', \
NOW() \
); "
$ docker-compose exec mysql bash -c "mysql --user=root --password=password --database=db -e 'select * from application'"
mysql: [Warning] Using a password on the command line interface can be insecure.
+----+---------+--------------------+---------------------+
| id | name | team_email | last_modified |
+----+---------+--------------------+---------------------+
| 1 | kafka | [email protected] | 2018-02-25 11:25:23 |
| 2 | another | [email protected] | 2018-02-25 11:31:10 |
+----+---------+--------------------+---------------------+
Let's verify that we have them in our topic
$ docker-compose exec schema-registry kafka-avro-console-consumer -bootstrap-server kafka-1:9092,kafka-2:9092,kafka-3:9092 --topic mysql-application --from-beginning --property schema.registry.url=http://localhost:8082 --property print.key=true
[2018-02-13 19:09:49,930] INFO ConsumerConfig values:
auto.commit.interval.ms = 5000
auto.offset.reset = earliest
bootstrap.servers = [kafka-1:9092, kafka-2:9092, kafka-3:9092]
...
{"id":1,"name":"kafka","team_email":"[email protected]","last_modified":1519557923000}
{"id":2,"name":"another","team_email":"[email protected]","last_modified":1519558270000}
What about update ?
$ docker-compose exec mysql mysql --user=root --password=password --database=db -e "UPDATE application set name='another2', last_modified = NOW() where id = '2'"
$ docker-compose exec mysql bash -c "mysql --user=root --password=password --database=db -e 'select * from application'"
mysql: [Warning] Using a password on the command line interface can be insecure.
+----+---------+--------------------+---------------------+
| id | name | team_email | last_modified |
+----+----------+--------------------+---------------------+
| 1 | kafka | [email protected] | 2018-02-25 11:25:23 |
| 2 | another2 | [email protected] | 2018-02-25 11:36:10 |
+----+----------+--------------------+---------------------+
Let's verify that we the update reflected in the topic
$ docker-compose exec schema-registry kafka-avro-console-consumer -bootstrap-server kafka-1:9092,kafka-2:9092,kafka-3:9092 --topic mysql-application --from-beginning --property schema.registry.url=http://localhost:8082
[2018-02-13 19:09:49,930] INFO ConsumerConfig values:
auto.commit.interval.ms = 5000
auto.offset.reset = earliest
bootstrap.servers = [kafka-1:9092, kafka-2:9092, kafka-3:9092]
...
{"id":1,"name":"kafka","team_email":"[email protected]","last_modified":1519557923000}
{"id":2,"name":"another","team_email":"[email protected]","last_modified":1519558270000}
{"id":2,"name":"another2","team_email":"[email protected]","last_modified":1519568679000}
What about deletion ?
$ docker-compose exec mysql mysql --user=root --password=password --database=db -e "DELETE FROM application where id = '2'"
$ docker-compose exec schema-registry kafka-avro-console-consumer -bootstrap-server kafka-1:9092,kafka-2:9092,kafka-3:9092 --topic mysql-application --from-beginning --property schema.registry.url=http://localhost:8082
[2018-02-13 19:09:49,930] INFO ConsumerConfig values:
auto.commit.interval.ms = 5000
auto.offset.reset = earliest
bootstrap.servers = [kafka-1:9092, kafka-2:9092, kafka-3:9092]
...
{"id":1,"name":"kafka","team_email":"[email protected]","last_modified":1519557923000}
{"id":2,"name":"another","team_email":"[email protected]","last_modified":1519558270000}
{"id":2,"name":"another2","team_email":"[email protected]","last_modified":1519568679000}
Nope, no new event ! With this method, either you load all data using batch or you need to use soft-delete to support deletion.
See https://docs.confluent.io/current/connect/connect-jdbc/docs/source_config_options.html#mode
Enter Change data capture.
