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flink-cdc-connectors/docs/content/quickstart/db2-tutorial.md

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# Demo: Db2 CDC to Elasticsearch
**1. Create `docker-compose.yml` file using following contents:**
```
version: '2.1'
services:
db2:
image: ruanhang/db2-cdc-demo:v1
privileged: true
ports:
- 50000:50000
environment:
- LICENSE=accept
- DB2INSTANCE=db2inst1
- DB2INST1_PASSWORD=admin
- DBNAME=testdb
- ARCHIVE_LOGS=true
elasticsearch:
image: elastic/elasticsearch:7.6.0
environment:
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.type=single-node
ports:
- "9200:9200"
- "9300:9300"
ulimits:
memlock:
soft: -1
hard: -1
nofile:
soft: 65536
hard: 65536
kibana:
image: elastic/kibana:7.6.0
ports:
- "5601:5601"
volumes:
- /var/run/docker.sock:/var/run/docker.sock
```
The Docker Compose environment consists of the following containers:
- Db2: db2 server and a pre-populated `products` table in the database `testdb`.
- Elasticsearch: store the result of the `products` table.
- Kibana: mainly used to visualize the data in Elasticsearch
To start all containers, run the following command in the directory that contains the docker-compose.yml file.
```shell
docker-compose up -d
```
This command automatically starts all the containers defined in the Docker Compose configuration in a detached mode.
Run docker ps to check whether these containers are running properly. You can also visit http://localhost:5601/ to see if Kibana is running normally.
Dont forget to run the following command to stop all containers after you finished the tutorial:
```shell
docker-compose down
```
**2. Download following JAR package to `<FLINK_HOME>/lib`**
*Download links are available only for stable releases, SNAPSHOT dependency need build by yourself. *
- [flink-sql-connector-elasticsearch7_2.11-1.13.2.jar](https://repo.maven.apache.org/maven2/org/apache/flink/flink-sql-connector-elasticsearch7_2.11/1.13.2/flink-sql-connector-elasticsearch7_2.11-1.13.2.jar)
- [flink-sql-connector-db2-cdc-2.3-SNAPSHOT.jar](https://repo1.maven.org/maven2/com/ververica/flink-sql-connector-db2-cdc/2.3-SNAPSHOT/flink-sql-connector-db2-cdc-2.3-SNAPSHOT.jar)
**3. Launch a Flink cluster and start a Flink SQL CLI**
Execute following SQL statements in the Flink SQL CLI:
```sql
-- Flink SQL
-- checkpoint every 3000 milliseconds
Flink SQL> SET execution.checkpointing.interval = 3s;
Flink SQL> CREATE TABLE products (
ID INT NOT NULL,
NAME STRING,
DESCRIPTION STRING,
WEIGHT DECIMAL(10,3),
PRIMARY KEY (ID) NOT ENFORCED
) WITH (
'connector' = 'db2-cdc',
'hostname' = 'localhost',
'port' = '50000',
'username' = 'db2inst1',
'password' = 'admin',
'database-name' = 'testdb',
'schema-name' = 'DB2INST1',
'table-name' = 'PRODUCTS'
);
Flink SQL> CREATE TABLE es_products (
ID INT NOT NULL,
NAME STRING,
DESCRIPTION STRING,
WEIGHT DECIMAL(10,3),
PRIMARY KEY (ID) NOT ENFORCED
) WITH (
'connector' = 'elasticsearch-7',
'hosts' = 'http://localhost:9200',
'index' = 'enriched_products_1'
);
Flink SQL> INSERT INTO es_products SELECT * FROM products;
```
**4. Check result in Elasticsearch**
Check the data has been written to Elasticsearch successfully, you can visit [Kibana](http://localhost:5601/) to see the data.
**5. Make changes in Db2 and watch result in Elasticsearch**
Enter Db2's container to make some changes in Db2, then you can see the result in Elasticsearch will change after
executing every SQL statement:
```shell
docker exec -it ${containerId} /bin/bash
su db2inst1
db2 connect to testdb
# enter db2 and execute sqls
db2
```
```sql
UPDATE DB2INST1.PRODUCTS SET DESCRIPTION='18oz carpenter hammer' WHERE ID=106;
INSERT INTO DB2INST1.PRODUCTS VALUES (default,'jacket','water resistent white wind breaker',0.2);
INSERT INTO DB2INST1.PRODUCTS VALUES (default,'scooter','Big 2-wheel scooter ',5.18);
DELETE FROM DB2INST1.PRODUCTS WHERE ID=111;
```