ChunJun (formerly known as FlinkX) is a stable, user-friendly, and efficient data integration framework that supports batch and stream processing. Currently, it uses the Flink real-time computing engine to synchronize data and perform computations among various heterogeneous data sources. OceanBase Binlog Service (OceanBase Binlog Service, shortly Binlog Service) collects transaction logs from OceanBase Database and converts them into MySQL Binlog. It is mainly used in real-time data subscription scenarios.
The chunjun-connector-oceanbasecdc connector is integrated with oblogclient to connect to the Binlog Service, to obtain relevant log data, and to migrate incremental data from OceanBase Database.
This topic will guide you through the process of migrating data from a MySQL database in OceanBase Database to a MySQL database using ChunJun in Local mode.
Scenario
Migrate data from a table named test_tbl1 in OceanBase Database to a table named tbl1 in a MySQL database. The databases are configured as follows:
OceanBase Database information (source database) |
Example value |
|---|---|
| Cluster name | test4000 |
| Host address | 10.10.10.2 |
| Port number | 2881 |
| IP address of the Binlog service | 10.10.10.3 |
| Port number of the Binlog service | 2983 |
| Name of the business tenant (MySQL mode) | mysql001 |
| Username | root |
| Password | ****** |
| Schema database name | test_data |
| Table name | test_tbl1 |
MySQL database information (target database) |
Example value |
|---|---|
| Host address | 10.10.10.1 |
| Port number | 3306 |
| Username | root |
| Password | ****** |
| Schema database name | test_ob_to_mysql |
| Table name | tbl1 |
Prerequisites
- JDK 1.8 is installed, and the
JAVA_HOMEenvironment variable is configured. - The Binlog service is installed and deployed. For more information, see Create a Binlog cluster.
Procedure
Step 1: Prepare the ChunJun environment
Download and decompress the ChunJun package.
Download chunjun-dist.tar.gz.
wget https://github.com/DTStack/chunjun/releases/download/v1.12.6/chunjun-dist.tar.gzDecompress the package to the
/chunjun_Home/chunjundirectory.mkdir /ChunJun_Home/chunjun && tar zxvf chunjun-dist.tar.gz -C /ChunJun_Home/chunjunConfigure the ChunJun environment variables.
export ChunJun_HOME=/ChunJun_Home/chunjun-dist
Step 2: Configure the json file
Configure the json file to migrate data from the test_tbl1 table in OceanBase Database to the tbl1 table in a MySQL database.
Here is an example:
[root@xxx /]
$cd /ChunJun_Home/chunjun-dist/chunjun-examples/json
[root@xxx /ChunJun_Home/chunjun-dist/chunjun-examples/json]
$mkdir test_data
[root@xxx /ChunJun_Home/chunjun-dist/chunjun-examples/json]
$cd mkdir test_data
[root@xxx /ChunJun_Home/chunjun-dist/chunjun-examples/json/test_data]
$vi test_ob_to_mysql.json
{
"job": {
"setting": {
"errorLimit": {
"record": 0,
"percentage": 0.02},
"speed": {"bytes": 0,
"channel": 1}
},
"content": [
{
"reader": {
"name": "oceanbasecdcreader",
"table": {
"tableName": "test_tbl1"},
"parameter": {
"logProxyHost": "10.10.10.3",
"logProxyPort": 2983,
"obReaderConfig": {
"rsList": "10.10.10.2:2882:2881",
"username": "root",
"password": "******"
},
"cat": "insert,delete,update",
"column": [
"*"
]
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": [
"*"
],
"connection": [
{
"jdbcUrl": "jdbc:mysql://10.10.10.1:3306/test_ob_to_mysql",
"table": [
"tbl1"
]
}
],
"username": "root",
"password": "******"
}
}
}
]
}
}
Step 3: Run the json configuration file
Start a JVM process to run the ChunJun task.
Go to the /ChunJun_Home/chunjun-dist directory and run the following command:
[root@xxx /]
$cd /ChunJun_Home/chunjun-dist
[admin@xxx /ChunJun_Home/chunjun-dist]
$sh bin/chunjun-local.sh -job chunjun-examples/json/test_data/test_ob_to_mysql.json
# #
# #
#
##### ###### # # # #### #### # # # ####
# # # # # ## # # # # ## #
# # # # # # # # # # # #
# # # # ## # # # # ## # #
##### # # #### # # # # #### # # #
#
####
Reference site: https://dtstack.github.io/chunjun
chunjun is starting ...
CHUNJUN_HOME is auto set /ChunJun_Home/chunjun-dist/
FLINK_HOME is empty!
HADOOP_HOME is empty!
...
<ellipsis>
...
*********************************************
numWrite | 3
last_write_num_0 | 0
conversionErrors | 0
writeDuration | 20149
duplicateErrors | 0
numRead | 3
snapshotWrite | 0
otherErrors | 0
readDuration | 95
byteRead | 389
last_write_location_0 | 0
byteWrite | 389
nullErrors | 0
nErrors | 0
*********************************************
2023-01-06 20:34:47,448 - 50317 INFO [main] com.dtstack.chunjun.Main:program Flink_Job execution success
Step 4: Incrementally modify data in OceanBase Database
Log in to OceanBase Database (MySQL mode) and insert a row into the test_tbl1 table.
[admin@xxx /home/admin]
$obclient -h10.10.10.2 -P2881 -uroot@mysql001 -p****** -Dtest_data
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Welcome to the OceanBase. Commands end with ; or \g.
Your OceanBase connection id is 3221709678
Server version: OceanBase 4.0.0.0 (r101000022022120716-0d7927892ad6d830e28437af099f018b0ad9a322) (Built Dec 7 2022 16:22:15)
Copyright (c) 2000, 2018, OceanBase and/or its affiliates. All rights reserved.
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
obclient [test_data]> INSERT INTO test_tbl1 VALUES(4,'Macao',853);
Query OK, 1 row affected
Step 5: Check the data migration results
Log in to the MySQL database to view the migration results.
[admin@xxx /home/admin]
$mysql -h10.10.10.1 -P3306 -uroot -p******
Welcome to the MariaDB monitor. Commands end with ; or \g.
Your MySQL connection id is 189769
Server version: 5.7.26-log MySQL Community Server (GPL)
<ellipsis>
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
MySQL [(none)]> use test_ob_to_mysql;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
MySQL [test_ob_to_mysql]> SELECT * FROM tbl1;
+------+-----------+------+
| col1 | col2 | col3 |
+------+-----------+------+
| 1 | China | 86 |
| 2 | Taiwan | 886 |
| 3 | Hong Kong | 852 |
| 4 | Macao | 853 |
+------+-----------+------+
4 rows in set