DataX

Introduced: v1.1.70

DataX is an open-source data integration tool developed by Alibaba. It is designed to efficiently and reliably transfer data between various data storage systems and platforms, such as relational databases, big data platforms, and cloud storage services. DataX supports a wide range of data sources and data sinks, including but not limited to MySQL, Oracle, SQL Server, PostgreSQL, HDFS, Hive, HBase, MongoDB, and more.

tip

Apache DolphinScheduler now has added support for Databend as a data source. This enhancement enables you to leverage DolphinScheduler for managing DataX tasks and effortlessly load data from MySQL to Databend.

For information about the system requirements, download, and deployment steps for DataX, refer to DataX's Quick Start Guide. The guide provides detailed instructions and guidelines for setting up and using DataX.

See also: Addax

DatabendWriter

DatabendWriter is an integrated plugin of DataX, which means it comes pre-installed and does not require any manual installation. It acts as a seamless connector that enables the effortless transfer of data from other databases to Databend. With DatabendWriter, you can leverage the capabilities of DataX to efficiently load data from various databases into Databend.

If you need more information about DatabendWriter and its functionalities, you can refer to the documentation available at https://github.com/alibaba/DataX/blob/master/databendwriter/doc/databendwriter.md

Tutorial: Data Loading from MySQL

In this tutorial, you will load data from MySQL to Databend with DataX. Before you start, make sure you have successfully set up Databend, MySQL, and DataX in your environment.

1. In MySQL, create a SQL user that you will use for data loading and then create a table and populate it with sample data.

In MySQL:

mysql> create user 'mysqlu1'@'%' identified by 'databend';
mysql> grant all on *.* to 'mysqlu1'@'%';
mysql> create database db;
mysql> create table db.tb01(id int, d double, t TIMESTAMP,  col1 varchar(10));
mysql> insert into db.tb01 values(1, 3.1,now(), 'test1'), (1, 4.1,now(), 'test2'), (1, 4.1,now(), 'test2');

2. In Databend, create a corresponding target table.

note

DataX data types can be converted to Databend's data types when loaded into Databend. For the specific correspondences between DataX data types and Databend's data types, refer to the documentation provided at the following link: https://github.com/alibaba/DataX/blob/master/databendwriter/doc/databendwriter.md#33-type-convert

In Databend:

databend> create database migrated_db;
databend> create table migrated_db.tb01(id int null, d double null, t TIMESTAMP null,  col1 varchar(10) null);

3. Copy and paste the following code to a file, and name the file as mysql_demo.json:

note

For the available parameters and their descriptions, refer to the documentation provided at the following link: https://github.com/alibaba/DataX/blob/master/databendwriter/doc/databendwriter.md#32-configuration-description

mysql_demo.json

{
  "job": {
    "content": [
      {
        "reader": {
          "name": "mysqlreader",
          "parameter": {
            "username": "mysqlu1",
            "password": "databend",
            "column": [
              "id", "d", "t", "col1"
            ],
            "connection": [
              {
                "jdbcUrl": [
                  "jdbc:mysql://127.0.0.1:3307/db"
                ],
                "driver": "com.mysql.jdbc.Driver",
                "table": [
                  "tb01"
                ]
              }
            ]
          }
        },
        "writer": {
          "name": "databendwriter",
          "parameter": {
            "username": "databend",
            "password": "databend",
            "column": [
              "id", "d", "t", "col1"
            ],
            "preSql": [
            ],
            "postSql": [
            ],
            "connection": [
              {
                "jdbcUrl": "jdbc:databend://localhost:8000/migrated_db",
                "table": [
                  "tb01"
                ]
              }
            ]
          }
        }
      }
    ],
    "setting": {
      "speed": {
        "channel": 1
       }
    }
  }
}

4. Run DataX:

cd {YOUR_DATAX_DIR_BIN}
python datax.py ./mysql_demo.json 

You're all set! To verify the data loading, execute the query in Databend:

databend> select * from migrated_db.tb01;
+------+------+----------------------------+-------+
| id   | d    | t                          | col1  |
+------+------+----------------------------+-------+
|    1 |  3.1 | 2023-02-01 07:11:08.500000 | test1 |
|    1 |  4.1 | 2023-02-01 07:11:08.501000 | test2 |
|    1 |  4.1 | 2023-02-01 07:11:08.501000 | test2 |
+------+------+----------------------------+-------+