DataX is an offline data synchronization tool open sourced by Alibaba Cloud, which supports data synchronization of multiple data sources and destinations, including but not limited to MySQL, Oracle, HDFS, Hive, ODPS, etc. It can define the connection information of data sources and destinations, data synchronization methods, data filtering, etc. through configuration files, so as to achieve efficient, stable, and scalable data synchronization.
For example, if you need to synchronize data from MySQL to HDFS, you can use DataX for this task. First, you need to write a configuration file in JSON format, specifying the connection information between MySQL and HDFS, the table to be synchronized, the field mapping relationship, etc. Then, start the DataX task through the command line, and DataX will automatically read data from MySQL and write the data to HDFS according to the information in the configuration file.
Configuration file in JSON format:
Ok, here is a sample DataX configuration file in JSON format:
{
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"username": "root",
"password": "123456",
"column": [
"id",
"name",
"age"
],
"connection": [
{
"table": [
"user"
],
"jdbcUrl": [
"jdbc:mysql://localhost:3306/test"
]
}
]
}
},
"writer": {
"name": "hdfswriter",
"parameter": {
"defaultFS": "hdfs://localhost:9000",
"path": "/user/hadoop/datax/user",
"fileName": "user.txt"
}
}
}
],
"setting": {
"speed": {
"channel": 3
}
}
}
}This configuration file defines a DataX task, including a MySQL data source and an HDFS destination. Among them, the connection information of the MySQL data source includes user name, password, table and field to be read, etc.; the connection information of the HDFS destination includes the default address of HDFS, the path and file name to be written, etc. At the same time, the configuration file also specifies that the number of channels for tasks is 3 to improve the concurrency and efficiency of task execution.
DataX is suitable for scenarios such as data warehouses, data marts, and data backups, and can help users complete data synchronization tasks quickly and reliably.
For example, DataX can synchronize the data in a MySQL database to the HDFS file system, and can also synchronize the data in a Hive table to the MySQL database. In the data migration scenario, DataX can help enterprises migrate data from old systems to new systems, achieving seamless data migration. In data synchronization scenarios, DataX can synchronize source data and target data in real time to ensure data consistency. In the data backup scenario, DataX can help enterprises back up and restore massive data to ensure data security.
DataX is an offline synchronization tool for heterogeneous data sources, dedicated to achieving stable and efficient data synchronization between various heterogeneous data sources including relational databases (MySQL, Oracle, etc.), HDFS, Hive, ODPS, HBase, FTP, etc.
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design concept
In order to solve the synchronization problem of heterogeneous data sources, DataX has changed the complex mesh synchronization link into a star data link, and DataX is responsible for connecting various data sources as an intermediate transmission carrier. When you need to access a new data source, you only need to connect this data source to DataX to achieve seamless data synchronization with the existing data source.
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Current status
DataX is widely used in Alibaba Group, and it undertakes the offline synchronization business of all big data, and has been running stably for 6 years. At present, 80,000 simultaneous multi-channel operations are completed every day, and the daily data transmission volume exceeds 300TB.
https://github.com/alibaba/DataX