RDS Sink Stream

Function

DLI outputs the Flink job output data to RDS. Currently, PostgreSQL and MySQL databases are supported. The PostgreSQL database can store data of more complex types and delivers space information services, multi-version concurrent control (MVCC), and high concurrency. It applies to location applications, financial insurance, and e-commerce. The MySQL database reduces IT deployment and maintenance costs in various scenarios, such as web applications, e-commerce, enterprise applications, and mobile applications.

RDS is a cloud-based web service. RDS includes databases of the following types: MySQL, PostgreSQL, and Microsoft SQL Server.

Prerequisites

Ensure that you have created a PostgreSQL or MySQL RDS instance in RDS.
In this scenario, jobs must run on the dedicated queue of DLI. Therefore, DLI must interconnect with the enhanced datasource connection that has been connected with RDS instance. You can also set the security group rules as required.

Syntax

    
         CREATE SINK STREAM stream_id (attr_name attr_type (',' attr_name attr_type)* )
  WITH (
    type = "rds",
    username = "",
    password = "",
    db_url = "",
    table_name = ""
  );

Keyword

**Table 1** Keyword description
Parameter	Mandatory	Description
type	Yes	Output channel type. rds indicates that data is exported to RDS.
username	Yes	Username for connecting to a database.
password	Yes	Password for connecting to a database.
db_url	Yes	Database connection address, for example, {database_type}://ip:port/database. Currently, two types of database connections are supported: MySQL and PostgreSQL. MySQL: 'mysql://ip:port/database' PostgreSQL: 'postgresql://ip:port/database'
table_name	Yes	Name of the table where data will be inserted.
db_columns	No	Mapping between attributes in the output stream and those in the database table. This parameter must be configured based on the sequence of attributes in the output stream. Example: create sink stream a3(student_name string, student_age int) with ( type = "rds", username = "root", password = "xxxxxxxx", db_url = "mysql://192.168.0.102:8635/test1", db_columns = "name,age", table_name = "t1" ); In the example, student_name corresponds to the name attribute in the database, and student_age corresponds to the age attribute in the database. NOTE: If db_columns is not configured, it is normal that the number of attributes in the output stream is less than that of attributes in the database table and the extra attributes in the database table are all nullable or have default values.
primary_key	No	To update data in the table in real time by using the primary key, add the primary_key configuration item (c_timeminute in the following example) when creating a table. During the data writing operation, data is updated if the specified primary_key exists. Otherwise, data is inserted. Example: CREATE SINK STREAM test(c_timeminute LONG, c_cnt LONG) WITH ( type = "rds", username = "root", password = "xxxxxxxx", db_url = "mysql://192.168.0.12:8635/test", table_name = "test", primary_key = "c_timeminute");
operation_field	No	Processing method of specified data in the format of ${field_name}. The value of field_name must be a string. If field_name indicates D or DELETE, this record is deleted from the database and data is inserted by default.

Precautions

The stream format defined by stream_id must be the same as the table format.

Example

Data of stream audi_cheaper_than_30w is exported to the audi_cheaper_than_30w table in the test database.

    
         CREATE SINK STREAM audi_cheaper_than_30w (
  car_id STRING,
  car_owner STRING,
  car_brand STRING,
  car_price INT
)
  WITH (
    type = "rds",
    username = "root",
    password = "xxxxxx",
    db_url = "mysql://192.168.1.1:8635/test",
    table_name = "audi_cheaper_than_30w"
);