Jdbc

JDBC sink connector

Description

Write data through jdbc

提示

Engine Supported and plugin name

• Spark: Jdbc
• Flink: Jdbc

Options

Spark

name	type	required	default value
driver	string	yes	-
url	string	yes	-
user	string	yes	-
password	string	yes	-
dbTable	string	yes	-
saveMode	string	no	update
useSsl	string	no	false
customUpdateStmt	string	no	-
duplicateIncs	string	no	-
showSql	string	no	true

url [string]

The URL of the JDBC connection. Refer to a case: jdbc:mysql://localhost/dbName

user [string]

username

password [string]

user password

dbTable [string]

Sink table name, if the table does not exist, it will be created.

saveMode [string]

Storage mode, add mode update , perform data overwrite in a specified way when inserting data key conflicts

Basic mode, currently supports overwrite , append , ignore and error . For the specific meaning of each mode, see save-modes

useSsl [string]

Configure when saveMode is specified as update , whether to enable ssl, the default value is false

isolationLevel [string]

The transaction isolation level, which applies to current connection. The default value is READ_UNCOMMITTED

customUpdateStmt [string]

Configure when saveMode is specified as update , which is used to specify the update statement template for key conflicts. If customUpdateStmt is empty, the sql will auto-generate for all columns, else use the sql which refer to the usage of INSERT INTO table (...) values (...) ON DUPLICATE KEY UPDATE... of mysql , use placeholders or fixed values in values tips: the tableName of sql should be consistent with the dbTable.

duplicateIncs [string]

Configure when saveMode is specified as update , and when the specified key conflicts, the value is updated to the existing value plus the original value

showSql

Configure when saveMode is specified as update , whether to show sql

Flink

name	type	required	default value
driver	string	yes	-
url	string	yes	-
username	string	yes	-
password	string	no	-
query	string	yes	-
batch_size	int	no	-
source_table_name	string	yes	-
common-options	string	no	-
parallelism	int	no	-
pre_sql	string	no	-
post_sql	string	no	-
ignore_post_sql_exceptions	boolean	no	-

driver [string]

Driver name, such as com.mysql.cj.jdbc.Driver for MySQL.

Warn: for license compliance, you have to provide MySQL JDBC driver yourself, e.g. copy mysql-connector-java-xxx.jar to $FLINK_HOME/lib for Standalone.

url [string]

The URL of the JDBC connection. Such as: jdbc:mysql://localhost:3306/test

username [string]

username

password [string]

password

query [string]

Insert statement

batch_size [int]

Number of writes per batch

parallelism [int]

The parallelism of an individual operator, for JdbcSink.

pre_sql [string]

This sql can be executed before output.

post_sql [string]

This sql can be executed after output, and just supports for batch job.

ignore_post_sql_exceptions [boolean]

Whether to ignore post_sql exceptions.

common options [string]

Sink plugin common parameters, please refer to Sink Plugin for details

Examples

Spark

jdbc {
    driver = "com.mysql.cj.jdbc.Driver",
    saveMode = "update",
    url = "jdbc:mysql://ip:3306/database",
    user = "userName",
    password = "***********",
    dbTable = "tableName",
    customUpdateStmt = "INSERT INTO table (column1, column2, created, modified, yn) values(?, ?, now(), now(), 1) ON DUPLICATE KEY UPDATE column1 = IFNULL(VALUES (column1), column1), column2 = IFNULL(VALUES (column2), column2)"
}

Insert data through JDBC

jdbc {
    driver = "com.mysql.cj.jdbc.Driver",
    saveMode = "update",
    truncate = "true",
    url = "jdbc:mysql://ip:3306/database",
    user = "userName",
    password = "***********",
    dbTable = "tableName",
    customUpdateStmt = "INSERT INTO tableName (column1, column2, created, modified, yn) values(?, ?, now(), now(), 1) ON DUPLICATE KEY UPDATE column1 = IFNULL(VALUES (column1), column1), column2 = IFNULL(VALUES (column2), column2)"
    jdbc.connect_timeout = 10000
    jdbc.socket_timeout = 10000
}

Timeout config

Flink

JdbcSink {
    source_table_name = fake
    driver = com.mysql.cj.jdbc.Driver
    url = "jdbc:mysql://localhost/test"
    username = root
    query = "insert into test(name,age) values(?,?)"
    batch_size = 2
}