名称:kingbasewriter
KingBase 8.2及8.3
- jdbcUrl
- 描述:针对KingBase数据库的jdbc连接字符串
- 必选:是
- 字段类型:String
- 默认值:无
- username
- 描述:数据源的用户名
- 必选:是
- 字段类型:String
- 默认值:无
- password
- 描述:数据源指定用户名的密码
- 必选:是
- 字段类型:String
- 默认值:无
- schema
- 描述:写入数据库所在schema
- 必选:是
- 字段类型:String
- 默认值:无
- column
- 描述:目的表需要写入数据的字段,字段之间用英文逗号分隔。例如: "column": ["id","name","age"]
- 必选:是
- 默认值:否
- 字段类型:List
- 默认值:无
- preSql
- 描述:写入数据到目的表前,会先执行这里的一组标准语句
- 必选:否
- 字段类型:List
- 默认值:无
- postSql
- 描述:写入数据到目的表后,会执行这里的一组标准语句
- 必选:否
- 字段类型:List
- 默认值:无
- table
- 描述:目的表的表名称。目前只支持配置单个表,后续会支持多表
- 必选:是
- 字段类型:String
- 默认值:无
- writeMode
- 描述:仅支持insert、update操作,可以搭配insertSqlMode使用
- 必选:是
- 字段类型:String
- 默认值:无
- insertSqlMode
- 描述:控制写入数据到目标表采用 COPY table_name [ ( column_name [, ...] ) ] FROM STDIN DELIMITER 'delimiter_character'语句,提高数据的插入效率
- 注意: 目前该参数值固定传入 copy,否则抛出提示为not support insertSqlMode的RuntimeException。当指定此参数时,writeMode的值必须为 insert,否则设置无效
- 必选:否
- 字段类型:String
- 默认值:无
- batchSize
- 描述:一次性批量提交的记录数大小,该值可以极大减少FlinkX与数据库的网络交互次数,并提升整体吞吐量。但是该值设置过大可能会造成FlinkX运行进程OOM情况
- 必选:否
- 字段类型:int
- 默认值:1024
1、insert
{
"job": {
"content": [{
"reader": {
"parameter": {
"sliceRecordCount": ["100"],
"column": [
{
"name": "id",
"type": "int"
},
{
"name": "user_id",
"type": "int"
},
{
"name":"name",
"type":"string"
}
]
},
"name": "streamreader"
},
"writer": {
"name": "kingbasewriter",
"parameter": {
"connection": [{
"jdbcUrl": "jdbc:kingbase8://localhost:54321/test",
"table": [
"tableTest"
],
"schema":"test"
}],
"username": "username",
"password": "password",
"column": [
{
"name": "id",
"type": "BIGINT"
},
{
"name": "user_id",
"type": "BIGINT"
},
{
"name": "name",
"type": "varchar"
}],
"writeMode": "insert",
"batchSize": 1024,
"preSql": [],
"postSql": []
}
}
}],
"setting": {
"speed": {
"channel": 1,
"bytes": 0
},
"errorLimit": {
"record": 100
}
}
}
}
2、 insert with copy mode
{
"job": {
"content": [{
"reader": {
"parameter": {
"sliceRecordCount": ["100"],
"column": [
{
"name": "id",
"type": "int"
},
{
"name": "user_id",
"type": "int"
},
{
"name":"name",
"type":"string"
}
]
},
"name": "streamreader"
},
"writer": {
"name": "kingbasewriter",
"parameter": {
"connection": [{
"jdbcUrl": "jdbc:kingbase8://localhost:54321/ide",
"table": [
"tableTest"
],
"schema":"test"
}],
"username": "username",
"password": "password",
"column": [
{
"name": "id",
"type": "BIGINT"
},
{
"name": "user_id",
"type": "BIGINT"
},
{
"name": "name",
"type": "varchar"
}],
"writeMode": "insert",
"batchSize": 1024,
"preSql": [],
"postSql": [],
"insertSqlMode": "copy"
}
}
}],
"setting": {
"speed": {
"channel": 1,
"bytes": 0
},
"errorLimit": {
"record": 100
}
}
}
}
3、 update
{
"job": {
"content": [{
"reader": {
"parameter": {
"sliceRecordCount": ["100"],
"column": [
{
"name": "id",
"type": "int"
},
{
"name": "user_id",
"type": "int"
},
{
"name":"name",
"type":"string"
}
]
},
"name": "streamreader"
},
"writer": {
"name": "kingbasewriter",
"parameter": {
"connection": [{
"jdbcUrl": "jdbc:kingbase8://localhost:54321/ide",
"table": [
"tableTest"
],
"schema":"test"
}],
"username": "username",
"password": "password",
"column": [
{
"name": "id",
"type": "BIGINT"
},
{
"name": "user_id",
"type": "BIGINT"
},
{
"name": "name",
"type": "varchar"
}],
"writeMode": "update",
"updateKey": {"key": ["id"]},
"column": ["id","user_id","name"],
"batchSize": 1024,
"preSql": [],
"postSql": []
}
}
}],
"setting": {
"speed": {
"channel": 1,
"bytes": 0
},
"errorLimit": {
"record": 100
}
}
}
}