seatunnel数据集成（一）简介与安装
seatunnel数据集成（二）数据同步
seatunnel数据集成（三）多表同步
seatunnel数据集成（四）连接器使用

---

seatunnel除了丰富的连接器类型，其转换器也能够让数据转换更加简单，包括Copy，Filter，FieldSelector，FielMapper，DATa Filter，TypeConverter，Replace，Split，FilterRowKind，SQL，SQL Functions等。

1、Copy

将字段复制到新字段。

env {
  execution.parallelism = 2
  job.mode = "BATCH"
}
source {
    Jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
        result_table_name = "base_region_01"
        query = "select * from base_region limit 4"
    }
}

transform {
  Copy {
    source_table_name = "base_region_01"
    result_table_name = "base_region_02"
    fields {
      id = id
      region_name = region_name
      region_name2 = region_name
    }
  }
}

sink {
  jdbc {
    url = "jdbc:mysql://127.0.0.1:3306/dw"
    driver = "com.mysql.cj.jdbc.Driver"
    user = "user"
    password = "password"
    source_table_name = "base_region_02"
    query = "insert into base_region(id,region_name,region_name2) values(?,?,?)"
  }
}

./bin/seatunnel.sh --config ./syn_job/mysql2mysql_copy.conf

2、Filter

筛选字段。

需要保留的字段列表。不在列表中的字段将被删除

env {
  execution.parallelism = 2
  job.mode = "BATCH"
}
source {
    Jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
        result_table_name = "t_user_01"
        query = "select * from t_user"
    }
}

transform {
  Filter {
    source_table_name = "t_user_01"
    result_table_name = "t_user_02"
    fields = [id, name]
  }
}

sink {
  jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
        source_table_name = "t_user_02"
        query = "insert into ods_t_user(id,name) values(?,?)"
  }
}

./bin/seatunnel.sh --config ./syn_job/mysql2mysql_filter.conf

3、FieldSelector

字段选择器（Field Selector）转换器示例：

transform {
  FieldSelector {
    fields = ["id", "name", "age"]
  }
}

这个示例配置将只选择源数据中的 "id"、"name" 和 "age" 字段进行后续处理。

4、FieldMapper

1. 字段映射器示例：

transform {
  FieldMapper {
    mappings {
      source_field = "source_value"
      target_field = "target_value"
    }
  }
}

这个示例配置将把源数据中的 "source_field" 字段的值映射为 "target_field" 字段的值

5、DataFilter

数据过滤器示例

transform {
  DataFilter {
    condition = "age >= 18"
  }
}

这个示例配置将只保留满足条件 "age >= 18" 的数据行。

6、TypeConverter

1. 数据类型转换器示例：

transform {
  TypeConverter {
    field_conversion {
      name {
        from = "string"
        to = "integer"
      }
      age {
        from = "string"
        to = "integer"
      }
    }
  }
}

这个示例配置将把源数据中的 "name" 和 "age" 字段的数据类型从字符串（string）转换为整数（integer）。

7、Replace

env {
  execution.parallelism = 2
  job.mode = "BATCH"
}
source {
    Jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
        result_table_name = "t_user_01"
        query = "select * from t_user"
    }
}

transform {
  Replace {
    source_table_name = "t_user_01"
    result_table_name = "t_user_02"
    replace_field = "name"
    pattern = "%"
    replacement = ""
  }
}

sink {
  jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
        source_table_name = "t_user_02"
        query = "insert into ods_t_user(id,name,birth,gender) values(?,?,?,?)"
  }
}

./bin/seatunnel.sh --config ./syn_job/mysql2mysql_replace.conf

8、Split

将一个字段拆分为多个字段。

env {
  execution.parallelism = 2
  job.mode = "BATCH"
}
source {
    Jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        connection_check_timeout_sec = 100
        user = "user"
        password = "password"
        result_table_name = "t_user_01"
        query = "select * from t_user"
    }
}

transform {
  Split {
    source_table_name = "t_user_01"
    result_table_name = "t_user_02"
    separator = "-"
    split_field = "birth"
    output_fields  = [birth_y, birth_m, birth_d]
  }
}

sink {
  jdbc {
        url = "jdbc:mysql://127.0.0.1:3306/test"
        driver = "com.mysql.cj.jdbc.Driver"
        user = "user"
        password = "password"
        source_table_name = "t_user_02"
        query = "insert into ods_t_user_y_m_d(id,name,birth,gender,birth_y,birth_m,birth_d) values(?,?,?,?,?,?,?)"
  }
}

./bin/seatunnel.sh --config ./syn_job/mysql2mysql_split.conf

9、FilterRowKind

按 RowKind 筛选数据

transform {
  FilterRowKind {
    row_kind = "DELETE"
  }
}

这个示例配置将只保留源数据中标记为 "DELETE" 的行。

env {
  job.mode = "BATCH"
}

source {
  FakeSource {
    result_table_name = "fake"
    row.num = 100
    schema = {
      fields {
        id = "int"
        name = "string"
        age = "int"
      }
    }
  }
}

transform {
  FilterRowKind {
    source_table_name = "fake"
    result_table_name = "fake1"
    exclude_kinds = ["INSERT"]
  }
}

sink {
  Console {
    source_table_name = "fake1"
  }
}

10、SQL

SQL转换使用内存SQL引擎，我们可以通过SQL函数和SQL引擎的能力来实现转换任务。

11、SQL Functions

String Functions	Numeric Functions	Time and Date Functions	System Functions
ASCII	ABS	CURRENT_DATE	CAST
BIT_LENGTH	ACOS	CURRENT_TIME	COALESCE
CHAR_LENGTH / LENGTH	ASIN	CURRENT_TIMESTAMP / NOW	IFNULL
OCTET_LENGTH	ATAN	DATEADD / TIMESTAMPADD	NULLIF
CHAR / CHR	COS	DATEDIFF
CONCAT	COSH	DATE_TRUNC
CONCAT_WS	COT	DAYNAME
HEXTORAW	SIN	DAY_OF_MONTH
RAWTOHEX	SINH	DAY_OF_WEEK
INSERT	TAN	DAY_OF_YEAR
LOWER / LCASE	TANH	EXTRACT
UPPER / UCASE	MOD	FORMATDATETIME
LEFT	CEIL / CEILING	HOUR
RIGHT	EXP	MINUTE
LOCATE / INSTR / POSITION	FLOOR	MONTH
LPAD	LN	MONTHNAME
RPAD	LOG	PARSEDATETIME / TO_DATE
LTRIM	LOG10	QUARTER
RTRIM	RADIANS	SECOND
TRIM	SQRT	WEEK
REGEXP_REPLACE	PI	YEAR
REGEXP_LIKE	POWER
REGEXP_SUBSTR	RAND / RANDOM
REPEAT	ROUND
REPLACE	SIGN
SOUNDEX	TRUNC
SPACE
SUBSTRING / SUBSTR
TO_CHAR
TRANSLATE

如：

transform {
  SqlFunction {
    function = "LOWER"
    field = "name"
  }
}

这个示例配置将源数据中的 "name" 字段转换为小写字母形式。

除此之外，还支持SQL UDF 函数