Doris

Doris sink connector

Support Doris Version​

• exactly-once & cdc supported Doris version is >= 1.1.x

• Array data type supported Doris version is >= 1.2.x

• Map data type will be support in Doris version is 2.x

Key Features​

• exactly-once

• cdc

• support multiple table write

Description​

Used to send data to Doris. Both support streaming and batch mode. The internal implementation of Doris sink connector is cached and imported by stream load in batches.

Sink Options​

Name	Type	Required	Default	Description
fenodes	String	Yes	-	Doris cluster fenodes address, the format is "fe_ip:fe_http_port, ..."
query-port	int	No	9030	Doris Fenodes query_port
username	String	Yes	-	Doris user username
password	String	Yes	-	Doris user password
database	String	Yes	-	The database name of Doris table, use ${database_name} to represent the upstream table name
table	String	Yes	-	The table name of Doris table, use ${table_name} to represent the upstream table name
table.identifier	String	Yes	-	The name of Doris table, it will deprecate after version 2.3.5, please use database and table instead.
sink.label-prefix	String	Yes	-	The label prefix used by stream load imports. In the 2pc scenario, global uniqueness is required to ensure the EOS semantics of Nexus.
sink.enable-2pc	bool	No	false	Whether to enable two-phase commit (2pc), the default is false. For two-phase commit, please refer to here.
sink.enable-delete	bool	No	-	Whether to enable deletion. This option requires Doris table to enable batch delete function (0.15+ version is enabled by default), and only supports Unique model. you can get more detail at this link
sink.check-interval	int	No	10000	check exception with the interval while loading
sink.max-retries	int	No	3	the max retry times if writing records to database failed
sink.buffer-size	int	No	256 * 1024	the buffer size to cache data for stream load.
sink.buffer-count	int	No	3	the buffer count to cache data for stream load.
doris.batch.size	int	No	1024	the batch size of the write to doris each http request, when the row reaches the size or checkpoint is executed, the data of cached will write to server.
needs_unsupported_type_casting	boolean	No	false	Whether to enable the unsupported type casting, such as Decimal64 to Double
schema_save_mode	Enum	no	CREATE_SCHEMA_WHEN_NOT_EXIST	the schema save mode, please refer to schema_save_mode below
data_save_mode	Enum	no	APPEND_DATA	the data save mode, please refer to data_save_mode below
save_mode_create_template	string	no	see below	see below
custom_sql	String	no	-	When data_save_mode selects CUSTOM_PROCESSING, you should fill in the CUSTOM_SQL parameter. This parameter usually fills in a SQL that can be executed. SQL will be executed before synchronization tasks.
doris.config	map	yes	-	This option is used to support operations such as insert, delete, and update when automatically generate sql,and supported formats.

schema_save_mode[Enum]​

Before the synchronous task is turned on, different treatment schemes are selected for the existing surface structure of the target side. Option introduction： RECREATE_SCHEMA ：Will create when the table does not exist, delete and rebuild when the table is saved CREATE_SCHEMA_WHEN_NOT_EXIST ：Will Created when the table does not exist, skipped when the table is saved ERROR_WHEN_SCHEMA_NOT_EXIST ：Error will be reported when the table does not exist

data_save_mode[Enum]​

Before the synchronous task is turned on, different processing schemes are selected for data existing data on the target side. Option introduction： DROP_DATA： Preserve database structure and delete data APPEND_DATA：Preserve database structure, preserve data CUSTOM_PROCESSING：User defined processing ERROR_WHEN_DATA_EXISTS：When there is data, an error is reported

save_mode_create_template​

We use templates to automatically create Doris tables, which will create corresponding table creation statements based on the type of upstream data and schema type, and the default template can be modified according to the situation.

Default template:

CREATE TABLE IF NOT EXISTS `${database}`.`${table}` (
${rowtype_primary_key},
${rowtype_fields}
) ENGINE=OLAP
 UNIQUE KEY (${rowtype_primary_key})
DISTRIBUTED BY HASH (${rowtype_primary_key})
 PROPERTIES (
"replication_allocation" = "tag.location.default: 1",
"in_memory" = "false",
"storage_format" = "V2",
"disable_auto_compaction" = "false"
)

If a custom field is filled in the template, such as adding an id field

CREATE TABLE IF NOT EXISTS `${database}`.`${table}`
(   
    id,
    ${rowtype_fields}
) ENGINE = OLAP UNIQUE KEY (${rowtype_primary_key})
    DISTRIBUTED BY HASH (${rowtype_primary_key})
    PROPERTIES
(
    "replication_num" = "1"
);

The connector will automatically obtain the corresponding type from the upstream to complete the filling, and remove the id field from rowtype_fields. This method can be used to customize the modification of field types and attributes.

You can use the following placeholders

• database: Used to get the database in the upstream schema

• table_name: Used to get the table name in the upstream schema

• rowtype_fields: Used to get all the fields in the upstream schema, we will automatically map to the field description of Doris

• rowtype_primary_key: Used to get the primary key in the upstream schema (maybe a list)

• rowtype_unique_key: Used to get the unique key in the upstream schema (maybe a list)

• rowtype_duplicate_key: Used to get the duplicate key in the upstream schema (only for doris source, maybe a list)

Data Type Mapping​

Doris Data Type	Nexus Data Type
BOOLEAN	BOOLEAN
TINYINT	TINYINT
SMALLINT	SMALLINT TINYINT
INT	INT SMALLINT TINYINT
BIGINT	BIGINT INT SMALLINT TINYINT
LARGEINT	BIGINT INT SMALLINT TINYINT
FLOAT	FLOAT
DOUBLE	DOUBLE FLOAT
DECIMAL	DECIMAL DOUBLE FLOAT
DATE	DATE
DATETIME	TIMESTAMP
CHAR	STRING
VARCHAR	STRING
STRING	STRING
ARRAY	ARRAY
MAP	MAP
JSON	STRING
HLL	Not supported yet
BITMAP	Not supported yet
QUANTILE_STATE	Not supported yet
STRUCT	Not supported yet

Supported import data formats​

The supported formats include CSV and JSON

Task Example​

Simple:​

The following example describes writing multiple data types to Doris, and users need to create corresponding tables downstream

env {
  parallelism = 1
  job.mode = "BATCH"
  checkpoint.interval = 10000
}

source {
  FakeSource {
    row.num = 10
    map.size = 10
    array.size = 10
    bytes.length = 10
    string.length = 10
    schema = {
      fields {
        c_map = "map<string, array<int>>"
        c_array = "array<int>"
        c_string = string
        c_boolean = boolean
        c_tinyint = tinyint
        c_smallint = smallint
        c_int = int
        c_bigint = bigint
        c_float = float
        c_double = double
        c_decimal = "decimal(16, 1)"
        c_null = "null"
        c_bytes = bytes
        c_date = date
        c_timestamp = timestamp
      }
    }
    }
}

sink {
  Doris {
    fenodes = "doris_cdc_e2e:8030"
    username = root
    password = ""
    database = "test"
    table = "e2e_table_sink"
    sink.label-prefix = "test-cdc"
    sink.enable-2pc = "true"
    sink.enable-delete = "true"
    doris.config {
      format = "json"
      read_json_by_line = "true"
    }
  }
}

CDC(Change Data Capture) Event:​

This example defines a Nexus synchronization task that automatically generates data through FakeSource and sends it to Doris Sink,FakeSource simulates CDC data with schema, score (int type),Doris needs to create a table sink named test.e2e_table_sink and a corresponding table for it.

env {
  parallelism = 1
  job.mode = "BATCH"
  checkpoint.interval = 10000
}

source {
  FakeSource {
    schema = {
      fields {
        pk_id = bigint
        name = string
        score = int
        sex = boolean
        number = tinyint
        height = float
        sight = double
        create_time = date
        update_time = timestamp
      }
    }
    rows = [
      {
        kind = INSERT
        fields = [1, "A", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
      },
      {
        kind = INSERT
        fields = [2, "B", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
      },
      {
        kind = INSERT
        fields = [3, "C", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
      },
      {
        kind = UPDATE_BEFORE
        fields = [1, "A", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
      },
      {
        kind = UPDATE_AFTER
        fields = [1, "A_1", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
      },
      {
        kind = DELETE
        fields = [2, "B", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
      }
    ]
  }
}

sink {
  Doris {
    fenodes = "doris_cdc_e2e:8030"
    username = root
    password = ""
    database = "test"
    table = "e2e_table_sink"
    sink.label-prefix = "test-cdc"
    sink.enable-2pc = "true"
    sink.enable-delete = "true"
    doris.config {
      format = "json"
      read_json_by_line = "true"
    }
  }
}

Use JSON format to import data​

sink {
    Doris {
        fenodes = "e2e_dorisdb:8030"
        username = root
        password = ""
        database = "test"
        table = "e2e_table_sink"
        sink.enable-2pc = "true"
        sink.label-prefix = "test_json"
        doris.config = {
            format="json"
            read_json_by_line="true"
        }
    }
}

Use CSV format to import data​

sink {
    Doris {
        fenodes = "e2e_dorisdb:8030"
        username = root
        password = ""
        database = "test"
        table = "e2e_table_sink"
        sink.enable-2pc = "true"
        sink.label-prefix = "test_csv"
        doris.config = {
          format = "csv"
          column_separator = ","
        }
    }
}

Multiple table​

example1​

env {
  parallelism = 1
  job.mode = "STREAMING"
  checkpoint.interval = 5000
}

source {
  Mysql-CDC {
    base-url = "jdbc:mysql://127.0.0.1:3306/nexus"
    username = "root"
    password = "******"
    
    table-names = ["nexus.role","nexus.user","galileo.Bucket"]
  }
}

transform {
}

sink {
  Doris {
    fenodes = "doris_cdc_e2e:8030"
    username = root
    password = ""
    database = "${database_name}_test"
    table = "${table_name}_test"
    sink.label-prefix = "test-cdc"
    sink.enable-2pc = "true"
    sink.enable-delete = "true"
    doris.config {
      format = "json"
      read_json_by_line = "true"
    }
  }
}

example2​

env {
  parallelism = 1
  job.mode = "BATCH"
}

source {
  Jdbc {
    driver = oracle.jdbc.driver.OracleDriver
    url = "jdbc:oracle:thin:@localhost:1521/XE"
    user = testUser
    password = testPassword

    table_list = [
      {
        table_path = "TESTSCHEMA.TABLE_1"
      },
      {
        table_path = "TESTSCHEMA.TABLE_2"
      }
    ]
  }
}

transform {
}

sink {
  Doris {
    fenodes = "doris_cdc_e2e:8030"
    username = root
    password = ""
    database = "${schema_name}_test"
    table = "${table_name}_test"
    sink.label-prefix = "test-cdc"
    sink.enable-2pc = "true"
    sink.enable-delete = "true"
    doris.config {
      format = "json"
      read_json_by_line = "true"
    }
  }
}