---

title: Doris sidebar_position: 16

import {siteVariables} from ‘../../version’;

Overview

• Doris Load node supports writing data to the Doris database.
• Two modes are supported for sink to Doris: Single-sink for specify fixed database name and table name to sink. Multi-sink for custom database name and table name according to src format, which suitable for scenarios such as multi-table writing or whole database synchronization.
• This document describes how to set up a Doris Load node to sink to Doris.

Supported Version

Load Node	Doris version
Doris	0.13+

Dependencies

In order to set up the Doris Load node, the dependency information needed to use a build automation tool such as Maven or SBT is provided below.

Maven dependency

<dependency>
    <groupId>org.apache.inlong</groupId>
    <artifactId>sort-connector-doris</artifactId>
    <version>${siteVariables.inLongVersion}</version>
</dependency>

Prepare

Create MySql Extract table

• For Single-sink: Create a table cdc.cdc_mysql_source in the MySQL database. The command is as follows:

[root@fe001 ~]# mysql -u root -h localhost -P 3306 -p123456
mysql> use cdc;
Database changed
mysql> CREATE TABLE `cdc_mysql_source` (
       `id` int(11) NOT NULL AUTO_INCREMENT,
       `name` varchar(64) DEFAULT NULL,
       `dr` tinyint(3) DEFAULT 0,
       PRIMARY KEY (`id`)
       );
Query OK, 0 rows affected (0.02 sec)

mysql> insert into cdc_mysql_source values(1, 'zhangsan', 0),(2, 'lisi', 0),(3, 'wangwu', 0);
Query OK, 3 rows affected (0.01 sec)
Records: 3  Duplicates: 0  Warnings: 0

mysql> select * from cdc_mysql_source;
+----+----------+----+
| id | name     | dr |
+----+----------+----+
|  1 | zhangsan |  0 |
|  2 | lisi     |  0 |
|  3 | wangwu   |  0 |
+----+----------+----+
3 rows in set (0.07 sec)

• For Multi-sink: Create tables user_db.user_id_name、user_db.user_id_score in the MySQL database. The command is as follows:

[root@fe001 ~]# mysql -u root -h localhost -P 3306 -p123456
mysql> use user_db;
Database changed
mysql> CREATE TABLE `user_id_name` (
       `id` int(11) NOT NULL AUTO_INCREMENT,
       `name` varchar(64) DEFAULT NULL
       PRIMARY KEY (`id`)
       );
Query OK, 0 rows affected (0.02 sec)

mysql> CREATE TABLE `user_id_score` (
       `id` int(11) NOT NULL AUTO_INCREMENT,
       `score` double default 0,
       PRIMARY KEY (`id`)
       );
Query OK, 0 rows affected (0.02 sec)

mysql> insert into user_id_name values(1001, 'lily'),(1002, 'tom'),(1003, 'alan');
Query OK, 3 rows affected (0.01 sec)
Records: 3  Duplicates: 0  Warnings: 0 

mysql> insert into user_id_score values(1001, 99),(1002, 96),(1003, 98);
Query OK, 3 rows affected (0.01 sec)
Records: 3  Duplicates: 0  Warnings: 0 

mysql> select * from user_id_name;
+------+--------+
|  id  | name   |
+------+--------+
| 1001 | lily   |
| 1002 | tom    |
| 1003 | alan   |
+----+----------+
3 rows in set (0.07 sec)    

mysql> select * from user_id_score;
+------+------+
|  id  | name |
+------+------+
| 1001 | 99   |
| 1002 | 96   |
| 1003 | 98   |
+----+--------+
3 rows in set (0.07 sec)  

Create Doris Load table

• For Single-sink: Create a table cdc.cdc_doris_sink in the Doris database. The command is as follows:

[root@fe001 ~]# mysql -u root -h localhost -P 9030 -p000000
mysql> use cdc;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed

mysql> CREATE TABLE `cdc_doris_sink` (
       `id` int(11) NOT NULL COMMENT "user id",
       `name` varchar(50) NOT NULL COMMENT "user name",
       `dr` tinyint(4) NULL COMMENT "delete tag"
       ) ENGINE=OLAP
       UNIQUE KEY(`id`)
       COMMENT "OLAP"
       DISTRIBUTED BY HASH(`id`) BUCKETS 1
       PROPERTIES (
       "replication_allocation" = "tag.location.default: 1"
       );
Query OK, 0 rows affected (0.06 sec)

• For Multi-sink: Create tables user_db.doris_user_id_name、user_db.doris_user_id_score in the Doris database. The command is as follows:

[root@fe001 ~]# mysql -u root -h localhost -P 9030 -p000000
mysql> use user_db;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed

mysql> CREATE TABLE `doris_user_id_name` (
       `id` int(11) NOT NULL COMMENT "用户id",
       `name` varchar(50) NOT NULL COMMENT "昵称"
       ) ENGINE=OLAP
       UNIQUE KEY(`id`)
       COMMENT "OLAP"
       DISTRIBUTED BY HASH(`id`) BUCKETS 1
       PROPERTIES (
       "replication_allocation" = "tag.location.default: 1"
       );
Query OK, 0 rows affected (0.06 sec)

mysql> CREATE TABLE `doris_user_id_score` (
       `id` int(11) NOT NULL COMMENT "用户id",
       `score` double default 0
       ) ENGINE=OLAP
       UNIQUE KEY(`id`)
       COMMENT "OLAP"
       DISTRIBUTED BY HASH(`id`) BUCKETS 1
       PROPERTIES (
       "replication_allocation" = "tag.location.default: 1"
       );
Query OK, 0 rows affected (0.06 sec)

How to create a Doris Load Node

Usage for SQL API

• For Single-sink: Doris load

[root@tasknode001 flink-1.15.4]# ./bin/sql-client.sh -l ./opt/connectors/mysql-cdc-inlong/ -l ./opt/connectors/doris/
Flink SQL> SET 'execution.checkpointing.interval' = '3s';
[INFO] Session property has been set.

Flink SQL> SET 'table.dynamic-table-options.enabled' = 'true';
[INFO] Session property has been set.

Flink SQL> CREATE TABLE cdc_mysql_source (
    >   id int
    >   ,name VARCHAR
    >   ,dr TINYINT
    >   ,PRIMARY KEY (id) NOT ENFORCED
    > ) WITH (
    >  'connector' = 'mysql-cdc-inlong',
    >  'hostname' = 'localhost',
    >  'port' = '3306',
    >  'username' = 'root',
    >  'password' = '123456',
    >  'database-name' = 'cdc',
    >  'table-name' = 'cdc_mysql_source'
    > );
[INFO] Execute statement succeed.

Flink SQL> CREATE TABLE cdc_doris_sink (
    > id INT,
    > name STRING,
    > dr TINYINT
    > ) WITH (
    >  'connector' = 'doris-inlong',
    >  'fenodes' = 'localhost:8030',
    >  'table.identifier' = 'cdc.cdc_doris_sink',
    >  'username' = 'root',
    >  'password' = '000000',
    >  'sink.properties.format' = 'json',
    >  'sink.properties.strip_outer_array' = 'true',
    >  'sink.enable-delete' = 'true'
    > );
[INFO] Execute statement succeed.

-- Support delete event synchronization (sink.enable-delete='true'), requires Doris table to enable batch delete function
Flink SQL> insert into cdc_doris_sink select * from cdc_mysql_source /*+ OPTIONS('server-id'='5402') */;
[INFO] Submitting SQL update statement to the cluster...
[INFO] SQL update statement has been successfully submitted to the cluster:
Job ID: 5f89691571d7b3f3ca446589e3d0c3d3

• For Single-sink: Doris load

./bin/sql-client.sh -l ./opt/connectors/mysql-cdc-inlong/ -l ./opt/connectors/doris/
Flink SQL> SET 'execution.checkpointing.interval' = '3s';
[INFO] Session property has been set.

Flink SQL> SET 'table.dynamic-table-options.enabled' = 'true';
[INFO] Session property has been set.

Flink SQL> CREATE TABLE cdc_mysql_source (
    >   id int
    >   ,name VARCHAR
    >   ,dr TINYINT
    >   ,PRIMARY KEY (id) NOT ENFORCED
    > ) WITH (
    >  'connector' = 'mysql-cdc-inlong',
    >  'hostname' = 'localhost',
    >  'port' = '3306',
    >  'username' = 'root',
    >  'password' = '123456',
    >  'database-name' = 'test',
    >  'table-name' = 'cdc_mysql_source'
    > );
[INFO] Execute statement succeed.

Flink SQL> CREATE TABLE cdc_doris_sink (
    > id INT,
    > name STRING,
    > dr TINYINT
    > ) WITH (
    >  'connector' = 'doris-inlong',
    >  'fenodes' = 'localhost:8030',
    >  'username' = 'root',
    >  'password' = '000000',
    >  'sink.enable-delete' = 'true',
    >  'sink.multiple.enable' = 'true',
    >  'sink.multiple.format' = 'canal-json',
    >  'sink.multiple.database-pattern' = '${database}',
    >  'sink.multiple.table-pattern' = 'doris_${table}'
    > );
[INFO] Execute statement succeed.

-- Support delete event synchronization (sink.enable-delete='true'), requires Doris table to enable batch delete function
Flink SQL> insert into cdc_doris_sink select * from cdc_mysql_source /*+ OPTIONS('server-id'='5402') */;
[INFO] Submitting SQL update statement to the cluster...
[INFO] SQL update statement has been successfully submitted to the cluster:
Job ID: 30feaa0ede92h6b6e25ea0cfda26df5e

Usage for InLong Dashboard

TODO: It will be supported in the future.

Usage for InLong Manager Client

TODO: It will be supported in the future.

Doris Load Node Options

Option	Required	Default	Type	Description
connector	required	(none)	string	Specify which connector to use, valid values are: doris
fenodes	required	(none)	string	Doris FE http address, support multiple addresses, separated by commas
table.identifier	required	(none)	string	Doris table identifier, eg, db1.tbl1
username	required	(none)	string	Doris username
password	required	(none)	string	Doris password
doris.request.retries	optional	3	int	Number of retries to send requests to Doris
doris.request.connect.timeout.ms	optional	30000	int	Connection timeout for sending requests to Doris
doris.request.read.timeout.ms	optional	30000	int	Read timeout for sending request to Doris
doris.request.query.timeout.s	optional	3600	int	Query the timeout time of Doris, the default is 1 hour, -1 means no timeout limit
doris.request.tablet.size	optional	Integer.MAX_VALUE	int	The number of Doris Tablets corresponding to an Partition. The smaller this value is set, the more partitions will be generated. This will increase the parallelism on the flink side, but at the same time will cause greater pressure on Doris.
doris.batch.size	optional	1024	int	The maximum number of rows to read data from BE at one time. Increasing this value can reduce the number of connections between Flink and Doris. Thereby reducing the extra time overhead caused by network delay.
doris.exec.mem.limit	optional	2147483648	long	Memory limit for a single query. The default is 2GB, in bytes.
doris.deserialize.arrow.async	optional	false	boolean	Whether to support asynchronous conversion of Arrow format to RowBatch required for flink-doris-connector iteration
doris.deserialize.queue.size	optional	64	int	Asynchronous conversion of the internal processing queue in Arrow format takes effect when doris.deserialize.arrow.async is true
doris.read.field	optional	(none)	string	List of column names in the Doris table, separated by commas
doris.filter.query	optional	(none)	string	Filter expression of the query, which is transparently transmitted to Doris. Doris uses this expression to complete source-side data filtering.
sink.batch.size	optional	10000	int	Maximum number of lines in a single write BE
sink.max-retries	optional	1	int	Number of retries after writing BE failed
sink.batch.interval	optional	10s	string	The flush interval, after which the asynchronous thread will write the data in the cache to BE. The default value is 10 second, and the time units are ms, s, min, h, and d. Set to 0 to turn off periodic writing.
sink.properties.*	optional	(none)	string	The stream load parameters. eg: sink.properties.column_separator = , Setting sink.properties.escape_delimiters = true if you want to use a control char as a separator, so that such as \\x01 will translate to binary 0x01 Support JSON format import, you need to enable both sink.properties.format =json and sink.properties.strip_outer_array =true Support CSV format data writing if sink.properties.format = csv is setted.
sink.enable-delete	optional	true	boolean	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.
sink.multiple.enable	optional	false	boolean	Determine whether to support multiple sink writing, default is false. when sink.multiple.enable is true, need sink.multiple.format、sink.multiple.database-pattern、sink.multiple.table-pattern be correctly set.
sink.multiple.format	optional	(none)	string	The format of multiple sink, it represents the real format of the raw binary data. can be canal-json or debezium-json at present. See kafka -- Dynamic Topic Extraction for more details.
sink.multiple.database-pattern	optional	(none)	string	Extract database name from the raw binary data, this is only used in the multiple sink writing scenario.
sink.multiple.table-pattern	optional	(none)	string	Extract table name from the raw binary data, this is only used in the multiple sink writing scenario.
sink.multiple.ignore-single-table-errors	optional	true	boolean	Whether ignore the single table erros when multiple sink writing scenario. When it is true，sink continue when one table occur exception, only stop the exception table sink. When it is false, stop the whole sink when one table occur exception.
inlong.metric.labels	optional	(none)	string	Inlong metric label, format of value is groupId={groupId}&streamId={streamId}&nodeId={nodeId}.
sink.multiple.schema-update.policy	optional	(none)	string	If sink data fields do not match doris table, such as table does not exsit or string data is over length, doris server will throw an exception. When this option is THROW_WITH_STOP, the exception will be thrown up to flink framework, flink will restart task automatically, trying to resume the task. When this option is STOP_PARTIAL, doris connector will stop writing into this table, other tables are written normally. The exception will be logging but not thrown up. When this option is LOG_WITH_IGNORE, doris connector only log the error, not throw up. Doris connector will try to write to doris server again when receiving new source data.
dirty.ignore	optinal	(none)	boolean	When writing data into doris table, errors may be thrown by doris server as table does not exist or data is over length. When this option is true, and dirty.side-output.* properties are configed correctly, dirty data can be written to Amazon S3 or Tencent Colud COS storage. Dirty data metrics will also be collected automatically. When this option is false, only dirty data metrics will be collected, but dirty data will not be archived.
dirty.side-output.enable	optinal	(none)	boolean	When this option is ture and other options about S3 or COS is configed correctly, dirty data archiving will works. When false, dirty data archiving will not work.
dirty.side-output.connector	optinal	(none)	string	s3 or log are supported now. When log, doris connector only log the dirty data, not archive data. When s3, doris connector can write dirty data to S3 or COS.
dirty.side-output.s3.bucket	optinal	(none)	string	The bucket name of S3 or COS
dirty.side-output.s3.endpoint	optinal	(none)	string	The endpoint of S3 or COS
dirty.side-output.s3.key	optinal	(none)	string	The key of S3 or COS
dirty.side-output.s3.region	optinal	(none)	string	The region of S3 or COS
dirty.side-output.line-delimiter	optinal	(none)	string	The line delimiter of dirty data
dirty.side-output.field-delimiter	optinal	(none)	string	The field delimiter of dirty data
dirty.side-output.s3.secret-key-id	optinal	(none)	string	The secret key of S3 or COS
dirty.side-output.s3.access-key-id	optinal	(none)	string	The access key of S3 or COS
dirty.side-output.format	optinal	(none)	string	The format of dirty data archiving, supports json or csv
dirty.side-output.log-tag	optinal	(none)	string	The log tag of dirty data. Doris connector uses lags to distinguish which doris database and table the dirty data will be written to.
dirty.identifier	optinal	(none)	string	The file name of drity data which written to S3 or COS.
dirty.side-output.labels	optinal	(none)	string	Every dirty data line contains label and business data fields. Label is in front, and business data is at end.

Data Type Mapping

Doris Type	Flink Type
NULL_TYPE	NULL
BOOLEAN	BOOLEAN
TINYINT	TINYINT
SMALLINT	SMALLINT
INT	INT
BIGINT	BIGINT
FLOAT	FLOAT
DOUBLE	DOUBLE
DATE	STRING
DATETIME	STRING
DECIMAL	DECIMAL
CHAR	STRING
LARGEINT	STRING
VARCHAR	STRING
DECIMALV2	DECIMAL
TIME	DOUBLE
HLL	Unsupported datatype

See flink-doris-connector for more details.