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How to use flink sql module
Tutorial of flink sql module
Usage
1. Command Entrypoint
bin/start-seatunnel-sql.sh
2. seatunnel config
Change the file flink.sql.conf.template in the config/ directory to flink.sql.conf
mv flink.sql.conf.template flink.sql.conf
Prepare a seatunnel config file with the following content:
SET table.dml-sync = true;
CREATE TABLE events (
f_type INT,
f_uid INT,
ts AS localtimestamp,
WATERMARK FOR ts AS ts
) WITH (
'connector' = 'datagen',
'rows-per-second'='5',
'fields.f_type.min'='1',
'fields.f_type.max'='5',
'fields.f_uid.min'='1',
'fields.f_uid.max'='1000'
);
CREATE TABLE print_table (
type INT,
uid INT,
lstmt TIMESTAMP
) WITH (
'connector' = 'print',
'sink.parallelism' = '1'
);
INSERT INTO print_table SELECT * FROM events where f_type = 1;
3. run job
Standalone Cluster
bin/start-seatunnel-sql.sh --config config/flink.sql.conf
# -p 2 specifies that the parallelism of flink job is 2. You can also specify more parameters, use flink run -h to view
bin/start-seatunnel-flink.sh \
-p 2 \
--config config/flink.sql.conf
Yarn Cluster
bin/start-seatunnel-sql.sh -m yarn-cluster --config config/flink.sql.conf
bin/start-seatunnel-sql.sh -t yarn-per-job --config config/flink.sql.conf
# -p 2 specifies that the parallelism of flink job is 2. You can also specify more parameters, use flink run -h to view
bin/start-seatunnel-flink.sh \
-p 2 \
-m yarn-cluster \
--config config/flink.sql.conf
Other Options
-p 2specifies that the job parallelism is2
bin/start-seatunnel-sql.sh -p 2 --config config/flink.sql.conf
Example
- How to implement flink sql interval join with seatunnel flink-sql module
intervaljoin.sql.conf
CREATE TABLE basic (
`id` BIGINT,
`name` STRING,
`ts` STRING
) WITH (
'connector' = 'kafka',
'topic' = 'basic',
'properties.bootstrap.servers' = 'XX.XX.XX.XX:9092',
'properties.group.id' = 'testGroup',
'scan.startup.mode' = 'latest-offset',
'format' = 'json'
);
CREATE TABLE infos (
`id` BIGINT,
`age` BIGINT,
`ts` STRING
) WITH (
'connector' = 'kafka',
'topic' = 'info',
'properties.bootstrap.servers' = 'XX.XX.XX.XX:9092',
'properties.group.id' = 'testGroup',
'scan.startup.mode' = 'latest-offset',
'format' = 'json'
);
CREATE TABLE stream2_join_result (
id BIGINT ,
name STRING,
age BIGINT,
ts1 STRING ,
ts2 STRING,
PRIMARY KEY(id) NOT ENFORCED
) WITH (
'connector' = 'jdbc',
'url' = 'jdbc:mysql://XX.XX.XX.XX:3306/testDB',
'username' = 'root',
'password' = 'taia@2021',
'table-name' = 'stream2_join_result'
);
insert into stream2_join_result select basic.id, basic.name, infos.age,basic.ts,infos.ts
from basic join infos on (basic.id = infos.id) where TO_TIMESTAMP(basic.ts,'yyyy-MM-dd HH:mm:ss')
BETWEEN TO_TIMESTAMP(infos.ts,'yyyy-MM-dd HH:mm:ss') - INTERVAL '10' SECOND AND TO_TIMESTAMP(infos.ts,'yyyy-MM-dd HH:mm:ss') + INTERVAL '10' SECOND;
bin/start-seatunnel-sql.sh -m yarn-cluster --config config/intervaljoin.sql.conf
- How to implement flink sql dim join (using mysql) with seatunnel flink-sql module
dimjoin.sql.conf
CREATE TABLE code_set_street (
area_code STRING,
area_name STRING,
town_code STRING ,
town_name STRING ,
PRIMARY KEY(town_code) NOT ENFORCED
) WITH (
'connector' = 'jdbc',
'url' = 'jdbc:mysql://XX.XX.XX.XX:3306/testDB',
'username' = 'root',
'password' = '2021',
'table-name' = 'code_set_street',
'lookup.cache.max-rows' = '5000' ,
'lookup.cache.ttl' = '5min'
);
CREATE TABLE people (
`id` STRING,
`name` STRING,
`ts` TimeStamp(3) ,
proctime AS PROCTIME()
) WITH (
'connector' = 'kafka',
'topic' = 'people',
'properties.bootstrap.servers' = 'XX.XX.XX.XX:9092',
'properties.group.id' = 'testGroup',
'scan.startup.mode' = 'latest-offset',
'format' = 'json'
);
CREATE TABLE mysql_dim_join_result (
id STRING ,
name STRING,
area_name STRING,
town_code STRING ,
town_name STRING,
ts TimeStamp ,
PRIMARY KEY(id,town_code) NOT ENFORCED
) WITH (
'connector' = 'jdbc',
'url' = 'jdbc:mysql://XX.XX.XX.XX:3306/testDB',
'username' = 'root',
'password' = '2021',
'table-name' = 'mysql_dim_join_result'
);
insert into mysql_dim_join_result
select people.id , people.name ,code_set_street.area_name ,code_set_street.town_code, code_set_street.town_name , people.ts
from people inner join code_set_street FOR SYSTEM_TIME AS OF people.proctime
on (people.id = code_set_street.town_code);
bin/start-seatunnel-sql.sh -m yarn-cluster --config config/dimjoin.sql.conf
- How to implement flink SQL cdc dim join (using mysql-cdc) with seatunnel flink-sql module
First, we need to create a table in mysql database
CREATE TABLE `dim_cdc_join_result` (
`id` varchar(255) NOT NULL,
`name` varchar(255) DEFAULT NULL,
`area_name` varchar(255) NOT NULL,
`town_code` varchar(255) NOT NULL,
`town_name` varchar(255) DEFAULT NULL,
`ts` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`,`town_code`,`ts`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=COMPACT;
cdcjoin.sql.conf
CREATE TABLE code_set_street_cdc (
area_code STRING,
area_name STRING,
town_code STRING ,
town_name STRING ,
PRIMARY KEY(town_code) NOT ENFORCED
) WITH (
'connector' = 'mysql-cdc',
'hostname' = 'XX.XX.XX.XX',
'port' = '3306',
'username' = 'root',
'password' = '2021',
'database-name' = 'flink',
'table-name' = 'code_set_street'
);
CREATE TABLE people (
`id` STRING,
`name` STRING,
`ts` STRING
) WITH (
'connector' = 'kafka',
'topic' = 'people',
'properties.bootstrap.servers' = 'XX.XX.XX.XX:9092',
'properties.group.id' = 'testGroup',
'scan.startup.mode' = 'latest-offset',
'format' = 'json'
);
# create mysql sink table in flink
CREATE TABLE dim_cdc_join_result (
id STRING ,
name STRING,
area_name STRING,
town_code STRING ,
town_name STRING,
ts STRING ,
PRIMARY KEY(id,town_code) NOT ENFORCED
) WITH (
'connector' = 'jdbc',
'url' = 'jdbc:mysql://XX.XX.XX.XX:3306/flink',
'username' = 'root',
'password' = '2021',
'table-name' = 'dim_cdc_join_result'
);
insert into dim_cdc_join_result
select a.id , a.name ,b.area_name ,b.town_code, b.town_name , a.ts
from people a inner join code_set_street_cdc b on (a.id = b.town_code);
bin/start-seatunnel-sql.sh -m yarn-cluster --config config/cdcjoin.sql.conf