flink cdc MySQL2Doris 案例分享 解决分库多表同步
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案例简单说明
使用flink cdc，完成mysql 多库 多表同时同步到doris中
版本信息
flink 1.14.4
doris 1.1.0
依赖
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<scala.version>2.12</scala.version>
<java.version>1.8</java.version>
<flink.version>1.14.4</flink.version>
<fastjson.version>1.2.62</fastjson.version>
<hadoop.version>2.8.3</hadoop.version>
<scope.mode>compile</scope.mode>
<slf4j.version>1.7.30</slf4j.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-scala-bridge_$scala.version</artifactId>
<version>$flink.version</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner_$scala.version</artifactId>
<version>$flink.version</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-scala_$scala.version</artifactId>
<version>$flink.version</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_$scala.version</artifactId>
<version>$flink.version</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-jdbc_$scala.version</artifactId>
<version>$flink.version</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_$scala.version</artifactId>
<version>$flink.version</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>$fastjson.version</version>
</dependency>
<!-- Add log dependencies when debugging locally -->
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>$slf4j.version</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<version>$slf4j.version</version>
</dependency>
<!-- flink-doris-connector -->
<dependency>
<groupId>org.apache.doris</groupId>
<artifactId>flink-doris-connector-1.14_2.12</artifactId>
<version>1.1.0</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>8.0.12</version>
</dependency>
<dependency>
<groupId>com.ververica</groupId>
<artifactId>flink-connector-mysql-cdc</artifactId>
<version>2.2.0</version>
<exclusions>
<exclusion>
<artifactId>flink-shaded-guava</artifactId>
<groupId>org.apache.flink</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-runtime-web_$scala.version</artifactId>
<version>$flink.version</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.2.1</version>
<executions>
<execution>
<id>scala-compile-first</id>
<phase>process-resources</phase>
<goals>
<goal>compile</goal>
</goals>
</execution>
<execution>
<id>scala-test-compile</id>
<phase>process-test-resources</phase>
<goals>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
<configuration>
<args>
<arg>-feature</arg>
</args>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.8.1</version>
<configuration>
<source>8</source>
<target>8</target>
</configuration>
</plugin>
</plugins>
</build>
flink-connector-mysql-cdc 2.2.1版本 一直会报异常
java.lang.NoClassDefFoundError: org/apache/flink/shaded/guava18/com/google/common/util/concurrent/ThreadFactoryBuilder
从官网下载依赖，然后本地添加进去flink-sql-connector-mysql-cdc-2.2.0
准备mysql数据
CREATE DATABASE emp_1;
USE emp_1;
CREATE TABLE employees_1 (
emp_no INT NOT NULL,
birth_date DATE NOT NULL,
first_name VARCHAR(14) NOT NULL,
last_name VARCHAR(16) NOT NULL,
gender ENUM ('M','F') NOT NULL,
hire_date DATE NOT NULL,
PRIMARY KEY (emp_no)
);
INSERT INTO `employees_1` VALUES (10001,'1953-09-02','Georgi','Facello','M','1986-06-26'),
(10002,'1964-06-02','Bezalel','Simmel','F','1985-11-21'),
(10003,'1959-12-03','Parto','Bamford','M','1986-08-28'),
(10004,'1954-05-01','Chirstian','Koblick','M','1986-12-01'),
(10005,'1955-01-21','Kyoichi','Maliniak','M','1989-09-12'),
(10006,'1953-04-20','Anneke','Preusig','F','1989-06-02'),
(10007,'1957-05-23','Tzvetan','Zielinski','F','1989-02-10'),
(10008,'1958-02-19','Saniya','Kalloufi','M','1994-09-15'),
(10009,'1952-04-19','Sumant','Peac','F','1985-02-18'),
(10010,'1963-06-01','Duangkaew','Piveteau','F','1989-08-24'),
(10011,'1953-11-07','Mary','Sluis','F','1990-01-22'),
(10012,'1960-10-04','Patricio','Bridgland','M','1992-12-18'),
(10013,'1963-06-07','Eberhardt','Terkki','M','1985-10-20'),
(10014,'1956-02-12','Berni','Genin','M','1987-03-11'),
(10015,'1959-08-19','Guoxiang','Nooteboom','M','1987-07-02'),
(10016,'1961-05-02','Kazuhito','Cappelletti','M','1995-01-27'),
(10017,'1958-07-06','Cristinel','Bouloucos','F','1993-08-03'),
(10018,'1954-06-19','Kazuhide','Peha','F','1987-04-03'),
(10019,'1953-01-23','Lillian','Haddadi','M','1999-04-30'),
(10020,'1952-12-24','Mayuko','Warwick','M','1991-01-26'),
(10021,'1960-02-20','Ramzi','Erde','M','1988-02-10'),
(10022,'1952-07-08','Shahaf','Famili','M','1995-08-22'),
(10023,'1953-09-29','Bojan','Montemayor','F','1989-12-17'),
(10024,'1958-09-05','Suzette','Pettey','F','1997-05-19'),
(10025,'1958-10-31','Prasadram','Heyers','M','1987-08-17'),
(10026,'1953-04-03','Yongqiao','Berztiss','M','1995-03-20'),
(10027,'1962-07-10','Divier','Reistad','F','1989-07-07'),
(10028,'1963-11-26','Domenick','Tempesti','M','1991-10-22'),
(10029,'1956-12-13','Otmar','Herbst','M','1985-11-20'),
(10030,'1958-07-14','Elvis','Demeyer','M','1994-02-17'),
(10031,'1959-01-27','Karsten','Joslin','M','1991-09-01'),
(10032,'1960-08-09','Jeong','Reistad','F','1990-06-20'),
(10033,'1956-11-14','Arif','Merlo','M','1987-03-18'),
(10034,'1962-12-29','Bader','Swan','M','1988-09-21'),
(10035,'1953-02-08','Alain','Chappelet','M','1988-09-05'),
(10036,'1959-08-10','Adamantios','Portugali','M','1992-01-03');
CREATE TABLE employees_2 (
emp_no INT NOT NULL,
birth_date DATE NOT NULL,
first_name VARCHAR(14) NOT NULL,
last_name VARCHAR(16) NOT NULL,
gender ENUM ('M','F') NOT NULL,
hire_date DATE NOT NULL,
PRIMARY KEY (emp_no)
);
INSERT INTO `employees_2` VALUES (10037,'1963-07-22','Pradeep','Makrucki','M','1990-12-05'),
(10038,'1960-07-20','Huan','Lortz','M','1989-09-20'),
(10039,'1959-10-01','Alejandro','Brender','M','1988-01-19'),
(10040,'1959-09-13','Weiyi','Meriste','F','1993-02-14'),
(10041,'1959-08-27','Uri','Lenart','F','1989-11-12'),
(10042,'1956-02-26','Magy','Stamatiou','F','1993-03-21'),
(10043,'1960-09-19','Yishay','Tzvieli','M','1990-10-20'),
(10044,'1961-09-21','Mingsen','Casley','F','1994-05-21'),
(10045,'1957-08-14','Moss','Shanbhogue','M','1989-09-02'),
(10046,'1960-07-23','Lucien','Rosenbaum','M','1992-06-20'),
(10047,'1952-06-29','Zvonko','Nyanchama','M','1989-03-31'),
(10048,'1963-07-11','Florian','Syrotiuk','M','1985-02-24'),
(10049,'1961-04-24','Basil','Tramer','F','1992-05-04'),
(10050,'1958-05-21','Yinghua','Dredge','M','1990-12-25'),
(10051,'1953-07-28','Hidefumi','Caine','M','1992-10-15'),
(10052,'1961-02-26','Heping','Nitsch','M','1988-05-21'),
(10053,'1954-09-13','Sanjiv','Zschoche','F','1986-02-04'),
(10054,'1957-04-04','Mayumi','Schueller','M','1995-03-13');
CREATE DATABASE emp_2;
USE emp_2;
CREATE TABLE employees_1 (
emp_no INT NOT NULL,
birth_date DATE NOT NULL,
first_name VARCHAR(14) NOT NULL,
last_name VARCHAR(16) NOT NULL,
gender ENUM ('M','F') NOT NULL,
hire_date DATE NOT NULL,
PRIMARY KEY (emp_no)
);
INSERT INTO `employees_1` VALUES (10055,'1956-06-06','Georgy','Dredge','M','1992-04-27'),
(10056,'1961-09-01','Brendon','Bernini','F','1990-02-01'),
(10057,'1954-05-30','Ebbe','Callaway','F','1992-01-15'),
(10058,'1954-10-01','Berhard','McFarlin','M','1987-04-13'),
(10059,'1953-09-19','Alejandro','McAlpine','F','1991-06-26'),
(10060,'1961-10-15','Breannda','Billingsley','M','1987-11-02'),
(10061,'1962-10-19','Tse','Herber','M','1985-09-17'),
(10062,'1961-11-02','Anoosh','Peyn','M','1991-08-30'),
(10063,'1952-08-06','Gino','Leonhardt','F','1989-04-08'),
(10064,'1959-04-07','Udi','Jansch','M','1985-11-20'),
(10065,'1963-04-14','Satosi','Awdeh','M','1988-05-18'),
(10066,'1952-11-13','Kwee','Schusler','M','1986-02-26'),
(10067,'1953-01-07','Claudi','Stavenow','M','1987-03-04'),
(10068,'1962-11-26','Charlene','Brattka','M','1987-08-07'),
(10069,'1960-09-06','Margareta','Bierman','F','1989-11-05'),
(10070,'1955-08-20','Reuven','Garigliano','M','1985-10-14'),
(10071,'1958-01-21','Hisao','Lipner','M','1987-10-01'),
(10072,'1952-05-15','Hironoby','Sidou','F','1988-07-21'),
(10073,'1954-02-23','Shir','McClurg','M','1991-12-01'),
(10074,'1955-08-28','Mokhtar','Bernatsky','F','1990-08-13'),
(10075,'1960-03-09','Gao','Dolinsky','F','1987-03-19'),
(10076,'1952-06-13','Erez','Ritzmann','F','1985-07-09'),
(10077,'1964-04-18','Mona','Azuma','M','1990-03-02'),
(10078,'1959-12-25','Danel','Mondadori','F','1987-05-26'),
(10079,'1961-10-05','Kshitij','Gils','F','1986-03-27'),
(10080,'1957-12-03','Premal','Baek','M','1985-11-19'),
(10081,'1960-12-17','Zhongwei','Rosen','M','1986-10-30'),
(10082,'1963-09-09','Parviz','Lortz','M','1990-01-03'),
(10083,'1959-07-23','Vishv','Zockler','M','1987-03-31'),
(10084,'1960-05-25','Tuval','Kalloufi','M','1995-12-15');
CREATE TABLE employees_2(
emp_no INT NOT NULL,
birth_date DATE NOT NULL,
first_name VARCHAR(14) NOT NULL,
last_name VARCHAR(16) NOT NULL,
gender ENUM ('M','F') NOT NULL,
hire_date DATE NOT NULL,
PRIMARY KEY (emp_no)
);
INSERT INTO `employees_2` VALUES (10085,'1962-11-07','Kenroku','Malabarba','M','1994-04-09'),
(10086,'1962-11-19','Somnath','Foote','M','1990-02-16'),
(10087,'1959-07-23','Xinglin','Eugenio','F','1986-09-08'),
(10088,'1954-02-25','Jungsoon','Syrzycki','F','1988-09-02'),
(10089,'1963-03-21','Sudharsan','Flasterstein','F','1986-08-12'),
(10090,'1961-05-30','Kendra','Hofting','M','1986-03-14'),
(10091,'1955-10-04','Amabile','Gomatam','M','1992-11-18'),
(10092,'1964-10-18','Valdiodio','Niizuma','F','1989-09-22'),
(10093,'1964-06-11','Sailaja','Desikan','M','1996-11-05'),
(10094,'1957-05-25','Arumugam','Ossenbruggen','F','1987-04-18'),
(10095,'1965-01-03','Hilari','Morton','M','1986-07-15'),
(10096,'1954-09-16','Jayson','Mandell','M','1990-01-14'),
(10097,'1952-02-27','Remzi','Waschkowski','M','1990-09-15'),
(10098,'1961-09-23','Sreekrishna','Servieres','F','1985-05-13'),
(10099,'1956-05-25','Valter','Sullins','F','1988-10-18'),
(10100,'1953-04-21','Hironobu','Haraldson','F','1987-09-21'),
(10101,'1952-04-15','Perla','Heyers','F','1992-12-28'),
(10102,'1959-11-04','Paraskevi','Luby','F','1994-01-26'),
(10103,'1953-11-26','Akemi','Birch','M','1986-12-02'),
(10104,'1961-11-19','Xinyu','Warwick','M','1987-04-16'),
(10105,'1962-02-05','Hironoby','Piveteau','M','1999-03-23'),
(10106,'1952-08-29','Eben','Aingworth','M','1990-12-19'),
(10107,'1956-06-13','Dung','Baca','F','1994-03-22'),
(10108,'1952-04-07','Lunjin','Giveon','M','1986-10-02'),
(10109,'1958-11-25','Mariusz','Prampolini','F','1993-06-16'),
(10110,'1957-03-07','Xuejia','Ullian','F','1986-08-22'),
(10111,'1963-08-29','Hugo','Rosis','F','1988-06-19'),
(10112,'1963-08-13','Yuichiro','Swick','F','1985-10-08'),
(10113,'1963-11-13','Jaewon','Syrzycki','M','1989-12-24'),
(10114,'1957-02-16','Munir','Demeyer','F','1992-07-17'),
(10115,'1964-12-25','Chikara','Rissland','M','1986-01-23'),
(10116,'1955-08-26','Dayanand','Czap','F','1985-05-28');
准备doris表
create database test_db;
use test_db;
CREATE TABLE all_employees_info (
emp_no int NOT NULL,
birth_date date,
first_name varchar(20),
last_name varchar(20),
gender char(2),
hire_date date,
database_name varchar(50),
table_name varchar(200)
)
UNIQUE KEY(`emp_no`, `birth_date`)
DISTRIBUTED BY HASH(`birth_date`) BUCKETS 1
PROPERTIES (
"replication_allocation" = "tag.location.default: 1"
);
由于 UNIQUE KEY(emp_no, birth_date)，因此update mysql这两个字段的时候，doris 会多一条数据
代码案例
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.enableCheckpointing(10000);
env.setParallelism(1);
final StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
// register a table in the catalog
tEnv.executeSql(
"CREATE TABLE cdc_test_source (\\n" +
" emp_no INT,\\n" +
" birth_date DATE,\\n" +
" first_name STRING,\\n" +
" last_name STRING,\\n" +
" gender STRING,\\n" +
" hire_date STRING,\\n" +
" database_name STRING METADATA VIRTUAL,\\n" +
" table_name STRING METADATA VIRTUAL,\\n" +
" PRIMARY KEY (`emp_no`) NOT ENFORCED \\n" +
") WITH (\\n" +
" 'connector' = 'mysql-cdc',\\n" +
" 'hostname' = '192.168.22.xxx',\\n" +
" 'port' = '3306',\\n" +
" 'username' = 'xxx',\\n" +
" 'password' = 'xxx',\\n" +
" 'database-name' = 'emp_[0-9]+',\\n" +
" 'table-name' = 'employees_[0-9]+'\\n" +
")");
String label = UUID.randomUUID();
//doris table
tEnv.executeSql(
"CREATE TABLE doris_test_sink (" +
" emp_no INT,\\n" +
" birth_date STRING,\\n" +
" first_name STRING,\\n" +
" last_name STRING,\\n" +
" gender STRING,\\n" +
" hire_date STRING\\n" +
") " +
"WITH (\\n" +
" 'connector' = 'doris',\\n" +
" 'fenodes' = '172.8.10.xxx:8030',\\n" +
" 'table.identifier' = 'test_db.all_employees_info',\\n" +
" 'username' = 'xxx',\\n" +
" 'password' = 'xxx',\\n" +
/* doris stream load label, In the exactly-once scenario,
the label is globally unique and must be restarted from the latest checkpoint when restarting.
Exactly-once semantics can be turned off via sink.enable-2pc. */
" 'sink.label-prefix' ='" + label + "',\\n" +
" 'sink.properties.format' = 'json',\\n" + //json data format
" 'sink.properties.read_json_by_line' = 'true'\\n" +
")");
//insert into mysql table to doris table
tEnv.executeSql("INSERT INTO doris_test_sink select emp_no,cast(birth_date as string) as birth_date ,first_name,last_name,gender,cast(hire_date as string) as hire_date from cdc_test_source ");
执行之后可以再插入、更新一些数据，进行验证
补充
多库多表在于
" ‘database-name’ = ‘emp_[0-9]+’,\\n" +
" ‘table-name’ = ‘employees_[0-9]+’\\n" +
使用正则，可以自动匹配上
库、表 的名字在于
" database_name STRING METADATA VIRTUAL,\\n" +
" table_name STRING METADATA VIRTUAL,\\n" +
如果没写，是读取不到mysql数据中库、表的名字的
Doris 和 Flink 列类型映射关系 可以查看官网信息
Flink Doris Connector - Apache Doris
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