Flink实战（七十三）：FLINK-SQL使用基础（一）简介（一）入门

1. 启动flink-sql-client

1)  启动flink (1.10 版本)

sudo ./bin/start-cluster.sh

2)  启动 sql-client

sudo ./bin/sql-client.sh embedded

启动成功 会进入 flink sql> 命令行界面 ( 输入 quit; 退出)

 2 基本用法

Flink SQL> SELECT name, COUNT(*) AS cnt 
FROM (VALUES ('Bob'), ('Alice'), ('Greg'), ('Bob')) AS nameTable(name) 
GROUP BY name;

3 连接kafka

3.1 增加扩展包(默认的只支持csv,file等文件系统)

flink-json-1.10.2.jar   （https://repo1.maven.org/maven2/org/apache/flink/flink-json/1.10.2/flink-json-1.10.2.jar）

flink-sql-connector-kafka_2.11-1.10.2.jar （https://repo1.maven.org/maven2/org/apache/flink/flink-sql-connector-kafka_2.11/1.10.2/flink-sql-connector-kafka_2.11-1.10.2.jar）

将jar包flink 文件夹下的lib文件夹下

3.2 启动sql-client

./bin/sql-client.sh embedded -l lib/

 -l,--library <JAR directory>  可以参考 https://ci.apache.org/projects/flink/flink-docs-release-1.11/zh/dev/table/sqlClient.html

3.3 创建 kafka Table

CREATE TABLE CustomerStatusChangedEvent(customerId int,
oStatus int,
nStatus int)with('connector.type' = 'kafka',
'connector.version' = 'universal',
'connector.properties.group.id' = 'g2.group1',
'connector.properties.bootstrap.servers' = '192.168.1.85:9092,192.168.1.86:9092',
'connector.properties.zookeeper.connect' = '192.168.1.85:2181',
'connector.topic' = 'customer_statusChangedEvent',
'connector.startup-mode' = 'earliest-offset',
'format.type' = 'json');

3.4 插入数据

insert into CustomerStatusChangedEvent(customerId,oStatus,nStatus)
values(1001,1,2),(1002,10,2),(1003,1,20);

3.4 执行查询

select *  from CustomerStatusChangedEvent ;