Flink实战（七十三）：flink-sql使用（一）简介（一）入门
声明：本系列博客是根据SGG的视频整理而成，非常适合大家入门学习。
《2021年最新版大数据面试题全面开启更新》
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
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 ;