版本说明：

1. Flink 1.11.1
2. Kafka 2.4.0
3. Hive 2.3.6
4. Hadoop 2.7.3

详细步骤：

1. 准备相关jar包

hive-exec-2.3.6.jar
hive-metastore-2.3.6.
libfb303-0.9.3.jarjar
kafka-clients-2.4.0.jar
flink-sql-connector-hive-2.3.6_2.11-1.11.1.jar
flink-sql-connector-kafka_2.11-1.11.1.jar
flink-shaded-hadoop2-uber-2.7.5-1.8.3.jar

2. 修改配置文件

修改$FLINK_HOME/conf/sql-client-defaults.yaml，主要修改两个地方：

catalogs:
  - name: myhive
    type: hive
    hive-conf-dir: /vm_data/apps/apache-hive-2.3.6-bin/conf
    default-database: default

execution:
    current-catalog: myhive

修改$FLINK_HOME/bin/start-cluster.sh，加入Hadoop Classpath：

export HADOOP_CLASSTHPATH=`hadoop classthpath`

修改$HIVE_HOME/conf/hive-site.xml

<property>
  <name>hive.metastore.uris</name>
  <value>thrift://hadoop000:9083</value>
</property>

3. 启动Flink SQL Client

需要先启动Flink Standalone集群

$FLINK_HOME/bin/start-cluster.sh
$FLINK_HOME/bin/sql-client.sh embedded

4. 在Flink SQL Client中创建Hive表，指定数据源为Kafka
   在配置文件中配置了默认为default库

CREATE TABLE student(
  id INT,
  name STRING,
  password STRING,
  age INT,
  ts BIGINT,
  eventTime AS TO_TIMESTAMP(FROM_UNIXTIME(ts / 1000, 'yyyy-MM-dd HH:mm:ss')), -- 事件时间
  WATERMARK FOR eventTime AS eventTime - INTERVAL '10' SECOND -- 水印
) WITH (
  'connector.type' = 'kafka',
  'connector.version' = 'universal', -- 指定Kafka连接器版本，不能为2.4.0，必须为universal，否则会报错
  'connector.topic' = 'student', -- 指定消费的topic
  'connector.startup-mode' = 'latest-offset', -- 指定起始offset位置
  'connector.properties.zookeeper.connect' = 'hadoop000:2181',
  'connector.properties.bootstrap.servers' = 'hadooop000:9092',
  'connector.properties.group.id' = 'student_1',
  'format.type' = 'json',
  'format.derive-schema' = 'true', -- 由表schema自动推导解析JSON
  'update-mode' = 'append'
);

5. 启动Kafka，发送数据

$KAFKA_HOME/bin/kafka-console-producer.sh --broker-list hadoop000:9092 --topic student

{"id":12, "name":"kevin", "password":"wong", "age":22, "ts":1603769073}

6. 通过Flink SQL Client查询表中的数据

select * from student