Fink CDC数据同步（五）Kafka数据同步Hive

6、Kafka同步到Hive

6.1 建映射表

通过flink sql client 建Kafka topic的映射表

 CREATE TABLE kafka_user_topic(
     id     int,
     name   string,
     birth  string,
     gender    string
) WITH (
 'connector' = 'kafka',
 'topic' = 'flink-cdc-user',
 'properties.bootstrap.servers' = '192.168.0.4:6668',
 'scan.startup.mode' = 'earliest-offset',
 'format' = 'json'
);

6.2 建hive表

建hive表

CREATE TABLE ods_user (
     id     int,
     name   string,
     birth  string,
     gender    string
) STORED AS parquet TBLPROPERTIES (
  'sink.partition-commit.trigger'='partition-time',
  'sink.partition-commit.delay'='0S',
  'sink.partition-commit.policy.kind'='metastore,success-file',
  'auto-compaction'='true',
  'compaction.file-size'='128MB'
);

如果没有切换hive方言建hive表会报错

切换Hive方言

SET table.sql-dialect=hive;

hive表

CREATE TABLE ods_user (
     id     int,
     name   string,
     birth  string,
     gender    string
) STORED AS parquet TBLPROPERTIES (
  'sink.partition-commit.trigger'='partition-time',
  'sink.partition-commit.delay'='0S',
  'sink.partition-commit.policy.kind'='metastore,success-file',
  'auto-compaction'='true',
  'compaction.file-size'='128MB'
);

6.3 生成作业

生成数据

insert into ods_user
select * from kafka_user_topic;

---

 系列文章

Fink CDC数据同步（一）环境部署https://blog.csdn.net/weixin_44586883/article/details/136017355?spm=1001.2014.3001.5502​​​​​​​
Fink CDC数据同步（二）MySQL数据同步https://blog.csdn.net/weixin_44586883/article/details/136017472?spm=1001.2014.3001.5501
Fink CDC数据同步（三）Flink集成Hivehttps://blog.csdn.net/weixin_44586883/article/details/136017571?spm=1001.2014.3001.5501
Fink CDC数据同步（四）Mysql数据同步到Kafkahttps://blog.csdn.net/weixin_44586883/article/details/136023747?spm=1001.2014.3001.5501
Fink CDC数据同步（五）Kafka数据同步Hivehttps://blog.csdn.net/weixin_44586883/article/details/136023837?spm=1001.2014.3001.5501

Fink CDC数据同步（六）数据入湖Hudihttps://blog.csdn.net/weixin_44586883/article/details/136023939?spm=1001.2014.3001.5502