kafka ksql && docker 安装试用

备注： 使用docker 模式进行安装

 

1. 准备docker 环境（需要docker-compose）

    

docker 的安装不需要进行多描述了,直接yum 或者源码编译也可以

 

 

2. 安装 kafa 以及ksql

 

git clone git@github.com:confluentinc/ksql.git

cd ksql/docs/quickstart/
    
docker-compose up -d

 

3. 启动使用

 

docker-compose exec ksql-cli ksql-cli local --bootstrap-server kafka:29092

 

  参考界面：

  

 

4. 使用

  创建示例

 

  a. 非持久化数据查询

创建测试使用的表

CREATE STREAM pageviews_original (viewtime bigint, userid varchar, pageid varchar) WITH (kafka_topic='pageviews', value_format='DELIMITED');
DESCRIBE pageviews_original;

CREATE TABLE users_original (registertime bigint, gender varchar, regionid varchar, userid varchar) WITH (kafka_topic='users', value_format='JSON');
DESCRIBE users_original;

显示系统的stream
SHOW STREAMS;

 Stream Name        | Kafka Topic | Format    
----------------------------------------------
 PAGEVIEWS_ORIGINAL | pageviews   | DELIMITED 

显示系统的表
SHOW TABLES;

 Table Name     | Kafka Topic | Format | Windowed 
--------------------------------------------------
 USERS_ORIGINAL | users       | JSON   | false    

查询数据
SELECT pageid FROM pageviews_original LIMIT 3;
Page_66
Page_17
Page_67
LIMIT reached for the partition.
Query terminated

 

 b. 持久化数据查询

 

创建数据
CREATE STREAM pageviews_female AS SELECT users_original.userid AS userid, pageid, regionid, gender FROM pageviews_original LEFT JOIN users_original ON pageviews_original.userid = users_original.userid WHERE gender = 'FEMALE';

DESCRIBE pageviews_female;

 Field    | Type            
----------------------------
 ROWTIME  | BIGINT          
 ROWKEY   | VARCHAR(STRING) 
 USERID   | VARCHAR(STRING) 
 PAGEID   | VARCHAR(STRING) 
 REGIONID | VARCHAR(STRING) 
 GENDER   | VARCHAR(STRING) 

查询数据
SELECT * FROM pageviews_female;
1504252783201 | User_5 | User_5 | Page_49 | Region_8 | FEMALE
1504252783525 | User_6 | User_6 | Page_39 | Region_6 | FEMALE
1504252783813 | User_5 | User_5 | Page_15 | Region_8 | FEMALE
1504252789309 | User_6 | User_6 | Page_90 | Region_5 | FEMALE
1504252792424 | User_8 | User_8 | Page_40 | Region_1 | FEMALE
1504252796605 | User_4 | User_4 | Page_12 | Region_8 | FEMALE
1504252797405 | User_3 | User_3 | Page_22 | Region_3 | FEMALE
1504252802099 | User_6 | User_6 | Page_43 | Region_7 | FEMALE

 

5. 支持的模式

  

stream、table、like 、 join、limit、tumbling window、简单聚合函数，目前来说还是比较强大的

 

 

6. 参考资料

https://github.com/confluentinc/ksql/tree/0.1.x/docs/quickstart
https://github.com/confluentinc/ksql/blob/0.1.x/docs/quickstart/quickstart-docker.md#docker-setup-for-ksql