memsql kafka集成

memsql 可以加载s3，文件系统，kafka、hdfs 系统的数据，测试使用kafka
环境使用 docker-compose 运行,新版本的需要申请license，参考链接：
https://www.cnblogs.com/rongfengliang/p/9922041.html

环境准备

docker-compose 文件

 
version: "3.7"

services:

  memsql:

    image: memsql/cluster-in-a-box

    init: true

    ports:

    - "8080:8080"

    - "3306:3306"

    environment:

    - "LICENSE_KEY=youlicense"

  zk:

    image: wurstmeister/zookeeper:3.4.6

    ports:

      - "2181:2181"

  kafka:

    image: wurstmeister/kafka:1.1.0

    ports:

      - "9092:9092"

    depends_on:

      - zk

    environment:

      KAFKA_ADVERTISED_HOST_NAME: kafka

      KAFKA_ADVERTISED_PORT: 9092

      KAFKA_ZOOKEEPER_CONNECT: zk:2181

      KAFKA_AUTO_CREATE_TOPICS_ENABLE: 'false'

      KAFKA_DELETE_TOPIC_ENABLE: 'true'

      KAFKA_BROKER_ID: 0

启动

docker-compose up -d 

测试

链接kafka 创建topic

./kafka-topics.sh --topic test --zookeeper zk:2181 --create --partitions 8 --replication-factor 1

生产者发送消息

./kafka-console-producer.sh --topic test --broker-list 127.0.0.1:9092

创建memsql数据库&&表

CREATE DATABASE quickstart_kafka;

USE quickstart_kafka;

CREATE TABLE messages (id text);

创建pipeline kafka 数据加载

CREATE PIPELINE `quickstart_kafka` AS LOAD DATA KAFKA 'kafka/test' INTO TABLE `messages`;

测试pipeline

TEST PIPELINE quickstart_kafka LIMIT 1;

启动pipeline

START PIPELINE quickstart_kafka;

发送数据

上边的kafka product console

查询数据

SELECT * FROM quickstart_kafka.messages; 

查询结果

SELECT * FROM quickstart_kafka.messages;

+--------+

| id |

+--------+

| |

| s |

| sdf |

| sd |

| sdf |

| sd |

| f |

| f |

| appo |

| sdf |

| f |

| demo |

| df |

| dalong |

| sd |

+--------+

查询pipeline 的信息

SELECT * FROM information_schema.PIPELINES_BATCHES_SUMMARY;

参考信息：

SELECT * FROM information_schema.PIPELINES_BATCHES_SUMMARY \G

*************************** 1. row ***************************

          DATABASE_NAME: quickstart_kafka

          PIPELINE_NAME: quickstart_kafka

               BATCH_ID: 4

            BATCH_STATE: Succeeded

             START_TIME: 2018-12-24 01:27:19.000000

             BATCH_TIME: 0.176132

           ROWS_PER_SEC: 17.032680035427973

          ROWS_STREAMED: 3

         NUM_PARTITIONS: 3

NUM_PARTITIONS_FINISHED: 3

            MB_STREAMED: 0.0000

             MB_PER_SEC: 0.00009651852020075853

    EXTRACTOR_WAIT_TIME: 0.0726

    TRANSFORM_WAIT_TIME: 0

*************************** 2. row ***************************

          DATABASE_NAME: quickstart_kafka

          PIPELINE_NAME: quickstart_kafka

               BATCH_ID: 2

            BATCH_STATE: Succeeded

             START_TIME: 2018-12-24 01:24:19.000000

             BATCH_TIME: 0.665859

           ROWS_PER_SEC: 1.5018194542688468

          ROWS_STREAMED: 1

         NUM_PARTITIONS: 1

NUM_PARTITIONS_FINISHED: 1

            MB_STREAMED: 0.0000
 
可视化界面查看 
open http://localhost:8080