数据开发

DROP TABLE IF EXISTS input_web_record;
CREATE TABLE `input_web_record` (
   `record_type`    INT,
   `user_id`        INT,
   `client_ip`      VARCHAR,
   `product_id`     INT,
   `create_time`    TIMESTAMP,
   `times`          AS create_time,
   WATERMARK FOR times AS times - INTERVAL '1' MINUTE
) WITH (
   'connector' = 'kafka',        -- 可以选择 'kafka'、'kafka-0.11'。 注意选择对应的内置 Connector
   'topic' = 'uvpv-demo112',         -- Kafka Topic 名称
   'scan.startup.mode' = ' earliest-offset',
   'properties.bootstrap.servers' = '192.168.100.16:9092,192.168.100.17:9092,192.168.100.18:9092',   -- Kafka broker 地址
   'properties.group.id' = 'record',  -- 必选参数, 一定要指定 Group ID；无需提前创建，您可以在此处自定义
   'format' = 'json',
   'json.ignore-parse-errors' = 'true',       -- 忽略 JSON 结构解析异常
   'json.fail-on-missing-field' = 'false'     -- 如果设置为 true, 则遇到缺失字段会报错 设置为 false 则缺失字段设置为 null
);

-- UV sink
DROP TABLE IF EXISTS output_uv;
CREATE TABLE `output_uv` (
`userids`          STRING,
`uv`               BIGINT,
`create_time`      TIMESTAMP(3)
) WITH (
'connector' = 'clickhouse',
   'url' = 'jdbc:clickhouse://139.198.106.31:65193/pk', -- 可配置集群地址，写入时随机选择连接写入，不会一直使用一个连接写入
   'table-name' = 'output_uv',
   'username' = 'default',
   'password' = 'JR29uF39LqX3LrG',
   'format' = 'json'
);

-- PV sink
DROP TABLE IF EXISTS output_pv;
CREATE TABLE `output_pv` (
`pagevisits`       STRING,
`product_id`       STRING,
`pv`               BIGINT,
`stt`              TIMESTAMP(3),
`edt`              TIMESTAMP(3)
) WITH (
'connector' = 'clickhouse',
   'url' = 'jdbc:clickhouse://139.198.106.31:65193/pk', -- 可配置集群地址，写入时随机选择连接写入，不会一直使用一个连接写入
   'table-name' = 'output_pv',
   'username' = 'default',
   'password' = 'JR29uF39LqX3LrG',
   'format' = 'json'
);

-- 转化率 sink
DROP TABLE IF EXISTS output_conversion_rate;
CREATE TABLE `output_conversion_rate` (
`conversion_rate`  STRING,
`rate`             STRING,
`create_time`      TIMESTAMP(3)
) WITH (
'connector' = 'clickhouse',
   'url' = 'jdbc:clickhouse://139.198.106.31:65193/pk', -- 可配置集群地址，写入时随机选择连接写入，不会一直使用一个连接写入
   'table-name' = 'output_conversion_rate',
   'username' = 'default',
   'password' = 'JR29uF39LqX3LrG',
   'format' = 'json'
);

-- 加工得到 UV 指标，统计所有时间内的 UV
INSERT INTO output_uv
SELECT
'userids'                AS `userids`,
COUNT(distinct user_id)  AS uv,
TO_TIMESTAMP(FROM_UNIXTIME(UNIX_TIMESTAMP(),'yyyy-MM-dd HH:mm:ss')) AS create_time
FROM input_web_record
GROUP BY user_id;

-- 加工并得到 PV 指标，统计每 10 分钟内的 PV
INSERT INTO output_pv
SELECT
'pagevisits'               AS `pagevisits`,
CAST(product_id AS string) AS product_id,
COUNT(product_id) AS pv,
TUMBLE_START(times, INTERVAL '10' MINUTE) as `stt`,
TUMBLE_END(times, INTERVAL '10' MINUTE) as `edt`
FROM input_web_record WHERE record_type = 0
GROUP BY
TUMBLE(times, INTERVAL '10' MINUTE),
product_id,
user_id;

-- 加工并得到转化率指标，统计每 10 分钟内的转化率
INSERT INTO output_conversion_rate
SELECT
'conversion_rate' AS `conversion_rate`,
CAST( (((SELECT COUNT(1) FROM input_web_record WHERE record_type=0)*1.0)/SUM(a.product_id)) as string),
TO_TIMESTAMP(FROM_UNIXTIME(UNIX_TIMESTAMP(),'yyyy-MM-dd HH:mm:ss')) AS create_time
FROM (SELECT * FROM input_web_record where record_type = 1) AS a
GROUP BY
TUMBLE(times, INTERVAL '10' MINUTE),
product_id;