88 lines
2.7 KiB
Markdown
88 lines
2.7 KiB
Markdown
## demo4 滚动窗口
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source kafka json 数据格式
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topic flink_test_4
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{"username":"zhp","click_url":"https://www.infoq.cn/","ts":"2021-01-05 11:12:12"}
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{"username":"zhp","click_url":"https://www.infoq.cn/video/BYSSg4hGR5oZmUFsL8Kb","ts":"2020-01-05 11:12:15"}
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{"username":"zhp","click_url":"https://www.infoq.cn/talks","ts":"2020-01-05 11:12:18"}
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{"username":"zhp","click_url":"https://www.infoq.cn/","ts":"2021-01-05 11:12:55"}
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{"username":"zhp","click_url":"https://www.infoq.cn/","ts":"2021-01-05 11:13:25"}
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{"username":"zhp","click_url":"https://www.infoq.cn/talks","ts":"2021-01-05 11:13:25"}
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{"username":"zhp","click_url":"https://www.infoq.cn/talks","ts":"2021-01-05 11:13:26"}
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sink mysql 创建语句
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```sql
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CREATE TABLE `sync_test_tumble_output` (
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`id` bigint(11) NOT NULL AUTO_INCREMENT,
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`window_start` datetime DEFAULT NULL,
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`window_end` datetime DEFAULT NULL,
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`username` varchar(255) DEFAULT NULL,
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`clicks` bigint(255) DEFAULT NULL,
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PRIMARY KEY (`id`)
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) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4;
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```
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配置语句
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```sql
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-- -- 开启 mini-batch 指定是否启用小批量优化 （相关配置说明 https://ci.apache.org/projects/flink/flink-docs-release-1.12/zh/dev/table/config.html）
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SET table.exec.mini-batch.enabled=true;
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-- -- mini-batch的时间间隔，即作业需要额外忍受的延迟
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SET table.exec.mini-batch.allow-latency=60s;
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-- -- 一个 mini-batch 中允许最多缓存的数据
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SET table.exec.mini-batch.size=5;
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create table user_clicks (
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username varchar,
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click_url varchar,
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ts timestamp,
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-- ts BIGINT,
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-- ts2 AS TO_TIMESTAMP(FROM_UNIXTIME(ts / 1000, 'yyyy-MM-dd HH:mm:ss')),
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WATERMARK FOR ts AS ts - INTERVAL '20' SECOND
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)
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with (
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'connector' = 'kafka',
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'topic' = 'flink_test_4',
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'properties.bootstrap.servers' = '172.25.20.76:9092',
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'properties.group.id' = 'flink_gp_test4',
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'scan.startup.mode' = 'earliest-offset',
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'format' = 'json',
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'json.fail-on-missing-field' = 'false',
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'json.ignore-parse-errors' = 'true',
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'properties.zookeeper.connect' = '172.25.20.76:2181/kafka'
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);
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CREATE TABLE sync_test_tumble_output (
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window_start TIMESTAMP(3),
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window_end TIMESTAMP(3),
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username VARCHAR,
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clicks BIGINT
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) WITH (
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'connector' = 'jdbc',
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'url' = 'jdbc:mysql://172.25.21.10:3306/flink_web?characterEncoding=UTF-8',
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'table-name' = 'sync_test_tumble_output',
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'username' = 'videoweb',
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'password' = 'suntek'
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);
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INSERT INTO sync_test_tumble_output
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SELECT
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TUMBLE_START(ts, INTERVAL '60' SECOND) as window_start,
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TUMBLE_END(ts, INTERVAL '60' SECOND) as window_end,
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username,
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COUNT(click_url)
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FROM user_clicks
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GROUP BY TUMBLE(ts, INTERVAL '60' SECOND), username;
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```
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