/*查询2小时前的数据*/
select * from tableName WHERE
create_time < DATE_SUB(NOW(), INTERVAL 2 HOUR)
SELECT
count(id)
FROM
rd_track_info
WHERE
DATE(create_time) < DATE_SUB(CURDATE(), INTERVAL 7 DAY);
SELECT
count(id)
FROM
rd_track_info
WHERE
DATE(create_time) = DATE_SUB(CURDATE(), INTERVAL 7 DAY);
SELECT
count(id)
FROM
rd_track_info
WHERE
DATE(create_time) > DATE_SUB(CURDATE(), INTERVAL 7 DAY);
/*按天统计*/
SELECT
count(id) countNum,
DATE(create_time) createTime
FROM
rd_track_info
GROUP BY
DATE(create_time)
ORDER BY
DATE(create_time) DESC;
/*按周统计*/
SELECT
count(id) countNum,
WEEK(create_time) createTime
FROM
rd_track_info
GROUP BY
WEEK(create_time)
ORDER BY
WEEK(create_time) DESC;
/*按月统计*/
SELECT
count(id) countNum,
MONTH(create_time) createTime
FROM
rd_track_info
GROUP BY
MONTH(create_time)
ORDER BY
MONTH(create_time) DESC;
/*按季度统计*/
SELECT
count(id) countNum,
QUARTER(create_time) createTime
FROM
rd_track_info
GROUP BY
QUARTER(create_time)
ORDER BY
QUARTER(create_time) DESC;
/*按年统计*/
SELECT
count(id) countNum,
YEAR(create_time) createTime
FROM
rd_track_info
GROUP BY
YEAR(create_time)
ORDER BY
YEAR(create_time) DESC;
学习:https://www.yiibai.com/mysql/mysql_date_time_functions.html
信息技术时间序列分析:一周数据统计与可视化
本文探讨了如何通过SQL查询从rd_track_info表中统计过去7天、1周、1月、1季度和1年的数据,包括按天、周、月、季度和年粒度的计数,并展示了日期函数在数据处理中的应用。通过实例学习了MySQL日期时间函数和数据可视化的方法。
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