SELECT DATE_FORMAT( deteline, "%Y-%m-%d %H" ) , COUNT( * )
FROM test
GROUP BY DATE_FORMAT( deteline, "%Y-%m-%d %H" )
查詢某天:
deteline, "%Y-%m-%d"
某時:
deteline, "%Y-%m-%d %H"
依次類推。
其實就是對dateline進行處理,然后再對處理后的數據分組
eg:統計每小時創建的個數
SELECT DATE_FORMAT( create_time, "%Y-%m-%d %H" ) as time , COUNT( * ) as count FROM pdca GROUP BY DATE_FORMAT( create_time, "%Y-%m-%d %H" )
from sqlalchemy import func with DBContext('w') as session: start_date = Common.get_month_and_day(day, '%Y-%m-%d 00:00:00') items = session.query(func.date_format(GitOperateLog.gol_datetime, '%Y-%m-%d'), func.count(GitOperateLog.gol_id)) \ .filter(GitOperateLog.gol_jira_project == project_name) \ .filter(GitOperateLog.gol_operate_code == GitOperateLogModel.GOL_OPERATE_CODE_MASTER_MERGE) \ .filter(GitOperateLog.gol_datetime >= start_date) \ .group_by(func.date_format(GitOperateLog.gol_datetime, '%Y-%m-%d')) \ .all() items = {i[0]: i[1] for i in items}
將時間格式化方法
func.date_format(Table.create_time, "%Y-%m-%d %H:%i:%s")
將時間戳轉化成時間
func.from_unixtime((Table.timestamp), "%Y-%m-%d %H:%i:%s")