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Cast the datetime to a date, then GROUP BY using this syntax: SELECT SUM(foo), DATE(mydate) FROM a_table GROUP BY DATE(a_table.mydate); Or you can GROUP BY the alias as @orlandu63 suggested: SELECT SUM(foo), DATE(mydate) DateOnly FROM a_table GROUP BY DateOnly;
5 wrz 2013 · I have a DATETIME COLUMN but i want to group it only by date. Here my SQL Statement: SELECT (u.FirstName + ' ' + u.LastName) AS [FullName],d.user_id,CONVERT(varchar,d.log_date,101) AS log_date, min(d.login_time) as LOG_IN, max(d.logout_time) as LOG_OUT, sum(d.totaltime) as TOTHrs.
The GROUP BY statement is often used with aggregate functions (COUNT(), MAX(), MIN(), SUM(), AVG()) to group the result-set by one or more columns.
20 sie 2020 · In this article, we’ll demonstrate how you can use the GROUP BY clause in practice. We’ve gathered five GROUP BY examples, from easier to more complex ones so you can see data grouping in a real-life scenario. As a bonus, you’ll also learn a bit about aggregate functions and the HAVING clause.
In SQL-Server 2012 version, looks straightforward with the LAG() function: SELECT Action, Number = COUNT(*) FROM ( SELECT Action, Diff = DATEDIFF(day, LAG(Date) OVER (PARTITION BY Action ORDER BY Date), Date) FROM a ) AS t WHERE Diff > 3 OR Diff IS NULL GROUP BY Action ;
5 lis 2023 · Grouping by dates allows you to: Aggregate data across multiple records into summary rows. Analyze trends by year, month, day etc. Identify seasonal patterns based on time periods. Compare time-based KPIs like revenue per day. Build reports and dashboards grouped by dates.
Discover how to group your SQL Server data by various time intervals, such as minute, hour, day, week, month, or year, by utilizing the DATEPART and DATENAME functions. This enables effective aggregation and analysis of your data based on different time granularities.
