2020-09-22
908 reads
GROUP BY
2018-03-27
1,347 reads
2017-12-12
1,096 reads
2016-03-24
1,709 reads
SQL GROUP BY Basics
It sometimes pays to go back and look at what you think you already know about SQL. Joe Celko gives a quick revision of the GROUP BY and HAVING clauses in SQL that are the bedrock of any sort of analysis of data, and comes up with some nuggets that may not be entirely obvious.
2016-03-08
6,672 reads
Using the ROLLUP, CUBE, and GROUPING SETS Operators
Greg Larsen discusses the ROLLUP, CUBE and GROUPING SETS operators. These operators are used with the GROUP BY clause and allow you to create subtotals, grand totals and superset of subtotals. Read on to find out more about these additional GROUP BY operators.
2015-03-18
11,340 reads
Using SQL Server's GROUP BY clause to Summarize your Data
SQL Server’s GROUP BY clause provides you a way to aggregate your SQL Server data and to group data on a single column, multiple columns, or even expressions. Greg Larsen discusses how to use the GROUP by clause to summarize your data.
2015-02-11
12,133 reads
Aggregrating varchar columns
Concatenate columns grouping on Index column (approach for summing varchar columns by grouping on index)
2016-05-12 (first published: 2009-09-13)
1,560 reads
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Fun with JSON II
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Question of the Day
Fun with JSON II
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers