Calculate a total for each group.
SQL Server: Group nonmissing categories and calculate separate totals.
CREATE TABLE lesson_items (
id INTEGER PRIMARY KEY,
name VARCHAR(40) NOT NULL,
category VARCHAR(20),
quantity INTEGER NOT NULL
);
INSERT INTO lesson_items (id, name, category, quantity) VALUES
(1, 'Tea', 'Drinks', 4),
(2, 'Coffee', 'Drinks', 8),
(3, 'Bread', 'Food', 2),
(4, 'Water', NULL, 0);
SELECT category, SUM(quantity) FROM lesson_items WHERE category IS NOT NULL GROUP BY category ORDER BY category;Expected output EXAMPLE
Drinks|12 Food|2
Details
Requires SQL Server 2022 or later. Run in an empty scratch database in SSMS or sqlcmd. Result rows below use | between columns, without headers; client display formatting may differ.
Run each example independently in an empty scratch database or schema; the example includes its own starting table and rows.
Tested on Ubuntu 24.04.5 LTS · · SQL Server 16.0.4295.3 · bash 5.2.21-2ubuntu4; coreutils 9.4-3ubuntu6.3; psycopg 3.2.10; pymssql 2.3.8
Test inputs, results and environment
The exact published code ran in a dedicated Linux test container with prepared inputs. Snippet process uid 65534 with a read-only root filesystem and temporary working files. Database services use a private internal Docker network without published ports. Fresh scratch schema/database for each case; test database administrator credentials are confined to these disposable services. Fixtures and output records are isolated from the application database. Testing covers this example and its stated checks, not every input, operating system, or runtime version. The Linux container shares its host's kernel; this is not a native Windows test.
- Architecture / host kernel
- x86_64 / 6.18.54.1-microsoft-standard-WSL2
- Snippet identity / locale
- uid=65534, gid=65534 (unprivileged process) / C.UTF-8
- Interpreter invocation
Execute the exact SQL in a fresh database/schema; serialize result rows with | separators- Container image ID
sha256:ec91410a8f6ec3e985830b5e3a0560306d36f8c1c5ccd91a6699abe707123fa3- Code SHA-256
d3551767366fabf536a2bf8afe86026f801f780d15a2dcb754d0b3535e966b62- Dependencies
- bash 5.2.21-2ubuntu4; coreutils 9.4-3ubuntu6.3; psycopg 3.2.10; pymssql 2.3.8
Test input setup
These are the prepared inputs used by the test harness. See Details above for the prerequisites and how to run this example.
# No input files required.
Observed standard output
Drinks|12 Food|2
Exit code: 0. Standard error: empty. Validation: Exact stdout comparison. System-dependent values above are one recorded run.