smithery.ai

tsql-functions

Complete T-SQL function reference for SQL Server and Azure SQL Database. PROACTIVELY activate for: (1) string functions (CONCAT_WS, STRING_SPLIT, STRING_AGG, TRIM, REPLACE, LEFT/RIGHT/SUBSTRING), (2) date/time functions (DATEADD, DATEDIFF, FORMAT, DATETRUNC, AT TIME ZONE), (3) math and conversion functions (CAST, CONVERT, TRY_CAST, ROUND, FLOOR, CEILING), (4) window/ranking functions (ROW_NUMBER, RANK, LEAD/LAG, FIRST_VALUE, LAST_VALUE, NTILE), (5) JSON functions (JSON_VALUE, JSON_QUERY, JSON_M…

First seen Apr 4, 2026

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Package contents

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  • skill md SKILL.md 5,207 B
  • docs SUMMARY.md 377 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

T-SQL Functions Reference

Complete reference for all T-SQL function categories with version-specific availability.

Quick Reference

String Functions

Function Description Version
CONCAT(str1, str2, ...) NULL-safe concatenation 2012+
CONCAT_WS(sep, str1, ...) Concatenate with separator 2017+
STRING_AGG(expr, sep) Aggregate strings 2017+
STRING_SPLIT(str, sep) Split to rows 2016+
STRING_SPLIT(str, sep, 1) With ordinal column 2022+
TRIM([chars FROM] str) Remove leading/trailing 2017+
TRANSLATE(str, from, to) Character replacement 2017+
FORMAT(value, format) .NET format strings 2012+

Date/Time Functions

Function Description Version
DATEADD(part, n, date) Add interval All
DATEDIFF(part, start, end) Difference (int) All
DATEDIFF_BIG(part, s, e) Difference (bigint) 2016+
EOMONTH(date, [offset]) Last day of month 2012+
DATETRUNC(part, date) Truncate to precision 2022+
DATE_BUCKET(part, n, date) Group into buckets 2022+
AT TIME ZONE 'tz' Timezone conversion 2016+

Window Functions

Function Description Version
ROW_NUMBER() Sequential unique numbers 2005+
RANK() Rank with gaps for ties 2005+
DENSE_RANK() Rank without gaps 2005+
NTILE(n) Distribute into n groups 2005+
LAG(col, n, default) Previous row value 2012+
LEAD(col, n, default) Next row value 2012+
FIRST_VALUE(col) First in window 2012+
LAST_VALUE(col) Last in window 2012+
IGNORE NULLS Skip NULLs in offset funcs 2022+

SQL Server 2022 New Functions

Function Description
GREATEST(v1, v2, ...) Maximum of values
LEAST(v1, v2, ...) Minimum of values
DATETRUNC(part, date) Truncate date
GENERATE_SERIES(start, stop, [step]) Number sequence
JSON_OBJECT('key': val) Create JSON object
JSON_ARRAY(v1, v2, ...) Create JSON array
JSONPATHEXISTS(json, path) Check path exists
IS [NOT] DISTINCT FROM NULL-safe comparison

Core Patterns

String Manipulation

-- Concatenate with separator (NULL-safe)
SELECT CONCAT_WS(', ', FirstName, MiddleName, LastName) AS FullName

-- Split string to rows with ordinal
SELECT value, ordinal
FROM STRING_SPLIT('apple,banana,cherry', ',', 1)

-- Aggregate strings with ordering
SELECT DeptID,
       STRING_AGG(EmployeeName, ', ') WITHIN GROUP (ORDER BY HireDate)
FROM Employees
GROUP BY DeptID

Date Operations

-- Truncate to first of month
SELECT DATETRUNC(month, OrderDate) AS MonthStart

-- Group by week buckets
SELECT DATE_BUCKET(week, 1, OrderDate) AS WeekBucket,
       COUNT(*) AS OrderCount
FROM Orders
GROUP BY DATE_BUCKET(week, 1, OrderDate)

-- Generate date series
SELECT CAST(value AS date) AS Date
FROM GENERATE_SERIES(
    CAST('2024-01-01' AS date),
    CAST('2024-12-31' AS date),
    1
)

Window Functions

-- Running total with partitioning
SELECT OrderID, CustomerID, Amount,
       SUM(Amount) OVER (
           PARTITION BY CustomerID
           ORDER BY OrderDate
           ROWS UNBOUNDED PRECEDING
       ) AS RunningTotal
FROM Orders

-- Get previous non-NULL value (SQL 2022+)
SELECT Date, Value,
       LAST_VALUE(Value) IGNORE NULLS OVER (
           ORDER BY Date
           ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING
       ) AS PreviousNonNull
FROM Measurements

JSON Operations

-- Extract scalar value
SELECT JSON_VALUE(JsonColumn, '$.customer.name') AS CustomerName

-- Parse JSON array to rows
SELECT j.ProductID, j.Quantity
FROM Orders
CROSS APPLY OPENJSON(OrderDetails)
WITH (
    ProductID INT '$.productId',
    Quantity INT '$.qty'
) AS j

-- Build JSON object (SQL 2022+)
SELECT JSON_OBJECT('id': CustomerID, 'name': CustomerName) AS CustomerJson
FROM Customers

Additional References

For deeper coverage of specific function categories, see:

  • references/string-functions.md - Complete string function reference with examples
  • references/window-functions.md - Window and ranking functions with frame specifications