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IN in SQL Server - Examples & AI Generator
IN in SQL Server - Examples & AI Generator
The IN operator in SQL Server helps you filter data that matches any value from a given list. While the SQL Server IN syntax is straightforward, remembering exact formats for different business cases—or switching between database flavors—can slow you down. AI2sql skips hand-coding: generate correct IN SQL Server queries from natural language in 10 seconds—no coding required, no syntax errors.
IN Syntax in SQL Server
Basic Syntax
IN checks if the column's value matches any listed value.
Use with numbers, text, or even subqueries.
SQL Server-Specific Notes
String values require single quotes:
'value'
Supports subqueries inside IN for dynamic lists.
IN Examples You Can Generate Instantly
Find customers from specific cities:
Retrieve all orders with statuses 'Shipped' or 'Pending':
Identify products in selected categories:
Generate IN queries in 10 seconds with AI2sql
Why Use AI2sql Instead of Manual IN Coding
Fast: No need to hunt for correct SQL Server IN syntax—AI2sql creates ready-to-run queries instantly.
Accurate: Handles different value types and subqueries, minimizing mistakes.
Beginner-Friendly: Natural language interface with zero coding required.
Proven: Trusted by 50,000+ users across 80+ countries for their query generation needs.
Switching between databases or just starting with SQL Server IN functions? Try AI2sql Generator or Learn IN for a deeper dive.
FAQ: IN in SQL Server
Can I use IN with subqueries in SQL Server?
Yes, SQL Server lets you use a subquery inside the IN operator to filter dynamically based on another table.
Is IN faster than multiple OR conditions?
IN is often more concise and, for most scenarios, is optimized the same way as multiple OR conditions by the SQL Server query engine.
What data types can I use with IN?
You can use numeric, string, and even date values in the IN list—as long as they match the column's type.
Don’t waste time on syntax recall. Generate your first SQL Server IN query in seconds—no manual edits, just results. Generate Your First Query Now.
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