Using the Query Editor to Execute Queries in SQL Server 2025

The Query Editor is the primary interface in SQL Server Management Studio 22 for writing, executing, and analyzing T-SQL statements against SQL Server 2025 instances. It replaces the legacy Query Analyzer tool that was a separate application in SQL Server 2000 and earlier — since SQL Server 2005, query editing has been integrated directly into SSMS as the Query Editor window. This lesson covers how to open the Query Editor, write and execute T-SQL, interpret results and messages, work with execution plans, and use the SSMS 22 enhancements that improve query development productivity in a SQL Server 2025 environment.

What Is the Query Editor?

The Query Editor is a text editor integrated into SSMS 22 that provides a context-aware environment for T-SQL development. T-SQL (Transact-SQL) is Microsoft's dialect of the SQL standard — it extends ANSI/ISO SQL with procedural programming constructs, error handling, transaction management, and SQL Server-specific functions. T-SQL is the native language of SQL Server and is the language used throughout this course for all database creation, data manipulation, and administrative scripting.

The Query Editor supports four categories of SQL Server query languages:

• T-SQL — the primary language for relational database operations against the SQL Server Database Engine: SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP, and all stored procedure, trigger, and function code
• MDX (Multidimensional Expressions) — used for queries against Analysis Services multidimensional cube models
• DMX (Data Mining Extensions) — used for data mining model queries against Analysis Services
• XML/A — used for administrative operations against Analysis Services instances

For this course, all Query Editor work uses T-SQL against the SQL Server 2025 Database Engine. The Query Editor window opened from Object Explorer automatically inherits the connection context of the selected server and database.

Opening a Query Editor Window

Three methods open a new Query Editor window in SSMS 22:

1. Click the New Query button in the SSMS toolbar — the Query Editor opens connected to the server currently selected in Object Explorer
2. Right-click a database in Object Explorer and select New Query — the Query Editor opens with that database set as the active database context
3. Use the keyboard shortcut Ctrl+N — opens a new Query Editor window using the current connection

The active database context is displayed in the database dropdown on the SQL Editor toolbar at the top of the SSMS window. Always verify the database context before executing a query — a statement executed against the wrong database produces unexpected results or errors. Use the USE statement at the beginning of scripts to set the database context explicitly rather than relying on the toolbar dropdown:

USE TimesheetDB;
GO

The Query Editor Interface

The Query Editor window is divided into three functional areas:

• Script pane (top): The text editing area where T-SQL is written. It provides syntax highlighting with distinct colors for keywords, string literals, comments, and identifiers; IntelliSense code completion for table names, column names, T-SQL keywords, and stored procedure parameters; and error underlining for syntax errors detected before execution.
• Results pane (bottom left): Displays query output as a tabular grid when results are returned. Multiple result sets from a single script batch are displayed as separate grids stacked vertically. In SSMS 22, the results grid includes zoom controls and a JSON viewer that opens when a JSON-typed cell is clicked — useful for SQL Server 2025 FOR JSON output.
• Messages pane (bottom right): Displays execution status messages, row counts, warnings, and error messages. A successful execution shows the number of rows affected. An error shows the error number, severity, state, line number, and error message text.

Toggle between Results and Messages pane visibility using Ctrl+R.

Executing Your First Query Against the Course Project Database

The following example demonstrates the complete Query Editor workflow using the course project TimesheetDB database and the Employees table created in Lesson 7:

-- Step 1: Set the database context
USE TimesheetDB;
GO

-- Step 2: Query all employees ordered by name
SELECT Employee_ID,
       Full_Name,
       Department_Code,
       Hourly_Rate
FROM   Employees
ORDER BY Full_Name;
GO

To execute this script:

1. Paste or type the script into the Query Editor script pane
2. Press F5 or click the Execute button in the toolbar — alternatively use Ctrl+E
3. The Results pane displays the returned rows. The Messages pane shows the row count — for example (3 rows affected)
4. To execute only part of a script, select the specific lines before pressing F5 — SSMS executes only the selected text

T-SQL Statement Categories

The Query Editor supports the full T-SQL statement set. For this course the most frequently used categories are:

Practical T-SQL Examples Against the Course Project

The following examples demonstrate common Query Editor operations using the TimesheetDB schema:

-- INSERT: Add employees to the Employees table
USE TimesheetDB;
GO

INSERT INTO Employees (Employee_ID, Full_Name, Department_Code, Hourly_Rate)
VALUES (1, 'Sarah Mitchell',  'DEVL', 95.00),
       (2, 'James Thornton',  'MGMT', 120.00),
       (3, 'Priya Venkatesh', 'DEVL', 88.50);
GO

-- SELECT: Retrieve all developers ordered by hourly rate descending
SELECT Employee_ID, Full_Name, Hourly_Rate
FROM   Employees
WHERE  Department_Code = 'DEVL'
ORDER BY Hourly_Rate DESC;
GO

-- UPDATE: Apply a rate increase for management employees
UPDATE Employees
SET    Hourly_Rate = Hourly_Rate * 1.05
WHERE  Department_Code = 'MGMT';
GO

-- Verify the update
SELECT Employee_ID, Full_Name, Department_Code, Hourly_Rate
FROM   Employees;
GO

Query Editor Keyboard Shortcuts

Proficiency with Query Editor keyboard shortcuts significantly reduces development time. The most important shortcuts in SSMS 22:

Reading Execution Plans

An execution plan is a graphical representation of how SQL Server 2025's query optimizer chose to retrieve the requested data. Reading execution plans is the most important skill for query performance tuning. Press Ctrl+L before executing to see the estimated plan, or press Ctrl+M then F5 to capture the actual plan after execution.

Execution plan operators are displayed as icons connected by arrows showing the data flow from right to left — the rightmost operators access the data and the leftmost operator returns the final result to the client. The width of each arrow represents the relative number of rows flowing between operators. Key operators to recognize:

• Table Scan / Clustered Index Scan: Reads every row in the table. Appears when no suitable index exists for the WHERE clause predicates. A scan on a large table is the most common cause of slow queries.
• Index Seek: Uses an index to locate only the rows matching the WHERE clause. The preferred operator for filtered queries on large tables — significantly faster than a scan.
• Key Lookup: Retrieves columns not included in a non-clustered index by performing a secondary lookup into the clustered index. Frequent Key Lookups indicate that the index should include additional columns to eliminate the secondary lookup.
• Hash Match / Nested Loops / Merge Join: The three join algorithms SQL Server uses to combine rows from multiple tables. Nested Loops is efficient for small row sets; Hash Match handles large unsorted joins; Merge Join requires sorted input but is efficient for large sorted result sets.

A green Missing Index hint in the execution plan suggests an index that SQL Server estimates would reduce the query cost. Right-click the hint to script the suggested CREATE INDEX statement directly from the execution plan.

SSMS 22 Query Editor Enhancements for SQL Server 2025

SSMS 22 introduces several Query Editor improvements specifically relevant to SQL Server 2025 development:

• JSON viewer: Clicking a JSON-typed column value in the results grid opens a formatted JSON viewer panel. This makes working with FOR JSON AUTO and FOR JSON PATH output significantly more readable than the flat string representation in earlier SSMS versions.
• Vector data type support: The Query Editor correctly handles VECTOR column syntax and VECTOR_DISTANCE function calls introduced in SQL Server 2025, with IntelliSense completions for both.
• GitHub Copilot integration (preview): Type a T-SQL comment describing the query you need and Copilot suggests an implementation. For example, typing -- Find the top 5 employees by total hours logged this month may generate a complete T-SQL query joining Employees and Timesheets with the appropriate aggregation and filter.
• Query hints recommendations: SSMS 22 can suggest query hints for parameterized queries affected by parameter sniffing issues — a common performance problem in SQL Server environments with highly variable parameter values.
• Dark mode and vertical tabs: The Visual Studio 2022-based shell provides a dark theme and vertical tab layout option, reducing eye strain during extended development sessions.

Using the Query Editor with SQL Server 2025 Features

SQL Server 2025 introduces T-SQL enhancements that are fully supported in the SSMS 22 Query Editor. Two examples relevant to this course:

-- REGEXP: Pattern matching introduced in SQL Server 2025
-- Find employees whose names start with 'S' or 'J' using native REGEXP
SELECT Employee_ID, Full_Name
FROM   Employees
WHERE  Full_Name REGEXP '^[SJ]';
GO

-- FOR JSON PATH: Return query results as JSON for API consumption
SELECT Employee_ID AS id,
       Full_Name   AS name,
       Hourly_Rate AS rate
FROM   Employees
FOR JSON PATH, ROOT('employees');
GO

Summary

The Query Editor in SSMS 22 replaces the legacy Query Analyzer and provides the primary interface for writing, executing, and analyzing T-SQL against SQL Server 2025. Open it with New Query or Ctrl+N, set the database context with USE DatabaseName, and execute with F5. The Results pane displays returned rows; the Messages pane displays execution status, row counts, and error details. Execution plans — accessed with Ctrl+L for estimated or Ctrl+M plus F5 for actual — are the primary tool for identifying query performance problems. SSMS 22 adds JSON viewer support, vector data type IntelliSense, GitHub Copilot query suggestions, and query hints recommendations specifically for SQL Server 2025 development. The next lesson covers the SQL Server 2025 architecture in detail.