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Time Ago Labels: Showing ‘5 Minutes Ago’ From a Timestamp

October 6, 2012
Pinal Dave
SQL Tips and Tricks
Best Practices, SQL Performance, SQL Server

Learn time ago labels in SQL Server with practical examples, clear checks, common traps, and guidance for your own database.

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Renaming a Column Safely Everywhere It Is Used

October 1, 2012
Pinal Dave
SQL Tips and Tricks
Best Practices, SQL Column, SQL Server, SQL Stored Procedure, SQL View

Renaming a column safely requires finding SQL and application references, applying sp_rename, refreshing modules, and testing every consumer.

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When One Number Has Three Different Answers

September 16, 2012
Pinal Dave
SQL Tips and Tricks
Best Practices, Database, SQL Scripts, SQL Server

Diagnose reporting inconsistency by matching filters, refresh cutoffs, and row grain before comparing totals from different reports.

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How to Evaluate a New Database Without Fooling Yourself

September 2, 2012
Pinal Dave
SQL Tips and Tricks
Best Practices, Database, SQL Scripts, SQL Server

Use realistic data and workload tests to evaluate a database, checking correctness, latency, recovery, compatibility, and the full operating cost.

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What to Collect When SQL Server Is Slow

August 26, 2012
Pinal Dave
SQL Performance
Best Practices, Database, SQL Scripts, SQL Server

Collect SQL Server diagnostic data in a useful order: waits, active requests, blockers, execution plans, and file IO during the slow period.

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What Is a Primary Key, and What Happens Without One?

August 14, 2012
Pinal Dave
SQL Tips and Tricks
Best Practices, Database, SQL Index, SQL Server

A primary key is the promise that every row can be told apart. Why NULL is refused, what a table without one actually costs you, how it differs from a unique constraint, and when to choose a natural key over a made up one.

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What Distributed SQL Means and What It Costs

August 1, 2012
Pinal Dave
SQL Tips and Tricks
Best Practices, Database, SQL Scripts, SQL Server

Understand distributed SQL through data placement, compute and storage roles, write coordination, and the latency and operating costs behind scale.

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