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Optimizer Timeouts: Reason for Early Termination in a Plan

April 1, 2024
Pinal Dave
SQL Performance
Execution Plan, SQL Cache, SQL Performance, SQL Server, SQL XML

Diagnose optimizer early termination in SQL Server plans, find cached timeouts with XML, and simplify queries using measured evidence.

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The Columnstore Delta Store: Small Loads and Open Rowgroups

November 3, 2023
Pinal Dave
SQL Performance
ColumnStore Index, SQL Index, SQL Performance, SQL Server

Inspect the columnstore delta store, distinguish rowgroup states, and choose load sizes or targeted compression after small loads.

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pivotunpivot

SQL SERVER – Exploring PIVOT and UNPIVOT

October 24, 2023
Pinal Dave
SQL Tips and Tricks
PIVOT and UNPIVOT, SQL Performance

The SQL Server PIVOT and UNPIVOT operators are powerful tools that provide an easy way to transform your data in SQL.

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The Intricacies of T-SQL String Comparison: LIKE VS '='

The Intricacies of T-SQL String Comparison: LIKE VS ‘=’

October 4, 2023
Pinal Dave
SQL Performance
SQL Index, SQL Performance

Let us learn The Intricacies of T-SQL String Comparison. In SQL, the way you compare strings can greatly impact the results of your queries.

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temptable

SQL SERVER – Performance: Optimizing High Volume OR Conditions through TempTable

October 2, 2023
Pinal Dave
SQL Performance
SQL Operator, SQL Performance, Temp Table

We explore an alternative approach when dealing with high volumes of ‘OR’ conditions in our SQL queries: the use of a TempTable.

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CHARINDEX

SQL SERVER – A Comparison of CHARINDEX vs LIKE

September 26, 2023
Pinal Dave
SQL Performance
SQL Function, SQL Performance, SQL String

In this post, we’ll explore a comparison between the use of CHARINDEX and LIKE in the WHERE clause, supported by real-world statistics.

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Oversized varchar Columns and Inflated Memory Grants

September 18, 2023
Pinal Dave
SQL Performance
Execution Plan, SQL Datatype, SQL Memory, SQL Performance, SQL Server

Investigate oversized varchar declarations, compare sort memory grants, and narrow string columns safely without losing valid data.

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