Category Archives for "Performance Tuning"

Dec 14

Rx for Demystifying Index Tuning Decisions – Part 8

By Jeffry Schwartz | Missing Indexes , Performance Tuning , Query Tuning , SQL Administration , SQL Development , SQL Server

Review Due to the holiday week, this part will be shorter than usual. In Parts 1 through 7 of this blog series the author discussed various aspects of SQL Server indices such as: Types of indices and their variations, e.g., clustered, nonclustered, filtered, and covering Physical versus logical index access methods, e.g., seeks, scans, key/RID lookups, […]

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Dec 07

Rx for Demystifying Index Tuning Decisions – Part 7

By Jeffry Schwartz | Missing Indexes , Performance Tuning , Query Tuning , SQL Administration , SQL Development , SQL Server

Review In Parts 1 through 6 of this blog series the author discussed various aspects of SQL Server indices such as: Types of indices and their variations, e.g., clustered, nonclustered, filtered, and covering Physical versus logical index access methods, e.g., seeks, scans, key/RID lookups, singleton lookups, and range scans Why index tuning should begin with […]

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Nov 30

Rx for Demystifying Index Tuning Decisions – Part 6

By Jeffry Schwartz | Indexes , Missing Indexes , Performance Tuning , Query Tuning , SQL Development , SQL Server

Review In Parts 1 through 5 of this blog series the author discussed various aspects of SQL Server indices such as: Types of indices and their variations, e.g., clustered, nonclustered, filtered, and covering Physical versus logical index access methods, e.g., seeks, scans, key/RID lookups, singleton lookups, and range scans Why index tuning should begin with […]

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Nov 30

Rx for Demystifying Index Tuning Decisions – Part 5

By Jeffry Schwartz | Missing Indexes , Performance Tuning , Query Tuning , SQL Development , SQL Server

Review Due to the holiday week, this part will be shorter than usual. In Parts 1 through 4 of this blog series the author discussed various aspects of SQL Server indices such as: Types of indices and their variations, e.g., clustered, nonclustered, filtered, and covering Physical versus logical index access methods, e.g., seeks, scans, key/RID […]

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Nov 16

Rx for Demystifying Index Tuning Decisions – Part 4

By Jeffry Schwartz | Missing Indexes , Performance Tuning , Query Tuning , SQL Administration , SQL Server

Review In Parts 1 through 3 of this blog series the author discussed various aspects of SQL Server indices such as: Types of indices and their variations, e.g., clustered, nonclustered, filtered, and covering Physical versus logical index access methods, e.g., seeks, scans, key/RID lookups, singleton lookups, and range scans Why index tuning should begin with […]

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Nov 09

Rx for Demystifying Index Tuning Decisions – Part 3

By Jeffry Schwartz | Installation , Missing Indexes , Performance Tuning , Query Tuning , SQL Development , SQL Server

Review In Parts 1 and 2 of this blog series the author discussed various aspects of SQL Server indices such as: Types of indices and their variations, e.g., clustered, nonclustered, filtered, and covering Physical versus logical index access methods, e.g., seeks, scans, key/RID lookups, singleton lookups, and range scans Why index tuning should begin with […]

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Nov 02

Rx for Demystifying Index Tuning Decisions – Part 2

By Jeffry Schwartz | Expert , Missing Indexes , Performance Tuning , Query Tuning , SQL Development , SQL Server

Review In Part 1 of this blog series the author discussed various aspects of SQL Server indices such as: Types of indices and their variations, e.g., clustered, nonclustered, filtered, and covering Physical versus logical index access methods, e.g., seeks, scans, key/RID lookups, singleton lookups, and range scans Why index tuning should begin with queries Determining […]

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Oct 26

Rx for Demystifying Index Tuning Decisions – Part 1

By Jeffry Schwartz | Expert , Missing Indexes , Performance Tuning , Query Tuning , SQL Administration , SQL Development , SQL Server

Overview Indices are one of the most troubling and mysterious areas for DBAs and developers. Most understand that adding a badly needed index can yield dramatic query performance improvements, but how does one know what is needed? Many believe more indices are better, regardless of the number. Most fear deleting ANY existing indices, even when […]

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