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STRING_SPLIT() in SQL Server 2016 : Follow-Up #1

 Posted by Aaron Bertrand on April 19, 2016  No Responses »
Apr 192016
 

Aaron Bertrand (@AaronBertrand) follows up on a recent post about the performance of STRING_SPLIT() with a few additional reader-motivated tests.

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 Tagged with: CLR, JSON, splitting strings, SQL Server 2016, string splitting, STRING_SPLIT

Getting Started Tuning Performance in Azure SQL Database

 Posted by Tim Radney on March 29, 2016  3 Responses »
Mar 292016
 

Tim Radney (@tradney) of SQLskills talks about the initial differences he has encountered while mastering the art of performance tuning Azure SQL Database.

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 Tagged with: azure sql database, tuning

Knee-Jerk Wait Statistics : PAGELATCH

 Posted by Paul Randal on October 19, 2015  4 Responses »
Oct 192015
 

Paul Randal (@PaulRandal) adds another chapter to his thorough series on knee-jerk wait statistics, focusing on the often-misunderstood PAGELATCH_XX waits.

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 Tagged with: pagelatch_ex, pagelatch_sh, pagelatch_up, wait statistics

Proactive SQL Server Health Checks, Part 5 : Wait Statistics

 Posted by Erin Stellato on October 1, 2015  1 Response »
Oct 012015
 

Erin Stellato (@erinstellato) continues her popular series on proactively monitoring SQL Server, this time focusing on keeping your eye on wait statistics.

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 Tagged with: performance advisor

More on CXPACKET Waits: Skewed Parallelism

 Posted by Paul Randal on August 26, 2015  2 Responses »
Aug 262015
 

Paul Randal (@PaulRandal) explains how to tell when CXPACKET waits are actually a problem (because, usually, they are just an indication of parallelism).

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 Tagged with: cxpacket

Knee-Jerk Wait Statistics : CXPACKET

 Posted by Paul Randal on June 23, 2015  8 Responses »
Jun 232015
 

With another entry in his knee-jerk series on wait statistics, Paul Randal (@PaulRandal) explains CXPACKET and why it may or may not be a problem.

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 Tagged with: cxpacket, parallelism, wait statistics

Monitoring Read/Write Latency

 Posted by Tim Radney on March 5, 2015  No Responses »
Mar 052015
 

Tim Radney (@tradney) of SQLskills.com shows us how we can be proactive in monitoring our I/O subsystems for read/write latency that can affect SQL Server performance.

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 Tagged with: I/O, I/O latency, wait statistics
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