SQL Performance

MARCH 22, 2022

This series doesn’t dwell too long on the basics but concentrates on less well-known aspects likely to trip up even the most experienced database professionals. When SQL Server 2005 introduced Forced Parameterization , the existing auto-parameterization feature was renamed to Simple Parameterization. Simple Parameterization.

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Cache Servers Database Code 61

SQL Performance

SEPTEMBER 29, 2021

In SQL Server 2005, I started using schemas to hold shadow copies of tables I simply transferred around using the same shell game technique, which I wrote about in these two posts: Trick Shots: Schema Switch-a-Roo. First, we’ll create two new databases: CREATE DATABASE NewWay ; CREATE DATABASE OldWay ; GO.

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Servers Games Database Processing 55

SQL Performance

FEBRUARY 22, 2021

The system table sys.sysprocesses was replaced way back in SQL Server 2005 by a set of dynamic management views (DMVs), most notably sys.dm_exec_requests , sys.dm_exec_sessions , and sys.dm_exec_connections. I would like to share a couple of recent examples that help illustrate how using deprecated SQL Server features continues to bite us.

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Latency Servers Monitoring Systems 57

SQL Performance

MARCH 30, 2021

I used the public Stack Overflow 2013 database ( download details ). The fundamentals of row mode parallel execution haven’t changed since SQL Server 2005, so the following discussion is broadly applicable. At this point, only the original thread processing the current request exists. It can be downloaded at the same link.

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Cache Servers Operating System Processing 98

All Things Distributed

AUGUST 17, 2011

But while this blog happily runs out of S3, the process of creating and updating the content still required a server to run my Moveable Type installation and hold the database. I have regenerated all pages since 2005, the pages before that can be found in the "/historical" section. Amazon DynamoDB â?? Expanding the Cloud â??

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Servers Social Media AWS Website 126

SQL Server According to Bob

JUNE 3, 2016

The new column store engine and query processing technology could increase query performance up to 100X and the new In-memory OLTP engine can process 1.25million batches/sec on a single 4 socket server, which is more than 3X of SQL 2014. “ – Rohan Kumar, Director of SQL Software Engineering.

Hardware 40

Hardware Software Engineering Transportation Scalability 40

Brendan Gregg

NOVEMBER 29, 2017

It's amazing to recall that it was even possible to virtualize x86 before processors had hardware-assisted virtualization (Intel VT-x and AMD-V), which were added in 2005 and 2006. AWS EC2 uses a different image type and boot process for PV and HVM, as described on the [Linux AMI Virtualization Types] page. The first was c3.

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Virtualization AWS Hardware Storage 111

SQL Performance

AUGUST 12, 2020

In my examples I’ll use a sample database called TSQLV5. So it could be that the term originated in one of the database products and later adopted by some of the other database vendors. So it could be that the term originated in one of the database products and later adopted by some of the other database vendors.

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C++ Code Design Database 140

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. CSA ISO/IEC 9945-1:2005 (R2009) 3.375 Synchronized I/O Data Integrity Completion. The Back Story. File Integrity Standard.

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Servers Media Cache Storage 90

Brendan Gregg

NOVEMBER 28, 2017

It's amazing to recall that it was even possible to virtualize x86 before processors had hardware-assisted virtualization (Intel VT-x and AMD-V), which were added in 2005 and 2006. AWS EC2 uses a different image type and boot process for PV and HVM, as described on the [Linux AMI Virtualization Types] page. The first was c3.

Virtualization 40

Virtualization AWS Hardware Storage 40

Highly Scalable

MARCH 10, 2015

More specialized data mining applications like supply chain optimization and fraud detection are out of scope, as well as the implementation details of the data mining process (such as evaluation of model quality). Outputs of this tier can be used to configure downstream processes. and the supporting data mining processes.

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Retail C++ Analytics Metrics 152