Remove 2003 Remove Design Remove Scalability Remove Virtualization
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HammerDB: Using MySQL 5.7 vs 8.0 to understand performance profiles

HammerDB

One of the most important concepts in analysing database performance is that of understanding scalability. Plotting these data points enables us to understand the scalability of the database software being tested on that system. Then we can run an interactive workload for a single Virtual User as follows for MySQL 8.0.25./hammerdbcli

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The Back-to-Basics Readings of 2012 - All Things Distributed

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. May 28 - Virtual Time and Global States of Distributed Systems , Friedemann Mattern, Parallel and Distributed Algorithms, North-Holland (1989) , p. Jul 6 - End-To-End Arguments in System Design , by J. All Things Distributed. Comments (). Araújo, K.

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HammerDB Concepts and Architecture

HammerDB

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. Virtual Users. Virtual Users within HammerDB are operating system threads. HammerDB CLI v3.1 HammerDB CLI v3.1

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Vuser 1:1 Active Virtual Users configured Vuser 1:TEST RESULT : System achieved 1844256 NOPM from 4232155 PostgreSQL TPM Vuser 1:FINISHED SUCCESS ALL VIRTUAL USERS COMPLETE. hammerdbcli auto pgtime.tcl HammerDB CLI v4.4 hammerdbcli auto pgtime.tcl HammerDB CLI v4.4 Vuser 1:Test complete, Taking end Transaction Count. 700% Faster.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. I also applied Six Sigma to capacity planning and presented this at a conference in 2003.

Tuning 52
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Transforming enterprise integration with reactive streams

O'Reilly Software

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. WebServices, unfortunately, failed to deliver on the distributed systems front by having virtually all implementations using synchronous/blocking calls—which we all know is a recipe for scaling disaster.

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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

​​ With new ​​ innovations ​​ come ​​ new terms, designs, ​​ and ​​ algorithms. This is different from ​​ the reference count design ​​ that was ​​ used in SQL Server 7.0 and ​​ 2000.

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