Remove c
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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

I presented this analysis of response time distributions talk in 2016 — at Microxchg in Berlin ( video ). The code is written using the R statistics language and I downloaded a free copy of RStudio to run the examples below. > > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5,

Lambda 98
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

The worklogs are where the design for future releases happens, and these are opened up when their features are fully developed and source-code-pushed. From a source code standpoint, MySQL makes pushes to Github when a release is made, whereas open source development happens for Percona Server for MySQL and MariaDB Server on Github.

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How Parallel Plans Start Up – Part 3

SQL Performance

A reminder of the plan ( click to enlarge ): This is the first point in the process so far that an in-flight execution plan is available (SQL Server 2016 SP1 onward) in sys.dm_exec_query_statistics_xml. Additional parallel workers will be started to run the additional parallel tasks contained in branches B, C, and D. Starting Sequence.

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Nested Loops Joins and Performance Spools

SQL Performance

The general idea is to cache and replay results, saving repeated executions of inner-side operators wherever possible. When a spool is able to replay cached results, this is known as a rewind. You may find it helpful to think of a spool rebind as a cache miss, and a rewind as a cache hit. Lazy Table Spool.

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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Before all was said and done, all of these people and more helped with various activities: · Eugene, Mike, Slava, Scott, Peter, Steve and others doing code reviews on my SQL Server and Host Extension changes. ·

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How To Choose A Headless CMS

Smashing Magazine

With Luminary’s 21 years of experience in the digital space, my experience of 17 years in the CMS space as well as our focus on Headless since 2016, here are my two cents on what you should look out for. All functionality and integrations would also have a tight dependency which in turn results in a large, cumbersome monolithic code base.

Cache 143
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Compiler bug? Linker bug? Windows Kernel bug.

Randon ASCII

In September of 2016 we started noticing random failures when building Chrome – 3 out of 200 builds of Chrome failed when protoc.exe, one of the executables that is part of the build, crashed with an access violation. Now we have a problem statement that we can reason about: why are large chunks of our code segment filled with zeroes?