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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.

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Using Parallel Query with Amazon Aurora for MySQL

Percona

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. Aurora Parallel Query response time (for queries which can not use indexes) can be 5x-10x better compared to the non-parallel fully cached operations. The second and third run used the cached data.

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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. But where do they preview the content before it is made available to the general public? Microservices architecture. Omnichannel.

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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 ). A later version of the slides is included in my Microservices Workshop deck from later that year, slides 168–200 ( pdf , keynote are available in GitHub.com/adrianco/slides ). I’ve been thinking about this for a long time.

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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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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Critical features of MariaDB include robust security features like encryption at rest and in transit, user authentication, and role-based access control (RBAC), as well as high-performance query execution, advanced indexing techniques, and replication, clustering, and sharding, ensuring scalability and high availability.

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Intel discloses “vector+SIMD” instructions for future processors

John McCalpin

In the latest (October 2016) revision of Intel’s Instruction Extensions Programming Reference , Intel has disclosed a fairly dramatic departure from these “traditional” approaches. Notes on notation: C[i][j] is invariant in the innermost loop, so I refer to the values in the accumulator as elements of the C array.

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