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Impact of Querying Table Information From information_schema

Percona

Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

Cache 101
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Kubernetes for Big Data Workloads

Abhishek Tiwari

A recent performance benchmark completed by Intel and BlueData using the BigBench benchmarking kit has shown that the performance ratios for container-based Hadoop workloads on BlueData EPIC are equal to and in some cases, better than bare-metal Hadoop [7]. Performance. Workload Characteristics and Candidates for Containerization ??.

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Why MySQL Could Be Slow With Large Tables

Percona

There are a couple of blog posts from Yves that describe and benchmark MySQL compression: Compression Options in MySQL (Part 1) Compression Options in MySQL (Part 2) Archive or purge old or non-used data: Some companies have to retain data for multiple years either for compliance or for business requirements.

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Upcoming of the learned data structures

Abhishek Tiwari

More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. The benchmarking was performed using 3 real-world data sets (weblogs, maps, and web-documents), and 1 synthetic dataset (lognormal). Learned indexes. Learned Bloom filters. What's next.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

One, by researching on the Internet; Two, by developing small programs and benchmarking. But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability. The legacy languages — be it ASM or C still rule in terms of performance.

Java 207
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Ten years of page bloat: What have we learned?

Speed Curve

Having said that, looking at data over the past ten years, it's safe to make the observation that pages are definitely trending bigger. These numbers should not be taken as a benchmark for your own site. You can see this by looking at the synthetic test result for Sears.com (again, available via our Industry Benchmarks ).

Mobile 145
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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.