PostgreSQL Benchmark on FreeBSD, CentOS, Ubuntu Debian and OpenSUSE
In this post, I’m going to show benchmark results of the recently released PostgreSQL 10.1. I’ve benchmarked the DB on these OSes (all are 64-bit):
The latest blog posts to take off on Hacker News. 140 posts.
In this post, I’m going to show benchmark results of the recently released PostgreSQL 10.1. I’ve benchmarked the DB on these OSes (all are 64-bit):
As such, there’s really no “standard” benchmark that will inform you about the best technology to use for your application. Only your requirements, your data, and your infrastructure can tell you what you need to know.
Many years ago I worked on IBM DB2 and so I occasionally get the question, “how the heck could you folks possibly have four relational database management system code bases?” Some go on to argue that a single code base would have been much more efficient. That’s certainly true. And, had we moved to a single code base…
Introduction / Warning Link to heading Any traditional introductory statistics course will teach students the definitions of modes, medians and means. But, because introductory courses can’t assume that students have much mathematical maturity, the close relationship between these three summary statistics can’t be…
Once a month users post a chart on `r/ethereum` predicting the blockchain size of Ethereum will soon exceed 1 TB. I want to clean up with some stories around the Ethereum-blockchain size in this article and try to explain why this chart is technically correct, but not the full picture...
Making decision despite missing SQL data (NULL): How to avoid OR…IS NULL in the WHERE clause.
This is a detailed step-by-step introduction to R programming. Starting with the two major reasons to learn R for Data Science, it will guide you through the installation process, and prepare you for the basics of R: arithmetics, variables assignment, data types, functions, and documentations.
When people move to different jobs, here’s where they go.
Scaling out operation with read replicas and avoiding the downside of stale reads by observing replication progress.
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
9 months of daily A/B-testing of Google AdSense banner ads on Gwern.net indicates banner ads decrease total traffic substantially, possibly due to spillover effects in reader engagement and resharing.
Though most relational databases (like MySQL) are "row oriented", in that they keep rows stored together... experience has taught us that pivoting the data arrow so that columns, and not rows, are stored together can be beneficial. This is an old observation that most experienced programmers know about as the…
Building a log-based architecture that’s fast, efficient, and resilient on the new stream data structure in Redis.
I wrote up my experience using Python to process data from a shared Google Sheets spreadsheet
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
Apache Parquet and Apache ORC have become a popular file formats for storing data in the Hadoop ecosystem. Their primary value proposition ...
Ryan Marcus, assistant professor at the University of Pennsylvania. Using machine learning to build the next generation of data systems.
Building resilient services by identifying foreign state mutations and grouping local changes into restartable atomic phases so that every request can be driven to completion.
Here follows the original "manifesto" from late 2014 proposing the idea for what became Upspin . The text has been lightly edited to remove...
Simplex Sigillum Veri
Compilation of my favorite SQL queries after a decade of dealing with relational databases. Today we talk about scanning a table with 100 million records.
You're probably reading this page because you've attempted to access some part of my blog (Wandering Thoughts) or CSpace , the wiki thing it's part of. Unfortunately you're using a browser version that my anti-crawler precautions consider suspicious, most often because it's too old (most often this applies to versions…
Just over a year ago Google made all the open source code on GitHub available for querying within BigQuery and as if that wasn’t enough you can run a terabyte of queries each month for free!