How fast can Linux pipes be?

[CSDN Editor's Note] The author of this article uses an example program to demonstrate the performance optimization process of reading and writing data through Linux pipes, increasing the throughput from the initial 3.5GiB/s to the final 65GiB/s. Even if it is just a small example, it involves a lot of knowledge points, including zero-copy operations, ring buffers, paging and virtual memory, synchronization overhead, etc., especially for concepts such as splicing, paging, and virtual memory address mapping in the Linux kernel Analyzed from the source level....

August 28, 2022

PostgreSQL 2022 Report: Rising popularity, open source, reliability and scaling are key

Timescale recently released a 2022 State of PostgreSQL survey report. The survey ran from June 6 to June 30, 2022, and received responses from 992 developers around the world. The State of PostgreSQL Survey provides some key insights into PostgreSQL capabilities and the wider PostgreSQL community. The first edition of the report, released in 2019, gathered feedback from more than 500 developers, and the second edition in 2021 also sampled nearly 500 participants....

August 27, 2022

PostgreSQL vulnerability leaks enterprise database, many cloud giants are affected

Vulnerabilities have emerged in several PostgreSQL-as-a-service products, including products from two cloud giants, Microsoft and Google. Security firm Wiz Research recently discovered vulnerabilities in the best-selling "PostgreSQL-as-a-Service" offerings from multiple cloud vendors that were brought on by the cloud vendors themselves. Earlier this year, the security firm discovered a series of critical vulnerabilities in Microsoft Azure Database for PostgreSQL Flexible Server. The vulnerability, named #ExtraReplica, allows unauthorized visitors to read other customers' PostgreSQL databases, thereby bypassing tenant isolation mechanisms....

August 27, 2022

"Introduction and Practice of Python Data Mining", fully release Python data analysis capabilities, master core technologies, easily get started with data mining technology and apply it to practical projects.

" Python Data Mining Introduction and Practice" , fully release Python 's data analysis capabilities, master the core technologies of the big data era, easily get started with data mining technology and apply it to practical projects . To buy original foreign language books and reference books, please visit the website of foreign language original books and reference books (bookstore). To study abroad, take foreign language exams, and purchase foreign language teaching materials, please come to the Foreign Language Original Books and Reference Books website (bookstore), and search for "foreign language original books and reference books" on Baidu or Google....

August 26, 2022

(with code) actual combat | Python face recognition check-in attendance system

Computer Vision | Machine Vision | Machine Learning | Deep Learning Editor's recommendation Face recognition is a biometric recognition technology based on human facial feature information, which is also a very mature technology in computer vision. The article shares a practical project of face recognition: attendance system. Interested students can read it carefully. Reprinted from丨Python researchers foreword This project is designed for the check-in and attendance of IOT laboratory personnel....

August 26, 2022

[Daily Book Recommendation] Excel 2019 Formula and Function Application Encyclopedia

Content introduction · · · · · · The book has 25 chapters, including the introduction to Excel 2019, setting the working environment of Excel 2019, basic worksheet operations, worksheet page layout and print settings, data validity and conditional formatting, data sorting and Filtering, Data Processing and Analysis, Data Combination and Subtotals, Name Definition and Use, Formula and Function Fundamentals, Application of Logical Functions, Application of Text and Information Processing Functions, Application of Date and Time Functions, Application of Mathematical Functions, Application Skills of Database Functions, Query and Application of Functions Reference function application, probability function application, statistical function application, financial function application, engineering function application, chart analysis data application, basic data analysis application, pivot table analysis application, fixed asset depreciation analysis application, cost-volume-profit analysis application skills....

August 26, 2022

[Learning tutorial] Vegetation phenology extraction and analysis based on Python long-term series remote sensing data

Extraction and analysis of vegetation phenology from long-term remote sensing data based on Python The video has been recorded, you can watch and learn a full set of courseware + video tutorial + case data code + accompanying tutor group after purchase foreword 1. This tutorial is based on the python language; 2. Provide all codes; 3. Taking practical cases as the main line of the course content, combining principles and operations; 4....

August 26, 2022

[Python learning] 02 Data type + operator

1. Basic data types Numeric type: integer type, floating point type, paraphrase type, boolean type string Container types: lists, tuples, dictionaries, sets Integer type int, INT is an identifier used to define a variable of integer type. Contains four bases, namely binary, octal, decimal and hexadecimal. Computer storage is stored in binary, only 0 and 1 can be stored, other numbers cannot. Octal can only store up to 7....

August 26, 2022

[Python] 05 Check if the shp file is empty

【Python】 Usually, when we review the data achievement file, we will encounter such a problem, "the result requires the placement of all elements, and if there is no content, the layer must be left empty ". But for some data, the rules are not allowed to be empty, so we need to open the GIS and manually check whether the layers whose rules are not empty are empty. If the amount of data is too large, it will be a very time-consuming process....

August 26, 2022

[Python] A somewhat strange requirement

Strange needs breed strange skills, and skills thrive with strange needs. Today, a colleague asked for help to merge a document, but she felt that it would not work to merge the same content. Probably, all business products and hardware types corresponding to an agent should be displayed in one cell, and displayed in a branch. After messing around with pivot tables and merging the same content, I started fiddling with the code....

August 26, 2022