数据库内核分享,第一期“Buffer Pool Implementation InnoDB vs Oracle”的完整PPT,详细介绍了Buffer Pool在InnoDB与Oracle的实现,以及二者实现的不同之处。对朋友们理解两个数据库如何管理内存,有较大的帮助!注:此版本,彭立勋 同学做了部分注释,相对更易理解,谢谢立勋!
The document discusses maintaining a dynamic dictionary on disk and describes the state of the art which includes B-trees and several variants. It then introduces the fractal tree, which is a replacement for traditional B-trees that can perform high entropy inserts and deletes up to 100 times faster without suffering from aging effects on range queries. Experimental results show the fractal tree implemented in TokuDB provides 10-100x faster index inserts and faster queries compared to traditional B-trees.
数据库内核分享,第一期“Buffer Pool Implementation InnoDB vs Oracle”的完整PPT,详细介绍了Buffer Pool在InnoDB与Oracle的实现,以及二者实现的不同之处。对朋友们理解两个数据库如何管理内存,有较大的帮助!注:此版本,彭立勋 同学做了部分注释,相对更易理解,谢谢立勋!
The document discusses maintaining a dynamic dictionary on disk and describes the state of the art which includes B-trees and several variants. It then introduces the fractal tree, which is a replacement for traditional B-trees that can perform high entropy inserts and deletes up to 100 times faster without suffering from aging effects on range queries. Experimental results show the fractal tree implemented in TokuDB provides 10-100x faster index inserts and faster queries compared to traditional B-trees.
Time Machine allows rolling back databases, tables, or instances to a previous snapshot by replaying binary logs in reverse. It works at the server level for all storage engines and formats binary logs using full images. Currently, it is a feature inside the mysqlbinlog tool. The tool reverses DML operations by changing event types and swapping SET and WHERE clauses to recover data modified in errors. Future work includes adding support for DDL statements and global transaction IDs.
This document discusses several features that Alibaba is developing or contributing to MariaDB, including:
1. Time Machine/Flashback, which allows rolling databases back to snapshots by reversing DML operations in binary logs.
2. Double Sync Replication, which combines asynchronous and semi-synchronous replication to ensure the slave always knows the master's status.
3. Multi-source replication, which allows a single slave to replicate from multiple masters to support data sharding and backups across instances.
4. Thread Memory Monitor, which tracks memory usage by thread to identify which queries are using the most memory when the mysqld process exceeds limits.
The document discusses an introduction to HTML and creating basic web pages. It covers defining the task of creating a first web page document called "Webpage", uploading it to a web server, and browsing it. It then discusses HTML tags, elements, and basic tags like headings, paragraphs, bold, italics and links. It also covers creating an HTML document, saving it as index.html, and viewing it in a web browser.
Fractal Tree Indexes : From Theory to PracticeTim Callaghan
Fractal Tree Indexes are compared to the indexing incumbent, B-trees. The capabilities are then shown what they bring to MySQL (in TokuDB) and MongoDB (in TokuMX).
Presented at Percona Live London 2013.
This document discusses MongoDB and Fractal Tree indexes. It provides an overview of B-trees and how Fractal Tree indexes differ, allowing for larger node sizes and buffering of changes in internal nodes. Benchmarks show that Fractal Tree indexes outperform MongoDB's default indexing, providing much better insertion and query performance. The presenter outlines Tokutek's work on Fractal Tree indexes and the roadmap to further integrate them with MongoDB to improve performance and crash safety.
This document provides an overview of database systems and concepts. It covers topics such as the role of databases and database management systems, data models, database design principles, SQL, database performance tuning, distributed databases, and data warehousing. The document is organized into 13 chapters that progress from introductory database topics to more advanced concepts. It includes definitions of key terms, descriptions of different data models and database types, and explanations of the database design process.
This document provides an overview of fractals, including a brief history, examples of specific fractals (Sierpinski triangle and Koch snowflake) and their properties (dimension, area, perimeter), and appearances and applications of fractals in technology and medicine. It outlines the presentation which includes introductions to self-similarity, dimension, early contributors to fractal geometry like Mandelbrot, examples of fractals and calculations of their dimensions, areas, and perimeters, as well as naturally occurring fractals and uses of fractals in technology and medicine.
Kelly C. Ruggles is a financial educator and fee-based financial planner based in Spokane, Washington. Along with nearly two decades of experience in the field of financial planning, Kelly C. Ruggles also is the founder of American Reliance Group Inc.
Kelly C. Ruggles is a financial planner and retirement investment expert with years of experience in the field of financial planning for retirees and preretirees
MySQL 5.6 GA版本已经发布了,其中包含了大量的新特性,了解这些新特性,不仅对数据库内核研发有帮助,对于更好的使用MySQL数据库也有着极大的意义。本分享将深入剖析MySQL 5.6新特性的实现细节,一共分为两期:分别是InnoDB引擎以及MySQL Server。本次为第一期,分享 MySQL 5.6 InnoDB引擎中的性能优化与功能增强。
Lixun Peng presents Double Sync Replication as a solution to problems with asynchronous and semi-synchronous replication. Double Sync Replication uses two replication channels - an asynchronous channel to continuously replicate binary logs from the master, and a semi-synchronous channel to replicate the latest binary logs and position. This allows the slave to always know the latest position on the master and compare logs from both channels to determine consistency. The asynchronous channel is used to fully apply logs when the network is down to catch the slave back up.
A binary graphics recognition algorithm based on fitting functionLixun Peng
This document proposes a binary graphics recognition algorithm based on fitting functions. It involves fitting line segments from graphics with polynomial functions, and comparing the fitting functions to templates in a knowledge base to identify the graphics. The algorithm represents graphics as sets of line segments, feature points, and best fitting vectors. It then uses the analysis of variance of fitting functions to recognize graphics by finding the most similar template function.