etl wikipedia

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WikiPedia Technical Architecture learning and sharing (Introduction)

Wikipedia (WikiPedia.org) ranks eighth among the top 10 websites in the world. This is the power of openness. Point direct data: The peak value is 30 thousand "> HTTPRequest 3 GB per secondBitTraffic, almost375 MB 350 PCsServer (Data Source) The architecture is as follows:Copy @ Mark BergsmaGeoDNS In my Blog on these website architectures, what is the first appearance of GeoDNS? "A 40-line patch for BIND to add geographical filters support to th

Node.js environment to write crawler crawling content of Wikipedia to share the example _node.js

Basic ideasidea One (origin:master): From a Wikipedia category (such as: Aircraft carrier (key)) page, to find the title of the link to include all the goals of the key (aircraft carrier), add to the queue to be crawled. In this way, grab a page of the code and its pictures, but also get this page all the key-related other pages address, take a class breadth first traversal algorithm to complete this task.Idea two (ORIGIN:CAT): Crawl according to the

Web 2.0 Summit: spam filtering between Google and Wikipedia

In Hollywood, if you are watched by paparazzi, it means you have succeeded. in Silicon Valley, if you are targeted by spam information, it means you have succeeded. On Wednesday morning, at the Web 2.0 Summit (Web 2.0 Summit), representatives from Google, Reddit, pramana, And Wikipedia talked about how to resist spam information. Matt Cutts, head of Google's anti-spam team, said that if you provide link-related services, you will inevitably encounter

The concept of ETL learning notes

Introduction: Etl,extraction-transformation-loading's abbreviation, the process of data extraction (Extract), Transformation (Transform), loading (load), is an important part of building a data warehouse.Keywords: ETL Data Warehouse OLTP OLAPThe etl,extraction-transformation-loading abbreviation, the process of data extraction (Extract), Transformation (Transform

Encyclopedia Marketing: Don't think it's easy to create Wikipedia

Encyclopedia Marketing is a corporate brand and visibility of the network marketing method, for network marketing, encyclopedia marketing or a relatively new piece, a lot of people engaged in network marketing and business, and did not really regard the encyclopedia as one thing. In fact, using a good encyclopedia, you can make network marketing more efficient, the most significant feature is the simplest and almost no technical content of the way to achieve a high search engine optimization. B

Wikipedia Technical Architecture Study Notes

Wikipedia is a global multilingual encyclopedia collaboration program based on Wiki technology. It is also a network encyclopedia presented on the Internet, its purpose and purpose is to provide free encyclopedias for all mankind-a dynamic, free and global body of knowledge written in the language of their choice. Wikipedia's experience in IT architecture is of great reference for us to build websites because the information provided by

Open source Job scheduling tool to realize open-source datax, Sqoop, Kettle and other ETL tools job batch Automation scheduling

1, Ali Open source software: datax Datax is a heterogeneous data source offline Synchronization tool that is dedicated to achieving stable and efficient data synchronization between heterogeneous data sources including relational databases (MySQL, Oracle, etc.), HDFS, Hive, ODPS, HBase, FTP, and more. (Excerpt from Wikipedia) 2. Apache Open source software: Sqoop Sqoop (pronunciation: skup) is an open source tool that is used primarily in Hadoop (Hive

Semi-supervised learning (Wikipedia)

The following is excerpted from Wikipedia semi-supervised learning. A conceptual and intuitive experience for semi-supervised learning.Semi-supervised learning is a class of supervised learning tasks and techniques The also make use of the unlabeled data for T Raining-typically a small amount of labeled data with a large amount of unlabeled data. Semi-supervised learning falls between unsupervised learning (without any labeled training data) and super

Wikipedia FAQ blog Steady Flow source

A site suddenly get Baidu's pro-Lai is not impossible, but we can not just look at the background data a sudden surge, to understand that this is based on every day to adhere to the efforts of the results. And let the site to get the search engine's pro-Lai, must be in-station optimization and external optimization of the combination of both. And the author of this case optimization is the main article to maintain normal daily updates, the rest is mainly to do outside the chain of construction,

Sqlite3, the practice in Wikipedia:

Tags: family tps man cheap san style sqli round SQLiteHttps://en.wikibooks.org/wiki/SQL_Exercises/The_computer_storeTwo tables connected to each other Manufactures: code, name Products:code, name, Price, manufacturer Yellow is an association. Select the name and price of the cheapest product. ?? : Use nested structure, so that you can get all the cheapest prices of products, product prices if there is the same. If you write only the code within the substructure, you can return only one row. sel

BI main link ETL related knowledge

BI Architecture-bi Key Links ETL related knowledge Main function: Load the data of the source system into the Data Warehouse and data mart layer; The main problem is the complex source data environment, including a wide variety of data types, huge load data volumes, intricate data relationships, and uneven data quality common terminology etl: Data extraction, conversion, loading (extract/ Transform/l

Wikipedia Financial Crisis

For a variety of free online services, such as Wikipedia, we have always taken it for granted. At the same time, we believe that they are maintained by selfless volunteers. Therefore, they will never be financially embarrassed, but in fact, services like Wikipedia still need to pay for huge servers, storage, power, and repairs. Since the last Wikipedia founder J

Wikipedia escaped from MySQL and supported open source databases

MariaDB was also invented by the founder of MySQL. Since MySQL was acquired by Oracle, it is becoming the mainstream of open source databases. It is reported that Asher Feldman, a senior website leader in charge of the Wikipedia Media Foundation, revealed that he recently moved the English encyclopedia in Wikipedia to the MariaDB 5.5.28 database. He revealed that at the end of the first quarter of next year

One of the most famous station learning front-end of a Wikipedia site

. detail_title {left:-35px; bottom:-50px; width:200px;}. SVG {position:relative;z-index:0}.svg. shape {opacity:0.1;transition:opacity. 1s ease-in;}. show {opacity:1;}. Show. Detail_title {opacity:1;}JS mainly implement hover response, hover display detail_title elements, display the corresponding SVG elements, we use the JQuery class library to simplify writing.$ ('. Detail '). Hover ( function () { $ (this). addclass (' show '); $ ('. Shape '). EQ ($ (this). Index ()). CSS (' opacity '

Using the tulinux operating system to create a wikipedia Image

Article Title: UbuntuLinux operating system creates a wikipedia image. Linux is a technology channel of the IT lab in China. Includes basic categories such as desktop applications, Linux system management, kernel research, embedded systems, and open source. 1. Install LAMP Sudo aptitude install apache2 Sudo aptitude install mysql-server Sudo aptitude install php5 Sudo aptitude install php5-mysql Sudo aptitude install php5-cli Sudo aptitude install lib

Google Maps's path to Wikipedia

Google now allows users in the United States, Australia, and New Zealand to improve map accuracy by editing Google maps themselves. If a hotel on a nearby map has been closed or relocated, you can correct this error on Google map. You can also add new names by yourself. Google used to allow you to edit maps by yourself, but this time Google will accept the results and benefit others. Google maps will become abnormal details. It is unclear how Google will prevent this function from being abused.

Simple invocation of the Wikipedia API and the escape of Wiki tags (installation and use of pear)

/wiki.php ';//Instantiate a Text_wiki object from the given class//and set it to use the Mediawiki ad Apter$wiki = Text_wiki::factory (' Mediawiki ');//Set some rendering rules $wiki->setrenderconf (' xhtml ', ' Wikilink ', ' view_url ', ' http://zh.wikipedia.org/wiki/'); $wiki->setrenderconf (' xhtml ', ' wikilink ', ' pages ', false echo $wiki->transform ($revisions, ' Xhtml ');After viewing the webpage a little garbled;Wikiapi Invoke Tutorial: http://www.ibm.com/developerworks/cn/xml/x-phpw

Number of bells (from Wikipedia) & Stirling

as the method of Stirling.The exponential parent function of the bell number is Bell Triangles [edit ] Construct a triangular matrix (in the form of a Yang Hui triangle) using the following method: The first line of the first row is 1 () For N>1, the first of the nth rows is equivalent to the last item of line n-1. () For m,n>1, the nth row of item m equals the sum of two numbers on the left and upper left. () The results are as follows: (oeis:a011971)

Python Development Simple Crawler (ii)---Crawl Baidu wikipedia page data

First, the development of crawler steps1. Determine the target crawl strategy:Open the target page and use the right-click Review element to determine the URL format, data format, and page encoding of the Web page.① first look at the format of the URL, F12 observe the form of the link;② look at the target Text information label format, such as text data for div class= "xxx",③ easy to see encoded as Utf-82. Analysis ObjectivesTarget: Baidu Encyclopedia Python entryEntry page: Http://baike.baidu.c

Crawler instances-Crawl Python Baidu Wikipedia 1000 related terms

):"""docstring for Htmlparser""" def_get_new_urls (self,page_url,soup): New_urls=set () links= Soup.find_all ('a', Href=re.compile (R"/item/*?")) forLinkinchLinks:new_url= link['href'] New_full_url=Urllib.parse.urljoin (Page_url,new_url) new_urls.add (new_full_url)returnNew_urlsdef_get_new_data (self,page_url,soup): Res_data= {} #URLres_data['URL'] =Page_url#Title_node= Soup.find ('DD', class_='Lemmawgt-lemmatitle-title'). Find ("H1") res_data['title'] =Title_node.get_text

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