If you're ready to create web pages more complex than those you can build with HTML and CSS, Head First PHP & mysql is the ultimate learning guide to building dynamic, database-driven websites using PHP and My...
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ISBN:
(纸本)0596006306;9780596006303
If you're ready to create web pages more complex than those you can build with HTML and CSS, Head First PHP & mysql is the ultimate learning guide to building dynamic, database-driven websites using PHP and mysql. Packed with real-world examples, this book teaches you all the essentials of server-side programming, from the fundamentals of PHP and mysql coding to advanced topics such as form validation, session IDs, cookies, database queries and joins, file I/O operations, content management, and more. Head First PHP & mysql offers the same visually rich format that's turned every title in the Head First series into a bestseller, with plenty of exercises, quizzes, puzzles, and other interactive features to help you retain what you've learned. Use PHP to transform static HTML pages into dynamic web sites Create and populate your own mysql database tables, and work with data stored in files Perform sophisticated mysql queries with joins, and refine your results with LIMIT and ORDER BY Use cookies and sessions to track visitors' login information and personalize the site for users Protect your data from SQL injection attacks Use regular expressions to validate information on forms Dynamically display text based on session info and create images on the fly Pull syndicated data from other sites using PHP and XML Throughout the book, you'll build sophisticated examples -- including a mailing list, a job board, and an online dating site -- to help you learn how to harness the power of PHP and mysql in a variety of contexts. If you're ready to build a truly dynamic website, Head First PHP & mysql is the ideal way to get going.
What do eBay, *** and *** have in common? They're all applications that integrate large databases with the Web. The popularity (and power) of these applications stems from their accessibility and usability: thousa...
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ISBN:
(纸本)9780596000417
What do eBay, *** and *** have in common? They're all applications that integrate large databases with the Web. The popularity (and power) of these applications stems from their accessibility and usability: thousands of users can access the same data at the same time without theneed to install any additional software on their *** Database Applications with PHP and mysql offers web developers a mixture of theoretical and practical information on creating web database applications. Using PHP, and mysql, two open source technologies that are often combined to develop web applications, the book offers detailed information on designing relational databases and on web application architecture, both of which will be useful to readers who have never dealt with these issues before. The book also introduces Hugh and Dave's Online Wines, a complete (but fictional) online retail site that allows users to browse, search a database, add items to a shopping cart, manage their membership, and purchase wines. Using this site as an example, the book shows you how to implement searching and browsing, store user data, validate user input, manage transactions, and maintain *** you want to build small to medium-scale web database applications that can run on modest hardware and process more than a million hits a day from users, this book will show you how
The Internet of Things (IoT) introduces a new challenge for Database Management Systems (DBMS). In IoT, large numbers of sensors are used in daily lives. These sensors generate a huge amount of heterogeneous data that...
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The Internet of Things (IoT) introduces a new challenge for Database Management Systems (DBMS). In IoT, large numbers of sensors are used in daily lives. These sensors generate a huge amount of heterogeneous data that needs to be handled by the appropriate DBMS. The IoT has a challenge for the DBMS in evaluating how to store and manipulate a huge amount of heterogeneous data. DBMS can be categorized into two main types: The Relational DBMSs and the Non-relational DBMSs. This paper aims to provide a thorough comparative evaluation of two popular open-source DBMSs: mysql as a Relational DBMS and MongoDB as a Non-relational DBMS. This comparison is based on evaluating the performance of inserting and retrieving a huge amount of IoT data and evaluating the performance of the two types of databases to work on resources with different specifications in cloud computing. This paper also proposes two prediction models and differentiates between them to estimate the response time in terms of the size of the database and the specifications of the cloud instance. These models help to select the appropriate DBMS to manage and store a certain size of data on an instance with particular specifications based on the estimated response time. The results indicate that MongoDB outperforms mysql in terms of latency and the database size through increasing the amount of tested data. Moreover, MongoDB can save resources better than mysql that needs resources with high capabilities to work with less performance.
With the development of the digital city,data and data analysis have become more and more *** database is the foundation of data *** this paper,the software system of the urban land planning database of Shanghai in Ch...
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With the development of the digital city,data and data analysis have become more and more *** database is the foundation of data *** this paper,the software system of the urban land planning database of Shanghai in China is developed based on *** conceptual model of the urban land planning database is proposed,and the entities,attributes and connections of this model are *** the E-R conceptual model is transformed into a logical structure,which is supported by the relational databasemanagement system(DBMS).Based on the conceptual and logical structures,by using Spring Boot as the back-end framework and using mysql and Java API as the development tools,a platformwith datamanagement,information sharing,map assistance and other functions is *** functionalmodules in this platformare *** results of J Meter test show that the DBMS can add,store and retrieve information data stably,and it has the advantages of fast response and low error *** software system of the urban land planning database developed in this paper can improve the efficiency of storing and managing land data,eliminating redundant data and sharing data.
The development of predictive applications built on top of knowledge bases is rapidly growing;therefore database systems, especially the commercial ones;are boosting with native data mining analytical tools. In this p...
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ISBN:
(纸本)9783642153921
The development of predictive applications built on top of knowledge bases is rapidly growing;therefore database systems, especially the commercial ones;are boosting with native data mining analytical tools. In this paper, we present an integration of data mining primitives on top of mysql 5.1. In particular, we extended mysql to support frequent itemsets computation and classification based on C4.5 decision trees. These commands are recognized by the parser that has been properly extended to support new SQL statements. Moreover;the implemented algorithms were engineered and integrated in the source code of mysql in order to allow large-scale applications and a fast response time. Finally, a graphical interface guides the user to explore the new data mining facilities.
Storing historical data is not new. Data warehouses are filled with it. However, querying temporal data has only, in the past few years, become a realistic possibility. Yet the SQL standard has not had significant upd...
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ISBN:
(纸本)9781450312035
Storing historical data is not new. Data warehouses are filled with it. However, querying temporal data has only, in the past few years, become a realistic possibility. Yet the SQL standard has not had significant updates in temporal data support since 1992. The demands of the modern world are no longer satisfied by decades-old solutions. mysql, an open-source database extremely popular in the sciences, has still not yet fully implemented SQL-92. Its approach to temporal needs is lacking. Too many queries are not answerable, and those that are answerable are often answered inconsistently.
This paper presents a performance comparison of queries in multidimensional database stored in two different platforms, mysql, which is one of the most popular database management systems for relational data, and Hive...
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ISBN:
(纸本)9789893334362
This paper presents a performance comparison of queries in multidimensional database stored in two different platforms, mysql, which is one of the most popular database management systems for relational data, and Hive, which is a data warehouse and Big Data platform. We analyze the impact of the increase in the data volume on the query processing time on both platforms. The Brazilian Military Service data set was used with four data warehouse queries. Both Hive and mysql environments were created in Google Cloud, using mysql version 5.7 and two clusters for Hive, the first one with two workers, and the second one with four workers. The results showed that, as the volume of data grew, Hive's four workers cluster combined with Parquet file format had an equivalent or better performance than mysql for the queries executed.
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