有关globe.jsa

flyingding 2003-09-29 12:08:41
weblogic是否支持globe.jsa?谁能给我个空的globe.jsa,有具体说明更好!先谢谢了!
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liad 2003-10-04
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global.jsa ???
我搜了一下,好象只有JRun支持

Using the global.jsa File
Each jsp application can have one global.jsa file. (The file name extension jsa stands for JRun
Server Application) This file must be stored in the root directory of the jsp application. The
page compilation engine reads a global.jsa file when:
· The Web server receives the first post-startup request for any jsp file in a given
application; that is, after the Web server starts, the first request for any jsp file in an
application causes page compilation engine to read the global.jsa file for that
application.
· A user who does not have a session requests a jsp file in an application.
You can include the following in a global.jsa file: application-start events, session-start events,
application-end events, and session-end events.
The following example illustrates how to specify each event from within the global.jsa file.
<script runat="server" event="Session_OnStart">
Response.write("Hello This is a new Session<BR>");
System.out.println("Session_OnStart called for: "+Session.getId());
</script>
<script runat="server" event="Session_OnEnd">
System.out.println("Session_OnEnd called for: "+Session.getId());
</script>
<script runat="server" event="Application_OnStart">
System.out.println("Application_OnStart called");
Application.setAttribute("greeting", "hi mom");
</script>
<script runat="server" event="Application_OnEnd">
System.out.println("Application_OnEnd called");
Application.removeAttribute("greeting");
</script>
There are restrictions as to what objects are available within each event handling method.
· Session_OnStart can access any object a “normal” JSP file can
· Session_OnEnd can only access the Application, Session, and Server objects. The
Server object cannot call the MapPath() method. The CallPage() method is also not
available within Session_OnEnd.
· Application_OnStart can only access the Application and Server objects. The
CallPage() method is not available within Application_OnStart.
· Application_OnEnd can only access the Application and Server objects. The
CallPage() method is not available within Application_OnEnd.
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flyingding 2003-10-04
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flashroom 2003-09-29
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jboss好象支持
The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You’ll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you’ll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications. What you will learn Familiarize yourself with the latest advanced R console features Create advanced and interactive graphics Manage your R project and project files effectively Perform reproducible statistical analyses in your R projects Use RStudio to design predictive models for a specific domain-based application Use RStudio to effectively communicate your analyses results and even publish them to a blog Put yourself on the frontiers of data science and data monetization in R with all the tools
Key Features 54 useful and practical tasks to improve working systems Includes optimizing performance and reliability or uptime, reporting, system management tools, interfacing to standard data ports, and so on Offers 10-15 real-life, practical improvements for each user type Book Description The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications. What you will learn Familiarize yourself with the latest advanced R console features Create advanced and interactive graphics Manage your R project and project files effectively Perform reproducible statistical analyses in your R projects Use RStudio to design predictive models for a specific domain-based application Use RStudio to effectively communicate your analyses results and even publish them to a blog Put yourself on the frontiers of data science and data monetization in R with all the tools that are needed to effectively communicate your results and even transform your work into a data product About the Author Andrea Cirillo is currently working as an internal auditor at Intesa Sanpaolo banking group. He gained a lot of financial and external audit experience at Deloitte Touche Tohmatsu and internal audit experience at FNM, a listed Italian company. His current main responsibilities involve evaluation of credit risk management models and their enhancement mainly within the field of the Basel III capital agreement. He is married to Francesca and is the father of Tommaso, Gianna, and Zaccaria. Andrea has written and contributed to a few useful R packages and regularly shares insightful advice and tutorials about R programming. His research and work mainly focuses on the use of R in the fields of risk management and fraud detection, mainly through modeling custom algorithms and developing interactive applications. Table of Contents Chapter 1: Acquiring Data for Your Project Chapter 2: Preparing for Analysis – Data Cleansing and Manipulation Chapter 3: Basic Visualization Techniques Chapter 4: Advanced and Interactive Visualization Chapter 5: Power Programming with R Chapter 6: Domain-specific Applications Chapter 7: Developing Static Reports Chapter 8: Dynamic Reporting with Web Applications

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