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Technologies with a low barrier to entry can be a double-edged sword. A technology that people can use speedily and easily will probably be adopted very quickly. However, there is likely to be a correspondingly low level of quality control. HTML s ease of use is one of the reasons behind the explosive growth of the World Wide Web. Anyone can learn the basics of HTML in a short space of time and create a web page very quickly. It s even possible to use What You See Is What You Get (WYSIWYG) editors to make web pages without ever seeing a line of markup. The downside to this is that most pages on the Web are badly formed and don t validate. Browser manufacturers have chosen to accept this state of affairs by making their software very forgiving and unfussy. Instead of requiring clean, valid markup, browsers desperately try to render any code they are given. As a result, much of the code in browser software is dedicated to handling ambiguous use of HTML and trying to second-guess how authors want their web pages to be rendered. In theory, there are billions of HTML documents on the Web. In practice, only a small fraction of those documents are made of well-formed, valid markup. This legacy makes the process of advancing web technologies like HTML and CSS much more difficult. HTML s low barrier to entry has been a mixed blessing for the World Wide Web. The situation with JavaScript isn t quite as drastic. If JavaScript code isn t written with the correct syntax, the coder will be alerted because it will cause an error (as opposed to HTML, which, in most cases, will render anyway). Nonetheless, a lot of very bad JavaScript is out there on the Web.

The record cache is used for full key lookups. On clients, it contains the 100 most recent records retrieved per table, and on AOSs it has the 2,000 most recent. It comes in several flavors and the type is specified on a per-table basis using the CacheLookUp property of table objects. There are three flavors: NotInTTS: Always read from the database when inside a transaction block. Found: The cache does not keep track of statements that do not return a result set and the key used. If new records are subsequently added, they will be retrieved in subsequent queries with the same key. FoundAndEmpty: The cache keeps track of statements that do not return result sets for a given key. Subsequent statements using the same key will be ignored even if new records have been inserted that satisfy the key. Both clients and AOSs have record caches, so in a 3-tier environment there are actually two levels of record caching. The client record cache is private, but all its clients share the AOS record cache. It s flushed automatically when the clients and AOSs exit, and automatically at midnight on AOSs.

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Figure 4 20. Advanced Search in action: we ve decluttered the map, making it easy to choose a hotel.

This cache exists on AOSs, 3-tier fat clients, and 2-tier clients. 3-tier thin clients rely on the table cache on the AOS that services them. It caches only simple data sets. That is, it does not cache the results of joins and is per-company-based. As with the record cache, it s specified using the CacheLookUp property of table objects; there is only one flavor: EntireTable: Caches the entire table when it s selected within a simple statement The table cache is implemented using Axapta temporary tables also known as maps. Therefore, you should specify table caching only for tables that you do not expect to significantly exceed 1,000 records, because temporary tables are inefficient with larger data sets. AOSs share their caches with all the clients they service, and they flush their caches automatically at midnight. Flushing is also performed by clients and AOSs on exit. To ensure that clients and AOSs in a system have the same view of the systems business data, the table cache is synchronized every 60 seconds by default you can specify a different value if you wish as a startup parameter using the Max. Cache Sync. Time field of the configuration tool, as shown in Figure 17-14.

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