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The fundamental metadata required to execute a Web service typically includes the WSDL file and the endpoint address at which the SOAP listener is available to receive (and optionally return) messages The question typically arises as to how this information is discovered and managed The basic requirement is to publish the metadata for a Web service so that the service requester can find and use it Initially, UDDI was proposed to meet this requirement, but as we have mentioned, UDDI did not succeed in realizing its original vision UDDI was designed to support dynamic discovery, in which the lookup of Web services metadata was a seamless part of a Web service execution The original vision of UDDI was that a Web service requester could supply some general information, such as a business name, business classification, or business location, and receive a valid Web service description with which to execute the request However, for various reasons including the difficulty of creating meaningful categorization information for the Web, UDDI did not achieve its goal of becoming the registry for all Web services metadata and did not become useful in a majority of Web services interactions over the Web Many other proposals were presented for Web services metadata management, including DISCO, Microsoft's original discovery specification, and WSInspection, a later effort by IBM More recently, Microsoft and IBM have published WS-MetadataExchange as an alternative mechanism for Web services metadata discovery Even though UDDI did not manage to establish itself as the central registry for Web services metadata, it did manage to establish itself at the center of the debate over the ultimate solutionif it's not UDDI, then what is it In general, it seems that some companies are using UDDI, but others are extending registry solutions already in place such as LDAP, Java Naming and Directory Interface (JNDI), relational databases, or the CORBA Trader Still another alternative in some limited use is the ebXML Registry Any registry used for Web services metadata needs to support the general feature list of UDDIthat is, storage and retrieval of descriptions (or pointers to them) and associated metadata such as policies UDDI is also encumbered by the failure of its original vision because upward compatibility has to be preserved (a questionable assumption, however, given UDDI's disappointing adoption rates) Although the idea of dynamic discovery using UDDI did not really work out, most Web services toolkits (and there were 82 registered on Xmethodsnet at the time of writing) can accept a WSDL file imported from a location on the Internet and generate a compatible SOAP message from it to successfully interact with the published service There are some restrictions and incompatibilities across Web service implementations, which SOAPBuilders and WS-I have attempted to address The compatibility of metadata and the interpretation of the various specifications determine the extent of possible interoperability In general, compatibility of metadata ends to be higher for simpler services For example, widespread interoperability and the ability to automatically generate a SOAP message and access a service tends to be higher when the service and its data types and structures are simple In general, simple types are widely interoperable, whereas complex types such as arrays and structures are not as widely interoperable.

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As you can see, the actual operation of saving any amount of text in a string to a le is almost trivial For more complex organizations of data, we have to do a bit more work, but the StreamReader and StreamWriter classes we ve already used to load and save text are still up to the job Remembering that the desirable feature of a stream is that data that goes into it in a set order will also come out of it in that order, we can send complex sequences of data into a stream and, provided we are careful to read the individual items back in the same order that we sent them into the stream, can reconstruct the original data from it There are a number of ways we can use to send sequences of variables into a text stream, but all of them involve being able to disentangle the individual variables when we read them back For example, if we were to write the contents of ve integer variables with the values 10, 20, 30, 40 and 50 to a stream one after the other, they would end up as a sequence of digits 1020304050 This could be interpreted as one big integer (just over 1 billion), or 10 single digit integers To make it possible to separate the original items back out of a stream, it is normal to send a delimiter character between each item A comma (,) is most commonly used, resulting in a le format known as Comma Separated Variable, or CSV However, we could easily use a space, a semicolon, a carriage return or just about any other character or control code we choose For example, the ve numbers we wished to store could be stored in a CSV le, which, if we opened it using a plain text editor such as Windows Notepad would appear as: 10,20,30,40,50 The only limitation of this scheme is that normally we should not include the delimiter character (a comma in the data we wished to store Consider the situation where we use a CSV le to save someone s name and address, where the actual data being stored is: Name: Joe Bloggs Address: 25 High St, Sometown PostCode: SO1 1AA Note the presence of the comma between the street name and the name of the town We would save this data into a comma delimited le as: Joe Bloggs,25 High St, Sometown,SO1 1AA.

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