eXist-db offers a unique environment for full stack XML web application development. To create applications ranging from web sites with CMS-like feature to collaborative workflows, we at Oppidoc started by developing (...)
download nativexml full
Download File: https://relemisdutch.blogspot.com/?file=2vHMbH
Native XML Project Transfer is a feature introduced in Enterprise Architect 15.1. Until then a full project could be transferred via Enterprise Architect Project Transfer between databases (from and to a local EAP file and/or a DBMS).
When an XML Schema is stored in SQL Server, it is not stored directly as an XML document. Instead, it is shredded into a proprietary format that is useful for optimizing schema validation. Once you have stored your XML Schema, it's possible for SQL Server to reconstruct most of it using the xml_schema_namespace function. However, items such as annotations and comments are not reconstructed by this function, so you may need to keep track of the original schema document separately. A convenient way to keep a full-fidelity copy of a schema for later use would be to store it in a separate table as a varchar(max) column.
Although this looks like a normal index creation statement with an extra XML keyword, the actual effect of the statement is much different than what you get when you create a traditional index. What you are creating in the case of an XML column is an index over the internal representation of the column for the purpose of optimizing XQuery queries, not SQL queries. Remember that the SQL comparison operators cannot be used on an XML column. Because XML indexes and SQL indexes share the same value space in a database, you cannot create an XML index and a SQL index with the same index name. You can, however, also create a full-text index on the contents of an XML type column; this is unrelated to an XML index. (The details of full-text search are outside the scope of this article.)
Although the XQuery language itself can be used to construct complex documents, only the xml::query function takes full advantage of this feature. When using xml::value and xml::exist, you'll normally create simple XPath 2.0 expressions rather than complex XQuery with sequences, constructors, formatting information, and so on. This is because xml::value can only return a sequence containing a single scalar value (it cannot return an XML data type), and xml::exist is used to check for Boolean existence.
XQuery differs from XPath in that, in addition to querying a document, it may be used to compose a document utilizing what are known as node constructors. This is analogous to XSLT, but implemented differently. Figure 5 contains an example that constructs a Payment XML document from an Invoice document. The invoice document used and the payment document produced are included in the code download for this article (see the link at the top of this article).
Automatic index creation by default. Uses structural indexes for element and attribute nodes, a fulltext index for text and attribute values and range indexes for typed values. Fulltext indexing can be turned on/off for selected parts of a document. The structural indexes are maintained automatically.
The database supports full crash recovery based on a journal in which all transactions are logged. In case of a database crash, all committed transactions will be redone while incomplete transactions will be rolled back.
XQuery 1.0 with exception of the schema import and schema validation features defined as optional in the XQuery specification. Queries may span any possible combination of collections or documents. eXist implements the full axis feature, which means you can use the optional axes: ancestor, ancestor-or-self, following-sibling, and preceding-sibling; following and preceding are supported with limitations.
table.downloadBox width: 100%;border: solid 1px #666;border-collapse: collapse;table.downloadBox th background: #276C9F;padding: 3px;color: #fff;font-size: 14px; text-align: center;table.downloadBox td background: #eee;color: #000;padding: 5px 8px;font-size: 12px;text-align: center;table.downloadBox td a color: #000;font-weight: bold;text-decoration: none;table.downloadBox td a:hover text-decoration: underline;
The ability to serve Web services from SQL Server isn't entirely new. The feature is provided in SQL Server 2000 through the Microsoft SQL Server 2000 Web Services Toolkit and SQLXML. However, the XML Web services implementation in SQL Server 2005 greatly enhances the feature while making it more efficient, more secure, and easier to manage. And the feature is no longer dependent on Microsoft IIS. The Native XML Web Services feature supports many Web services standards such as SOAP 1.1 and 1.2 and standard Web Services Definition Language (WSDL). In this article, I explain how the Native XML Web Services feature works, how to implement it, and how to code client applications. I also cover security, best practices, and recommendations for using the feature. You can download the project files for the examples in this article by clicking the Download the Code link.
XMLHttpRequest (XHR) objects are used to interact with servers. You can retrieve data from a URL without having to do a full page refresh. This enables a Web page to update just part of a page without disrupting what the user is doing.
If your communication needs to involve receiving event data or message data from a server, consider using server-sent events through the EventSource interface. For full-duplex communication, WebSockets may be a better choice.
BaseX is a robust, high-performance XML database engine and a highly compliant XQuery 3.1 processor with full support of the W3C Update and Full Text extensions. It serves as excellent framework for building complex data-intensive web applications. It comes with interactive user interfaces (desktop, web-based) that give you great insight into your data.
The Oracle Berkeley DB versions downloaded from this site are licensed under open source terms. Oracle Berkeley DB is also made available for use under an Oracle commercial license. Please contact berkeleydb-info_us@oracle.com for more details on obtaining a commercial version of Oracle Berkeley DB.
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that you can use to send, store, and receive messages between software components at any volume. Amazon SQS messages can contain up to 256 KB of text data, including XML, JSON, and unformatted text.
This is a screenshot of the example application. The editor comes with full source, and shows how to use NativeXml to create XML content and how to use the parsed data. You can also directly use the editor to edit your XML files if you like, download it here.
The Apache Xindice team is pleased to announce the release of Apache Xindice 1.0 release candidate 2. Full source code is available under the terms ofthe Apache Software License and downloads are available from:
The server is currently suitable for medium volume XML storage applications. It supports XPath for queries and XML:DB XUpdate for XML updates. An implementation of the XML:DB XML database API is provided for Java developers and access from other languages is enabled through the download of an XML-RPC plugin.
Minor encoding fixes in the command line tools. More serious attention will be payed to encoding issues in the 1.1 release of Xindice. As it is, some languages such as Russian and Chinese can not be successfully stored in the server. This will be fixed in a Xindice 1.1 release. 2ff7e9595c
Comments