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SQL/XML or XML-Related Specifications is part 14 of the Structured Query Language (SQL) specification. In addition to the traditional predefined SQL data types like NUMERIC, CHAR, TIMESTAMP, ... it introduces the predefined data type XML together with constructors, several routines, functions, and XML-to-SQL data type mappings to support ...
XML is stored into a native XML Type as defined by ISO Standard 9075-14 [6] RDBMS that support the ISO XML Type are: IBM DB2 (pureXML [7]) Microsoft SQL Server [8] Oracle Database [9] PostgreSQL [10] Typically an XML-enabled database is best suited where the majority of data are non-XML. For datasets where the majority of data are XML, a native ...
Semi-structured data [1] is a form of structured data that does not obey the tabular structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data.
Title Authors ----- ----- SQL Examples and Guide 4 The Joy of SQL 1 An Introduction to SQL 2 Pitfalls of SQL 1 Under the precondition that isbn is the only common column name of the two tables and that a column named title only exists in the Book table, one could re-write the query above in the following form:
XPath (XML Path Language) is an expression language designed to support the query or transformation of XML documents. It was defined by the World Wide Web Consortium (W3C) in 1999, [ 1 ] and can be used to compute values (e.g., strings , numbers, or Boolean values ) from the content of an XML document.
[2]: 113 Column headers are sometimes included as the first line, and each subsequent line is a row of data. The lines are separated by newlines. For example, the following fields in each record are delimited by commas, and each record by newlines:
For example, the diabetes medication Metformin isn't associated with weight gain like insulin and older meds. Beyond medication, focus on what you can control: making lifestyle changes that keep ...
In situations where the number of unique values of a column is far less than the number of rows in the table, column-oriented storage allow significant savings in space through data compression. Columnar storage also allows fast execution of range queries (e.g., show all records where a particular column is between X and Y, or less than X.)