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Adding the mw-collapsible class to a table automatically positions the toggle, and selects which parts to collapse. A common use is to make a collapsible layout table, which always displays an introduction or summary, but hides the rest of the content from immediate view.
Also, if the table has cell spacing (and thus border-collapse=separate), meaning that cells have separate borders with a gap in between, that gap will still be visible. A cruder way to align columns of numbers is to use a figure space   or  , which is intended to be the width of a numeral, though is font-dependent in practice:
For example, nested tables (tables inside tables) should be separated into distinct tables when possible. Here is a more advanced example, showing some more options available for making up tables. Users can play with these settings in their own table to see what effect they have.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
The syntax of the SQL programming language is defined and maintained by ISO/IEC SC 32 as part of ISO/IEC 9075. This standard is not freely available. This standard is not freely available. Despite the existence of the standard, SQL code is not completely portable among different database systems without adjustments.
Many FOSS software tools allow modelling of DB layout/schemes like this. Visual representation often may also be exported as a production-ready source code made in DB-compatible languages like SQL. The database schema is the structure of a database described in a formal language supported typically by a relational database management system ...
SQL Anywhere Server is a high performing and embeddable relational database-management system that scales from thousands of users in server environments down to desktop and mobile applications used in widely deployed, zero-administration environments.
The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cubes. [1] While it is possible to translate some of these into traditional SQL, it would frequently require the synthesis of clumsy SQL expressions even for very simple MDX expressions.