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The built-in SQL backend of the framework provides ROLAP functionality on top a relational database. Cubes contains a SQL query generator that translates the reporting queries into SQL statements. The query generator takes into account topology of the star or snowflake schema and executes only joins that are necessary to retrieve attributes ...
The 5.0 version of the program was released in 2002, adding a XSLT processor, XSLT debugger, a WSDL editor, HTML importer, and a Java as well as C++ generator. The version's XML document editor was redesigned to allow for easier use by businesses. [7] XMLSpy 2006 was given the Platinum Award by SQL Pro Magazine's Editor's choice awards. [8]
JSON Schema specifies a JSON-based format to define the structure of JSON data for validation, documentation, and interaction control. It provides a contract for the JSON data required by a given application and how that data can be modified. [29] JSON Schema is based on the concepts from XML Schema (XSD) but is JSON-based. As in XSD, the same ...
Yes - Import Database from server/ODBC Yes - Export SQL No No MySQL Workbench: Yes Yes Yes Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes No Oracle SQL Developer: Yes Yes Yes Yes Yes Yes Yes Yes pgAdmin: Yes Yes No CSV, Text, or binary CSV, text, HTML, XML ...
A DB schema based on JSONB always has fewer tables: one may nest attribute–value pairs in JSONB type fields of the Entity table. That makes the DB schema easy to comprehend and SQL queries concise. [31] The programming code to manipulate the database objects on the abstraction layer turns out much shorter. [32]
Example of QBE query with joins, designed in Borland's Paradox database. Query by Example (QBE) is a database query language for relational databases.It was devised by Moshé M. Zloof at IBM Research during the mid-1970s, in parallel to the development of SQL. [1]
The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).
A true fully (database, schema, and table) qualified query is exemplified as such: SELECT * FROM database. schema. table. Both a schema and a database can be used to isolate one table, "foo", from another like-named table "foo". The following is pseudo code: SELECT * FROM database1. foo vs. SELECT * FROM database2. foo (no explicit schema ...