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This example illustrates one of the arguably less desirable quirks of QUEL, namely that all string comparisons are potentially pattern matches. y.str = "ii*" matches all y.str values starting with ii. In contrast, SQL uses = only for exact matches, while like is used when pattern matching is required.
Oracle Database provides information about all of the tables, views, columns, and procedures in a database. This information about information is known as metadata. [1] It is stored in two locations: data dictionary tables (accessed via built-in views) and a metadata registry.
Shadow tables are objects in computer science used to improve the way machines, networks and programs handle information. [1] More specifically, a shadow table is an object that is read and written by a processor and contains data similar to (in the same format as) its primary table, which is the table it's "shadowing".
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 ...
The terms data dictionary and data repository indicate a more general software utility than a catalogue. A catalogue is closely coupled with the DBMS software. It provides the information stored in it to the user and the DBA, but it is mainly accessed by the various software modules of the DBMS itself, such as DDL and DML compilers, the query optimiser, the transaction processor, report ...
SQLite: A VIEW named "dual" that works the same as the Oracle "dual" table can be created as follows: CREATE VIEW dual AS SELECT 'x' AS dummy; SAP HANA has a table called DUMMY that works the same as the Oracle "dual" table. Teradata database does not require a dummy table. Queries like 'select 1 + 1' can be run without a "from" clause/table name.
If no matching row from the "left" table (A) exists, NULL will appear in columns from A for those rows that have no match in B. A right outer join returns all the values from the right table and matched values from the left table (NULL in the case of no matching join predicate).
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 between database and table) SELECT * FROM [database1.] default. foo vs. SELECT * FROM [database1.] alternate. foo (no explicit ...