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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.
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 ...
TPC-C uses a database schema with nine tables in total. The structure is driven primarily by the Warehouse table, which contains a number of warehouse entries denoted W. W has a minimum value of 10, and must be increased to match the saturation level of the tested systems, using W as a scaling factor.
The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.
In the Oracle implementation, a 'database' is a set of files which contains the data while the 'instance' is a set of processes (and memory) through which a database is accessed. Informix supports multiple databases in a server instance like MySQL.
The name of a column becomes the name of a "binding variable", whose value is a specific graph element reference for each row of the table. For example, a pattern MATCH (p:Person)-[:LIVES_IN]->(c:City) will generate a two-column output table.
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.
In SQL the UNION clause combines the results of two SQL queries into a single table of all matching rows. The two queries must result in the same number of columns and compatible data types in order to unite. Any duplicate records are automatically removed unless UNION ALL is used.