Search results
Results from the WOW.Com Content Network
In SQL, the TRUNCATE TABLE statement is a Data Definition Language (DDL) operation that deletes all rows of a table without causing a triggered action. [1] The result of this operation quickly removes all data from a table , typically bypassing a number of integrity enforcing mechanisms.
Deleting all rows from a table can be very time-consuming. Some DBMS [clarification needed] offer a TRUNCATE TABLE command that works a lot quicker, as it only alters metadata and typically does not spend time enforcing constraints or firing triggers. DELETE only deletes the rows. For deleting a table entirely the DROP command can be used.
However, delete and update operations are more problematic: deletes must leave an empty space, or the rows' offsets would change; the same goes for updates, as the length of the rows becomes shorter; if the update makes the row longer, the row is fragmented. To defragment rows and claim empty space, the OPTIMIZE TABLE command must be executed.
MySQL Workbench 5.0 and 5.1 are specialized visual database design tools for the MySQL database. While MySQL Workbench 5.0 was a MS Windows-only product, cross-platform support was added to MySQL Workbench 5.1 and later.
Create/alter table: Yes - can create table, alter its definition and data, and add new rows; Some - can only create/alter table definition, not data; Browse table: Yes - can browse table definition and data; Some - can only browse table definition; Multi-server support: Yes - can manage from the same window/session multiple servers
The active record pattern is an approach to accessing data in a database. A database table or view is wrapped into a class. Thus, an object instance is tied to a single row in the table. After creation of an object, a new row is added to the table upon save. Any object loaded gets its information from the database.
Ohio State fans don’t want to hear this, because losing four in row to Michigan cuts deep, but it could be worse. You could do worse than Ryan Day. Cheer up, Ohio State fans.
Database Workbench supports the following relational databases: Oracle Database, Microsoft SQL Server, SQL Anywhere, Firebird, NexusDB, InterBase, MySQL, MariaDB, SQLite and PostgreSQL [14] [15] [16] Version 6 of Database Workbench is a 64-bit application for Windows platforms, previous versions were 32-bit. [17]