Search results
Results from the WOW.Com Content Network
SQLAlchemy is an open-source Python library that provides an SQL toolkit (called "SQLAlchemy Core") and an Object Relational Mapper (ORM) for database interactions. It allows developers to work with databases using Python objects, enabling efficient and flexible database access.
There is a variable defined to hold the currently assigned low value and it is assigned the value of the maximum low value plus 1 (one). The steps are: If the currently assigned low value is greater or equal than the maximum low value then call a function to fetch a new high value and reset the currently assigned low value to 0 (zero).
Each table is represented as a separate file in the destination directory, and there is a "data definition" file as well (a list of data definition declarations). During active use a log file appears in the active directory as well, and if the process crashes this log file is used to recover committed operations.
Supported data types include scalar value types such as boolean, string, number, integer, and floating-point numbers. It also supports temporal types like datetime, localdatetime, date, time, localtime, and duration. Container data types for maps and lists are available, along with graph types for node, relationship, path, and a void type. [5]
To use cursors in SQL procedures, you need to do the following: Declare a cursor that defines a result set; Open the cursor to establish the result set; Fetch the data into local variables as needed from the cursor, one row at a time; Close the cursor when done; To work with cursors you must use the following SQL statements
The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".
An alternative to implementing ORM is use of the native procedural languages provided with every major database. These can be called from the client using SQL statements. The Data Access Object (DAO) design pattern is used to abstract these statements and offer a lightweight object-oriented interface to the rest of the application. [5]
The SQL market referred to this as static SQL, versus dynamic SQL which could be changed at any time, like the command-line interfaces that shipped with almost all SQL systems, or a programming interface that left the SQL as plain text until it was called. Dynamic SQL systems became a major focus for SQL vendors during the 1980s.