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SQLAlchemy offers tools for database schema generation, querying, and object-relational mapping. Key features include: A comprehensive embedded domain-specific language for SQL in Python called "SQLAlchemy Core" that provides means to construct and execute SQL queries. A powerful ORM that allows the mapping of Python classes to database tables.
Reserved words in SQL and related products In SQL:2023 [3] In IBM Db2 13 [4] In Mimer SQL 11.0 [5] In MySQL 8.0 [6] In Oracle Database 23c [7] In PostgreSQL 16 [1] In Microsoft SQL Server 2022 [2]
SQL includes operators and functions for calculating values on stored values. SQL allows the use of expressions in the select list to project data, as in the following example, which returns a list of books that cost more than 100.00 with an additional sales_tax column containing a sales tax figure calculated at 6% of the price.
This prevents the comma in the actual field value (Bloggs, Fred; Doe, Jane; etc.) from being interpreted as a field separator. This necessitates a way to "escape" the field wrapper itself, in this case the double quote; it is customary to double the double quotes actually contained in a field as with those surrounding "Hank".
Conversely, an inner join can result in disastrously slow performance or even a server crash when used in a large volume query in combination with database functions in an SQL Where clause. [2] [3] [4] A function in an SQL Where clause can result in the database ignoring relatively compact table indexes. The database may read and inner join the ...
Built-in associative arrays require immutable keys. The ~= operator appends a new dstring to the values of the associate dynamic array. toLower, join and chomp are string functions that D allows the use of with a method syntax. The name of such functions are often similar to Python string methods.
SQL Server, since SQL Server 2005 shards with help of 3rd party tools. [24] Teradata markets a massive parallel database management system as a "data warehouse" Vault, a cryptocurrency, shards to drastically reduce the data that users need to join the network and verify transactions. This allows the network to scale much more.
For this purpose, m - 1 keys from the current node, the new key inserted, one key from the parent node and j keys from the sibling node are seen as an ordered array of m + j + 1 keys. The array becomes split by half, so that ⌊ (m + j + 1)/2 ⌋ lowest keys stay in the current node, the next (middle) key is inserted in the parent and the rest ...