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Azure SQL Database defines connection limits based on the selected tier, while Azure SQL Managed Instance enforces limits based on allocated resources, such as CPU, memory, or vCores. When connection pool configurations exceed these limits, issues such as rejected connections, throttling, or degraded performance can occur.
A pool of database connections can be created and then shared among the applications that need to access the database. The connection object obtained from the connection pool is often a wrapper around the actual database connection. The wrapper understands its relationship with the pool, and hides the details of the pool from the application.
The object pool design pattern is used in several places in the standard classes of the .NET Framework. One example is the .NET Framework Data Provider for SQL Server. As SQL Server database connections can be slow to create, a pool of connections is maintained. Closing a connection does not actually relinquish the link to SQL Server.
DSNs collect additional information needed to connect to a specific data source, versus the DBMS itself. For instance, the same MySQL driver can be used to connect to any MySQL server, but the connection information to connect to a local private server is different from the information needed to connect to an internet-hosted public server. The ...
DriverManager is used as a Connection factory for creating JDBC connections. JDBC connections support creating and executing statements. JDBC connections support update statements such as SQL's CREATE, INSERT, UPDATE and DELETE, or query statements such as SELECT. Additionally, stored procedures may be invoked through a JDBC connection.
Object pooling is a software design pattern that keeps a pool of initialized objects ready that are ready to be used, rather than allocating and destroying them on demand. Connection pooling in computer science is a caching technique used to enhance the performance of executing commands on a database.
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Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.