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Java Database Connectivity (JDBC) is an application programming interface (API) for the Java programming language which defines how a client may access a database.It is a Java-based data access technology used for Java database connectivity.
A database connection is a facility in computer science that allows client software to talk to database server software, whether on the same machine or not. A connection is required to send commands and receive answers, usually in the form of a result set. Connections are a key concept in data-centric programming.
A JDBC driver is a software component enabling a Java application to interact with a database. [1] JDBC drivers are analogous to ODBC drivers, ADO.NET data providers, and OLE DB providers. To connect with individual databases, JDBC (the Java Database Connectivity API) requires drivers for each database.
A JDBC-ODBC bridge consists of a JDBC driver which employs an ODBC driver to connect to a target database. This driver translates JDBC method calls into ODBC function calls. Programmers usually use such a bridge when a given database lacks a JDBC driver, but is accessible through an ODBC driver.
The SQuirreL SQL Client is a database administration tool. It uses JDBC to allow users to explore and interact with databases via a JDBC driver. It provides an editor that offers code completion and syntax highlighting for standard SQL.
Most commonly used in connection with ODBC, DSNs also exist for JDBC and for other data access mechanisms. The term often overlaps with "connection string". Most systems do not make a distinction between DSNs or connection strings and the term can often be used interchangeably. [1] DSN attributes may include, but are not limited to: [2]
A datasource or DataSource is a name given to the connection set up to a database from a server.The name is commonly used when creating a query to the database. The data source name (DSN) need not be the same as the filename for the database.
Without connection pooling mechanisms (e.g., HikariCP, pgbouncer), idle or excessive connections can strain database resources. Virtual Machine-Based Environments: AWS EC2 instances scale connection demand with the number of instances. Manual or automated tuning of connection pool parameters is essential to prevent exceeding database limits.