Java DB

Apache Derby

Derby Developer's Guide

Derby Getting Started
Derby Reference Manual
Derby Developer's Guide
Derby Performance Tuning
Derby Server and Admin Guide
Derby Tools and Utilities
Derby Developer's Guide
-After installing
-Upgrades
-JDBC applications and Derby basics
-Application development overview
-Derby embedded basics
-Derby JDBC driver
-Derby JDBC database connection URL
-Derby system
-A Derby database
-Connecting to databases
-Working with the database connection URL attributes
-Using in-memory databases
-Working with Derby properties
-Deploying Derby applications
-Deployment issues
-Creating Derby databases for read-only use
-Loading classes from a database
-Derby server-side programming
-Programming database-side JDBC routines
-Programming trigger actions
-Programming Derby-style table functions
-Programming user-defined types
-Controlling Derby application behavior
-The JDBC connection and transaction model
-Result set and cursor mechanisms
-Locking, concurrency, and isolation
-Working with multiple connections to a single database
-Working with multiple threads sharing a single connection
-Working with database threads in an embedded environment
-Working with Derby SQLExceptions in an application
-Using Derby as a J2EE resource manager
-Derby and Security
-Configuring security for your environment
-Working with user authentication
-Users and authorization identifiers
-User authorizations
-Encrypting databases on disk
-Signed jar files
-Notes on the Derby security features
-User authentication and authorization examples
-Running Derby under a security manager
-Developing tools and using Derby with an IDE
-SQL tips
-Localizing Derby
-Derby and standards

 

Multi-user database access

Multi-user database access is possible if Derby is running inside a server framework.

If more than one client application tries to modify the same data, the connection that gets the table first gets the lock on the data (either specific rows or the entire table). The second connection has to wait until the first connection commits or rolls back the transaction in order to access the data. If two connections are only querying and not modifying data, they can both access the same data at the same time because they can each get a shared lock.

 

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