An amateur's introduction to recursive query processing strategies
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
A method for hierarchy processing in relational systems
Information Systems
Nomenclator descriptive query optimization for large X.500 environments
SIGCOMM '91 Proceedings of the conference on Communications architecture & protocols
LDAP: programming directory-enabled applications with lightweight directory access protocol
LDAP: programming directory-enabled applications with lightweight directory access protocol
An Efficient Relational Implementation of Recursive Relationships using Path Signatures
Proceedings of the Tenth International Conference on Data Engineering
Direct Algorithms for Computing the Transitive Closure of Database Relations
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Research: The performance of SQL queries to an X.500 directory system
Computer Communications
Storage and Querying of E-Commerce Data
Proceedings of the 27th International Conference on Very Large Data Bases
IEICE - Transactions on Information and Systems
A nested transaction model for LDAP transactions
ICDCIT'04 Proceedings of the First international conference on Distributed Computing and Internet Technology
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LDAP (Lightweight Directory Access Protocol) is a technology that can provide directory services to a range of applications. Directory service, a critical part of distributed computing, is the central point where network services, security services, and applications can form an integrated distributed computing environment. The simplicity of LDAP enables users to store and retrieve data easily from the directory. Nevertheless, as the use of directory services becomes more widespread, directories will need to scale to support millions of entries and millions of user requests with subsecond predictable performance. LDAP directories can be implemented using various storage mechanisms such as flat files, b-trees, or databases. This paper discusses an implementation of LDAP that uses the IBM DATABASE 2TM relational database as the data store and query engine to meet the directory service requirements. Performance analysis is provided to show that a relational database can be used to successfully meet the performance and scale needs of an LDAP directory while remaining secure and competitive with other vendor implementations.