Recovery from "bad" user transactions
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Lazy database replication with snapshot isolation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Bridging relational database history and the web: the XML approach
WIDM '06 Proceedings of the 8th annual ACM international workshop on Web information and data management
A case for flash memory ssd in enterprise database applications
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
ArchIS: an XML-based approach to transaction-time temporal database systems
The VLDB Journal — The International Journal on Very Large Data Bases
Transaction time indexing with version compression
Proceedings of the VLDB Endowment
Data & Knowledge Engineering
Concurrency control and recovery for multiversion database structures
Proceedings of the 2nd PhD workshop on Information and knowledge management
Transactions on the multiversion B+-tree
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Concurrent updating transactions on versioned data
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Proceedings of the 13th International Conference on Extending Database Technology
Scalable architecture and query optimization fortransaction-time DBs with evolving schemas
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
x-RDF-3X: fast querying, high update rates, and consistency for RDF databases
Proceedings of the VLDB Endowment
Efficient audit-based compliance for relational data retention
Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security
Auditing a database under retention policies
The VLDB Journal — The International Journal on Very Large Data Bases
Timeline index: a unified data structure for processing queries on temporal data in SAP HANA
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
ADC '13 Proceedings of the Twenty-Fourth Australasian Database Conference - Volume 137
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Transaction time databases retain and provide access to prior states of a database. An update "inserts" a new record while preserving the old version. Immortal DB builds transaction time database support into a database engine, not in middleware. It supports as of queries returning records current at the specified time. It also supports snapshot isolation concurrency control. Versions are stamped with the "clock times" of their updating transactions. The timestamp order agrees with transaction serialization order. Lazy timestamping propagates timestamps to transaction updates after commit. Versions are kept in an integrated storage structure, with historical versions initially stored with current data. Time-splits of pages permit large histories to be maintained, and enable time based indexing, which is essential for high performance historical queries. Experiments show that Immortal DB introduces little overhead for accessing recent database states while providing access to past states.