ACM SIGMOD Record
Comparison of access methods for time-evolving data
ACM Computing Surveys (CSUR)
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
An asymptotically optimal multiversion B-tree
The VLDB Journal — The International Journal on Very Large Data Bases
Join operations in temporal databases
The VLDB Journal — The International Journal on Very Large Data Bases
Multi-dimensional aggregation for temporal data
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
ACM SIGMOD Record
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
ICDE '13 Proceedings of the 2013 IEEE International Conference on Data Engineering (ICDE 2013)
A generic database benchmarking service
ICDE '13 Proceedings of the 2013 IEEE International Conference on Data Engineering (ICDE 2013)
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Managing and accessing temporal data is of increasing importance in industry. So far, most companies model the time dimension on the application layer rather than pushing down the operators to the database, which leads to a significant performance overhead. The goal of this PhD thesis is to develop a native support of temporal features for SAP HANA, which is a commercial in-memory column store database system. We investigate different alternatives to store temporal data physically and analyze the trade-offs arising from different memory layouts which cluster the data either by time or by space dimension. Taking into account the underlying physical representation, different temporal operators such as temporal aggregation, time travel and temporal join have to be executed efficiently. We present a novel data structure called Timeline Index and algorithms based on this index, which have a very competitive performance for all temporal operators beating existing best-of-breed approaches by factors, sometimes even by orders of magnitude. The results of this thesis are currently being integrated into HANA, with the goal of being shipped to the customers as a productive release within the next few months.