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Multi-dimensional data statistics for columnar in-memory databases
2014
Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14
The research presented here studies the multi-dimensional data statistics in the context of columnar in-memory database systems. Such systems, for example SAP HANA [4], SQL Server Apollo, or IBM BLU, use an order-preserving dictionary with dense encoding on the read-optimized storage which encodes the values of a single column in an ordered, dense-domain dictionary. The dictionary maps variablelength domain values to fixed-size dictionary entries. This encoding reduces memory consumption as
doi:10.1145/2588555.2612663
dblp:conf/sigmod/Kroetsch14
fatcat:iagxzzyr7jam5gzvhh27fxujjm