Viewing profile — byteshift

We index geospatial data using a learned index in this work (cf. Section 3): http://cidrdb.org/cidr2021/papers/cidr2021_paper19.pdf Code: https://github.com/learnedsystems/RadixSpl…

For a detailed study of learned indexes, see this work: https://vldb.org/pvldb/vol14/p1-marcus.pdf All code is available in open source: https://github.com/learnedsystems/SOSD

My understanding is that this is even feasible without location information if you use an approximate filter (e.g., a Cuckoo Filter [1]), which they propose in DP-3T (II). With 20 …

For this year's contest, the task is to evaluate batches of database join queries on a set of pre-defined relations. The challenge is to execute the queries as fast as possible wit…

Cool stuff! We actually built a similar system to analyze the NYC taxi dataset (or any other geospatial dataset). We use the (PostgreSQL wire protocol compliant) HyPerSpace databas…