PosDB: A Distributed Column-Store Engine

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10742)


In this paper we present a novel disk-based distributed column-store, describe its architecture and discuss a number of technical solutions. Our system is essentially a query engine which was written completely from scratch. It is aimed for shared-nothing environments and supports different forms of parallel query processing.

Query processing in PosDB is organized according to the classic Volcano pull-based model which is adapted for the column-store case. Currently, we support late materialization only, and therefore employ a join index data structure to represent positional information. In our system query plan can consist of both positional and value operators. PosDB has about a dozen of core operators among which several variants of selections and joins, aggregation. We also have several operators that ensure intra-query parallelism and operators for network interoperability. In its current state the system is fully capable of processing the Star Schema Benchmark in a local and distributed environment.


Column Stores Star Schema Benchmark Query Plan Shared-nothing Environment Tuple Reconstruction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Saint-Petersburg UniversitySaint-PetersburgRussia
  2. 2.JetBrains ResearchSaint-PetersburgRussia

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