Annonce en lien avec l’Action/le Réseau : aucun
Laboratoire/Entreprise : LeanXcale
Durée : 1 year
Contact : Patrick.Valduriez@inria.fr
Date limite de publication : 2019-03
Contexte :
LeanXcale is a NewSQL company developing a scalable Hybrid Transactional Analytics Processing (HTAP) DBMS for both OLTP and OLAP workloads. This postdoc position is in collaboration with the Zenith team at Inria.
Sujet :
You will work with the R&D team in one or more of the different subsystems of LeanXcale database (storage engine, transactional engine, SQL query engine). Depending on the candidate background, the focus of the work will be one or more of the following:
• Extend the query engine with new functionality (introduce support for SQL not yet supported, extend SQL with polyglot capabilities).
• Work on query optimization (characterize cases where the optimizer does not select the optimal query plan and introduce rules and transformations so the optimizer selects the optimal plan).
• Work on a new query optimizer using new technology.
• Improve the functionality of the storage engine.
• Characterize the performance issues on any of the layers, redesign algorithms, subsystems, etc. in order to solve the performance issue, and validate the new design by means of micro-benchmarking and benchmarking.
Profil du candidat :
Background in databases, query processing, query optimization, storage engine (either SQL or NoSQL)
Formation et compétences requises :
A Ph.D. in computer science around a database topic (SQL or NoSQL)
Adresse d’emploi :
LeanXcale, Madrid, Spain