Jun 20, 2018 · ABSTRACT. Main memory hash joins are an important category of in-memory joins. However, the performance of these joins can be hindered.
Jun 18, 2018 · We show that hash joins are acutely affected by dataset skew, and the performance gets worse with shuffled data. To address these issues, we ...
ABSTRACT. Main memory hash joins are an important category of in-memory joins. However, the performance of these joins can be hindered by dataset skew ...
We conducted a comprehensive study on the efects of dataset skew on four hash join algorithms. We show that hash joins are acutely afected by dataset skew, and ...
Oct 25, 2020 · Puya Memarzia , Suprio Ray, Virendra C. Bhavsar: On Improving Data Skew Resilience In Main-memory Hash Joins. IDEAS 2018: 226-235.
... data and data analytics are driving the need for greater algorithmic efficiency. Parallel main memory hash joins are prescribed to accelerate database joins.
On Improving Data Skew Resilience In Main-memory Hash Joins · Puya MemarziaS ... This work presents the 3D Hash Join to efficiently evaluate main-memory hash ...
Jan 23, 2022 · Join skew occurs only within queries with joins and leads to one or more servers running “hot” and queries run longer than expected as some machines have to ...
Missing: Resilience | Show results with:Resilience
• main question: is tuning to modern hardware worth it? • goal: perform own benchmarks on these algorithms. • only main memory hash joins are considered.
This paper experimentally revisit the state-of-the-art hash join algorithms on Xeon Phi and shows hardware oblivious algorithms can outperform hardware ...