DHive: Query Execution Performance Analysis via Dataflow in Apache Hive
Summary: DHive provides dataflow-based visual analysis across query/job/task levels to expose root causes of slow Hive executions instead of mere time breakdowns. It links data movement with config and hardware metrics to pinpoint bottlenecks; open-source. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Chaozu Zhang
- 2. Qiaomu Shen
- 3. Bo Tang
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,472 | VQLens: A Demonstration of Vector Query Execution Analysis | 2025 | SIGMOD | 4.1905499e-05 |
| 10,577 | QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach | 2025 | VLDB | 4.1905499e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,024 | DBSherlock: A Performance Diagnostic Tool for Transactional Databases | 2016 | SIGMOD | 0.00014601525 |
| 2,140 | Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases | 2020 | VLDB | 9.4565836e-05 |
| 9,691 | GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive | 2022 | SIGMOD | 4.2987288e-05 |
Previous
Page 1 / 1
Next