From: Evaluating partitioning and bucketing strategies for Hive-based Big Data Warehousing systems
SF = 30 | SF = 100 | SF = 30 | SF = 100 | |||||
---|---|---|---|---|---|---|---|---|
HIVE | PRESTO | |||||||
DT | DT-PB | DT | DT-PB | DT | DT-PB | DT | DT-PB | |
Q1.1 | 24 | 19 | 29 | 23 | 5 | 2 | 13 | 5 |
Q1.2 | 24 | 22 | 29 | 44 | 5 | 3 | 14 | 8 |
Q1.3 | 23 | 18 | 30 | 25 | 5 | 3 | 14 | 6 |
Q2.1 | 25 | 20 | 36 | 25 | 4 | 2 | 10 | 6 |
Q2.2 | 36 | 22 | 73 | 35 | 4 | 2 | 10 | 5 |
Q2.3 | 25 | 19 | 35 | 24 | 4 | 2 | 10 | 4 |
Q3.1 | 28 | 19 | 40 | 27 | 5 | 2 | 12 | 6 |
Q3.2 | 28 | 23 | 41 | 47 | 5 | 3 | 12 | 11 |
Q3.3 | 25 | 23 | 38 | 45 | 4 | 3 | 9 | 12 |
Q3.4 | 25 | 25 | 38 | 51 | 5 | 4 | 12 | 13 |
Q4.1 | 27 | 20 | 41 | 28 | 6 | 3 | 14 | 7 |
Q4.2 | 29 | 15 | 42 | 22 | 6 | 2 | 14 | 3 |
Q4.3 | 29 | 21 | 42 | 29 | 5 | 2 | 12 | 5 |
Total | 349 | 265 | 516 | 424 | 63 | 33 | 155 | 90 |
Diff | − 24% | − 18% | − 47% | − 42% |