From: Evaluating partitioning and bucketing strategies for Hive-based Big Data Warehousing systems
SF = 30 | SF = 100 | SF = 300 | SF = 30 | SF = 100 | SF = 300 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
HIVE | PRESTO | |||||||||||
SS | SS-PB | SS | SS-PB | SS | SS-PB | SS | SS-PB | SS | SS-PB | SS | SS-PB | |
Q1.1 | 25 | 22 | 31 | 32 | 44 | 48 | 5 | 6 | 13 | 24 | 36 | 36 |
Q1.2 | 24 | 23 | 29 | 29 | 42 | 47 | 5 | 6 | 13 | 23 | 34 | 37 |
Q1.3 | 24 | 23 | 29 | 30 | 43 | 46 | 4 | 6 | 13 | 22 | 35 | 37 |
Q2.1 | 32 | 25 | 47 | 39 | 531 | 44 | 8 | 4 | 19 | 10 | 59 | 19 |
Q2.2 | 31 | 21 | 46 | 39 | 531 | 143 | 7 | 4 | 18 | 9 | 51 | 14 |
Q2.3 | 30 | 21 | 44 | 38 | 531 | 42 | 7 | 4 | 17 | 9 | 49 | 13 |
Q3.1 | 35 | 23 | 59 | 37 | 651 | 67 | 8 | 4 | 29 | 15 | 81 | 28 |
Q3.2 | 30 | 29 | 45 | 46 | 677 | 96 | 6 | 7 | 17 | 33 | 51 | 52 |
Q3.3 | 33 | 33 | 219 | 219 | 665 | 77 | 5 | 7 | 15 | 29 | 43 | 46 |
Q3.4 | 34 | 32 | 222 | 220 | 675 | 75 | 6 | 7 | 15 | 29 | 43 | 45 |
Q4.1 | 38 | 30 | 86 | 61 | 226 | 118 | 13 | 7 | 43 | 22 | 119 | 36 |
Q4.2 | 49 | 34 | 70 | 58 | 141 | 67 | 9 | 5 | 26 | 17 | 69 | 26 |
Q4.3 | 34 | 34 | 54 | 60 | 116 | 110 | 8 | 11 | 23 | 44 | 63 | 63 |
Total | 420 | 349 | 982 | 908 | 4874 | 982 | 92 | 77 | 262 | 285 | 733 | 452 |
Diff | − 17% | − 8% | − 80% | − 16% | 9% | − 38% |