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 | 19 | 31 | 22 | 44 | 27 | 5 | 3 | 13 | 5 | 36 | 12 |
Q1.2 | 24 | 25 | 29 | 32 | 42 | 51 | 5 | 8 | 13 | 21 | 34 | 65 |
Q1.3 | 24 | 19 | 29 | 22 | 43 | 25 | 4 | 2 | 13 | 5 | 35 | 12 |
Q2.1 | 32 | 28 | 47 | 43 | 531 | 50 | 8 | 5 | 19 | 12 | 59 | 37 |
Q2.2 | 31 | 26 | 46 | 41 | 531 | 160 | 7 | 5 | 18 | 10 | 51 | 27 |
Q2.3 | 30 | 26 | 44 | 41 | 531 | 45 | 7 | 4 | 17 | 9 | 49 | 26 |
Q3.1 | 35 | 25 | 59 | 36 | 651 | 66 | 8 | 5 | 29 | 14 | 81 | 44 |
Q3.2 | 30 | 30 | 45 | 50 | 677 | 92 | 6 | 9 | 17 | 31 | 51 | 100 |
Q3.3 | 33 | 36 | 219 | 78 | 665 | 78 | 5 | 9 | 15 | 25 | 43 | 86 |
Q3.4 | 34 | 33 | 222 | 226 | 675 | 81 | 6 | 10 | 15 | 30 | 43 | 91 |
Q4.1 | 38 | 33 | 86 | 70 | 226 | 127 | 13 | 9 | 43 | 24 | 119 | 65 |
Q4.2 | 49 | 30 | 70 | 57 | 141 | 60 | 9 | 4 | 26 | 13 | 69 | 25 |
Q4.3 | 34 | 31 | 54 | 47 | 116 | 72 | 8 | 7 | 23 | 21 | 63 | 60 |
Total | 420 | 362 | 982 | 765 | 4874 | 933 | 92 | 81 | 262 | 220 | 733 | 650 |
DIF | − 14% | − 22% | − 81% | − 12% | − 16% | − 11% |