From: Evaluating partitioning and bucketing strategies for Hive-based Big Data Warehousing systems
SF = 30 | SF = 100 | SF = 30 | SF = 100 | |||||
---|---|---|---|---|---|---|---|---|
HIVE | PRESTO | |||||||
SS | SS-P | SS | SS-P | SS | SS-P | SS | SS-P | |
Q1.1 | 25 | 32 | 31 | 41 | 5 | 11 | 13 | 36 |
Q1.2 | 24 | 31 | 29 | 44 | 5 | 11 | 13 | 37 |
Q1.3 | 24 | 30 | 29 | 43 | 4 | 11 | 13 | 35 |
Q2.1 | 32 | 30 | 47 | 46 | 8 | 4 | 19 | 10 |
Q2.2 | 31 | 29 | 46 | 43 | 7 | 4 | 18 | 10 |
Q2.3 | 30 | 30 | 44 | 45 | 7 | 4 | 17 | 9 |
Q3.1 | 35 | 28 | 59 | 38 | 8 | 4 | 29 | 11 |
Q3.2 | 30 | 24 | 45 | 28 | 6 | 2 | 17 | 4 |
Q3.3 | 33 | 27 | 219 | 35 | 5 | 2 | 15 | 3 |
Q3.4 | 34 | 26 | 222 | 33 | 6 | 2 | 15 | 3 |
Q4.1 | 38 | 37 | 86 | 79 | 13 | 6 | 43 | 16 |
Q4.2 | 49 | 42 | 70 | 63 | 9 | 5 | 26 | 14 |
Q4.3 | 34 | 30 | 54 | 45 | 8 | 3 | 23 | 5 |
Total | 420 | 396 | 982 | 582 | 92 | 70 | 262 | 193 |
Diff. | − 6% | − 41% | − 24% | − 26% |