| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| spark sql percentile | 0.84 | 0.8 | 52 | 51 | 20 |
| spark | 0.05 | 0.4 | 9900 | 2 | 5 |
| sql | 1.18 | 0.3 | 2203 | 22 | 3 |
| percentile | 0.27 | 0.5 | 1038 | 81 | 10 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| spark sql percentile | 1.64 | 0.9 | 6709 | 79 |
| spark sql percentile_approx | 1.48 | 0.3 | 9621 | 16 |
| spark sql percentile rank | 0.93 | 1 | 4769 | 74 |
| spark sql percentile function | 0.45 | 0.3 | 4399 | 7 |
| spark sql percentile group by | 1.71 | 0.8 | 6939 | 61 |
| apache spark sql percentile | 2 | 0.9 | 7169 | 21 |
| spark sql approx_percentile | 0.88 | 0.1 | 901 | 24 |
| spark sql group by | 1.43 | 0.3 | 3945 | 83 |
| spark sql group by count | 0.9 | 0.6 | 9843 | 9 |
| sql percentile group by | 1.04 | 0.9 | 155 | 23 |
| how to calculate percentage in spark sql | 2 | 0.6 | 5850 | 85 |
| spark sql distinct group by | 0.6 | 0.7 | 8737 | 42 |
| spark sql group by map | 0.26 | 0.1 | 199 | 15 |
| spark sql group by multiple columns | 1.05 | 0.4 | 5200 | 83 |
| spark sql grouping set | 0.75 | 0.1 | 8272 | 93 |
| spark sql group by array | 1.58 | 0.7 | 4646 | 77 |
| spark approx_percentile | 0.14 | 0.7 | 9052 | 41 |
| spark percentile_approx | 1.29 | 1 | 4567 | 22 |
| spark sql grouping_id | 1.12 | 0.6 | 5237 | 87 |
