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agg.csv-spec
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agg.csv-spec
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//
// Aggs not supported by H2 / traditional SQL stores
//
singlePercentileWithoutComma
SELECT gender, PERCENTILE(emp_no, 97) p1 FROM test_emp GROUP BY gender;
gender:s | p1:d
null |10019.0
F |10099.51
M |10095.789999999999
;
singlePercentileWithComma
SELECT gender, PERCENTILE(emp_no, 97.76) p1 FROM test_emp GROUP BY gender;
gender:s | p1:d
null |10019.0
F |10099.51
M |10095.789999999999
;
multiplePercentilesOneWithCommaOneWithout
SELECT gender, PERCENTILE(emp_no, 92.45) p1, PERCENTILE(emp_no, 91) p2 FROM test_emp GROUP BY gender;
gender:s | p1:d | p2:d
null |10018.745 |10018.599999999999
F |10098.0085 |10096.119999999999
M |10091.393 |10090.37
;
multiplePercentilesWithoutComma
SELECT gender, PERCENTILE(emp_no, 91) p1, PERCENTILE(emp_no, 89) p2 FROM test_emp GROUP BY gender;
gender:s | p1:d | p2:d
null |10018.599999999999 |10018.4
F |10096.119999999999 |10093.74
M |10090.37 |10086.92
;
multiplePercentilesWithComma
SELECT gender, PERCENTILE(emp_no, 85.7) p1, PERCENTILE(emp_no, 94.3) p2 FROM test_emp GROUP BY gender;
gender:s | p1:d | p2:d
null |10018.070000000002 |10018.929999999998
F |10091.343 |10098.619
M |10084.349 |10093.502
;
percentileRank
SELECT gender, PERCENTILE_RANK(emp_no, 10025) rank FROM test_emp GROUP BY gender;
gender:s | rank:d
null |100.0
F |17.424242424242426
M |15.350877192982457
;
multiplePercentileRanks
SELECT gender, PERCENTILE_RANK(emp_no, 10030.0) rank1, PERCENTILE_RANK(emp_no, 10025) rank2 FROM test_emp GROUP BY gender;
gender:s | rank1:d | rank2:d
null |100.0 |100.0
F |21.445221445221442 |17.424242424242426
M |21.929824561403507 |15.350877192982457
;
multiplePercentilesAndPercentileRank
SELECT gender, PERCENTILE(emp_no, 97.76) p1, PERCENTILE(emp_no, 93.3) p2, PERCENTILE_RANK(emp_no, 10025) rank FROM test_emp GROUP BY gender;
gender:s | p1:d | p2:d | rank:d
null |10019.0 |10018.83 |100.0
F |10099.7608 |10098.289 |17.424242424242426
M |10096.2232 |10092.362 |15.350877192982457
;
sum
SELECT SUM(salary) FROM test_emp;
SUM(salary)
---------------
4824855
;
aggregateWithCastPruned
SELECT CAST(SUM(salary) AS INTEGER) FROM test_emp;
SUM(salary)
-------------
4824855
;
aggregateWithUpCast
SELECT CAST(SUM(salary) AS DOUBLE) FROM test_emp;
CAST(SUM(salary) AS DOUBLE)
-----------------------------
4824855.0
;
aggregateWithCastNumericToString
SELECT CAST(AVG(salary) AS VARCHAR) FROM test_emp;
CAST(AVG(salary) AS VARCHAR):s
--------------------------------
48248.55
;
kurtosisAndSkewnessNoGroup
SELECT KURTOSIS(emp_no) k, SKEWNESS(salary) s FROM test_emp;
k:d | s:d
1.7997599759975997 | 0.2707722118423227
;
kurtosisAndSkewnessGroup
SELECT gender, KURTOSIS(salary) k, SKEWNESS(salary) s FROM test_emp GROUP BY gender;
gender:s | k:d | s:d
null |2.2215791166941923 |-0.03373126000214023
F |1.7873117044424276 |0.05504995122217512
M |2.280646181070106 |0.44302407229580243
;
nullAggs
SELECT MAX(languages) max, MIN(languages) min, SUM(languages) sum, AVG(languages) avg,
PERCENTILE(languages, 80) percent, PERCENTILE_RANK(languages, 3) percent_rank,
KURTOSIS(languages) kurtosis, SKEWNESS(languages) skewness
FROM test_emp GROUP BY languages ORDER BY languages ASC LIMIT 5;
max:bt | min:bt | sum:bt | avg:bt | percent:d | percent_rank:d| kurtosis:d | skewness:d
---------------+---------------+---------------+---------------+---------------+---------------+---------------+---------------
null |null |null |null |null |null |null |null
1 |1 |15 |1 |1.0 |100.0 |NaN |NaN
2 |2 |38 |2 |2.0 |100.0 |NaN |NaN
3 |3 |51 |3 |3.0 |100.0 |NaN |NaN
4 |4 |72 |4 |4.0 |0.0 |NaN |NaN
;