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SQL: update percentile tests to reflect the t-digest upgrade

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The commit to t-digest 3.2 elastic/x-pack-elasticsearch#28305, changed the results of percentiles
(more information https://github.com/elastic/elasticsearch/pull/28305
#issuecomment-362542140)
This commit updates the tests accordingly.

Original commit: elastic/x-pack-elasticsearch@f2351ce747
This commit is contained in:
Costin Leau 2018-02-15 17:43:24 +02:00
parent bad812d920
commit f04036a1bd
2 changed files with 4 additions and 4 deletions
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6
qa/sql/src/main/resources/agg.csv-spec
View File

@ -22,7 +22,7 @@ multiplePercentilesOneWithCommaOneWithout
SELECT gender, PERCENTILE(emp_no, 92.45) p1, PERCENTILE(emp_no, 91) p2 FROM test_emp GROUP BY gender; 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 gender:s | p1:d | p2:d
M | 10090.319 | 10087.68 M | 10090.319 | 10089.320000000002
F | 10095.128 | 10093.52 F | 10095.128 | 10093.52
; ;
@ -30,7 +30,7 @@ multiplePercentilesWithoutComma
SELECT gender, PERCENTILE(emp_no, 91) p1, PERCENTILE(emp_no, 89) p2 FROM test_emp GROUP BY gender; SELECT gender, PERCENTILE(emp_no, 91) p1, PERCENTILE(emp_no, 89) p2 FROM test_emp GROUP BY gender;
gender:s | p1:d | p2:d gender:s | p1:d | p2:d
M | 10087.68 | 10085.18 M | 10089.320000000002 | 10085.18
F | 10093.52 | 10092.08 F | 10093.52 | 10092.08
; ;
@ -63,7 +63,7 @@ SELECT gender, PERCENTILE(emp_no, 97.76) p1, PERCENTILE(emp_no, 93.3) p2, PERCEN
gender:s | p1:d | p2:d | rank:d gender:s | p1:d | p2:d | rank:d
M | 10095.6112 | 10090.846 | 23.41269841269841 M | 10095.6112 | 10090.846 | 23.41269841269841
F | 10099.1936 | 10096.351999999999 | 26.351351351351347 F | 10099.1936 | 10098.021 | 26.351351351351347
; ;
// Simple sum used in documentation // Simple sum used in documentation

2
qa/sql/src/main/resources/columns.csv-spec
View File

@ -10,6 +10,6 @@ columnDetectionOverride
SELECT gender, FLOOR(PERCENTILE(emp_no, 97.76)) p1 FROM test_emp GROUP BY gender; SELECT gender, FLOOR(PERCENTILE(emp_no, 97.76)) p1 FROM test_emp GROUP BY gender;
gender:s | p1:l gender:s | p1:l
M | 10095 M | 10096
F | 10099 F | 10099
; ;