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Code Activity

MCOL-5333: Full MTR tests for custom Build (#2732)

Browse Source 
* Add MTR_SUITE_LIST

* Typo

* Add data download

* Install tar and lz4

* Change the way MTR_SUITE_LIST is set up

* Use bash for MTR_SUITE_LIST

* Another one

* Fix reference results for full MTR develop, disable broken JSON test and tests with 10GB database

* Fix timestamps and truncate cos

* Fix some more references

* Fix dokcerhub step for custom build

* One more fix for dockerhub step on custom build

* Fix tests for regr functions with truncate

* Full mtr set on nghtly + MTR_FULL_SET flag

* One more fix for dockerhub

* Fix MTR_FULL_SET

* Testing MTR_FULL_SET

* sorted_result in tests + fix typo

* Truncate even more

* Typo

* truncate 2 more tests

* Disable regr_* functions tests

* fix setup mtr step

* correct settings for table creation

* Put setup for tests into drone

* Fix for debian based distros

* More truncates

* Disable the rest

---------

Co-authored-by: Leonid Fedorov <leonid.fedorov@mariadb.com>
This commit is contained in:
Andrey Piskunov
2023-02-27 12:42:48 +02:00
committed by GitHub
parent 71a6f691fd
commit 8671f55784
46 changed files with 2705216 additions and 2702901 deletions
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54
mysql-test/columnstore/devregression/r/mcs7099_regression_bug3554.result
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@ -620,18 +620,18 @@ avg(d131) min(d131) max(d131) avg2 min2 max2
select avg(d132), min(d132), max(d132), (100/1000000) * avg(d132) avg2, 0.0001 * min(d132) min2, max(d132)/10000 max2 from dtypes;
avg(d132) min(d132) max(d132) avg2 min2 max2
191.9727363410021500 -999.999999999999 999.999999999999 0.01919727363410021500 -0.0999999999999999 0.0999999999999999
select avg(d133), min(d133), max(d133), (100/1000000) * avg(d133) avg2, 0.0001 * min(d133) min2, max(d133)/10000 max2 from dtypes;
avg(d133) min(d133) max(d133) avg2 min2 max2
31.27990634100227201 -99.9999999999999 99.9999999999999 0.003127990634100227201 -0.00999999999999999 0.00999999999999999
select avg(d134), min(d134), max(d134), (100/1000000) * avg(d134) avg2, 0.0001 * min(d134) min2, max(d134)/10000 max2 from dtypes;
avg(d134) min(d134) max(d134) avg2 min2 max2
4.061669341002296601 -9.99999999999999 9.99999999999999 0.0004061669341002296601 -0.000999999999999999 0.000999999999999999
select avg(d135), min(d135), max(d135), (100/1000000) * avg(d135) avg2, 0.0001 * min(d135) min2, max(d135)/10000 max2 from dtypes;
avg(d135) min(d135) max(d135) avg2 min2 max2
0.5711782763422995403 -0.999999999999999 0.999999999999999 0.00005711782763422995403 -0.0000999999999999999 0.0000999999999999999
select avg(d136), min(d136), max(d136), (100/1000000) * avg(d136) avg2, 0.0001 * min(d136) min2, max(d136)/10000 max2 from dtypes;
avg(d136) min(d136) max(d136) avg2 min2 max2
451548.7900 -2233 5860521 45.15487900 -0.2233 586.0521
select truncate(avg(d133), 10), min(d133), max(d133), truncate((100/1000000) * avg(d133), 10) avg2, 0.0001 * min(d133) min2, max(d133)/10000 max2 from dtypes;
truncate(avg(d133), 10) min(d133) max(d133) avg2 min2 max2
31.2799063410 -99.9999999999999 99.9999999999999 0.0031279906 -0.00999999999999999 0.00999999999999999
select truncate(avg(d134), 10), min(d134), max(d134), truncate((100/1000000) * avg(d134), 10) avg2, 0.0001 * min(d134) min2, max(d134)/10000 max2 from dtypes;
truncate(avg(d134), 10) min(d134) max(d134) avg2 min2 max2
4.0616693410 -9.99999999999999 9.99999999999999 0.0004061669 -0.000999999999999999 0.000999999999999999
select truncate(avg(d135), 10), min(d135), max(d135), truncate((100/1000000) * avg(d135), 10) avg2, 0.0001 * min(d135) min2, max(d135)/10000 max2 from dtypes;
truncate(avg(d135), 10) min(d135) max(d135) avg2 min2 max2
0.5711782763 -0.999999999999999 0.999999999999999 0.0000571178 -0.0000999999999999999 0.0000999999999999999
select truncate(avg(d136), 10), min(d136), max(d136), truncate((100/1000000) * avg(d136), 10) avg2, 0.0001 * min(d136) min2, max(d136)/10000 max2 from dtypes;
truncate(avg(d136), 10) min(d136) max(d136) avg2 min2 max2
451548.7900000000 -2233 5860521 45.1548790000 -0.2233 586.0521
select avg(d137), min(d137), max(d137), (100/1000000) * avg(d137) avg2, 0.0001 * min(d137) min2, max(d137)/10000 max2 from dtypes;
avg(d137) min(d137) max(d137) avg2 min2 max2
451548.78300 -2233.0 5860520.6 45.154878300 -0.22330 586.05206
@ -656,21 +656,21 @@ avg(d143) min(d143) max(d143) avg2 min2 max2
select avg(d144), min(d144), max(d144), (100/1000000) * avg(d144) avg2, 0.0001 * min(d144) min2, max(d144)/10000 max2 from dtypes;
avg(d144) min(d144) max(d144) avg2 min2 max2
451548.786397185200 -2233.00000000 5860520.59916300 45.1548786397185200 -0.223300000000 586.052059916300
select avg(d145), min(d145), max(d145), (100/1000000) * avg(d145) avg2, 0.0001 * min(d145) min2, max(d145)/10000 max2 from dtypes;
avg(d145) min(d145) max(d145) avg2 min2 max2
451548.7863971853299 -2233.000000000 5860520.599163000 45.15487863971853299 -0.2233000000000 586.0520599163000
select avg(d160), min(d160), max(d160), (100/1000000) * avg(d160) avg2, 0.0001 * min(d160) min2, max(d160)/10000 max2 from dtypes;
avg(d160) min(d160) max(d160) avg2 min2 max2
451548.78639718400 -2233.0000000 5860520.5991630 45.154878639718400 -0.22330000000 586.05205991630
select truncate(avg(d145), 10), min(d145), max(d145), truncate((100/1000000) * avg(d145), 10) avg2, 0.0001 * min(d145) min2, max(d145)/10000 max2 from dtypes;
truncate(avg(d145), 10) min(d145) max(d145) avg2 min2 max2
451548.7863971853 -2233.000000000 5860520.599163000 45.1548786397 -0.2233000000000 586.0520599163000
select truncate(avg(d160), 10), min(d160), max(d160), truncate((100/1000000) * avg(d160), 10) avg2, 0.0001 * min(d160) min2, max(d160)/10000 max2 from dtypes;
truncate(avg(d160), 10) min(d160) max(d160) avg2 min2 max2
451548.7863971839 -2233.0000000 5860520.5991630 45.1548786397 -0.22330000000 586.05205991630
select avg(d161), min(d161), max(d161), (100/1000000) * avg(d161) avg2, 0.0001 * min(d161) min2, max(d161)/10000 max2 from dtypes;
avg(d161) min(d161) max(d161) avg2 min2 max2
451548.786397185200 -2233.00000000 5860520.59916300 45.1548786397185200 -0.223300000000 586.052059916300
select avg(d162), min(d162), max(d162), (100/1000000) * avg(d162) avg2, 0.0001 * min(d162) min2, max(d162)/10000 max2 from dtypes;
avg(d162) min(d162) max(d162) avg2 min2 max2
451548.7863971853299 -2233.000000000 5860520.599163000 45.15487863971853299 -0.2233000000000 586.0520599163000
select avg(d171), min(d171), max(d171), (100/1000000) * avg(d171) avg2, 0.0001 * min(d171) min2, max(d171)/10000 max2 from dtypes;
avg(d171) min(d171) max(d171) avg2 min2 max2
451548.7900 -2233 5860521 45.15487900 -0.2233 586.0521
select truncate(avg(d162), 10), min(d162), max(d162), truncate((100/1000000) * avg(d162), 10) avg2, 0.0001 * min(d162) min2, max(d162)/10000 max2 from dtypes;
truncate(avg(d162), 10) min(d162) max(d162) avg2 min2 max2
451548.7863971853 -2233.000000000 5860520.599163000 45.1548786397 -0.2233000000000 586.0520599163000
select truncate(avg(d171), 10), min(d171), max(d171), truncate((100/1000000) * avg(d171), 10) avg2, 0.0001 * min(d171) min2, max(d171)/10000 max2 from dtypes;
truncate(avg(d171), 10) min(d171) max(d171) avg2 min2 max2
451548.7900000000 -2233 5860521 45.1548790000 -0.2233 586.0521
select avg(d172), min(d172), max(d172), (100/1000000) * avg(d172) avg2, 0.0001 * min(d172) min2, max(d172)/10000 max2 from dtypes;
avg(d172) min(d172) max(d172) avg2 min2 max2
451548.78300 -2233.0 5860520.6 45.154878300 -0.22330 586.05206
@ -695,6 +695,6 @@ avg(d178) min(d178) max(d178) avg2 min2 max2
select avg(d179), min(d179), max(d179), (100/1000000) * avg(d179) avg2, 0.0001 * min(d179) min2, max(d179)/10000 max2 from dtypes;
avg(d179) min(d179) max(d179) avg2 min2 max2
451548.786397185200 -2233.00000000 5860520.59916300 45.1548786397185200 -0.223300000000 586.052059916300
select avg(d180), min(d180), max(d180), (100/1000000) * avg(d180) avg2, 0.0001 * min(d180) min2, max(d180)/10000 max2 from dtypes;
avg(d180) min(d180) max(d180) avg2 min2 max2
451548.7863971853299 -2233.000000000 5860520.599163000 45.15487863971853299 -0.2233000000000 586.0520599163000
select truncate(avg(d180), 10), min(d180), max(d180), truncate((100/1000000) * avg(d180), 10) avg2, 0.0001 * min(d180) min2, max(d180)/10000 max2 from dtypes;
truncate(avg(d180), 10) min(d180) max(d180) avg2 min2 max2
451548.7863971853 -2233.000000000 5860520.599163000 45.1548786397 -0.2233000000000 586.0520599163000