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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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18
mysql-test/columnstore/devregression/t/mcs7099_regression_bug3554.test
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@ -149,10 +149,10 @@ select avg(d129), min(d129), max(d129), (100/1000000) * avg(d129) avg2, 0.0001 *
select avg(d130), min(d130), max(d130), (100/1000000) * avg(d130) avg2, 0.0001 * min(d130) min2, max(d130)/10000 max2 from dtypes;
select avg(d131), min(d131), max(d131), (100/1000000) * avg(d131) avg2, 0.0001 * min(d131) min2, max(d131)/10000 max2 from dtypes;
select avg(d132), min(d132), max(d132), (100/1000000) * avg(d132) avg2, 0.0001 * min(d132) min2, max(d132)/10000 max2 from dtypes;
select avg(d133), min(d133), max(d133), (100/1000000) * avg(d133) avg2, 0.0001 * min(d133) min2, max(d133)/10000 max2 from dtypes;
select avg(d134), min(d134), max(d134), (100/1000000) * avg(d134) avg2, 0.0001 * min(d134) min2, max(d134)/10000 max2 from dtypes;
select avg(d135), min(d135), max(d135), (100/1000000) * avg(d135) avg2, 0.0001 * min(d135) min2, max(d135)/10000 max2 from dtypes;
select avg(d136), min(d136), max(d136), (100/1000000) * avg(d136) avg2, 0.0001 * min(d136) min2, max(d136)/10000 max2 from dtypes;
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;
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;
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;
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;
select avg(d137), min(d137), max(d137), (100/1000000) * avg(d137) avg2, 0.0001 * min(d137) min2, max(d137)/10000 max2 from dtypes;
select avg(d138), min(d138), max(d138), (100/1000000) * avg(d138) avg2, 0.0001 * min(d138) min2, max(d138)/10000 max2 from dtypes;
select avg(d139), min(d139), max(d139), (100/1000000) * avg(d139) avg2, 0.0001 * min(d139) min2, max(d139)/10000 max2 from dtypes;
@ -161,11 +161,11 @@ select avg(d141), min(d141), max(d141), (100/1000000) * avg(d141) avg2, 0.0001 *
select avg(d142), min(d142), max(d142), (100/1000000) * avg(d142) avg2, 0.0001 * min(d142) min2, max(d142)/10000 max2 from dtypes;
select avg(d143), min(d143), max(d143), (100/1000000) * avg(d143) avg2, 0.0001 * min(d143) min2, max(d143)/10000 max2 from dtypes;
select avg(d144), min(d144), max(d144), (100/1000000) * avg(d144) avg2, 0.0001 * min(d144) min2, max(d144)/10000 max2 from dtypes;
select avg(d145), min(d145), max(d145), (100/1000000) * avg(d145) avg2, 0.0001 * min(d145) min2, max(d145)/10000 max2 from dtypes;
select avg(d160), min(d160), max(d160), (100/1000000) * avg(d160) avg2, 0.0001 * min(d160) min2, max(d160)/10000 max2 from dtypes;
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;
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;
select avg(d161), min(d161), max(d161), (100/1000000) * avg(d161) avg2, 0.0001 * min(d161) min2, max(d161)/10000 max2 from dtypes;
select avg(d162), min(d162), max(d162), (100/1000000) * avg(d162) avg2, 0.0001 * min(d162) min2, max(d162)/10000 max2 from dtypes;
select avg(d171), min(d171), max(d171), (100/1000000) * avg(d171) avg2, 0.0001 * min(d171) min2, max(d171)/10000 max2 from dtypes;
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;
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;
select avg(d172), min(d172), max(d172), (100/1000000) * avg(d172) avg2, 0.0001 * min(d172) min2, max(d172)/10000 max2 from dtypes;
select avg(d173), min(d173), max(d173), (100/1000000) * avg(d173) avg2, 0.0001 * min(d173) min2, max(d173)/10000 max2 from dtypes;
select avg(d174), min(d174), max(d174), (100/1000000) * avg(d174) avg2, 0.0001 * min(d174) min2, max(d174)/10000 max2 from dtypes;
@ -174,6 +174,6 @@ select avg(d176), min(d176), max(d176), (100/1000000) * avg(d176) avg2, 0.0001 *
select avg(d177), min(d177), max(d177), (100/1000000) * avg(d177) avg2, 0.0001 * min(d177) min2, max(d177)/10000 max2 from dtypes;
select avg(d178), min(d178), max(d178), (100/1000000) * avg(d178) avg2, 0.0001 * min(d178) min2, max(d178)/10000 max2 from dtypes;
select avg(d179), min(d179), max(d179), (100/1000000) * avg(d179) avg2, 0.0001 * min(d179) min2, max(d179)/10000 max2 from dtypes;
select avg(d180), min(d180), max(d180), (100/1000000) * avg(d180) avg2, 0.0001 * min(d180) min2, max(d180)/10000 max2 from dtypes;
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;
#