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Add test_various_configs.py and data
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gshank committed Oct 3, 2024
1 parent 3ac6f2b commit 244ef0a
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create table {database}.{schema}.seed (
id INTEGER,
first_name VARCHAR(50),
last_name VARCHAR(50),
email VARCHAR(50),
gender VARCHAR(50),
ip_address VARCHAR(20),
updated_at TIMESTAMP WITHOUT TIME ZONE
);

create table {database}.{schema}.snapshot_expected (
id INTEGER,
first_name VARCHAR(50),
last_name VARCHAR(50),
email VARCHAR(50),
gender VARCHAR(50),
ip_address VARCHAR(20),

-- snapshotting fields
updated_at TIMESTAMP WITHOUT TIME ZONE,
test_valid_from TIMESTAMP WITHOUT TIME ZONE,
test_valid_to TIMESTAMP WITHOUT TIME ZONE,
test_scd_id TEXT,
test_updated_at TIMESTAMP WITHOUT TIME ZONE
);


-- seed inserts
-- use the same email for two users to verify that duplicated check_cols values
-- are handled appropriately
insert into {database}.{schema}.seed (id, first_name, last_name, email, gender, ip_address, updated_at) values
(1, 'Judith', 'Kennedy', '(not provided)', 'Female', '54.60.24.128', '2015-12-24 12:19:28'),
(2, 'Arthur', 'Kelly', '(not provided)', 'Male', '62.56.24.215', '2015-10-28 16:22:15'),
(3, 'Rachel', 'Moreno', '[email protected]', 'Female', '31.222.249.23', '2016-04-05 02:05:30'),
(4, 'Ralph', 'Turner', '[email protected]', 'Male', '157.83.76.114', '2016-08-08 00:06:51'),
(5, 'Laura', 'Gonzales', '[email protected]', 'Female', '30.54.105.168', '2016-09-01 08:25:38'),
(6, 'Katherine', 'Lopez', '[email protected]', 'Female', '169.138.46.89', '2016-08-30 18:52:11'),
(7, 'Jeremy', 'Hamilton', '[email protected]', 'Male', '231.189.13.133', '2016-07-17 02:09:46'),
(8, 'Heather', 'Rose', '[email protected]', 'Female', '87.165.201.65', '2015-12-29 22:03:56'),
(9, 'Gregory', 'Kelly', '[email protected]', 'Male', '154.209.99.7', '2016-03-24 21:18:16'),
(10, 'Rachel', 'Lopez', '[email protected]', 'Female', '237.165.82.71', '2016-08-20 15:44:49'),
(11, 'Donna', 'Welch', '[email protected]', 'Female', '103.33.110.138', '2016-02-27 01:41:48'),
(12, 'Russell', 'Lawrence', '[email protected]', 'Male', '189.115.73.4', '2016-06-11 03:07:09'),
(13, 'Michelle', 'Montgomery', '[email protected]', 'Female', '243.220.95.82', '2016-06-18 16:27:19'),
(14, 'Walter', 'Castillo', '[email protected]', 'Male', '71.159.238.196', '2016-10-06 01:55:44'),
(15, 'Robin', 'Mills', '[email protected]', 'Female', '172.190.5.50', '2016-10-31 11:41:21'),
(16, 'Raymond', 'Holmes', '[email protected]', 'Male', '148.153.166.95', '2016-10-03 08:16:38'),
(17, 'Gary', 'Bishop', '[email protected]', 'Male', '161.108.182.13', '2016-08-29 19:35:20'),
(18, 'Anna', 'Riley', '[email protected]', 'Female', '253.31.108.22', '2015-12-11 04:34:27'),
(19, 'Sarah', 'Knight', '[email protected]', 'Female', '222.220.3.177', '2016-09-26 00:49:06'),
(20, 'Phyllis', 'Fox', null, 'Female', '163.191.232.95', '2016-08-21 10:35:19');


-- populate snapshot table
insert into {database}.{schema}.snapshot_expected (
id,
first_name,
last_name,
email,
gender,
ip_address,
updated_at,
test_valid_from,
test_valid_to,
test_updated_at,
test_scd_id
)

select
id,
first_name,
last_name,
email,
gender,
ip_address,
updated_at,
-- fields added by snapshotting
updated_at as test_valid_from,
null::timestamp as test_valid_to,
updated_at as test_updated_at,
md5(id || '-' || first_name || '|' || updated_at::text) as test_scd_id
from {database}.{schema}.seed;
Original file line number Diff line number Diff line change
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create table {database}.{schema}.seed (
id INTEGER,
first_name VARCHAR(50),
last_name VARCHAR(50),
email VARCHAR(50),
gender VARCHAR(50),
ip_address VARCHAR(20),
updated_at TIMESTAMP WITHOUT TIME ZONE
);

create table {database}.{schema}.snapshot_expected (
id INTEGER,
first_name VARCHAR(50),
last_name VARCHAR(50),
email VARCHAR(50),
gender VARCHAR(50),
ip_address VARCHAR(20),

-- snapshotting fields
updated_at TIMESTAMP WITHOUT TIME ZONE,
test_valid_from TIMESTAMP WITHOUT TIME ZONE,
test_valid_to TIMESTAMP WITHOUT TIME ZONE,
test_scd_id TEXT,
test_updated_at TIMESTAMP WITHOUT TIME ZONE
);


-- seed inserts
-- use the same email for two users to verify that duplicated check_cols values
-- are handled appropriately
insert into {database}.{schema}.seed (id, first_name, last_name, email, gender, ip_address, updated_at) values
(1, 'Judith', 'Kennedy', '(not provided)', 'Female', '54.60.24.128', '2015-12-24 12:19:28'),
(2, 'Arthur', 'Kelly', '(not provided)', 'Male', '62.56.24.215', '2015-10-28 16:22:15'),
(3, 'Rachel', 'Moreno', '[email protected]', 'Female', '31.222.249.23', '2016-04-05 02:05:30'),
(4, 'Ralph', 'Turner', '[email protected]', 'Male', '157.83.76.114', '2016-08-08 00:06:51'),
(5, 'Laura', 'Gonzales', '[email protected]', 'Female', '30.54.105.168', '2016-09-01 08:25:38'),
(6, 'Katherine', 'Lopez', '[email protected]', 'Female', '169.138.46.89', '2016-08-30 18:52:11'),
(7, 'Jeremy', 'Hamilton', '[email protected]', 'Male', '231.189.13.133', '2016-07-17 02:09:46'),
(8, 'Heather', 'Rose', '[email protected]', 'Female', '87.165.201.65', '2015-12-29 22:03:56'),
(9, 'Gregory', 'Kelly', '[email protected]', 'Male', '154.209.99.7', '2016-03-24 21:18:16'),
(10, 'Rachel', 'Lopez', '[email protected]', 'Female', '237.165.82.71', '2016-08-20 15:44:49'),
(11, 'Donna', 'Welch', '[email protected]', 'Female', '103.33.110.138', '2016-02-27 01:41:48'),
(12, 'Russell', 'Lawrence', '[email protected]', 'Male', '189.115.73.4', '2016-06-11 03:07:09'),
(13, 'Michelle', 'Montgomery', '[email protected]', 'Female', '243.220.95.82', '2016-06-18 16:27:19'),
(14, 'Walter', 'Castillo', '[email protected]', 'Male', '71.159.238.196', '2016-10-06 01:55:44'),
(15, 'Robin', 'Mills', '[email protected]', 'Female', '172.190.5.50', '2016-10-31 11:41:21'),
(16, 'Raymond', 'Holmes', '[email protected]', 'Male', '148.153.166.95', '2016-10-03 08:16:38'),
(17, 'Gary', 'Bishop', '[email protected]', 'Male', '161.108.182.13', '2016-08-29 19:35:20'),
(18, 'Anna', 'Riley', '[email protected]', 'Female', '253.31.108.22', '2015-12-11 04:34:27'),
(19, 'Sarah', 'Knight', '[email protected]', 'Female', '222.220.3.177', '2016-09-26 00:49:06'),
(20, 'Phyllis', 'Fox', null, 'Female', '163.191.232.95', '2016-08-21 10:35:19');


-- populate snapshot table
insert into {database}.{schema}.snapshot_expected (
id,
first_name,
last_name,
email,
gender,
ip_address,
updated_at,
test_valid_from,
test_valid_to,
test_updated_at,
test_scd_id
)

select
id,
first_name,
last_name,
email,
gender,
ip_address,
updated_at,
-- fields added by snapshotting
updated_at as test_valid_from,
date('2099-12-31') as test_valid_to,
updated_at as test_updated_at,
md5(id || '-' || first_name || '|' || updated_at::text) as test_scd_id
from {database}.{schema}.seed;
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