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adding tests for date-time functionalities

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gal salomon 2020-04-09 16:43:11 +03:00
parent c1bce6ac70
commit 5925f0fb3f
1 changed files with 39 additions and 0 deletions
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39
s3tests_boto3/functional/test_s3select.py
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@ -92,6 +92,16 @@ def get_connection():
return conn return conn
def create_csv_object_for_datetime(rows,columns):
result = ""
for i in range(rows):
row = "";
for y in range(columns):
row = row + "{}{:02d}{:02d}-{:02d}{:02d}{:02d},".format(random.randint(0,100)+1900,random.randint(1,12),random.randint(1,28),random.randint(0,23),random.randint(0,59),random.randint(0,59),);
result += row + "\n"
return result
def create_random_csv_object(rows,columns): def create_random_csv_object(rows,columns):
result = "" result = ""
@ -274,3 +284,32 @@ def test_alias_cyclic_refernce():
assert int(find_res) >= 0 assert int(find_res) >= 0
def test_datetime():
# purpose of test is to validate date-time functionality is correct,
# by creating same groups with different functions (nested-calls) ,which later produce the same result
csv_obj = create_csv_object_for_datetime(10000,1)
csv_obj_name = "csv_datetime_10000x10"
bucket_name = "test"
upload_csv_object(bucket_name,csv_obj_name,csv_obj)
res_s3select_date_time = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(0) from stdin where extract("year",timestamp(_1)) > 1950 and extract("year",timestamp(_1)) < 1960;') )
res_s3select_substr = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(0) from stdin where int(substr(_1,1,4))>1950 and int(substr(_1,1,4))<1960;') )
assert res_s3select_date_time == res_s3select_substr
res_s3select_date_time = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(0) from stdin where datediff("month",timestamp(_1),dateadd("month",2,timestamp(_1)) ) == 2;') )
res_s3select_count = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(0) from stdin;') )
assert res_s3select_date_time == res_s3select_count
res_s3select_date_time = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(0) from stdin where datediff("year",timestamp(_1),dateadd("day", 366 ,timestamp(_1))) == 1 ;') )
assert res_s3select_date_time == res_s3select_count