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add tests to validate csv-header-info functionalities is correct

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(cherry picked from commit 5dc8bc75ab)
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gal salomon 2020-05-08 16:51:24 +03:00 committed by Casey Bodley
parent ca9cb5cc2c
commit b1ddeee6eb
1 changed files with 33 additions and 3 deletions
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36
s3tests_boto3/functional/test_s3select.py
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@ -102,8 +102,11 @@ def create_csv_object_for_datetime(rows,columns):
return result return result
def create_random_csv_object(rows,columns,col_delim=",",record_delim="\n"): def create_random_csv_object(rows,columns,col_delim=",",record_delim="\n",csv_schema=""):
result = "" result = ""
if len(csv_schema)>0 :
result = csv_schema + record_delim
for i in range(rows): for i in range(rows):
row = ""; row = "";
for y in range(columns): for y in range(columns):
@ -122,7 +125,7 @@ def upload_csv_object(bucket_name,new_key,obj):
k1.set_contents_from_string( obj ); k1.set_contents_from_string( obj );
def run_s3select(bucket,key,query,column_delim=",",row_delim="\n",quot_char='"',esc_char='\\'): def run_s3select(bucket,key,query,column_delim=",",row_delim="\n",quot_char='"',esc_char='\\',csv_header_info="NONE"):
s3 = boto3.client('s3',#'sns', s3 = boto3.client('s3',#'sns',
endpoint_url=endpoint, endpoint_url=endpoint,
aws_access_key_id=access_key, aws_access_key_id=access_key,
@ -135,7 +138,7 @@ def run_s3select(bucket,key,query,column_delim=",",row_delim="\n",quot_char='"',
Bucket=bucket, Bucket=bucket,
Key=key, Key=key,
ExpressionType='SQL', ExpressionType='SQL',
InputSerialization = {"CSV": {"RecordDelimiter" : row_delim, "FieldDelimiter" : column_delim,"QuoteEscapeCharacter": esc_char, "QuoteCharacter": quot_char}, "CompressionType": "NONE"}, InputSerialization = {"CSV": {"RecordDelimiter" : row_delim, "FieldDelimiter" : column_delim,"QuoteEscapeCharacter": esc_char, "QuoteCharacter": quot_char, "FileHeaderInfo": csv_header_info}, "CompressionType": "NONE"},
OutputSerialization = {"CSV": {}}, OutputSerialization = {"CSV": {}},
Expression=query,) Expression=query,)
@ -379,3 +382,30 @@ def test_csv_definition():
assert res == "0,1000,1," assert res == "0,1000,1,"
# purpose of test is to validate functionality using csv header info
csv_obj = create_random_csv_object(number_of_rows,10,csv_schema="c1,c2,c3,c4,c5,c6,c7,c8,c9,c10")
csv_obj_name = "csv_with_header_info"
bucket_name = "test"
upload_csv_object(bucket_name,csv_obj_name,csv_obj)
# ignoring the schema on first line and retrieve using generic column number
res_ignore = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select _1,_3 from stdin;",csv_header_info="IGNORE") ).replace("\n","")
# using the scheme on first line, query is using the attach schema
res_use = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select c1,c3 from stdin;",csv_header_info="USE") ).replace("\n","")
# result of both queries should be the same
assert res_ignore == res_use
# alias-name is identical to column-name
res_multiple_defintion = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select int(c1)+int(c2) as c4,c4 from stdin;",csv_header_info="USE") ).replace("\n","")
assert res_multiple_defintion.find("multiple definition of column {c4} as schema-column and alias") > 0
# using column-name not exist in schema
res_multiple_defintion = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select c1,c10,int(c11) from stdin;",csv_header_info="USE") ).replace("\n","")
assert res_multiple_defintion.find("alias {c11} or column not exist in schema") > 0