From e006dd47537ba56dfcdad2fcf27f15d21ed209d6 Mon Sep 17 00:00:00 2001 From: gal salomon Date: Tue, 26 May 2020 11:36:38 +0300 Subject: [PATCH] python linter; replace assert with assert_equal; add complex query test(sum,count,where); add test-schema ; --- s3tests_boto3/functional/test_s3select.py | 135 +++++++++++++--------- 1 file changed, 83 insertions(+), 52 deletions(-) diff --git a/s3tests_boto3/functional/test_s3select.py b/s3tests_boto3/functional/test_s3select.py index 3aae5be..b532f38 100644 --- a/s3tests_boto3/functional/test_s3select.py +++ b/s3tests_boto3/functional/test_s3select.py @@ -92,10 +92,10 @@ def get_connection(): 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),); + for _ in range(rows): + row = "" + for _ 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 @@ -105,10 +105,10 @@ def create_random_csv_object(rows,columns,col_delim=",",record_delim="\n",csv_sc if len(csv_schema)>0 : result = csv_schema + record_delim - for i in range(rows): - row = ""; - for y in range(columns): - row = row + "{}{}".format(random.randint(0,1000),col_delim); + for _ in range(rows): + row = "" + for _ in range(columns): + row = row + "{}{}".format(random.randint(0,1000),col_delim) result += row + record_delim return result @@ -119,8 +119,8 @@ def upload_csv_object(bucket_name,new_key,obj): conn.create_bucket( bucket_name ) bucket = conn.get_bucket( bucket_name ) - k1 = bucket.new_key( new_key ); - k1.set_contents_from_string( obj ); + k1 = bucket.new_key( new_key ) + k1.set_contents_from_string( obj ) def run_s3select(bucket,key,query,column_delim=",",row_delim="\n",quot_char='"',esc_char='\\',csv_header_info="NONE"): @@ -158,17 +158,17 @@ def remove_xml_tags_from_result(obj): return result -def create_list_of_int(column_pos,obj): - res = 0 +def create_list_of_int(column_pos,obj,field_split=",",row_split="\n"): + list_of_int = [] - for rec in obj.split("\n"): + for rec in obj.split(row_split): col_num = 1 if ( len(rec) == 0): - continue; - for col in rec.split(","): + continue + for col in rec.split(field_split): if (col_num == column_pos): - list_of_int.append(int(col)); - col_num+=1; + list_of_int.append(int(col)) + col_num+=1 return list_of_int @@ -180,7 +180,7 @@ def test_count_operation(): upload_csv_object(bucket_name,csv_obj_name,obj_to_load) res = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0) from stdin;") ).replace(",","") - assert num_of_rows == int( res ) + nose.tools.assert_equal( num_of_rows, int( res )) def test_column_sum_min_max(): csv_obj = create_random_csv_object(10000,10) @@ -189,42 +189,57 @@ def test_column_sum_min_max(): bucket_name = "test" upload_csv_object(bucket_name,csv_obj_name,csv_obj) + csv_obj_name = "csv_10000x10" + bucket_name_2 = "testbuck2" + upload_csv_object(bucket_name_2,csv_obj_name,csv_obj) + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select min(int(_1)) from stdin;") ).replace(",","") list_int = create_list_of_int( 1 , csv_obj ) res_target = min( list_int ) - assert int(res_s3select) == int(res_target) + nose.tools.assert_equal( int(res_s3select), int(res_target)) res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select min(int(_4)) from stdin;") ).replace(",","") list_int = create_list_of_int( 4 , csv_obj ) res_target = min( list_int ) - assert int(res_s3select) == int(res_target) + nose.tools.assert_equal( int(res_s3select), int(res_target)) res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select max(int(_4)) from stdin;") ).replace(",","") list_int = create_list_of_int( 4 , csv_obj ) res_target = max( list_int ) - assert int(res_s3select) == int(res_target) + nose.tools.assert_equal( int(res_s3select), int(res_target)) res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select max(int(_7)) from stdin;") ).replace(",","") list_int = create_list_of_int( 7 , csv_obj ) res_target = max( list_int ) - assert int(res_s3select) == int(res_target) + nose.tools.assert_equal( int(res_s3select), int(res_target)) res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select sum(int(_4)) from stdin;") ).replace(",","") list_int = create_list_of_int( 4 , csv_obj ) res_target = sum( list_int ) - assert int(res_s3select) == int(res_target) + nose.tools.assert_equal( int(res_s3select), int(res_target)) res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select sum(int(_7)) from stdin;") ).replace(",","") list_int = create_list_of_int( 7 , csv_obj ) res_target = sum( list_int ) - assert int(res_s3select) == int(res_target) - + nose.tools.assert_equal( int(res_s3select) , int(res_target) ) + + # the following queries, validates on *random* input an *accurate* relation between condition result,sum operation and count operation. + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name_2,csv_obj_name,"select count(0),sum(int(_1)),sum(int(_2)) from stdin where (int(_1)-int(_2)) == 2;" ) ) + count,sum1,sum2,d = res_s3select.split(",") + + nose.tools.assert_equal( int(count)*2 , int(sum1)-int(sum2 ) ) + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0),sum(int(_1)),sum(int(_2)) from stdin where (int(_1)-int(_2)) == 4;" ) ) + count,sum1,sum2,d = res_s3select.split(",") + + nose.tools.assert_equal( int(count)*4 , int(sum1)-int(sum2) ) + def test_complex_expressions(): # purpose of test: engine is process correctly several projections containing aggregation-functions @@ -236,8 +251,14 @@ def test_complex_expressions(): res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select min(int(_1)),max(int(_2)),min(int(_3))+1 from stdin;")).replace("\n","") + min_1 = min ( create_list_of_int( 1 , csv_obj ) ) + max_2 = max ( create_list_of_int( 2 , csv_obj ) ) + min_3 = min ( create_list_of_int( 3 , csv_obj ) ) + 1 + + __res = "{},{},{},".format(min_1,max_2,min_3) + # assert is according to radom-csv function - assert res_s3select == "0,1000,1," + nose.tools.assert_equal( res_s3select, __res ) # purpose of test that all where conditions create the same group of values, thus same result res_s3select_substr = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select min(int(_2)),max(int(_2)) from stdin where substr(_2,1,1) == "1"')).replace("\n","") @@ -246,9 +267,9 @@ def test_complex_expressions(): res_s3select_eq_modolu = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select min(int(_2)),max(int(_2)) from stdin where int(_2)/100 == 1 or int(_2)/10 == 1 or int(_2) == 1')).replace("\n","") - assert res_s3select_substr == res_s3select_between_numbers + nose.tools.assert_equal( res_s3select_substr, res_s3select_between_numbers) - assert res_s3select_between_numbers == res_s3select_eq_modolu + nose.tools.assert_equal( res_s3select_between_numbers, res_s3select_eq_modolu) def test_alias(): @@ -267,14 +288,15 @@ def test_alias(): res_s3select_no_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select int(_1),int(_2),int(_1)+int(_2) from stdin where (int(_1)+int(_2))>100 and (int(_1)+int(_2))<300;") ).replace(",","") - assert res_s3select_alias == res_s3select_no_alias + nose.tools.assert_equal( res_s3select_alias, res_s3select_no_alias) def test_alias_cyclic_refernce(): - # purpose of test is to validate the s3select-engine is able to detect a cyclic reference to alias. + number_of_rows = 10000 - csv_obj = create_random_csv_object(10000,10) + # purpose of test is to validate the s3select-engine is able to detect a cyclic reference to alias. + csv_obj = create_random_csv_object(number_of_rows,10) csv_obj_name = "csv_10000x10" bucket_name = "test" @@ -282,7 +304,7 @@ def test_alias_cyclic_refernce(): res_s3select_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select int(_1) as a1,int(_2) as a2, a1+a4 as a3, a5+a1 as a4, int(_3)+a3 as a5 from stdin;") ) - find_res = res_s3select_alias.find("number of calls exceed maximum size, probably a cyclic reference to alias"); + find_res = res_s3select_alias.find("number of calls exceed maximum size, probably a cyclic reference to alias") assert int(find_res) >= 0 @@ -302,22 +324,22 @@ def test_datetime(): 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 + nose.tools.assert_equal( 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 + nose.tools.assert_equal( 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 + nose.tools.assert_equal( res_s3select_date_time, res_s3select_count) # validate that utcnow is integrate correctly with other date-time functions res_s3select_date_time_utcnow = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(0) from stdin where datediff("hours",utcnow(),dateadd("day",1,utcnow())) == 24 ;') ) - assert res_s3select_date_time_utcnow == res_s3select_count + nose.tools.assert_equal( res_s3select_date_time_utcnow, res_s3select_count) def test_csv_parser(): @@ -332,31 +354,31 @@ def test_csv_parser(): # return value contain comma{,} res_s3select_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select _6 from stdin;") ).replace("\n","") - assert res_s3select_alias == 'third="c31,c32,c33",' + nose.tools.assert_equal( res_s3select_alias, 'third="c31,c32,c33",') # return value contain comma{,} res_s3select_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select _7 from stdin;") ).replace("\n","") - assert res_s3select_alias == 'forth="1,2,3,4",' + nose.tools.assert_equal( res_s3select_alias, 'forth="1,2,3,4",') # return value contain comma{,}{"}, escape-rule{\} by-pass quote{"} , the escape{\} is removed. res_s3select_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select _8 from stdin;") ).replace("\n","") - assert res_s3select_alias == 'fifth="my_string="any_value" , my_other_string="aaaa,bbb" ",' + nose.tools.assert_equal( res_s3select_alias, 'fifth="my_string="any_value" , my_other_string="aaaa,bbb" ",') # return NULL as first token res_s3select_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select _1 from stdin;") ).replace("\n","") - assert res_s3select_alias == ',' + nose.tools.assert_equal( res_s3select_alias, ',') # return NULL in the middle of line res_s3select_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select _3 from stdin;") ).replace("\n","") - assert res_s3select_alias == ',' + nose.tools.assert_equal( res_s3select_alias, ',') # return NULL in the middle of line (successive) res_s3select_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select _4 from stdin;") ).replace("\n","") - assert res_s3select_alias == ',' + nose.tools.assert_equal( res_s3select_alias, ',') # return NULL at the end line res_s3select_alias = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select _9 from stdin;") ).replace("\n","") - assert res_s3select_alias == ',' + nose.tools.assert_equal( res_s3select_alias, ',') def test_csv_definition(): @@ -373,13 +395,23 @@ def test_csv_definition(): # purpose of tests is to parse correctly input with different csv defintions res = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0) from stdin;","|","\t") ).replace(",","") - assert number_of_rows == int(res) + nose.tools.assert_equal( number_of_rows, int(res)) # assert is according to radom-csv function # purpose of test is validate that tokens are processed correctly - res = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select min(int(_1)),max(int(_2)),min(int(_3))+1 from stdin;","|","\t") ).replace("\n","") + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select min(int(_1)),max(int(_2)),min(int(_3))+1 from stdin;","|","\t") ).replace("\n","") - assert res == "0,1000,1," + min_1 = min ( create_list_of_int( 1 , csv_obj , "|","\t") ) + max_2 = max ( create_list_of_int( 2 , csv_obj , "|","\t") ) + min_3 = min ( create_list_of_int( 3 , csv_obj , "|","\t") ) + 1 + + __res = "{},{},{},".format(min_1,max_2,min_3) + nose.tools.assert_equal( res_s3select, __res ) + + +def test_schema_definition(): + + number_of_rows = 10000 # 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") @@ -396,15 +428,14 @@ def test_csv_definition(): 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 + nose.tools.assert_equal( res_ignore, res_use) # 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 + # 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