diff --git a/s3tests_boto3/functional/test_s3select.py b/s3tests_boto3/functional/test_s3select.py index 7570238..ae305d8 100644 --- a/s3tests_boto3/functional/test_s3select.py +++ b/s3tests_boto3/functional/test_s3select.py @@ -1,5 +1,6 @@ import nose import random +import string from nose.plugins.attrib import attr @@ -110,6 +111,23 @@ def create_random_csv_object(rows,columns,col_delim=",",record_delim="\n",csv_sc return result +def create_random_csv_object_string(rows,columns,col_delim=",",record_delim="\n",csv_schema=""): + result = "" + if len(csv_schema)>0 : + result = csv_schema + record_delim + + for _ in range(rows): + row = "" + for _ in range(columns): + if random.randint(0,9) == 5: + row = row + "{}{}".format(''.join(random.choice(string.ascii_letters) for m in range(10)) + "aeiou",col_delim) + else: + row = row + "{}{}".format(''.join("cbcd" + random.choice(string.ascii_letters) for m in range(10)) + "vwxyzzvwxyz" ,col_delim) + + result += row + record_delim + + return result + def upload_csv_object(bucket_name,new_key,obj): @@ -194,6 +212,12 @@ def test_column_sum_min_max(): res_target = min( list_int ) 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 avg(int(_6)) from stdin;") ).replace(",","") + list_int = create_list_of_int( 6 , csv_obj ) + res_target = float(sum(list_int ))/10000 + + nose.tools.assert_equal( float(res_s3select), float(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 ) @@ -230,6 +254,136 @@ def test_column_sum_min_max(): nose.tools.assert_equal( int(count)*4 , int(sum1)-int(sum2) ) +@attr('s3select') +def test_nullif_expressions(): + + csv_obj = create_random_csv_object(10000,10) + + csv_obj_name = get_random_string() + bucket_name = "test" + upload_csv_object(bucket_name,csv_obj_name,csv_obj) + + res_s3select_nullif = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0) from stdin where nullif(_1,_2) is null ;") ).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0) from stdin where _1 == _2 ;") ).replace("\n","") + + nose.tools.assert_equal( res_s3select_nullif, res_s3select) + + res_s3select_nullif = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0) from stdin where not nullif(_1,_2) is null ;") ).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0) from stdin where _1 != _2 ;") ).replace("\n","") + + nose.tools.assert_equal( res_s3select_nullif, res_s3select) + + res_s3select_nullif = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0) from stdin where nullif(_1,_2) == _1 ;") ).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,"select count(0) from stdin where _1 != _2 ;") ).replace("\n","") + + nose.tools.assert_equal( res_s3select_nullif, res_s3select) + +@attr('s3select') +def test_lowerupper_expressions(): + + csv_obj = create_random_csv_object(1,10) + + csv_obj_name = get_random_string() + bucket_name = "test" + upload_csv_object(bucket_name,csv_obj_name,csv_obj) + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select lower("AB12cd$$") from stdin ;') ).replace("\n","") + + nose.tools.assert_equal( res_s3select, "ab12cd$$,") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select upper("ab12CD$$") from stdin ;') ).replace("\n","") + + nose.tools.assert_equal( res_s3select, "AB12CD$$,") + +@attr('s3select') +def test_in_expressions(): + + # purpose of test: engine is process correctly several projections containing aggregation-functions + csv_obj = create_random_csv_object(10000,10) + + csv_obj_name = get_random_string() + bucket_name = "test" + upload_csv_object(bucket_name,csv_obj_name,csv_obj) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_1) from stdin where int(_1) in(1);')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_1) from stdin where int(_1) == 1;')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_1) from stdin where int(_1) in(1,0);')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_1) from stdin where int(_1) == 1 or int(_1) == 0;')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_2) from stdin where int(_2) in(1,0,2);')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_2) from stdin where int(_2) == 1 or int(_2) == 0 or int(_2) == 2;')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_2) from stdin where int(_2)*2 in(int(_3)*2,int(_4)*3,int(_5)*5);')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_2) from stdin where int(_2)*2 == int(_3)*2 or int(_2)*2 == int(_4)*3 or int(_2)*2 == int(_5)*5;')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_1) from stdin where characterlength(_1) == 2 and substr(_1,2,1) in ("3");')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select int(_1) from stdin where _1 like "_3";')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + +@attr('s3select') +def test_like_expressions(): + + csv_obj = create_random_csv_object_string(10000,10) + + csv_obj_name = get_random_string() + bucket_name = "test" + upload_csv_object(bucket_name,csv_obj_name,csv_obj) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(*) from stdin where _1 like "%aeio%";')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name, 'select count(*) from stdin where substr(_1,11,4) == "aeio" ;')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(*) from stdin where _1 like "cbcd%";')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name, 'select count(*) from stdin where substr(_1,1,4) == "cbcd";')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(*) from stdin where _3 like "%y[y-z]";')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name, 'select count(*) from stdin where substr(_3,charlength(_3),1) between "y" and "z" and substr(_3,charlength(_3)-1,1) == "y";')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(*) from stdin where _2 like "%yz";')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name, 'select count(*) from stdin where substr(_2,charlength(_2),1) == "z" and substr(_2,charlength(_2)-1,1) == "y";')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(*) from stdin where _3 like "c%z";')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name, 'select count(*) from stdin where substr(_3,charlength(_3),1) == "z" and substr(_3,1,1) == "c";')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + res_s3select_in = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name,'select count(*) from stdin where _2 like "%xy_";')).replace("\n","") + + res_s3select = remove_xml_tags_from_result( run_s3select(bucket_name,csv_obj_name, 'select count(*) from stdin where substr(_2,charlength(_2)-1,1) == "y" and substr(_2,charlength(_2)-2,1) == "x";')).replace("\n","") + + nose.tools.assert_equal( res_s3select_in, res_s3select ) + + @attr('s3select') def test_complex_expressions():