def d210(source_output_path, source_name, STG_tables):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
INS_DTTM = ",CURRENT_TIMESTAMP AS INS_DTTM \n"
stg_tables_df = funcs.get_stg_tables(STG_tables, source_name)
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.iterrows():
Table_name = stg_tables_df_row['Table name']
create_stg_view = "REPLACE VIEW " + pm.gdev1v_stg + "." + Table_name + " AS LOCK ROW FOR ACCESS \n"
create_stg_view = create_stg_view + "SELECT\n"
STG_table_columns = funcs.get_stg_table_columns(
STG_tables, source_name, Table_name)
for STG_table_columns_index, STG_table_columns_row in STG_table_columns.iterrows(
):
Column_name = STG_table_columns_row['Column name']
comma = ',' if STG_table_columns_index > 0 else ' '
comma_Column_name = comma + Column_name
create_stg_view = create_stg_view + comma_Column_name + "\n"
create_stg_view = create_stg_view + INS_DTTM
create_stg_view = create_stg_view + "from " + pm.gdev1t_stg + "." + Table_name + ";\n\n"
f.write(create_stg_view)
f.close()
def d415(source_output_path, source_name, STG_tables):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
stg_tables_df = funcs.get_stg_tables(STG_tables, source_name)
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.iterrows():
stg_table_name = stg_tables_df_row['Table name']
del_script = "DEL FROM " + pm.GCFR_V + ".GCFR_Transform_KeyCol "
del_script = del_script + " WHERE OUT_OBJECT_NAME = '" + stg_table_name + "';\n"
STG_table_columns = funcs.get_stg_table_columns(
STG_tables, source_name, stg_table_name, True)
exe_ = "EXEC " + pm.MACRO_DB + ".GCFR_Register_Tfm_KeyCol('" + pm.SI_VIEW + "'"
_p = ",'" + stg_table_name + "'"
_p = _p + ",'SEQ_NO' );\n\n"
exe_p = exe_ + _p
exe_p_ = ""
for STG_table_columns_index, STG_table_columns_row in STG_table_columns.iterrows(
):
if STG_table_columns_row['PK'].upper() == 'Y':
Column_name = STG_table_columns_row['Column name']
_p = ",'" + stg_table_name + "'"
_p = _p + ",'" + Column_name + "' );\n"
exe_p_ = exe_p_ + exe_ + _p
exe_p = exe_p_ + "\n" if exe_p_ != "" else exe_p
f.write(del_script)
f.write(exe_p)
f.close()
def d340(source_output_path, source_name, STG_tables, BKEY):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
stg_tables_df = STG_tables.loc[
(STG_tables['Source system name'] == source_name)
& ~(STG_tables['Key domain name'].isnull())
& ~(STG_tables['Natural key'].isnull())]
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.replace(
np.nan, "", regex=True).iterrows():
key_domain_name = stg_tables_df_row['Key domain name']
stg_table_name = stg_tables_df_row['Table name']
stg_Column_name = stg_tables_df_row['Column name']
bkey_df = BKEY.loc[(BKEY['Key domain name'] == key_domain_name)]
key_set_name = bkey_df['Key set name'].values[0]
Key_set_ID = str(int(bkey_df['Key set ID'].values[0]))
Key_domain_ID = str(int(bkey_df['Key domain ID'].values[0]))
Physical_table = bkey_df['Physical table'].values[0]
script = "CALL " + pm.APPLY_DB + ".GCFR_PP_BKEY("
script = script + "'BK_" + Key_set_ID + "_" + stg_table_name + "_" + stg_Column_name + "_" + Key_domain_ID + "'"
script = script + ",6, oRC, oRM);"
f.write(script + '\n')
f.close()
def d400(source_output_path, source_name, STG_tables):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
stg_tables_df = funcs.get_stg_tables(STG_tables, source_name)
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.iterrows():
Table_name = stg_tables_df_row['Table name']
Fallback = ', Fallback' if stg_tables_df_row['Fallback'].upper(
) == 'Y' else ''
create_stg_table = "create multiset table " + pm.gdev1t_stg + "." + Table_name + Fallback + "\n" + "(\n"
STG_table_columns = funcs.get_stg_table_columns(
STG_tables, source_name, Table_name, True)
pi_columns = ""
for STG_table_columns_index, STG_table_columns_row in STG_table_columns.iterrows(
):
Column_name = STG_table_columns_row['Column name']
comma = ',' if STG_table_columns_index > 0 else ' '
comma_Column_name = comma + Column_name
Data_type = str(STG_table_columns_row['Data type'])
character_set = " CHARACTER SET UNICODE NOT CASESPECIFIC " if "CHAR" in Data_type.upper(
) or "VARCHAR" in Data_type.upper() else ""
not_null = " not null " if STG_table_columns_row['Mandatory'].upper(
) == 'Y' or STG_table_columns_row['PK'].upper() == 'Y' else " "
create_stg_table = create_stg_table + comma_Column_name + " " + Data_type + character_set + not_null + "\n"
if STG_table_columns_row['PK'].upper() == 'Y':
pi_columns = pi_columns + ',' + Column_name if pi_columns != "" else Column_name
extra_columns = ",Start_Ts\tTIMESTAMP(6) WITH TIME ZONE \n" \
+ ",End_Ts\tTIMESTAMP(6) WITH TIME ZONE \n"\
+ ",Start_Date\tDATE FORMAT 'YYYY-MM-DD' \n" \
+ ",End_Date\tDATE FORMAT 'YYYY-MM-DD' \n" \
+ ",Record_Deleted_Flag\tBYTEINT\n" \
+ ",Ctl_Id\tSMALLINT COMPRESS(997)\n" \
+ ",File_Id\tSMALLINT\n" \
+ ",Process_Name\tVARCHAR(128)\n" \
+ ",Process_Id\tINTEGER\n" \
+ ",Update_Process_Name\tVARCHAR(128) \n" \
+ ",Update_Process_Id\tINTEGER\n "
if pi_columns == "":
pi_columns = "SEQ_NO"
seq_column = ",SEQ_NO DECIMAL(10,0) NOT NULL GENERATED ALWAYS AS IDENTITY\n\t (START WITH 1 INCREMENT BY 1 MINVALUE 1 MAXVALUE 2147483647 NO CYCLE)\n"
else:
seq_column = ""
Primary_Index = ")Primary Index (" + pi_columns + ")"
create_stg_table = create_stg_table + extra_columns + seq_column + Primary_Index
create_stg_table = create_stg_table + ";\n\n"
f.write(create_stg_table)
f.close()
def d200(source_output_path, source_name, STG_tables):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
INS_DTTM = ",INS_DTTM TIMESTAMP(6) NOT NULL \n"
stg_tables_df = funcs.get_stg_tables(STG_tables, source_name)
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.iterrows():
Table_name = stg_tables_df_row['Table name']
Fallback = ', Fallback' if stg_tables_df_row['Fallback'].upper(
) == 'Y' else ''
create_stg_table = "create multiset table " + pm.gdev1t_stg + "." + Table_name + Fallback + "\n" + "(\n"
create_wrk_table = "create multiset table " + pm.gdev1t_WRK + "." + Table_name + Fallback + "\n" + "(\n"
STG_table_columns = funcs.get_stg_table_columns(
STG_tables, source_name, Table_name)
pi_columns = ""
for STG_table_columns_index, STG_table_columns_row in STG_table_columns.iterrows(
):
Column_name = STG_table_columns_row['Column name']
comma = ',' if STG_table_columns_index > 0 else ' '
comma_Column_name = comma + Column_name
Data_type = str(STG_table_columns_row['Data type'])
character_set = " CHARACTER SET UNICODE NOT CASESPECIFIC " if "CHAR" in Data_type.upper(
) or "VARCHAR" in Data_type.upper() else ""
not_null = " not null " if STG_table_columns_row['Mandatory'].upper(
) == 'Y' or STG_table_columns_row['PK'].upper() == 'Y' else " "
create_stg_table = create_stg_table + comma_Column_name + " " + Data_type + character_set + not_null + "\n"
create_wrk_table = create_wrk_table + comma_Column_name + " " + Data_type + character_set + not_null + "\n"
if STG_table_columns_row['PK'].upper() == 'Y':
pi_columns = pi_columns + ',' + Column_name if pi_columns != "" else Column_name
wrk_extra_columns = ",REJECTED INTEGER\n" + ",BATCH_LOADED INTEGER\n" + ",NEW_ROW INTEGER\n"
if pi_columns == "":
pi_columns = "SEQ_NO"
seq_column = ",SEQ_NO DECIMAL(10,0) NOT NULL GENERATED ALWAYS AS IDENTITY\n\t (START WITH 1 INCREMENT BY 1 MINVALUE 1 MAXVALUE 2147483647 NO CYCLE)\n"
else:
seq_column = ""
Primary_Index = ")Primary Index (" + pi_columns + ")"
create_stg_table = create_stg_table + INS_DTTM + seq_column + Primary_Index
create_wrk_table = create_wrk_table + INS_DTTM + wrk_extra_columns + seq_column + Primary_Index
create_stg_table = create_stg_table + ";\n\n"
create_wrk_table = create_wrk_table + ";\n\n"
f.write(create_stg_table)
f.write(create_wrk_table)
f.close()
def d320(source_output_path, source_name, STG_tables, BKEY):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
separator = pm.separator
stg_tables_df = STG_tables.loc[
(STG_tables['Source system name'] == source_name)
& ~(STG_tables['Key domain name'].isnull())
& ~(STG_tables['Natural key'].isnull())]
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.replace(
np.nan, "", regex=True).iterrows():
key_domain_name = stg_tables_df_row['Key domain name']
stg_table_name = stg_tables_df_row['Table name']
stg_Column_name = stg_tables_df_row['Column name']
Bkey_filter = str(stg_tables_df_row['Bkey filter']).upper()
Bkey_filter = "WHERE " + Bkey_filter if Bkey_filter != "" and "JOIN" not in Bkey_filter else Bkey_filter
Bkey_filter = Bkey_filter + "\n" if Bkey_filter != "" else Bkey_filter
Natural_key_list = stg_tables_df_row['Natural key'].split(separator)
trim_Trailing_Natural_key_list = []
for i in Natural_key_list:
trim_Trailing_Natural_key_list.append(
"TRIM(Trailing '.' from TRIM(" + i.strip() + "))")
Source_Key = funcs.list_to_string(trim_Trailing_Natural_key_list,
separator)
coalesce_count = Source_Key.upper().count("COALESCE")
separator_count = Source_Key.count(separator)
compare_string = "_" * separator_count if coalesce_count > separator_count else "''"
Source_Key_cond = "WHERE " if "WHERE" not in Bkey_filter else " AND "
Source_Key_cond = Source_Key_cond + "COALESCE(Source_Key," + compare_string + ") <> " + compare_string + " "
bkey_df = BKEY.loc[(BKEY['Key domain name'] == key_domain_name)]
Key_set_ID = str(int(bkey_df['Key set ID'].values[0]))
Key_domain_ID = str(int(bkey_df['Key domain ID'].values[0]))
script = "REPLACE VIEW " + pm.INPUT_VIEW_DB + ".BK_" + Key_set_ID + "_" + stg_table_name + "_" + stg_Column_name + "_" + Key_domain_ID + "_IN AS LOCK ROW FOR ACCESS\n"
script = script + "SELECT " + Source_Key + " AS Source_Key\n"
script = script + "FROM " + pm.gdev1v_stg + "." + stg_table_name + "\n"
script = script + Bkey_filter + Source_Key_cond + "\n"
script = script + "GROUP BY 1;" + "\n"
f.write(script)
f.write('\n')
f.close()
def d410(source_output_path, source_name, STG_tables):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
stg_tables_df = funcs.get_stg_tables(STG_tables, source_name)
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.iterrows():
stg_table_name = stg_tables_df_row['Table name']
script = "REPLACE VIEW " + pm.SI_VIEW + "." + stg_table_name + " AS\n"
script = script + "SELECT * FROM " + pm.SI_DB + "." + stg_table_name + ";\n\n"
f.write(script)
f.close()
def d300(source_output_path, source_name, STG_tables, BKEY):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
Key_domain_names_df = STG_tables.loc[
(STG_tables['Source system name'] == source_name)
& ~(STG_tables['Key domain name'].isnull())][['Key domain name'
]].drop_duplicates()
for Key_domain_names_df_index, Key_domain_names_df_row in Key_domain_names_df.iterrows(
):
key_domain_name = Key_domain_names_df_row['Key domain name']
bkey_df = BKEY.loc[(BKEY['Key domain name'] == key_domain_name)]
key_set_name = bkey_df['Key set name'].values[0]
Key_set_ID = str(int(bkey_df['Key set ID'].values[0]))
Key_domain_ID = str(int(bkey_df['Key domain ID'].values[0]))
Physical_table = bkey_df['Physical table'].values[0]
script1 = "EXEC " + pm.MACRO_DB + ".GCFR_Register_Bkey_Key_Set(" + Key_set_ID + ", '" + key_set_name + "', '" + Physical_table + "', '" + pm.G_BKEY_V + "');"
script2 = "CALL " + pm.UT_DB + ".GCFR_UT_BKEY_St_Key_CT('" + pm.G_BKEY_T + "', '" + Physical_table + "', '1', :OMessage);"
script3 = "CALL " + pm.UT_DB + ".GCFR_UT_BKEY_St_Key_CV('" + pm.G_BKEY_T + "', '" + Physical_table + "', '" + pm.G_BKEY_V + "', :OMessage);"
script4 = "CALL " + pm.UT_DB + ".GCFR_UT_BKEY_Key_Set_RI_Check(" + Key_set_ID + ", :OMessage);"
script5 = "CALL " + pm.UT_DB + ".GCFR_UT_BKEY_St_Key_NextId_CT('" + Physical_table + "', '1', :OMessage);"
script6 = "CALL " + pm.UT_DB + ".GCFR_UT_BKEY_St_Key_NextId_CV('" + Physical_table + "', :OMessage);"
script7 = "CALL " + pm.UT_DB + ".GCFR_UT_BKEY_S_K_NextId_Log_CT('" + Physical_table + "', '1', :OMessage);"
script8 = "CALL " + pm.UT_DB + ".GCFR_UT_BKEY_S_K_NextId_Log_CV('" + Physical_table + "', :OMessage);"
script9 = "CALL " + pm.UT_DB + ".GCFR_UT_BKEYStandKeyNextId_Gen('" + pm.G_BKEY_T + "', '" + Physical_table + "', " + Key_set_ID + ", :OMessage);"
script10 = "EXEC " + pm.MACRO_DB + ".GCFR_Register_Bkey_Domain(" + Key_set_ID + ", " + Key_domain_ID + ", '" + key_domain_name + "');"
f.write(script1 + '\n')
f.write(script2 + '\n')
f.write(script3 + '\n')
f.write(script4 + '\n')
f.write(script5 + '\n')
f.write(script6 + '\n')
f.write(script7 + '\n')
f.write(script8 + '\n')
f.write(script9 + '\n')
f.write(script10 + '\n')
f.write('\n')
f.close()
def d001(source_output_path, source_name, STG_tables):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
stg_tables_df = STG_tables.loc[STG_tables['Source system name'] ==
source_name][['Table name'
]].drop_duplicates()
for STG_tables_index, STG_tables_row in stg_tables_df.iterrows():
Table_name = STG_tables_row['Table name']
# print(Table_name)
f.write("delete from " + pm.automation_db + "." +
pm.SOURCE_TABLES_LKP_table + " where SOURCE_NAME = '" +
source_name + "';\n")
f.write("insert into " + pm.automation_db + "." +
pm.SOURCE_TABLES_LKP_table + "(SOURCE_NAME, TABLE_NAME)\n")
f.write("VALUES ('" + source_name + "', '" + Table_name + "')" + ";\n")
f.write("\n")
f.close()
def d330(source_output_path, source_name, STG_tables, BKEY):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
stg_tables_df = STG_tables.loc[
(STG_tables['Source system name'] == source_name)
& ~(STG_tables['Key domain name'].isnull())
& ~(STG_tables['Natural key'].isnull())]
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.replace(
np.nan, "", regex=True).iterrows():
key_domain_name = stg_tables_df_row['Key domain name']
stg_table_name = stg_tables_df_row['Table name']
stg_Column_name = stg_tables_df_row['Column name']
bkey_df = BKEY.loc[(BKEY['Key domain name'] == key_domain_name)]
key_set_name = bkey_df['Key set name'].values[0]
Key_set_ID = str(int(bkey_df['Key set ID'].values[0]))
Key_domain_ID = str(int(bkey_df['Key domain ID'].values[0]))
Physical_table = bkey_df['Physical table'].values[0]
script = "EXEC " + pm.MACRO_DB + ".GCFR_Register_Process("
script = script + "'BK_" + Key_set_ID + "_" + stg_table_name + "_" + stg_Column_name + "_" + Key_domain_ID + "',"
script = script + "'define bkey for the table " + key_set_name + " and the domain " + key_domain_name + "',"
script = script + "21, 99, 1"
script = script + "'" + pm.G_BKEY_V + "',"
script = script + "'" + Physical_table + "',"
script = script + "'" + pm.G_BKEY_T + "',"
script = script + "'" + Physical_table + "',"
script = script + "'" + pm.TMP_DB + "',"
script = script + "'" + Key_set_ID + "',"
script = script + "'" + Key_domain_ID + "',"
script = script + "'',0,0,0,0);"
f.write(script + '\n')
f.close()
def d000(source_output_path, source_name, Table_mapping, STG_tables, BKEY):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
for table_maping_index, table_maping_row in Table_mapping[
Table_mapping['Source'] == source_name].iterrows():
prcess_type = "TXF"
layer = str(table_maping_row['Layer'])
process_name = prcess_type + "_" + layer + "_" + str(
table_maping_row['Mapping name'])
target_table = str(table_maping_row['Target table name'])
Historization_algorithm = str(
table_maping_row['Historization algorithm'])
f.write("delete from " + pm.automation_db + "." +
pm.etl_process_table + " where process_name = '" +
process_name + "';\n")
f.write(
"insert into " + pm.automation_db + "." + pm.etl_process_table +
"(SOURCE_NAME, PROCESS_TYPE, PROCESS_NAME, BASE_TABLE, APPLY_TYPE, RECORD_ID)\n"
)
f.write("VALUES ('" + source_name + "', '" + prcess_type + "', '" +
process_name + "', '" + target_table + "', '" +
Historization_algorithm + "', NULL)" + ";\n")
f.write("\n")
for STG_tables_index, STG_tables_row in STG_tables.loc[
(STG_tables['Source system name'] == source_name)
& (STG_tables['Key set name'].notnull())].iterrows():
Key_set_name = STG_tables_row['Key set name']
Key_domain_name = STG_tables_row['Key domain name']
Table_name = STG_tables_row['Table name']
Column_name = STG_tables_row['Column name']
prcess_type = "BKEY"
target_table = ""
Historization_algorithm = "INSERT"
for BKEY_index, BKEY_row in BKEY.loc[
(BKEY['Key set name'] == Key_set_name)
& (BKEY['Key domain name'] == Key_domain_name)].iterrows():
Key_set_id = int(BKEY_row['Key set ID'])
Key_domain_ID = int(BKEY_row['Key domain ID'])
Physical_table = BKEY_row['Physical table']
# print(Table_name, Column_name, Key_set_id,Key_domain_ID,Physical_table)
process_name = "BK_" + str(
Key_set_id) + "_" + Table_name + "_" + Column_name + "_" + str(
Key_domain_ID)
f.write("delete from " + pm.automation_db + "." +
pm.etl_process_table + " where process_name = '" +
process_name + "';\n")
f.write(
"insert into " + pm.automation_db + "." +
pm.etl_process_table +
"(SOURCE_NAME, PROCESS_TYPE, PROCESS_NAME, BASE_TABLE, APPLY_TYPE, RECORD_ID)\n"
)
f.write("VALUES ('" + source_name + "', '" + prcess_type + "', '" +
process_name + "', '" + target_table + "', '" +
Historization_algorithm + "', NULL)" + ";\n")
f.write("\n")
f.close()
def d420(source_output_path, source_name, STG_tables, BKEY):
file_name = funcs.get_file_name(__file__)
f = open(source_output_path + "/" + file_name + ".sql", "w+")
separator = pm.separator
stg_tables_df = funcs.get_stg_tables(STG_tables, source_name)
for stg_tables_df_index, stg_tables_df_row in stg_tables_df.iterrows():
stg_table_name = stg_tables_df_row['Table name']
stg_Natural_key_df = STG_tables.loc[
(STG_tables['Source system name'] == source_name)
& (STG_tables['Table name'] == stg_table_name)
& ~(STG_tables['Natural key'].isnull())]
bkey_Natural_key_list = []
for stg_Natural_key_df_index, stg_Natural_key_df_row in stg_Natural_key_df.iterrows(
):
# bkey_Natural_key_list = stg_Natural_key_df_row['Natural key'].split(separator)
bkey_Natural_key_list.append(stg_Natural_key_df_row['Natural key'])
bkey_Natural_key_list_str = funcs.list_to_string(
bkey_Natural_key_list, ',').upper()
stg_table_has_pk = True if len(STG_tables.loc[
(STG_tables['Table name'] == stg_table_name)
& (STG_tables['PK'].str.upper() == 'Y')].index) > 0 else False
if not stg_table_has_pk:
seq_pk_col = " SEQ_NO\n,"
else:
seq_pk_col = " "
create_view_script = "REPLACE VIEW " + pm.SI_VIEW + "." + stg_table_name + " AS\nSELECT \n"
from_clause = "FROM " + pm.gdev1v_stg + "." + stg_table_name + " t"
STG_table_columns = funcs.get_stg_table_columns(
STG_tables, source_name, stg_table_name, True)
bkeys_left_join = ""
bkeys_left_join_count = 0
for STG_table_columns_index, STG_table_columns_row in STG_table_columns.iterrows(
):
Column_name = STG_table_columns_row['Column name'].upper()
alias = Column_name
if Column_name in bkey_Natural_key_list_str:
if "COALESCE" in bkey_Natural_key_list_str:
Column_name = "COALESCE( " + Column_name + ",'')"
Column_name = "TRIM(Trailing '.' from TRIM(" + Column_name + ")) " + alias
comma = ',' if STG_table_columns_index > 0 else seq_pk_col
comma_Column_name = comma + Column_name
create_view_script = create_view_script + comma_Column_name + "\n"
try:
Key_domain_name = STG_table_columns_row['Key domain name']
bkey_physical_table = BKEY.loc[(
BKEY['Key domain name'].str.upper() == Key_domain_name
)]['Physical table'].values[0]
bkeys_left_join_count = bkeys_left_join_count + 1
bk_alias = " bk" + str(bkeys_left_join_count)
bkeys_left_join = bkeys_left_join + "LEFT JOIN " + pm.G_BKEY_V + "." + bkey_physical_table + bk_alias + "\n"
Natural_key = STG_table_columns_row['Natural key']
split_Natural_key = Natural_key.replace(" ",
"").split(separator)
trim_Natural_key = []
for i in split_Natural_key:
trim_Natural_key.append("TRIM(Trailing '.' from TRIM(" +
i.strip() + "))")
Natural_key = funcs.list_to_string(trim_Natural_key, separator)
bkeys_left_join = bkeys_left_join + "\tON " + bk_alias + ".Source_Key = " + Natural_key + "\n"
except:
pass
create_view_script = create_view_script + from_clause + "\n" + bkeys_left_join
f.write(create_view_script + "\n")
# f.write(Natural_key_list_str + "\n")
f.close()
