--DO NOT MODIFY THIS FILE, IT IS GENERATED AUTOMATICALLY FROM SOURCES -- Complain if script is sourced in psql, rather than via CREATE EXTENSION \echo Use "ALTER EXTENSION cdb_dataservices_client UPDATE TO '0.11.1'" to load this file. \quit CREATE OR REPLACE FUNCTION cdb_dataservices_client.__DST_PrepareTableOBS_GetMeasure( username text, orgname text, user_db_role text, user_schema text, output_table_name text, params json ) RETURNS boolean AS $$ function_name = 'OBS_GetMeasure' # Obtain return types for augmentation procedure ds_return_metadata = plpy.execute("SELECT colnames, coltypes " "FROM cdb_dataservices_client._DST_GetReturnMetadata({username}::text, {orgname}::text, {function_name}::text, {params}::json);" .format( username=plpy.quote_nullable(username), orgname=plpy.quote_nullable(orgname), function_name=plpy.quote_literal(function_name), params=plpy.quote_literal(params) ) ) if ds_return_metadata[0]["colnames"]: colnames_arr = ds_return_metadata[0]["colnames"] coltypes_arr = ds_return_metadata[0]["coltypes"] else: raise Exception('Error retrieving OBS_GetMeasure metadata') # Prepare column and type strings required in the SQL queries columns_with_types_arr = [colnames_arr[i] + ' ' + coltypes_arr[i] for i in range(0,len(colnames_arr))] columns_with_types = ','.join(columns_with_types_arr) # Create a new table with the required columns plpy.execute('CREATE TABLE "{schema}".{table_name} ( ' 'cartodb_id int, the_geom geometry, {columns_with_types} ' ');' .format(schema=user_schema, table_name=output_table_name, columns_with_types=columns_with_types) ) plpy.execute('ALTER TABLE "{schema}".{table_name} OWNER TO "{user}";' .format(schema=user_schema, table_name=output_table_name, user=user_db_role) ) return True $$ LANGUAGE plpythonu; CREATE OR REPLACE FUNCTION cdb_dataservices_client.__DST_PopulateTableOBS_GetMeasure( username text, orgname text, user_db_role text, user_schema text, dbname text, table_name text, output_table_name text, params json ) RETURNS boolean AS $$ function_name = 'OBS_GetMeasure' # Obtain return types for augmentation procedure ds_return_metadata = plpy.execute( "SELECT colnames, coltypes " "FROM cdb_dataservices_client._DST_GetReturnMetadata({username}::text, {orgname}::text, {function_name}::text, {params}::json);" .format( username=plpy.quote_nullable(username), orgname=plpy.quote_nullable(orgname), function_name=plpy.quote_literal(function_name), params=plpy.quote_literal(params))) if ds_return_metadata[0]["colnames"]: colnames_arr = ds_return_metadata[0]["colnames"] coltypes_arr = ds_return_metadata[0]["coltypes"] else: raise Exception('Error retrieving OBS_GetMeasure metadata') # Prepare column and type strings required in the SQL queries columns_with_types_arr = [ colnames_arr[i] + ' ' + coltypes_arr[i] for i in range( 0, len(colnames_arr))] columns_with_types = ','.join(columns_with_types_arr) aliased_colname_list = ','.join( ['result.' + name for name in colnames_arr]) # Instruct the OBS server side to establish a FDW # The metadata is obtained as well in order to: # - (a) be able to write the query to grab the actual data to be executed in the remote server via pl/proxy, # - (b) be able to tell OBS to free resources when done. ds_fdw_metadata = plpy.execute( "SELECT schemaname, tabname, servername " "FROM cdb_dataservices_client._DST_ConnectUserTable({username}::text, {orgname}::text, {user_db_role}::text, " "{schema}::text, {dbname}::text, {table_name}::text);" .format( username=plpy.quote_nullable(username), orgname=plpy.quote_nullable(orgname), user_db_role=plpy.quote_literal(user_db_role), schema=plpy.quote_literal(user_schema), dbname=plpy.quote_literal(dbname), table_name=plpy.quote_literal(table_name))) if ds_fdw_metadata[0]["schemaname"]: server_schema = ds_fdw_metadata[0]["schemaname"] server_table_name = ds_fdw_metadata[0]["tabname"] server_name = ds_fdw_metadata[0]["servername"] else: raise Exception('Error connecting dataset via FDW') # Create a new table with the required columns plpy.execute( 'INSERT INTO "{schema}".{analysis_table_name} ' 'SELECT ut.cartodb_id, ut.the_geom, {colname_list} ' 'FROM "{schema}".{table_name} ut ' 'LEFT JOIN _DST_FetchJoinFdwTableData({username}::text, {orgname}::text, {server_schema}::text, {server_table_name}::text, ' '{function_name}::text, {params}::json) ' 'AS result ({columns_with_types}, cartodb_id int) ' 'ON result.cartodb_id = ut.cartodb_id;' .format( schema=user_schema, analysis_table_name=output_table_name, colname_list=aliased_colname_list, table_name=table_name, username=plpy.quote_nullable(username), orgname=plpy.quote_nullable(orgname), server_schema=plpy.quote_literal(server_schema), server_table_name=plpy.quote_literal(server_table_name), function_name=plpy.quote_literal(function_name), params=plpy.quote_literal(params), columns_with_types=columns_with_types)) # Wipe user FDW data from the server wiped = plpy.execute( "SELECT cdb_dataservices_client._DST_DisconnectUserTable({username}::text, {orgname}::text, {server_schema}::text, " "{server_table_name}::text, {fdw_server}::text)" .format( username=plpy.quote_nullable(username), orgname=plpy.quote_nullable(orgname), server_schema=plpy.quote_literal(server_schema), server_table_name=plpy.quote_literal(server_table_name), fdw_server=plpy.quote_literal(server_name))) return True $$ LANGUAGE plpythonu;