PostgreSQL.create_table
- PostgreSQL.create_table(table_name, column_specs, schema_name=None, verbose=False)
Create a table.
- Parameters
table_name (str) – name of a table
column_specs (str) – specifications for each column of the table
schema_name (str or None) – name of a schema; when
schema_name=None(default), it defaults toDEFAULT_SCHEMA(i.e.'public')verbose (bool or int) – whether to print relevant information in console as the function runs, defaults to
False
Examples:
>>> from pyhelpers.dbms import PostgreSQL >>> testdb = PostgreSQL('localhost', 5432, 'postgres', database_name='testdb') Password (postgres@localhost:5432): *** Creating a database: "testdb" ... Done. Connecting postgres:***@localhost:5432/testdb ... Successfully. >>> tbl_name = 'test_table' >>> col_spec = 'col_name_1 INT, col_name_2 TEXT' >>> testdb.create_table(table_name=tbl_name, column_specs=col_spec, verbose=True) Creating a table "public"."test_table" ... Done. >>> testdb.table_exists(table_name=tbl_name) True >>> # Get information about all columns of the table "public"."test_table" >>> test_tbl_col_info = testdb.get_column_info(table_name=tbl_name, as_dict=False) >>> test_tbl_col_info column_0 column_1 table_catalog testdb testdb table_schema public public table_name test_table test_table column_name col_name_1 col_name_2 ordinal_position 1 2 column_default None None is_nullable YES YES data_type integer text character_maximum_length None None character_octet_length NaN 1073741824.0 numeric_precision 32.0 NaN numeric_precision_radix 2.0 NaN numeric_scale 0.0 NaN datetime_precision None None interval_type None None interval_precision None None character_set_catalog None None character_set_schema None None character_set_name None None collation_catalog None None collation_schema None None collation_name None None domain_catalog None None domain_schema None None domain_name None None udt_catalog testdb testdb udt_schema pg_catalog pg_catalog udt_name int4 text scope_catalog None None scope_schema None None scope_name None None maximum_cardinality None None dtd_identifier 1 2 is_self_referencing NO NO is_identity NO NO identity_generation None None identity_start None None identity_increment None None identity_maximum None None identity_minimum None None identity_cycle NO NO is_generated NEVER NEVER generation_expression None None is_updatable YES YES >>> # Get data types of all columns of the table "public"."test_table" >>> test_tbl_dtypes = testdb.get_column_dtype(table_name=tbl_name) >>> test_tbl_dtypes {'col_name_1': 'integer', 'col_name_2': 'text'} >>> # Drop the table "public"."test_table" >>> testdb.drop_table(table_name=tbl_name, verbose=True) To drop the table "public"."test_table" from postgres:***@localhost:5432/testdb ? [No]|Yes: yes Dropping "public"."test_table" ... Done. >>> # Delete the database "testdb" >>> testdb.drop_database(verbose=True) To drop the database "testdb" from postgres:***@localhost:5432 ? [No]|Yes: yes Dropping "testdb" ... Done.