temp_table_database and temp_view_database | Teradata Package for Python - temp_table_database and temp_view_database - Teradata Package for Python

teradataml internally creates database objects (tables and views) as required while executing several functions. The temp_table_database and temp_view_database configurable options allow users to specify database names where tables and views are created, respectively. These two options give users flexibility to specify database names other than the default database to create views and tables.

The create_context function provides temp_database_name and database arguments that also allow users to specify the database name, where database objects can be created. If none of them are specified then the objects are created in users' default database.

Example

>>> from teradataml import *

>>> # Set the teradataml Configuration property 'temp_table_database' True
>>> configure.temp_table_database = "tempdb"

>>> load_example_data("dataframe", "admissions_train")

>>> # Load example loads sample tables to "tempdb" database as option is set.
>>> admissions_train = DataFrame.from_table(in_schema("tempdb","admissions_train"))

>>> glm_out1 = GLM(formula = "admitted ~ stats + masters + gpa + programming",
                           family = "LOGISTIC",
                           linkfunction = "LOGIT",
                           data = admissions_train,
                           weights = "1",
                           threshold = 0.01,
                           maxit = 25,
                           step = False,
                           intercept = True
                           )

>>> # If we observe query, we can find that output table is created in "tempdb"
>>> glm_out1.output.show_query()
select * from "tempdb"."teradataml_td_glm_mle0_1623374476821412";