set_context | Teradata Python Package - set_context - Teradata Package for Python

The set_context function specifies a Vantage sqlalchemy engine as current context.

Example

The following example creates two contexts using different host, then sets the context to the first one.

>>> from teradataml.context.context import *
>>> from teradataml.dataframe.dataframe import DataFrame

Create a connection:

>>> td_connection1 = create_context(host = "myhostname", username="myusername", password = "mypassword")

Overwrite the existing connection with new connection using 'create_context()':

>>> td_connection2 = create_context(host = "myhostname2", username="myusername2", password = "mypassword2")
302: UserWarning: [Teradata][teradataml](TDML_2002) Overwriting an existing context associated with Teradata connection. Most of the operations on any teradataml DataFrames created before this will not work.
  warnings.warn(Messages.get_message(MessageCodes.OVERWRITE_CONTEXT))

Get the engine currently associated with the context:

>>> get_context()
Engine(teradatasql://myusername2:***@myhostname2)

Overwrite the existing context, by passing a sqlalchemy engine object as input to 'set_context()', thereby creating a new context:

>>> set_context(tdsqlengine = td_connection1)
302: UserWarning: [Teradata][teradataml](TDML_2002) Overwriting an existing context associated with Teradata connection. Most of the operations on any teradataml DataFrames created before this will not work.
  warnings.warn(Messages.get_message(MessageCodes.OVERWRITE_CONTEXT))

>>> get_context()
Engine(teradatasql://myusername:***@myhostname)