Teradata SQL Driver Dialect for SQLAlchemy

This package enables SQLAlchemy to connect to the Teradata Database.

This package requires 64-bit Python 3.4 or later, and runs on Windows, macOS, and Linux. 32-bit Python is not supported.

For community support, please visit the Teradata Community forums.

For Teradata customer support, please visit Teradata Access.

Copyright 2025 Teradata. All Rights Reserved.

Table of Contents

Release Notes
Installation
License
Documentation
Using the Teradata SQL Driver Dialect for SQLAlchemy
Connection Parameters

Release Notes:

teradatasqlalchemy 20.0.0.6

Implemented partition_by() method to add partitioning clause while generating SQL query.

teradatasqlalchemy 20.0.0.5

Added support for below Teradata's datatypes:
- VECTOR

teradatasqlalchemy 20.0.0.4

Updated visit_column() method to accept new keyword argument table_only to process only table name without schema name while generating string representation of SQL expression.
Updated has_table() method to accept new keyword argument datalake to verify presence of table in datalake.

teradatasqlalchemy 20.0.0.3

Implemented visit_column() method to add table name or alias name while generating string representation of SQL expression.
Implemented visit_function() method to add table name or alias name while generating string representation of Function expression.

teradatasqlalchemy 20.0.0.2

Updated queryband utility to be used by multiple python packages in multilevel hierarchy of imports.
has_table() now checks for existence of views as well by default. When new keyword argument table_only is set to True, has_table() will exclusively check for existence of tables only.

teradatasqlalchemy 20.0.0.1

Minor bug fix for inline help.

teradatasqlalchemy 20.0.0.0

Added a utility to enable querybands for function calls in python packages. Any python client package can import queryband package and can configure its name and version to track the vantage usage with help of logs available with DBQlogTbl.

teradatasqlalchemy 17.20.0.0

Added support for SQLAlchemy >= 2.0
div operator is no more supported.

teradatasqlalchemy 17.0.0.5

Added xviews support for below APIs.:
- get_columns
- get_foreign_keys
- get_pk_constraint
- get_schema_names
- get_transaction_mode
- get_unique_constraints

teradatasqlalchemy 17.0.0.4

Added ART Table support for get_columns API.

teradatasqlalchemy 17.0.0.3

Resolved a minor bug.

teradatasqlalchemy 17.0.0.2

Added support for below Teradata's datatypes:
- JSON
- XML
- TDUDT
- GEOMETRY
- MBR
- MBB
Optimised below APIs
- has_table
- has_view
- get_table_names
- get_view_names
Minor bug fixes.

Installation

Use pip to install the Teradata SQL Driver Dialect for SQLAlchemy.

Platform	Command
macOS or Linux	`pip install teradatasqlalchemy`
Windows	`py -3 -m pip install teradatasqlalchemy`

When upgrading to a new version of the Teradata SQL Driver Dialect for SQLAlchemy, you may need to use pip install's --no-cache-dir option to force the download of the new version.

Platform	Command
macOS or Linux	`pip install --no-cache-dir -U teradatasqlalchemy`
Windows	`py -3 -m pip install --no-cache-dir -U teradatasqlalchemy`

License

Use of the Teradata SQL Driver Dialect for SQLAlchemy is governed by the License Agreement for the Teradata SQL Driver Dialect for SQLAlchemy.

When the Teradata SQL Driver Dialect for SQLAlchemy is installed, the LICENSE file is placed in the teradatasqlalchemy directory under your Python installation directory.

Documentation

When the Teradata SQL Driver Dialect for SQLAlchemy is installed, the README.md file is placed in the teradatasqlalchemy directory under your Python installation directory. This permits you to view the documentation offline, when you are not connected to the Internet.

The README.md file is a plain text file containing the documentation for the Teradata SQL Driver Dialect for SQLAlchemy. While the file can be viewed with any text file viewer or editor, your viewing experience will be best with an editor that understands Markdown format.

Using the Teradata SQL Driver Dialect for SQLAlchemy

Your Python script must import the sqlalchemy package in order to use the Teradata SQL Driver Dialect for SQLAlchemy.

import sqlalchemy

After importing the sqlalchemy package, your Python script calls the sqlalchemy.create_engine function to open a connection to the Teradata Database.

Specify the Teradata Database hostname as the host component of the URL. Note that COP Discovery is not implemented yet.

The URL's host component may optionally be followed by a slash and question mark /? and the URL's query component consisting of connection parameters specified as key=value pairs separated by ampersand & characters.

The username and password may be specified as a host prefix, or as connection URL parameters.

Username and password specified as a host prefix:

eng = sqlalchemy.create_engine('teradatasql://guest:please@whomooz')

Username and password specified as connection URL parameters:

eng = sqlalchemy.create_engine('teradatasql://whomooz/?user=guest&password=please')

Username and password specified as connection URL parameters take precedence over a host prefix, if both are specified.

Connection Parameters

The following table lists the connection parameters currently offered by the Teradata SQL Driver Dialect for SQLAlchemy.

Our goal is consistency for the connection parameters offered by the Teradata SQL Driver Dialect for SQLAlchemy and the Teradata JDBC Driver, with respect to connection parameter names and functionality. For comparison, Teradata JDBC Driver connection parameters are documented here.

Parameter	Default	Type	Description
`account`		string	Specifies the Teradata Database account. Equivalent to the Teradata JDBC Driver `ACCOUNT` connection parameter.
`column_name`	`false`	boolean	Controls the behavior of cursor `.description` sequence `name` items. Equivalent to the Teradata JDBC Driver `COLUMN_NAME` connection parameter. False specifies that a cursor `.description` sequence `name` item provides the AS-clause name if available, or the column name if available, or the column title. True specifies that a cursor `.description` sequence `name` item provides the column name if available, but has no effect when StatementInfo parcel support is unavailable.
`cop`	`true`	boolean	Specifies whether COP Discovery is performed. Equivalent to the Teradata JDBC Driver `COP` connection parameter.
`coplast`	`false`	boolean	Specifies how COP Discovery determines the last COP hostname. Equivalent to the Teradata JDBC Driver `COPLAST` connection parameter. When `coplast` is `false` or omitted, or COP Discovery is turned off, then no DNS lookup occurs for the coplast hostname. When `coplast` is `true`, and COP Discovery is turned on, then a DNS lookup occurs for a coplast hostname.
`database`		string	Specifies the initial database to use after logon, instead of the user's default database. Equivalent to the Teradata JDBC Driver `DATABASE` connection parameter.
`dbs_port`	`1025`	integer	Specifies Teradata Database port number. Equivalent to the Teradata JDBC Driver `DBS_PORT` connection parameter.
`encryptdata`	`false`	boolean	Controls encryption of data exchanged between the Teradata Database and the Teradata SQL Driver for Python. Equivalent to the Teradata JDBC Driver `ENCRYPTDATA` connection parameter.
`fake_result_sets`	`false`	boolean	Controls whether a fake result set containing statement metadata precedes each real result set.
`lob_support`	`true`	boolean	Controls LOB support. Equivalent to the Teradata JDBC Driver `LOB_SUPPORT` connection parameter.
`log`	`0`	integer	Controls debug logging. Somewhat equivalent to the Teradata JDBC Driver `LOG` connection parameter. This parameter's behavior is subject to change in the future. This parameter's value is currently defined as an integer in which the 1-bit governs function and method tracing, the 2-bit governs debug logging, the 4-bit governs transmit and receive message hex dumps, and the 8-bit governs timing. Compose the value by adding together 1, 2, 4, and/or 8.
`logdata`		string	Specifies extra data for the chosen logon authentication method. Equivalent to the Teradata JDBC Driver `LOGDATA` connection parameter.
`logmech`	`TD2`	string	Specifies the logon authentication method. Equivalent to the Teradata JDBC Driver `LOGMECH` connection parameter. Possible values are `TD2` (the default), `JWT`, `LDAP`, `KRB5` for Kerberos, or `TDNEGO`.
`max_message_body`	`2097000`	integer	Not fully implemented yet and intended for future usage. Equivalent to the Teradata JDBC Driver `MAX_MESSAGE_BODY` connection parameter.
`partition`	`DBC/SQL`	string	Specifies the Teradata Database Partition. Equivalent to the Teradata JDBC Driver `PARTITION` connection parameter.
`password`		string	Specifies the Teradata Database password. Equivalent to the Teradata JDBC Driver `PASSWORD` connection parameter.
`sip_support`	`true`	boolean	Controls whether StatementInfo parcel is used. Equivalent to the Teradata JDBC Driver `SIP_SUPPORT` connection parameter.
`teradata_values`	`true`	boolean	Controls whether `str` or a more specific Python data type is used for certain result set column value types.
`tmode`	`DEFAULT`	string	Specifies the transaction mode. Equivalent to the Teradata JDBC Driver `TMODE` connection parameter. Possible values are `DEFAULT` (the default), `ANSI`, or `TERA`.
`user`		string	Specifies the Teradata Database username. Equivalent to the Teradata JDBC Driver `USER` connection parameter.

Dependencies of teradatasqlalchemy (2).
Dependency	Optional
sqlalchemy	false
teradatasql	false

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teradatasqlalchemy

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