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The Connection

To connect to a running HyperProcess, use the Connection class. The Connection class then provides you means to interact with Hyper by sending SQL commands or by using some other utilities like the catalog or the Inserter class.

from tableauhyperapi import HyperProcess, Telemetry, Connection

with HyperProcess(telemetry=Telemetry.SEND_USAGE_DATA_TO_TABLEAU) as hyper:
with Connection(endpoint=hyper.endpoint) as connection:
print(connection.execute_scalar_query("SELECT 1+3"))

The Connection can be created from an endpoint string. The endpoint string specifies how to connect to Hyper (which protocol to use, which port to use, ...) and can be obtained from the HyperProcess.endpoint property. Multiple connections can use the same HyperProcess instance, and Hyper is able to serve multiple SQL queries in parallel. However, each Connection must only ever be used on a single thread. Connection objects are not thread-safe.

Just like you should shutdown the HyperProcess, you should always close the connection when your application is finished interacting with the .hyper file. If you create the connection using a with statement (in Python; using in C#, a RAII scope in C++, or try-with-resourcesin Java), the connection will be closed at the end of the with. Alternatively, we could also call connection.close() to explicitly close the connection.

Sending SQL queries

The Connection class provides methods for executing SQL statements and queries. For more details, see Executing SQL Commands

Connecting to Hyper files

By default, a Connection is connected against no Hyper file at all. This means that commands such as CREATE TABLE will fail, because there is no corresponding .hyper file into which Hyper could store that table. Those database-less connections are still useful to, e.g., interact with external Parquet files, though.

To connect with a Hyper file, pass its file path as the database parameter to the Connection constructor.

from tableauhyperapi import HyperProcess, Telemetry, Connection, CreateMode

with HyperProcess(telemetry=Telemetry.SEND_USAGE_DATA_TO_TABLEAU) as hyper:
with Connection(hyper.endpoint, 'TrivialExample.hyper', CreateMode.NONE) as connection:
print(connection.execute_scalar_query('SELECT COUNT(*) FROM "my_table"'))
Hyper file extension

While Hyper itself allows database files with arbitrary file extensions, we highly recommend using the .hyper file extension. This is also the only file extension under which Hyper files are supported in Tableau products.

In addition, the CreateMode specifies how Hyper should react if the given Hyper file does not exist:

NONEThe database file will not be created. It is expected that the database already exists. An error will be raised if it does not exist
CREATEThe database will be created. It is expected that the database does not exist. An error will be raised if the file already exists; a pre-existing file will not be overwritten.
CREATE_AND_REPLACECreate an empty database. If the database file already exists, replace it by a new, empty database.
CREATE_IF_NOT_EXISTSIf the database file already exists, connect to it. Otherwise create a new, empty database and connect to it.
Single HyperProcess per file

A .hyper file can only be opened by one process at a time. That is, while your application is connected to the .hyper file, it has exclusive access: no other instance of Hyper can connect to the file. For example, you can't have a .hyper file opened in Tableau and at the same time use the Hyper API to read from or write to the same file. You can, however, open multiple connections to the same .hyper file at the same time by reusing the same HyperProcess instance.

Connection settings

Connection settings only apply to a single connection. Other connections to the same Hyper process are not affected. They can be set during connection startup. With the Hyper API, they can be passed to the Connection constructor.

Date and Time Settings

These settings control how date and time data is handled in a Hyper connection.


Controls the Locale setting that is used for dates. A Locale controls which cultural preferences the application should apply. For example, the literal Januar 1. 2002 can be converted to a date with the German locale de but not with the English locale en_US.

Allowed values start with a two-letter ISO-639 language code and an optional two-letter ISO-3166 country code. If a country code is used, an underscore has to be used to separate it from the language code. Some examples are: en_US (English: United States), en_GB (English: Great Britain), de (German), de_AT (German: Austria).


This setting has no influence on the order of day, month, and year inside a date literal. This is controlled by the date_style setting.

Default value: en_US


Controls how date strings are interpreted. Y, M and D stand for Year, Month, and Day respectively.

For example, the string "01/02/2000" could be interpreted as "2nd of January 2000" or "1st of February 2000". The first possibility is chosen with the MDY date style while the second is chosen with the DMY date style.

This setting also affects date parsing from CSV files.

Default value: MDY