This package provides a client interface to query Trino a distributed SQL engine. It supports Python>=3.6 and pypy.
$ pip install trino
Use the DBAPI interface to query Trino:
import trino
conn = trino.dbapi.connect(
host='localhost',
port=8080,
user='the-user',
catalog='the-catalog',
schema='the-schema',
)
cur = conn.cursor()
cur.execute('SELECT * FROM system.runtime.nodes')
rows = cur.fetchall()
This will query the system.runtime.nodes
system tables that shows the nodes
in the Trino cluster.
The DBAPI implementation in trino.dbapi
provides methods to retrieve fewer
rows for example Cursor.fetchone()
or Cursor.fetchmany()
. By default
Cursor.fetchmany()
fetches one row. Please set
trino.dbapi.Cursor.arraysize
accordingly.
The BasicAuthentication
class can be used to connect to a Trino cluster configured with
the Password file authentication type, LDAP authentication type or Salesforce authentication type:
import trino
conn = trino.dbapi.connect(
host='coordinator url',
port=8443,
user='the-user',
catalog='the-catalog',
schema='the-schema',
http_scheme='https',
auth=trino.auth.BasicAuthentication("principal id", "password"),
)
cur = conn.cursor()
cur.execute('SELECT * FROM system.runtime.nodes')
rows = cur.fetchall()
The JWTAuthentication
class can be used to connect to a Trino cluster configured with
the JWT
authentication type:
import trino
JWT_TOKEN = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuYW1lIjoiSm9obiBEb2UifQ.DjwRE2jZhren2Wt37t5hlVru6Myq4AhpGLiiefF69u8'
conn = trino.dbapi.connect(
host='coordinator-url',
port=8443,
user='the-user',
catalog='the-catalog',
schema='the-schema',
http_scheme='https',
auth=trino.auth.JWTAuthentication(JWT_TOKEN),
)
cur = conn.cursor()
cur.execute('SELECT * FROM system.runtime.nodes')
rows = cur.fetchall()
OAuth2Authentication
class can be used to connect to a Trino cluster configured with the OAUTH2 authentication type:- A callback to handle the redirect url can be provided via param redirect_auth_url_handler, by default it just outputs the redirect url to stdout
import trino
conn = trino.dbapi.connect(
host='coordinator-url',
port=8443,
user='the-user',
catalog='the-catalog',
schema='the-schema',
http_scheme='https',
auth=trino.auth.OAuth2Authentication(),
)
cur = conn.cursor()
cur.execute('SELECT * FROM system.runtime.nodes')
rows = cur.fetchall()
The client runs by default in autocommit mode. To enable transactions, set
isolation_level to a value different than IsolationLevel.AUTOCOMMIT
:
import trino
from trino import transaction
with trino.dbapi.connect(
host='localhost',
port=8080,
user='the-user',
catalog='the-catalog',
schema='the-schema',
isolation_level=transaction.IsolationLevel.REPEATABLE_READ,
) as conn:
cur = conn.cursor()
cur.execute('INSERT INTO sometable VALUES (1, 2, 3)')
cur.fetchall()
cur.execute('INSERT INTO sometable VALUES (4, 5, 6)')
cur.fetchall()
The transaction is created when the first SQL statement is executed.
trino.dbapi.Connection.commit()
will be automatically called when the code
exits the with context and the queries succeed, otherwise
trino.dbapi.Connection.rollback()
will be called.
Start by forking the repository and then modify the code in your fork.
Clone the repository and go inside the code directory. Then you can get the
version with ./setup.py --version
.
We recommend that you use Python3's venv
for development:
$ python3 -m venv .venv
$ . .venv/bin/activate
$ pip install .
For development purpose, pip can reference the code you are modifying in a virtual env:
$ pip install -e .
# To additionally install all dependencies for development run below command
$ pip install -e '.[tests]'
That way, you do not need to run pip install
again to make your changes
applied to the virtual env.
When the code is ready, submit a Pull Request.
- For Python code, adhere to PEP 8.
- Prefer code that is readable over one that is "clever".
- When writing a Git commit message, follow these guidelines.
trino-python-client
uses pytest for its tests. To run
only unit tests, type:
$ pytest tests/unit
Then you can pass options like --pdb
or anything supported by pytest --help
.
To run the tests with different versions of Python in managed virtual envs,
use tox
(see the configuration in tox.ini
):
$ tox
To run integration tests:
$ pytest tests/integration
They pull a Docker image and then run a container with a Trino server:
- the image is named
trinodb/trino:${TRINO_VERSION}
- the container is named
trino-python-client-tests-{uuid4()[:7]}
- Set up your development environment.
- Check the local workspace is up to date and has no uncommitted changes
git fetch -a && git status
- Change version in
trino/__init__.py
to a new version, e.g.0.123.0
. - Commit
git commit -a -m "Bump version to 0.123.0"
- Create an annotated tag
git tag -m "" 0.123.0
- Create release package and upload it to PyPI
. .venv/bin/activate && pip install twine && rm -rf dist/ && ./setup.py sdist bdist_wheel && twine upload dist/* && open https://pypi.org/project/trino/ && echo "Released!"
- Push the branch and the tag
git push upstream master 0.123.0
- Send release announcement.
Feel free to create an issue as it make your request visible to other users and contributors.
If an interactive discussion would be better or if you just want to hangout and chat about the Trino Python client, you can join us on the #python-client channel on Trino Slack.