# trino-python-client **Repository Path**: samkinghuang/trino-python-client ## Basic Information - **Project Name**: trino-python-client - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-08-12 - **Last Updated**: 2021-08-12 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README [![Build Status](https://github.com/trinodb/trino-python-client/workflows/ci/badge.svg)](https://github.com/trinodb/trino-python-client/actions?query=workflow%3Aci+event%3Apush+branch%3Amaster) [![Trino Slack](https://img.shields.io/static/v1?logo=slack&logoColor=959DA5&label=Slack&labelColor=333a41&message=join%20conversation&color=3AC358)](https://trino.io/slack.html) [![Presto: The Definitive Guide book download](https://img.shields.io/badge/Presto%3A%20The%20Definitive%20Guide-download-brightgreen)](https://www.starburstdata.com/oreilly-presto-guide-download/) # Introduction This package provides a client interface to query [Trino](https://trino.io/) a distributed SQL engine. It supports Python>=3.6 and pypy. # Installation ``` $ pip install trino ``` # Quick Start Use the DBAPI interface to query Trino: ```python 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 `Cursorfetchone()` or `Cursor.fetchmany()`. By default `Cursor.fetchmany()` fetches one row. Please set `trino.dbapi.Cursor.arraysize` accordingly. # Basic Authentication The `BasicAuthentication` class can be used to connect to a LDAP-configured Trino cluster: ```python 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() ``` # JWT Authentication The `JWTAuthentication` can be used to connect to a JWT token authentication enabled Trino cluster: ```python 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() ``` # Transactions The client runs by default in *autocommit* mode. To enable transactions, set *isolation_level* to a value different than `IsolationLevel.AUTOCOMMIT`: ```python 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.fetchone() cur.execute('INSERT INTO sometable VALUES (4, 5, 6)') cur.fetchone() ``` 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. # Development ## Getting Started With Development 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 `virtualenv` for development: ``` $ virtualenv .venv $ . .venv/bin/activate # TODO add requirements.txt: pip install -r requirements.txt $ pip install . ``` For development purpose, pip can reference the code you are modifying in a *virtualenv*: ``` $ pip install -e .[tests] ``` That way, you do not need to run `pip install` again to make your changes applied to the *virtualenv*. When the code is ready, submit a Pull Request. ## Code Style - 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](https://chris.beams.io/posts/git-commit/). ## Running Tests There is a helper scripts, `run`, that provides commands to run tests. Type `./run tests` to run both unit and integration tests. `trino-python-client` uses [pytest](https://pytest.org/) for its tests. To run only unit tests, type: ``` $ pytest tests ``` Then you can pass options like `--pdb` or anything supported by `pytest --help`. To run the tests with different versions of Python in managed *virtualenvs*, use `tox` (see the configuration in `tox.ini`): ``` $ tox ``` To run integration tests: ``` $ pytest integration_tests ``` 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]}` ## Releasing - [Set up your development environment](#Getting-Started-With-Development). - Check the local workspace is up to date and has no uncommitted changes ```bash git fetch -a && git status ``` - Change version in `trino/__init__.py` to a new version, e.g. `0.123.0`. - Commit ```bash git commit -a -m "Bump version to 0.123.0" ``` - Create an annotated tag ```bash git tag -m "" 0.123.0 ``` - Create release package and upload it to PyPI ```bash . .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 ```bash git push upstream master 0.123.0 ``` - Send release announcement. # Need Help? 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](https://trino.io/slack.html).