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phoenixdb

Phoenix database adapter for Python

  • 1.2.2
  • PyPI
  • Socket score

Maintainers
4

Phoenix database adapter for Python

phoenixdb is a Python library for accessing Apache Phoenix <http://phoenix.apache.org/>_ using the remote query server <http://phoenix.apache.org/server.html>. This library implements the standard DB API 2.0 <https://www.python.org/dev/peps/pep-0249/> interface and a subset of SQLAlchemy <https://www.sqlalchemy.org/>_, either of which should be familiar to most Python programmers.

Installation from PyPI

The easiest way to install the latest official release of phoenixdb is from PyPI::

pip install phoenixdb

Installation from Source

The source code is part of the phoenix-queryserver source distribution. You can download it from https://phoenix.apache.org/, or get the latest development version from https://github.com/apache/phoenix-queryserver

Extract the archive and then install it manually::

cd /path/to/phoenix-queryserver-x.y.z/python-phoenixdb
pip install -r requirements.txt
python setup.py install

Note that old versions of pip and setuptools have various bugs and incompatibilities that may result in installation errors, especially on old python versions. If you encounter problems while building, update your pip and setuptools, and try again::

pip install --upgrade pip
pip install --upgrade setuptools

Usage

The library implements the standard DB API 2.0 interface, so it can be used the same way you would use any other SQL database from Python, for example::

import phoenixdb
import phoenixdb.cursor

database_url = 'http://localhost:8765/'
conn = phoenixdb.connect(database_url, autocommit=True)

cursor = conn.cursor()
cursor.execute("CREATE TABLE users (id INTEGER PRIMARY KEY, username VARCHAR)")
cursor.execute("UPSERT INTO users VALUES (?, ?)", (1, 'admin'))
cursor.execute("SELECT * FROM users")
print(cursor.fetchall())

cursor = conn.cursor(cursor_factory=phoenixdb.cursor.DictCursor)
cursor.execute("SELECT * FROM users WHERE id=1")
print(cursor.fetchone()['USERNAME'])

Setting up a development environment

If you want to quickly try out the included examples, you can set up a local virtualenv <https://virtualenv.pypa.io/en/latest/>_ with all the necessary requirements::

virtualenv e
source e/bin/activate
pip install -r requirements.txt
python setup.py develop

You can start a Phoenix QueryServer instance on http://localhost:8765 for testing by running the following command in the pohoenix-queryserver-parent directory::

mvn clean verify -Pshade-javax-servlet -am -pl phoenix-queryserver-it -Dtest=foo \
-Dit.test=QueryServerBasicsIT#startLocalPQS \
-Ddo.not.randomize.pqs.port=true -Dstart.unsecure.pqs=true

You can start a secure (https+kerberos) Phoenix QueryServer instance on https://localhost:8765 for testing by running the following command in the phoenix-queryserver-parent directory::

mvn clean verify -Pshade-javax-servlet -am -pl phoenix-queryserver-it -Dtest=foo \
-Dit.test=SecureQueryServerPhoenixDBIT#startLocalPQS \
-Ddo.not.randomize.pqs.port=true -Dstart.secure.pqs=true

this will also create a shell script in phoenix-queryserver-it/target/krb_setup.sh, that you can use to set up the environment for the tests.

Note: Depending on the Phoenix version used for building, you may or may not need the -Pshade-javax-servlet option. See BUILDING.md in the repository root for more information.

If you want to use the library without installing the phoenixdb library, you can use the PYTHONPATH environment variable to point to the library directly::

cd phoenix-queryserver-parent/python-phoenixdb
python setup.py build
cd ~/my_project
PYTHONPATH=$PHOENIX_HOME/build/lib python my_app.py

Don't forget to run flake8 on your changes.

Running the test suite

The library comes with a test suite for testing Python DB API 2.0 compliance and various Phoenix-specific features. In order to run the test suite, you need a working Phoenix database and set the PHOENIXDB_TEST_DB_URL environment variable::

export PHOENIXDB_TEST_DB_URL='http://localhost:8765/'
tox

If you use a secure PQS server, you can set the connection parameters via the following environment variables:

  • PHOENIXDB_TEST_DB_TRUSTSTORE
  • PHOENIXDB_TEST_DB_AUTHENTICATION
  • PHOENIXDB_TEST_DB_AVATICA_USER
  • PHOENIXDB_TEST_DB_AVATICA_PASSWORD

Similarly, tox can be used to run the test suite against multiple Python versions::

pyenv install 3.5.5
pyenv install 3.6.4
pyenv install 2.7.14
pyenv global 2.7.14 3.5.5 3.6.4
PHOENIXDB_TEST_DB_URL='http://localhost:8765' tox

You can use tox and docker to run the tests on supported python versions without installing the environments locally::

docker build -t toxtest .
docker run --rm --add-host=host.docker.internal:host-gateway -v `pwd`:/src toxtest

You can also run the test suite from maven as part of the Java build by setting the run.full.python.testsuite property. You DO NOT need to set the PHOENIXDB_* enviroment variables, maven will set them up for you. The output of the test run will be saved in phoenix-queryserver/phoenix-queryserver-it/target/python-stdout.log and python-stderr.log::

mvn clean verify -Drun.full.python.testsuite=true

Known issues

  • When using phoenixdb 1.2.0 or later with Python 2, phoenixdb will not work unless the Python protobuf library uses the 'cpp' implementation. See https://issues.apache.org/jira/browse/PHOENIX-6863 on how to work around the issue.
  • TIME and DATE columns in Phoenix are stored as full timestamps with a millisecond accuracy, but the remote protocol only exposes the time (hour/minute/second) or date (year/month/day) parts of the columns. (CALCITE-797 <https://issues.apache.org/jira/browse/CALCITE-797>, CALCITE-798 <https://issues.apache.org/jira/browse/CALCITE-798>)
  • TIMESTAMP columns in Phoenix are stored with a nanosecond accuracy, but the remote protocol truncates them to milliseconds. (CALCITE-796 <https://issues.apache.org/jira/browse/CALCITE-796>_)

SQLAlchemy feature support

SQLAlchemy has a wide breadth of API, ranging from basic SQL commands to object-relational mapping support.

Today, python-phoenixdb only supports the following subset of the complete SQLAlchemy API:

  • Textual SQL <https://docs.sqlalchemy.org/en/13/core/tutorial.html#using-textual-sql>_

All other API should be considered not implemented.

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