phoenixdb is a Python library for accessing the Phoenix SQL database using the remote query server. The library implements the standard DB API 2.0 interface, which should be familiar to most Python programmers.
The easiest way to install the library is using pip:
pip install phoenixdbYou can also download the source code from GitHub, extract the archive and then install it manually:
cd /path/to/python-phoenix-x.y.z/
python setup.py installThe 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'])If you want to quickly try out the included examples, you can set up a local virtualenv with all the necessary requirements:
virtualenv e
source e/bin/activate
pip install -r requirements.txt
python setup.py developTo create or update the Avatica protobuf classes, change the tag in gen-protobuf.sh and run the script.
If you need a Phoenix query server for experimenting, you can get one running quickly using Docker:
docker-compose upOr if you need an older version of Phoenix:
PHOENIX_VERSION=4.9 docker-compose upThere is a Python-based interactive shell include in the examples folder, which can be used to connect to Phoenix and execute queries:
./examples/shell.py http://localhost:8765/
db=> CREATE TABLE test (id INTEGER PRIMARY KEY, name VARCHAR);
no rows affected (1.363 seconds)
db=> UPSERT INTO test (id, name) VALUES (1, 'Lukas');
1 row affected (0.004 seconds)
db=> SELECT * FROM test;
+------+-------+
| ID | NAME |
+======+=======+
| 1 | Lukas |
+------+-------+
1 row selected (0.019 seconds)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/'
nosetestsCommits to the master branch are automatically tested against all supported versions of Phoenix. You can see the results here.
- You can only use the library in autocommit mode. The native Java Phoenix library also implements batched upserts, which can be committed at once, but this is not exposed over the remote server. (CALCITE-767)
- 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, CALCITE-798)
- TIMESTAMP columns in Phoenix are stored with a nanosecond accuracy, but the remote protocol truncates them to milliseconds. (CALCITE-796)
- ARRAY columns are not supported. (CALCITE-1050, PHOENIX-2585)
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