A native Python client for the Vertica database.
Project description
# vertica-python
[](http://badge.fury.io/py/vertica-python)
Starting with v0.2.0 python_vertica interface is more consistent with dbapi. One big thing missing is server side cursors/streaming. The old interface is deprecated, but should still be supported.
vertica-python is a native Python adapter for the Vertica (http://www.vertica.com) database.
This package is a Python port of the excellent Vertica Ruby gem (https://github.com/sprsquish/vertica).
vertica-python is currently in a alpha stage; it has been tested for functionality, but does not have a test suite. Please use with caution, and feel free to submit issues and/or pull requests.
vertica-python has been tested with Vertica 6.1.2/7.0.0 and Python 2.6/2.7. Please let me know if it's working on other versions.
## Installation
If you're using pip >= 1.4 and you don't already have pytz installed:
pip install --pre pytz
To install vertica-python with pip:
pip install vertica-python
To install vertica-python with pip (with optional namedparams dependencies):
# see 'Using named parameters' section below
pip install 'vertica-python[namedparams]'
Source code for vertica-python can be found at:
http://github.com/uber/vertica-python
## Usage
**Buffered** (in-memory) results as list:
```python
from vertica_python import connect
connection = connect({
'host': '127.0.0.1',
'port': 5433,
'user': 'some_user',
'password': 'some_password',
'database': 'a_database'
})
cur = connection.cursor()
cur.execute("SELECT * FROM a_table LIMIT 2")
cur.fetchall()
# [ [1, 'something'], [2, 'something_else'] ]
connection.close()
```
**Buffered** (in-memory) results as dictionary:
```python
cur = connection.cursor('dict')
cur.execute("SELECT * FROM a_table LIMIT 2")
cur.fetchall()
# [ {'id': 1, 'value': 'something'}, {'id': 2, 'value': 'something_else'} ]
connection.close()
```
**Unbuffered** (streaming) results:
```python
def magical_row_handler(row):
print row
cur = connection.cursor(row_handler=magical_row_handler)
cur.execute("SELECT * FROM a_table LIMIT 2")
# {'id': 1, 'value': 'something'}
# {'id': 2, 'value': 'something_else'}
connection.close()
```
**Using named parameters** :
```python
# Using named parameter bindings requires psycopg2>=2.5.1 which is not includes with the base vertica_python requirements.
cur = connection.cursor()
cur.execute("SELECT * FROM a_table WHERE a = :propA b = :propB", {'propA': 1, 'propB': 'stringValue'})
cur.fetchall()
# [ [1, 'something'], [2, 'something_else'] ]
connection.close()
```
**Copy** :
```python
cur = connection.cursor()
cur.copy("COPY test_copy (id, name) from stdin DELIMITER ',' ", "1,foo\n2,bar")
# input stream copy is todo
```
## License
MIT License, please see `LICENSE` for details.
## Acknowledgements
Many thanks go to the contributors to the Ruby Vertica gem, since they did all of the wrestling with Vertica's protocol and have kept the gem updated. They are:
* [Matt Bauer](http://github.com/mattbauer)
* [Jeff Smick](http://github.com/sprsquish)
* [Willem van Bergen](http://github.com/wvanbergen)
* [Camilo Lopez](http://github.com/camilo)
[](http://badge.fury.io/py/vertica-python)
Starting with v0.2.0 python_vertica interface is more consistent with dbapi. One big thing missing is server side cursors/streaming. The old interface is deprecated, but should still be supported.
vertica-python is a native Python adapter for the Vertica (http://www.vertica.com) database.
This package is a Python port of the excellent Vertica Ruby gem (https://github.com/sprsquish/vertica).
vertica-python is currently in a alpha stage; it has been tested for functionality, but does not have a test suite. Please use with caution, and feel free to submit issues and/or pull requests.
vertica-python has been tested with Vertica 6.1.2/7.0.0 and Python 2.6/2.7. Please let me know if it's working on other versions.
## Installation
If you're using pip >= 1.4 and you don't already have pytz installed:
pip install --pre pytz
To install vertica-python with pip:
pip install vertica-python
To install vertica-python with pip (with optional namedparams dependencies):
# see 'Using named parameters' section below
pip install 'vertica-python[namedparams]'
Source code for vertica-python can be found at:
http://github.com/uber/vertica-python
## Usage
**Buffered** (in-memory) results as list:
```python
from vertica_python import connect
connection = connect({
'host': '127.0.0.1',
'port': 5433,
'user': 'some_user',
'password': 'some_password',
'database': 'a_database'
})
cur = connection.cursor()
cur.execute("SELECT * FROM a_table LIMIT 2")
cur.fetchall()
# [ [1, 'something'], [2, 'something_else'] ]
connection.close()
```
**Buffered** (in-memory) results as dictionary:
```python
cur = connection.cursor('dict')
cur.execute("SELECT * FROM a_table LIMIT 2")
cur.fetchall()
# [ {'id': 1, 'value': 'something'}, {'id': 2, 'value': 'something_else'} ]
connection.close()
```
**Unbuffered** (streaming) results:
```python
def magical_row_handler(row):
print row
cur = connection.cursor(row_handler=magical_row_handler)
cur.execute("SELECT * FROM a_table LIMIT 2")
# {'id': 1, 'value': 'something'}
# {'id': 2, 'value': 'something_else'}
connection.close()
```
**Using named parameters** :
```python
# Using named parameter bindings requires psycopg2>=2.5.1 which is not includes with the base vertica_python requirements.
cur = connection.cursor()
cur.execute("SELECT * FROM a_table WHERE a = :propA b = :propB", {'propA': 1, 'propB': 'stringValue'})
cur.fetchall()
# [ [1, 'something'], [2, 'something_else'] ]
connection.close()
```
**Copy** :
```python
cur = connection.cursor()
cur.copy("COPY test_copy (id, name) from stdin DELIMITER ',' ", "1,foo\n2,bar")
# input stream copy is todo
```
## License
MIT License, please see `LICENSE` for details.
## Acknowledgements
Many thanks go to the contributors to the Ruby Vertica gem, since they did all of the wrestling with Vertica's protocol and have kept the gem updated. They are:
* [Matt Bauer](http://github.com/mattbauer)
* [Jeff Smick](http://github.com/sprsquish)
* [Willem van Bergen](http://github.com/wvanbergen)
* [Camilo Lopez](http://github.com/camilo)
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