PostgresAdapter is a Python module containing optimized data adapters for importing data from PostgreSQL databases into NumPy arrays and Pandas DataFrame. It was previously a part of the IOPro project.
Building PostgresAdapter requires a number of dependencies. In addition to a C/C++ dev environment, the following modules are needed, which can be installed via conda:
- NumPy 1.11
- Pandas
- postgresql 0.9.3 (C lib)
Note: If building under Windows, make sure the following commands are issued within the Visual Studio command prompt for version of Visual Studio that matches the version of Python you're building for. Python 2.6 and 2.7 needs Visual Studio 2008, Python 3.3 and 3.4 needs Visual Studio 2010, and Python 3.5 needs Visual Studio 2015.
-
Install Docker. Add the current user to the
docker
group and restart the daemon, so thatdocker
commands can be executed without root privileges -
Build PostgresAdapter using the following command:
conda build buildscripts/condarecipe --python 3.5
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PostgresAdapter can now be installed from the built conda package:
conda install postgresadapter --use-local
Note: If building under Windows, make sure the following commands are issued within the Visual Studio command prompt for version of Visual Studio that matches the version of Python you're building for. Python 2.6 and 2.7 needs Visual Studio 2008, Python 3.3 and 3.4 needs Visual Studio 2010, and Python 3.5 needs Visual Studio 2015.
For building PostgresAdapter for local development/testing:
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Install most of the above dependencies into environment called 'postgresadapter':
conda env create -f environment.yml
Be sure to activate new postgresadapter environment before proceeding.
-
Build PostgresAdapter using Cython/distutils:
python setup.py build_ext --inplace
To get a test database running, execute the following command (after installing Docker):
docker run --rm --name postgres-db --publish 5432:5432 mdillon/postgis:9.5-alpine
The Docker image is a ~150MB download. Once downloaded it should take about 10 seconds for the database to start. Once the database is up you may connect to it over the command line:
psql -h localhost -U postgres
Once the test database is running, generate the test data by executing the following script:
./postgresadapter/tests/setup_postgresql_data.py
Tests can be run by calling the postgresadapter module's test function:
python -Wignore -c 'import postgresadapter; postgresadapter.test()'
To run the PostGIS tests, execute the following command:
python -Wignore -c 'import postgresadapter; postgresadapter.test_postgis()'
- TextAdapter (CSV, JSON, etc): https://github.com/ContinuumIO/TextAdapter
- DBAdapter (SQL derivatives): https://github.com/ContinuumIO/DBAdapter
- AccumuloAdapter (Apache Accumulo): https://github.com/ContinuumIO/AccumuloAdapter
- MongoAdapter (MongoDB): https://github.com/ContinuumIO/MongoAdapter