griddb / python_client

GridDB Python Client

GridDB Python Client

Overview

GridDB Python Client is developed using GridDB C Client and SWIG (Simplified Wrapper and Interface Generator).

Operating environment

Building of the library and execution of the sample programs have been checked in the following environment.

OS: CentOS 7.9(x64) (GCC 4.8.5)
SWIG: 4.0.2
Python: 3.10
GridDB C client: V5.0 CE(Community Edition)
GridDB server: V5.0 CE, CentOS 7.9(x64) (GCC 4.8.5)

OS: Ubuntu 18.04/20.04(x64) (gcc 7.5.0)
SWIG: 4.0.2
Python: 3.10
GridDB C client: V5.0 CE (Note: If you build from source code, please use GCC 4.8.5.)
GridDB server: V5.0 CE, Ubuntu 18.04(x64) (Note: If you build from source code, please use GCC 4.8.5.)

OS: Windows 10(x64) (VS2017)
SWIG: 4.0.2
Python: 3.10
GridDB C client: V5.0 CE
GridDB server: V5.0 CE, CentOS 7.9(x64) (GCC 4.8.5)

OS: MacOS Catalina (x86_64)
SWIG: 4.0.2
Python: 3.10
GridDB C client: V5.0 CE
GridDB server: V5.0 CE, Centos 7.9(x64) (GCC 4.8.5)

QuickStart (CentOS, Ubuntu)

Preparations

Install SWIG as below.

$ wget https://github.com/swig/swig/archive/refs/tags/v4.0.2.tar.gz
$ tar xvfz v4.0.2.tar.gz
$ cd swig-4.0.2
$ ./autogen.sh
$ ./configure
$ make
$ sudo make install

Note: If CentOS, you might need to install pcre in advance.
$ sudo yum install pcre2-devel.x86_64

Install GridDB Server and C Client. (Note: If you build them from source code, please use GCC 4.8.5.)

Set CPATH and LIBRARY_PATH.

export CPATH=$CPATH:<Python header file directory path>

export LIBRARY_PATH=$LIBRARY_PATH:<C client library file directory path>

Install Pandas and Numpy as below:

$ python3 -m pip install numpy
$ python3 -m pip install pandas

Build and Run

1. Execute the command on project directory.

$ make

2. Set the PYTHONPATH variable for griddb Python module files.

$ export PYTHONPATH=$PYTHONPATH:<installed directory path>

3. Import griddb_python in Python.

How to run sample

GridDB Server need to be started in advance.

1. Set LD_LIBRARY_PATH

    $ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:<C client library file directory path>

2. The command to run sample

    $ python3 sample/sample1.py <GridDB notification address> <GridDB notification port>
        <GridDB cluster name> <GridDB user> <GridDB password>
      -->Person: name=name02 status=False count=2 lob=[65, 66, 67, 68, 69, 70, 71, 72, 73, 74]

QuickStart (Windows)

Using source code

Please refer to Cmake Build Guide

Using MSI

Install Python Client

Install the MSI package, the package is extracted into C:/Program Files/griddb/Python Client/X.X.X folder.

Execute a Python client sample program

• Put sample1.py into C:/Program Files/GridDB/Python Client/X.X.X
• Run following command to execute program

  <PATH_TO>/python.exe sample1.py <GridDB notification address> <GridDB notification port>
          <GridDB cluster name> <GridDB user> <GridDB password>
  

Note: X.X.X is the software version.

QuickStart (MacOS)

Preparations

Install SWIG as below.

$ wget https://github.com/swig/swig/archive/refs/tags/v4.0.2.tar.gz
$ tar xvfz v4.0.2.tar.gz
$ cd swig-4.0.2
$ ./autogen.sh
$ ./configure
$ make
$ sudo make install

Note: If MacOS, you might need to install pcre in advance.
$ brew install pcre

Install GridDB Server and C Client. (Note: If you build them from source code, please use clang 11.0.0)

Set CPATH and LIBRARY_PATH.

export CPATH=$CPATH:<Python header file directory path>

export LIBRARY_PATH=$LIBRARY_PATH:<C client library file directory path>

Install Pandas and Numpy as below:

$ python3 -m pip install numpy
$ python3 -m pip install pandas

Build and Run

1. Execute the command on project directory.

$ make

2. Set the PYTHONPATH variable for griddb Python module files.

$ export PYTHONPATH=$PYTHONPATH:<installed directory path>

3. Import griddb_python in Python.

How to run sample

GridDB Server need to be started in advance.

1. Set DYLD_LIBRARY_PATH

    export DYLD_LIBRARY_PATH=${DYLD_LIBRARY_PATH}:<C client library file directory path>

2. The command to run sample

    $ python3 sample/sample1.py <GridDB notification address> <GridDB notification port>
        <GridDB cluster name> <GridDB user> <GridDB password>
      -->Person: name=name02 status=False count=2 lob=[65, 66, 67, 68, 69, 70, 71, 72, 73, 74]

Function

(available)

• STRING, BOOL, BYTE, SHORT, INTEGER, LONG, FLOAT, DOUBLE, TIMESTAMP, BLOB type for GridDB
• put single row, get row with key
• normal query, aggregation with TQL
• Multi-Put/Get/Query (batch processing)
• Array type for GridDB
• timeseries-specific function, affinity

(not available)

• GEOMETRY type for GridDB

Please refer to the following files for more detailed information.

• Python Client API Reference

Note:

1. The current API might be changed in the next version. e.g. ContainerInfo
2. When you install C Client with RPM or DEB, you don't need to set LIBRARY_PATH and LD_LIBRARY_PATH.
3. There is Python Client Package for CentOS, Ubuntu and MacOS on The Python Package Index (PyPI) .

Community

• Issues
  Use the GitHub issue function if you have any requests, questions, or bug reports.
• PullRequest
  Use the GitHub pull request function if you want to contribute code. You'll need to agree GridDB Contributor License Agreement(CLA_rev1.1.pdf). By using the GitHub pull request function, you shall be deemed to have agreed to GridDB Contributor License Agreement.

License

GridDB Python Client source license is Apache License, version 2.0.