Metadata-Version: 2.1
Name: bcpy
Version: 0.1.6
Summary: Microsoft SQL Server bcp (Bulk Copy) wrapper
Home-page: https://github.com/titan550/bcpy
Author: John Shojaei
Author-email: titan550@gmail.com
License: UNKNOWN
Description: # bcpy
        
        <table>
        <tr>
          <td>Latest Release</td>
          <td>
            <a href="https://pypi.org/project/bcpy/">
            <img src="https://img.shields.io/pypi/v/bcpy.svg" alt="latest release" />
            </a>
          </td>
        </tr>
        <tr>
          <td>License</td>
          <td>
            <a href="https://github.com/titan550/bcpy/blob/master/LICENSE">
            <img src="https://img.shields.io/pypi/l/bcpy.svg" alt="license" />
            </a>
        </td>
        </tr>
        <tr>
          <td>Build Status (master)</td>
          <td>
            <a href="https://travis-ci.org/titan550/bcpy">
            <img src="https://api.travis-ci.org/titan550/bcpy.svg?branch=master" alt="travis build status" />
            </a>
          </td>
        </tr>
        </table>
        
        ## What is it?
        
        This package is a wrapper for Microsoft's SQL Server bcp utility. Current database drivers available in Python are not fast enough for transferring millions of records (yes, I have tried [pyodbc fast_execute_many](https://github.com/mkleehammer/pyodbc/wiki/Features-beyond-the-DB-API#fast_executemany)). Despite the IO hits, the fastest option by far is saving the data to a CSV file in file system (preferably /dev/shm tmpfs) and using the bcp utility to transfer the CSV file to SQL Server.
        
        ## How Can I Install It?
        
        1. Make sure your computeer has the [requirements](#requirements).
        1. You can download and install this package from PyPI repository by running the command below.
        
        ```bash
        pip install bcpy
        ```
        
        ## Examples
        
        Following examples show you how to load (1) flat files and (2) DataFrame objects to SQL Server using this package.
        
        ### Flat File
        
        Following example assumes that you have a comma separated file with no qualifier in path 'tests/data1.csv'. The code below sends the the file to SQL Server.
        
        ```python
        import bcpy
        
        
        sql_config = {
            'server': 'sql_server_hostname',
            'database': 'database_name',
            'username': 'test_user',
            'password': 'test_user_password1234'
        }
        sql_table_name = 'test_data1'
        csv_file_path = 'tests/data1.csv'
        flat_file = bcpy.FlatFile(qualifier='', path=csv_file_path)
        sql_table = bcpy.SqlTable(sql_config, table=sql_table_name)
        flat_file.to_sql(sql_table)
        ```
        
        ### DataFrame
        
        The following example creates a DataFrame with 100 rows and 4 columns populated with random data and then it sends it to SQL Server.
        
        ```python
        import bcpy
        import numpy as np
        import pandas as pd
        
        
        sql_config = {
            'server': 'sql_server_hostname',
            'database': 'database_name',
            'username': 'test_user',
            'password': 'test_user_password1234'
        }
        table_name = 'test_dataframe'
        df = pd.DataFrame(np.random.randint(-100, 100, size=(100, 4)),
                          columns=list('ABCD'))
        bdf = bcpy.DataFrame(df)
        sql_table = bcpy.SqlTable(sql_config, table=table_name)
        bdf.to_sql(sql_table)
        ```
        
        ## Requirements
        
        You need a working version of Microsoft bcp installed in your system. Your PATH environment variable should contain the directory of the bcp utility. Following are the installation tutorials for different operating systems.
        
        - [Dockerfile (Ubuntu 18.04)](./bcp.Dockerfile)
        - [Linux](https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-setup-tools)
        - [Mac](https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-setup-tools?view=sql-server-2017#macos)
        - [Windows](https://docs.microsoft.com/en-us/sql/tools/bcp-utility)
        
Keywords: bcp mssql
Platform: UNKNOWN
Classifier: Topic :: Database
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: SQL
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
