The tap-mssql extractor pulls data from Microsoft SQL Server that can then be sent to a destination using a loader.
Available Variants
Getting Started
Prerequisites
If you haven't already, follow the initial steps of the Getting Started guide:
Installation and configuration
- 
                Add the tap-mssql extractor to your project
                using
                
:meltano add - 
                Configure the tap-mssql settings using
                
:meltano config - 
                  Test that extractor settings are valid using
                  
:meltano config 
meltano add extractor tap-mssqlmeltano config tap-mssql set --interactivemeltano config tap-mssql testNext steps
Follow the remaining steps of the Getting Started guide:
If you run into any issues, learn how to get help.
Capabilities
      The current capabilities for
      tap-mssql
      may have been automatically set when originally added to the Hub. Please review the
      capabilities when using this extractor. If you find they are out of date, please
      consider updating them by making a pull request to the YAML file that defines the
      capabilities for this extractor.
    
This plugin has the following capabilities:
- catalog
 - discover
 - state
 
      You can
      override these capabilities or specify additional ones
      in your meltano.yml by adding the capabilities key.
    
Settings
      The
      tap-mssql settings that are known to Meltano are documented below. To quickly
      find the setting you're looking for, click on any setting name from the list:
    
      You can
      override these settings or specify additional ones
      in your meltano.yml by adding the settings key.
    
Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.
Host (host)
- 
          Environment variable:
          
TAP_MSSQL_HOST 
Your MSSQL server host.
Database (database)
- 
          Environment variable:
          
TAP_MSSQL_DATABASE 
Your MSSQL database name.
User (user)
- 
          Environment variable:
          
TAP_MSSQL_USER 
Your MSSQL username.
Password (password)
- 
          Environment variable:
          
TAP_MSSQL_PASSWORD 
Your MSSQL password.
Filter Databases (filter_dbs)
- 
          Environment variable:
          
TAP_MSSQL_FILTER_DBS 
A comma separated list of databases to filter for.
Port (port)
- 
          Environment variable:
          
TAP_MSSQL_PORT 
The MSSQL port, defaulted to 1433.
TDS Version (tds_version)
- 
          Environment variable:
          
TAP_MSSQL_TDS_VERSION 
The TDS version of the connection. Defaults to 7.3, connecting to older databases (ex MS SQL 2005) requires 7.0 or earlier. Please see the pymssql or FreeTSD documentation for more details. Also note, while this is a confusing topic version 7.3 is more current than 8.0.
Use Date Datatype (use_date_datatype)
- 
          Environment variable:
          
TAP_MSSQL_USE_DATE_DATATYPE - 
          Default Value: 
false 
To emit a date datatype as a date without a time component or time without an UTC offset. If this boolean config item is not set, the default behaviour is false i.e. emit date datatypes as a datetime. It is recommended to set this on if you have time datatypes and are having issues uploading into into a target database.
Characterset (characterset)
- 
          Environment variable:
          
TAP_MSSQL_CHARACTERSET 
The characterset for the database / source system. The default is utf8, however older databases might use a charactersets like cp1252 for the encoding. If you have errors with a UnicodeDecodeError: 'utf-8' codec can't decode byte .... then a solution is to examine the characterset of the source database / system and make an appropriate substitution for utf8 like cp1252.
Something missing?
This page is generated from a YAML file that you can contribute changes to.
Edit it on GitHub!Looking for help?
#plugins-general
    channel.
  Install
meltano add extractor tap-mssqlMaintenance Status
Meltano Stats
PyPI Stats
Keywords
