Ayush Shah d9551ed337
Fix #15 (#16)
* Fix #15

* Pylint Relative Imports handled

* Final Newline lint error resolved

* Pylint Unused Imports handled

* Pylint command modified

* AllowDenyPattern error resolved

* EntityReference changes for common to entityReference

* vscode settings removed

* Resolved reoccuring function

* pylintrc file implemented

* Fix pylintrc file

* Pylint Errors resolved + import errors resolved and includepattern included

Co-authored-by: Suresh Srinivas <srini3005@gmail.com>
2021-08-07 11:00:35 +05:30

1.4 KiB

description
This guide will help install MsSQL connector and run manually

MSSQL

MSSQL

{% hint style="info" %} Prerequisites

OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.

  1. Python 3.7 or above

  2. Create and activate python env

    python3 -m venv env
    source env/bin/activate
    

{% endhint %}

****

Install

pip install '.[mssql]'

Run Manually

metadata ingest -c ./pipelines/mssql.json

Configuration

{% code title="mssql.json" %}

{
  "source": {
    "type": "mssql",
    "config": {
      "host_port": "localhost:1433",
      "service_name": "local_mssql",
      "service_type": "MSSQL",
      "database":"catalog_test",
      "username": "sa",
      "password": "test!Password",
      "include_pattern": {
        "allow": ["catalog_test.*"]
      }
    }
  },
 ...

{% endcode %}

  1. username - pass the mssql username.
  2. password - password for the mssql username.
  3. service_name - Service Name for this mssql cluster. If you added mssql cluster through OpenMetadata UI, make sure the service name matches the same.
  4. host_port - Hostname and Port number where the service is being initialised.
  5. table_pattern - It contains allow, deny options to choose which pattern of datasets you want to ingest into OpenMetadata.
  6. database - _**_Database name from where data is to be fetched from.