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URL: https://www.cdata.com/kb/tech/mysql-cloud-microstrategy.rst

⇱ Connect to Live MySQL Data in MicroStrategy through CData Connect AI


Connect to Live MySQL Data in MicroStrategy through CData Connect AI

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Create a live connection to MySQL Data in CData Connect AI and connect to your MySQL data from MicroStrategy.

MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy with CData Connect AI, you gain database-like access to live MySQL data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through connecting to MySQL in Connect AI and connecting to Connect AI in MicroStrategy to create a simple visualization of MySQL data.

As a cloud-based integration platform, Connect AI is ideal for working with cloud-based BI and analytics tools. With no servers to configure or data proxies to set up, you can simply use the web-based UI to create a live connection to MySQL and connect from MicroStrategy to start performing analytics based on live MySQL data.

Configure MySQL Connectivity for Microstrategy

Connectivity to MySQL from Microstrategy is made possible through CData Connect AI. To work with MySQL data from Microstrategy, we start by creating and configuring a MySQL connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "MySQL" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to MySQL.

    The CData Provider supports connecting to on-premises and cloud-hosted versions of MySQL such as Amazon RDS for MySQL, Google Cloud SQL for MySQL, Azure Database for MySQL, or Oracle MySQL HeatWave. The Server and Port properties must be set to a MySQL server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, tables from all databases will be returned.

    SSH Connectivity for MySQL

    You can use SSH (Secure Shell) to authenticate with MySQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

    SSH Connections to MySQL in Password Auth Mode

    To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

    • User: MySQL User name
    • Password: MySQL Password
    • Database: MySQL database name
    • Server: MySQL Server name
    • Port: MySQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Password"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHPassword: SSH Password

    SSH Connections to MySQL in Public Key Auth Mode

    To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

    • User: MySQL User name
    • Password: MySQL Password
    • Database: MySQL database name
    • Server: MySQL Server name
    • Port: MySQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Public_Key"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHClientCret: the path for the public key certificate file
    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add MySQL Connection page and update the User-based permissions. πŸ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. πŸ‘ Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to MySQL data from MicroStrategy.

Connect to and Visualize MySQL Data Using MicroStrategy

You can connect to MySQL in MicroStrategy by adding a data source based on the native SQL Server functionality. Once you have created a data source, you can build dynamic visualizations of MySQL data in MicroStrategy.

  1. Open MicroStrategy and select your account.
  2. Click Add External Data, select Databases, and use Select Tables as the Import Option. πŸ‘ Adding External Data
  3. In the Import from Tables wizard, click to add a new Data Source.
  4. Select "SQL Server" in the Database menu and select "SQL Server 2017" in the Version menu.
  5. Sat the connection properties as follows:
    • Server Name: tds.cdata.com
    • Port Number: 14333
    • Database Name: the name of your MySQL connection (e.g. MySQL1)
    • User: a Connect AI user
    • Password: the PAT for your Connect AI user
    • Data Source Name: a name for the new external data source, like "CData Cloud MySQL"
  6. Expand the menu for the new data source and choose "Edit Catalog Options"πŸ‘ Edit the catalog options.
  7. Edit the "SQL statement retrieve columns ..." query to include TABLE_SCHEMA = '#?Schema_Name?#' in the WHERE clause, and click Apply and then OK (the complete query is below).

    SELECT DISTINCT 
     TABLE_SCHEMA NAME_SPACE, 
     TABLE_NAME TAB_NAME, 
     COLUMN_NAME COL_NAME, 
     (CASE 
     WHEN 
     (DATA_TYPE LIKE '%char' AND (CHARACTER_SET_NAME='utf8' OR CHARACTER_SET_NAME='usc2')) 
     THEN 
     CONCAT('a',DATA_TYPE) 
     ELSE 
     DATA_TYPE 
     END) DATA_TYPE, 
     CHARACTER_MAXIMUM_LENGTH DATA_LEN, 
     NUMERIC_PRECISION DATA_PREC, 
     NUMERIC_SCALE DATA_SCALE 
    FROM 
     INFORMATION_SCHEMA.COLUMNS 
    WHERE 
     TABLE_NAME 
    IN 
     (#TABLE_LIST#) AND TABLE_SCHEMA='#?Schema_Name?#' 
    ORDER BY 
     1,2,3
    
  8. Select the new data source and select the Namespace that corresponds to your virtual MySQL database (like MySQL1).
  9. Drag tables into the pane to insert then. πŸ‘ Select tables to insert.
    Note: Since we create a live connection, we can insert whole tables and utilize the filtering and aggregation features native to the MicroStrategy products to customize our datasets.
  10. Click Finish, choose the option to connect live, save the query, and choose the option to create a new dossier. Live connections are possible and effective, thanks to high-performance data processing native to CData Connect AI. πŸ‘ Save the query and create a new dossier.
  11. Choose a visualization, choose fields to display, and apply any filters to create a new visualization of MySQL data. Data types are discovered automatically through dynamic metadata discovery. Where possible, the complex queries generated by the filters and aggregations will be pushed down to MySQL, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed by the CData SQL engine embedded in Connect AI. πŸ‘ Visualize MySQL data.
  12. Once you have finished configuring the dossier, click File -> Save.

Using CData Connect AI with MicroStrategy, you can easily create robust visualizations and reports on MySQL data. For more information on connecting to MySQL (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live MySQL data in MicroStrategy.