MySQL Walkthrough

This guide will walk you through the steps needed to integrate data from a MySQL database (on-prem or managed service) into a cloud target using Rivery.

The following topics will be covered:

• Configure MySQL for Rivery
• Pull MySQL data into a Target
• Schedule the River
• Monitor the River

Configure MySQL For Rivery

Create a User for Rivery

In order to extract data, it's recommended to create a new user in the database for Rivery.

Replace the and with your own values.
Replace the <RiveryUsername> and <password> with your own values.

• For MySQL versions <= 8.0.3:

  CREATE USER  ' < RiveryUsername > '@'%' IDENTIFIED BY  '< password >';

• For MySQL versions >= 8.0.4:

CREATE USER '<RiveryUsername>'@'localhost' IDENTIFIED WITH  mysql_native_password  BY '< password >';

Now, grant your username with the following privileges in your MySQL Database:

GRANT SELECT, SHOW DATABASES, SHOW VIEW, EXECUTE ON *.* TO '< RiveryUsername >';

Open Rivery IPs in MySQL Database Firewall

In order to make a successful connection, there is a need to open Rivery IPs in the MySQL (or SSH Tunnel) server firewall.

Open the IPs for the wanted MySQL port, if it's a direct connection from Rivery to the database server, or use the wanted SSH Tunnel ports if the connection to the DB runs over an ssh tunneling.

Pull MySQL Data into a Target

Using Rivery, you can pull data from your MySQL tables and send that data into your target database.

First select 'Create New River' from the top right of the Rivery screen.

Choose Data Source to Target as your river type.

In the 'General Info' tab, name your river and give it a description. Next, navigate to the 'Source' tab.

Find MySQL in the list of data sources and select it:

Define a Source Connection (this will be the connection created earlier in the process). If you do not yet have a MySQL connection in your Rivery account, you can create a new connection here by clicking 'Create New Connection.'

Next, choose your River mode.

• Multi-Tables : Load multiple tables simultaneously from MySQL to your target.
• Custom Query : Create a custom query and load it into your target.
• Legacy River : Choose a single source table to load into a single target.

Database Migration

For a detailed walk through of Multi-Tables mode, please refer to the Rivery Database Migration docs.

Pulling Data Using a Custom Query

You may also use the Custom Query in order to define a query data pull from Rivery. You may use any query that works in the source, using a specific SELECT query without any other statements. Rivery isn’t compatible using multi-statements or SQL Script in the custom query field.

Extract Method:

Using Rivery, you can pull your data incrementally or pull the entirety of the data that exists in the table:

• All: Fetch all data in the table using Chunks.
• Incremental: Gives you the option to run over a column in a table or your custom query top SELECT. You can run over it by filtering Start and End dates or Epoch times

Moreover, you may choose to run over the date using Daily, Monthly, Weekly, or Yearly chunks.

Please define the incremental Field to be used in the Incremental Field section. After choosing the incremental field, choose the Incremental Type and the dates/values you would like to fetch.

Note: Rivery will manage the increments over the runs using the Maximum value in the data. This means you will always get the entire data since the last run, which prevents data holes. You just need to configure your river once.

Recommended : Define your incremental field in Rivery over a field with an Index or Partitions key in the table.

Special note with use case: Rivery updates the Start Date after a river finished to be as the previous End Date.
Setting the river to increment in this case will run until the last increment value (included if you checked the "include end value"), but the Start Date will be the one before the last increment value so the next river run will pick up the last record along with other records.
E.g., If you have one record each day, and you execute a river 7 days ago until today, the new Start Date will be yesterday (where the last increment is today).

Please Note:
The Start Date won't be advanced if a River run is unsuccessful.
If you don't want this default setting, click More Options and check the box to advance the start date even if the River run is unsuccessful (Not recommended).

Limit and Auto Mapping:

After defining the extract method, you may choose a limit of top N rows to fetch. Rivery will set your Schema using the Auto Mapping feature. You can also choose fields you want to fetch in the Mapping table and add fields on your own.

Legacy River Mode

This river mode allows for the load of a single source table into a single target table.

In the above screenshot, there are steps to define the source table to pull (Rivery will auto-detect available schemas and tables), the extraction method to use, and options for filters or row limits on the data pull.

Multi-Table Mode

Load multiple tables simultaneously from SQL Server to your target. There are two Default Extraction Modes: Standard Extraction and Log-Based.

On the 'Table Settings' tab you are able to edit the following:

• Change the loading mode
• Change the extraction method. If 'Incremental' is selected, you can then define which field will be used to define the increment.
• Filter by expresion that will be used as a WHERE clause to fetch the selected data from the table.

Schedule the River

Once the creation of the river is complete, navigate to the 'Schedule' tab and click 'Schedule Me.'

Choose the frequency at which to schedule the river.

To notify certain users about a river failure or warning, enable notifications below:

You can edit your {Mail_Alert_Group} in the Variables page (find this in the left-hand pane of the browser).

Monitor the River

During the river run, or after the run has complete, you can monitor the river in its 'Activities' tab.

In this tab you can monitor each the status of the current river run. For the Multi-Table mode, you can monitor at the table-level (see above).

By toggling between 'Run View' and 'Target View' you can see the river results grouped either by time of run or by target location.

Check out the Targets section to find out how to load the data to your target data warehouse.