Connectors → MySQL

About MySQL

MySQL is one of the most popular open-source relational database management systems. MySQL has a proven track record of performance, reliability, and ease-of-use. A relational database organizes data into tables. These tables contain data types that can have relations. These relationships help structure the data. Programmers use SQL to create, extract, modify, and control access to data in a relational database.

MySQL Connector

Incorta loads data from a MySQL database using the MySQL connector. The MySQL Connector uses the 5.1.48 MySQL driver.

The MySQL connector supports the following Incorta specific functionality:

Feature	Supported
Chunking	✔
Data Agent	✔
Encryption at Ingest
Incremental Load	✔
Multi-Source	✔
OAuth
Performance Optimized	✔
Remote
Single-Source	✔
Spark Extraction	✔
Webhook Callbacks	✔

Steps to connect MySQL and Incorta

To connect MySQL and Incorta, here are the high level steps, tools, and procedures:

• Create an external data source
• Create a schema with the Schema Wizard
• or, Create a schema with the Schema Designer
• Load the schema
• Explore the schema

Create an external data source

Here are the steps to create a external data source with the MySQL connector:

• Sign in to the Incorta Direct Data Platform.
• In the Navigation bar, select Data.
• In the Action bar, select + New → Add Data Source.
• In the Choose a Data Source dialog, in Database, select MySQL.
• In the New Data Source dialog, specify the applicable connector properties.
• To test, select Test Connection.
• Select Ok to save your changes.

MySQL connector properties

Here are the properties for the MySQL connector:

Property	Control	Description
Data Source Name	text box	Enter the name of the data source
Username	text box	Enter the database username
Password	text box	Enter the database password
Connection Pool	text box	Enter the connection pool. The default is 30.
Connection String	text box	Enter the connection string for the MySQL JDBC driver. The format is: jdbc:mysql://<HOST>:<PORT>/<DATABASE_NAME> The default JDBC port for a MySQL Database is: 3306. Verify port numbers with your datasource configurations.
Connection Properties	text box	Customized string input of key/value pair properties. See below for details on connection properties.
Use Data Agent	toggle	Enable using a data agent to securely ingest data from an external data source that is behind a firewall. For more information, please review Tools → Data Agent and Tools → Data Manager.
Data Agent	drop down list	Enable Use Data Agent to configure this property. Select from the data agents created in the tenant, if any.

Connection Properties

The connection properties allow for customized connection to your MySQL database. The properties are accepted in a key=value format. The type of connector properties can range from username and password to SSL settings. The 5.1.48 MySQL driver determines the available connection properties. For a list of connection properties available with Incorta and a MySQL database refer to Configuration Properties for Connector.

Create a schema with the Schema Wizard

Here are the steps to create an MySQL schema with the Schema Wizard:

• Sign in to the Incorta Direct Data Platform.
• In the Navigation bar, select Schema.
• In the Action bar, select + New → Schema Wizard.

• In (1) Choose a Source, specify the following:

  • For Enter a name, enter the schema name.
  • For Select a Datasource, select the MySQL external data source.
  • Optionally create a description.
• In the Schema Wizard footer, select Next.
• In (2) Manage Tables, in the Data Panel, first select the name of the Data Source, and then check the Select All checkbox.
• In the Schema Wizard footer, select Next.
• In (3) Finalize, in the Schema Wizard footer, select Create Schema.

Create a schema with the Schema Designer

Here are the steps to create an MySQL schema using the Schema Designer:

• Sign in to the Incorta Direct Data Platform.
• In the Navigation bar, select Schema.
• In the Action bar, select + New → Create Schema.
• In Name, specify the schema name, and select Save.
• In Start adding tables to your schema, select SQL Database.
• In the Data Source dialog, specify the MySQL table data source properties.
• Select Add.
• In the Table Editor, in the Table Summary section, enter the table name.
• To save your changes, select Done in the Action bar.

MySQL table data source properties

For a schema table in Incorta, you can define the following MySQL specific data source properties as follows:

Property	Control	Description
Type	drop down list	Default is SQL Database
Data Source	drop down list	Select the MySQL external data source
Incremental	toggle	Enable the incremental load configuration for the schema table. See Types of Incremental Load.
Incremental Extract Using	drop down list	Enable Incremental to configure this property. Select between Last Successful Extract Time and Maximum Value of a Column. See Types of Incremental Load.
Incremental Column	drop down list	Enable Incremental and select Maximum Value of a Column to configure this property. Select the column to be used for Maximum Value of a Column. The Loader will track and use the greatest value or most recent timestamp for each load operation.
Query	text box	Enter the SQL query to retrieve data from the MySQL database
Update Query	text box	Enable Incremental to configure this property. Define the SQL update query to use during an incremental load.
Incremental Field Type	drop down list	Enable Incremental to configure this property. Select the format of the incremental field: Timestamp Unix Epoch (seconds) Unix Epoch (milliseconds)
Fetch Size	text box	Used for performance improvement, fetch size defines the number of records that will be retrieved from the database in each batch until all records are retrieved. The default is 5000.
Chunking Method	drop down list	Chunking methods allow for parallel extraction of large tables. The default is No Chunking. There are two chunking methods: By Size of Chunking (Single Table) By Date/Timestamp
Chunk Size	text box	Select By Size of Chunking for the Chunking Method to set this property. Enter the number of records to extract in each chunk in relation to the Fetch Size. The default is 3 times the Fetch Size.
Order Column	drop down list	Select By Size of Chunking for the Chunking Method to set this property. Select a column in the source table you want to order by before chunking. It’s typically an ID column and it must be numeric.
Upper Bound for Order Column	text box	Optional. Enter the maximum value for the order column.
Lower Bound for Order Column	text box	Optional. Enter the minimum value for the order column.
Order Column [Date/Timestamp]	drop down list	Select By Date/Timestamp for the Chunking Method to set this property. Select a column in the source table you want to order by before chunking. It should be a Date/Timestamp column.
Chunk Period	drop down list	Select the chunk period that will be used in dividing chunks: Daily Weekly (default) Monthly Yearly Custom
Number of days	text box	Select Custom for the Chunk Period to set this property. Enter the chunking period in days
Set Extraction Timeout	toggle	Enable the termination of extraction (loading) jobs for the SQL query for this table if the extraction time exceeds the configured time
Stop after (Minutes)	text box	Enable Set Extraction Timeout to configure this property. Enter the maximum number of minutes allowed for the loading job to complete before terminating it.
Enable Spark Based Extraction	toggle	Enable the configuration of a Spark job to parallelize the data ingest.
Max Number of Parallel Queries	text box	Enable Spark based extraction to configure this property. In a Spark job, specify the maximum number of parallel queries.
Column to Parallelize Queries on	drop down list	Enable Spark based extraction to configure this property. Select the numerical column in the source table that Spark will parallelize the extraction queries from.
Memory Per Extractor	text box	Enable Spark based extraction to configure this property. In a Spark job, allocate the amount of memory per extractor. Units are in gigabytes.
Callback	toggle	Enable post extraction callback, that is, enable callback on the data source data set(s) by invoking a certain callback URL with parameters containing details about the load job.
Callback URL	text box	Enable Callback to configure this property. Specify the callback URL.

View the schema diagram with the Schema Diagram Viewer

Here are the steps to view the schema diagram using the Schema Diagram Viewer:

• Sign in to the Incorta Direct Data Platform.
• In the Navigation bar, select Schema.
• In the list of schemas, select the MySQL schema.
• In the Schema Designer, in the Action bar, select Diagram.

Load the schema

Here are the steps to perform a Full Load of the MySQL schema using the Schema Designer:

• Sign in to the Incorta Direct Data Platform.
• In the Navigation bar, select Schema.
• In the list of schemas, select the MySQL schema.
• In the Schema Designer, in the Action bar, select Load → Load Now → Full.
• To review the load status, in Last Load Status, select the date.

Explore the schema

With the full load of the MySQL schema complete, you can use the Analyzer to explore the schema, create your first insight, and save the insight to a new dashboard.

To open the Analyzer from the schema, follow these steps:

• In the Navigation bar, select Schema.
• In the Schema Manager, in the List view, select the MySQL schema.
• In the Schema Designer, in the Action bar, select Explore Data.

Additional Considerations

Types of Incremental Load

You can enable Incremental Load for a MySQL table data source. There are two types of incremental extracts:

Last Successful Extract Time

Fetch updates since the last time the tables were loaded. Determined by the difference between the current time and the database timestamp.

Maximum Value of a Column

The column-based strategy depends on an extra column called “Incremental Column” in each table. The MySQL connector supports both timestamp and numeric columns. A timestamp column is of the type date or timestamp. A numeric column is of the type int or long.

Incremental Load Example

In this example, the invoices table must contain a column of the type Date or Timestamp in order to load the table incrementally with a last successful extract time strategy. In this case, the name of the date column is ModifiedDate and the format of the column is Timestamp.

Here are the data source property values for this example:

• Incremental is enabled
• Query contains SELECT * FROM `invoices`
• Update Query contains SELECT * FROM `invoices` WHERE `ModifiedDate` > ?

• Incremental Field Type = Timestamp

Valid Query Types

When creating a query for your MySQL Connector, please note that only SELECT statements are valid.