Connect to and Query Paylocity Data in QlikView over ODBC

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Paylocity ODBC Driver

The Paylocity ODBC Driver is a powerful tool that allows you to connect with live data from Paylocity, directly from any applications that support ODBC connectivity.

Access Paylocity data like you would a database - read, write, and update Paylocity FALSE, etc. through a standard ODBC Driver interface.



Create data visualizations with Paylocity data in QlikView.

The CData ODBC drivers expand your ability to work with data from more than 200 data sources. QlikView is a business discovery platform that provides self-service BI for all business users in an organization. This article outlines simple steps to connect to Paylocity data using the CData ODBC driver and create data visualizations in QlikView.

The CData ODBC drivers offer unmatched performance for interacting with live Paylocity data in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView to Paylocity, the driver pushes supported SQL operations, like filters and aggregations, directly to Paylocity and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Paylocity data using native QlikView data types.

Connect to Paylocity as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Set the following to establish a connection to Paylocity:

  • RSAPublicKey: Set this to the RSA Key associated with your Paylocity, if the RSA Encryption is enabled in the Paylocity account.

    This property is required for executing Insert and Update statements, and it is not required if the feature is disabled.

  • UseSandbox: Set to true if you are using sandbox account.
  • CustomFieldsCategory: Set this to the Customfields category. This is required when IncludeCustomFields is set to true. The default value for this property is PayrollAndHR.
  • Key: The AES symmetric key(base 64 encoded) encrypted with the Paylocity Public Key. It is the key used to encrypt the content.

    Paylocity will decrypt the AES key using RSA decryption.
    It is an optional property if the IV value not provided, The driver will generate a key internally.

  • IV: The AES IV (base 64 encoded) used when encrypting the content. It is an optional property if the Key value not provided, The driver will generate an IV internally.

Connect Using OAuth Authentication

You must use OAuth to authenticate with Paylocity. OAuth requires the authenticating user to interact with Paylocity using the browser. For more information, refer to the OAuth section in the Help documentation.

The Pay Entry API

The Pay Entry API is completely separate from the rest of the Paylocity API. It uses a separate Client ID and Secret, and must be explicitly requested from Paylocity for access to be granted for an account. The Pay Entry API allows you to automatically submit payroll information for individual employees, and little else. Due to the extremely limited nature of what is offered by the Pay Entry API, we have elected not to give it a separate schema, but it may be enabled via the UsePayEntryAPI connection property.

Please be aware that when setting UsePayEntryAPI to true, you may only use the CreatePayEntryImportBatch & MergePayEntryImportBatchgtable stored procedures, the InputTimeEntry table, and the OAuth stored procedures. Attempts to use other features of the product will result in an error. You must also store your OAuthAccessToken separately, which often means setting a different OAuthSettingsLocation when using this connection property.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Populate a Chart with Paylocity Data

The steps below supply the results of an SQL query to a visualization in QlikView. In this article, you will create a bar chart with the query below:

SELECT FirstName, LastName FROM Employee WHERE EmployeeId = '1234'
  1. Click File -> Edit Script (or click the Edit Script button in the Toolbar).
  2. On the Data tab, select ODBC in the Database menu and click Connect.
  3. Select the DSN (CData Paylocity Sys) in the resulting dialog. A command like the following is generated: ODBC CONNECT TO [CData Paylocity Sys];
  4. Enter the SQL query directly into the script with the SQL command (or click Select to build the query in the SELECT statement wizard). SQL SELECT FirstName, LastName FROM Employee WHERE EmployeeId = '1234';

    Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to Paylocity, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.

  5. Close the script editor and reload the document to execute the script.
  6. Click Tools -> Quick Chart Wizard. In the wizard, select the chart type. This example uses a bar chart. When building the chart, you have access to the fields from Paylocity, typed appropriately for QlikView, thanks to built-in dynamic metadata querying.
  7. When defining Dimensions, select FirstName in the First Dimension menu.
  8. When defining Expressions, click the summary function you want and select LastName in the menu.
  9. Finish the wizard to generate the chart. The CData ODBC Driver for Paylocity connects to live Paylocity data, so the chart can be refreshed to see real-time changes. Live connections are possible and effective, thanks to the high-performance data processing native to CData ODBC Drivers.