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Google Drive

The Qlik Google Drive Web Storage Provider connector lets you fetch your stored data from Google Drive repositories, allowing you to stream data directly into your Qlik Sense app from your Google Drive account, just as you would from a local file. You can also export and upload compiled table data into your remote Google Drive repository.

Warning: The Google Drive Connector is currently only available to cloud editions of Qlik Sense.
Warning: When you authenticate the Google Drive Web Storage Provider Connector, the entire Google Drive account is available through the connection. If you share an app that has a Google Drive connection, the app user can access the Google Drive account through the connector.

Connecting to an Google Drive account

To access your Google Drive data, you will need to authenticate the connector with your Google Drive account credentials.

You can access the connector through Add data and the Data load editor.

  • From Add data, select Google Drive from the list of data connectors.
  • From the Data load editor, click Create new connection and select Google Drive.


The first step to create a Google Drive connection is to authenticate the connector with your Google Drive credentials. You need to sign into your Google Drive account to generate an authentication code.

To do this, select Authenticate to open the Google Drive sign-in page. Sign in and then copy and paste the authentication code into the connector. Click Verify.

Tip: If the Google Drive log-in page does not open, disable your pop-up blocker in your browser.

After you click Verify, the account details are displayed in the connection dialog. If the authentication token has an expiry date, it will be shown here. You can select Update to change the Google Drive connection credentials or to generate a new expiration date.

Tip: If your connection has an expiration date, we recommend that you set a calendar reminder to update your authentication token before it expires.

When you are finished setting up your data connection, click Create to save the connection. The connection credentials are verified automatically. From the Data load editor, you can also verify the connection before you create it by clicking Test Connection.


Add data

You can specify a connection name or leave the default name for the connection.

Data load editor

You must specify a name for the connection before you can save the connection.

Connector location

The location of the connection depends on how you select data.

  • From Add data, it will be saved under File Locations.

  • From the Data load editor, it will be saved under Data connections with the name that you provided.

Selecting data with a Google Drive connection

When you create a Google Drive connection with Add data, the data selection step follows immediately. When you create a data connection with the Data load editor, you need to open the data connection before you can select data.

To select data, first, navigate to the file path location on your Google Drive account. Next, locate your files by clicking on the folder names. You can navigate backwards by clicking on the previous folder in the path field or by clicking B. You can filter the file types that are shown by using the File type drop-down menu.

Select and load data from the following file types:

  • .html
  • .xml
  • .xlsx
  • .xls
  • .qvd
  • .qvx
  • .kml
  • .csv
  • .txt

First, select a file. Then, select the data tables and the data fields that you want to load. You can rename data fields before loading them into Qlik Sense by clicking on the field name and entering a new name. The new name is mapped by Qlik Sense as an alias to that field name in the database.

Data file properties

If you are loading data from an excel file or from a delimited file, you may need to adjust the data file properties. The following table describes the data file properties for these file types:

Parameter Option Description For file type
Field names Embedded field names Set to specify if the table contains Embedded field names or No field names. Typically, in an Excel spreadsheet, the first row contains the embedded field names.

Delimited files


  No field names Select if the fields are not labeled. If you select this option, fields will be named A,B,C...

Delimited files


Header size   Set to the number of header rows to ignore. Typically, you want to exclude rows that contain general information that is not in a columnar format.

Delimited files


Delimiter   Set the field delimiter. Select a standard delimiter (comma, semicolon, space, tab) or a custom delimiter. Delimited files
Quoting MSQ Used to specify modern style quoting which allows multi-line content. End-of-line characters must be enclosed with double quotation marks. Double quotation marks (“) appearing as the first or last character in field content will be interpreted as the start or end of multi-line content. Delimited files
Standard Used to specify standard quoting. Double and single quotation marks accepted only when they are the first and last blank character of a field value. Delimited files
No Quote Used if quotation marks are not to be accepted in the file. Delimited files
Character set   Select the character set for the data you are loading. Select a standard character set or a custom character set. Delimited files
Ignore end-of-file-character   Select to ignore characters with code point 26, which otherwise denotes an end-of-file character, are disregarded and can be part of a field value. Only relevant for .txt files Delimited files
Comment   Data files can contain comments between records. Comments are denoted by starting a line with one or more special characters, for example //. Specify one or more characters to denote a comment line. Qlik Sense does not load lines starting with the character(s) specified here. Delimited files

Load data into your Qlik Sense app

Once you have finished selecting data, you can load your data into your Qlik Sense app. How you proceed will depend on whether you load data with Add data or the Data load editor.

Add data

To load data using Add data, click Add data. This will open the data in the Associations view of the data manager. In the associations view, you can continue to add data sources, transform the data, and associate the tables in Data manager.

Data profiling is enabled by default when you click Add data. Data profiling does the following:

  • Recommends data associations.
  • Auto-qualifies common fields between tables. This adds a unique prefix based on table name.
  • Maps date and time fields to autoCalendar.

Tables are not associated on common field names automatically. You can associate tables in the Associations view.

Managing data associations


If you want to load the data directly into your app, click ¥ and then disable data profiling.

When you add data with data profiling disabled, all existing data from data sources will be reloaded when you add the data. Tables will be associated on common field names automatically. Date and time fields will not be created.

Data load editor

To load data with the Data load editor, click Insert script once you are finished selecting the data. A load script is inserted into the script editor of the Data load editor. You can continue to edit the script in the script editor or you can click Load data to run the data load script.

Storing data from your Qlik Sense app in Google Drive

Using the Data load editor, you can store table data into your Google Drive repository.

Once you have loaded data into your Qlik Sense app, you can store your table data in Google Drive, by creating a new load script or editing the existing script. Using the SELECT command, specify a list of fields to be included in the upload, and then write a Store command to set the file path in Google Drive. Click Load data to run the data load script, and Qlik Sense will complete the upload process.

Data can be stored in the following formats:

  • .qvd
  • .csv
  • .txt

See the Store syntax for more detailed scripting instructions and examples.

Reference - Google Drive documentation

You can refer to the Google Drive API documentation to learn more about the requirements and restrictions imposed by the Google Drive API.

Google Drive API Introduction

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