# Using Google Drive connector in ETL pipeline

The Google drive connector supports the following: 

* CSV files including google sheets.
* Fixed width files including google docs.
* Text files including google docs.

The following examples show how to use the Google Drive connector:

* In example 1, the Google Drive connector is the source, and an entity is a destination.
* In example 2, the Google Drive connector is the destination, and an entity is the source.

#### Prerequisites for the examples <a href="#prerequisites-for-the-examples" id="prerequisites-for-the-examples"></a>

For both the examples below, the following are created:

1. An Entity with the name TEST\_Customers\_Entity with the following fields: (Data has already been added to the entity.)
   1. 1.Customer\_ID as GUID
   2. 2.First\_Name as string
   3. 3.Last\_Name as string
   4. 4.Country as string
2. CSV file on Google Drive with columns to be mapped to the entity:
   1. 1.Customer\_ID
   2. 2.First\_Name
   3. 3.Last\_Name
   4. 4.Country
3. Connection is established through the Google Drive connector.

<br>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.langstack.com/welcome/in-depth-learning/connectors/google-drive-connector/using-google-drive-connector-in-etl-pipeline.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.