# Google Cloud Storage

## Connectivity Summary

An out of the box connector is available for the Google Cloud Storage (GCS) database. It provides support for crawling database objects, profiling of sample data.

<figure><img src="/files/m9lD1cXqoi1WawcmRbUc" alt=""><figcaption></figcaption></figure>

The connectivity to GCS is via Google Cloud Storage, which is included in the platform.&#x20;

The drivers used by the connector are given below:

> Driver / API: Google Cloud Storage
>
> Version: 1.113.16
>
> Details: <https://mvnrepository.com/artifact/com.google.cloud/google-cloud-storage>
>
> Note: Latest version is 1.117.1

## **Technical Specifications**

The connector capabilities are shown below:

### **Crawling**

| **Supported Objects** | **Remarks**                                                                                                |
| --------------------- | ---------------------------------------------------------------------------------------------------------- |
| Buckets               | While crawling, Buckets / File Folders will be cataloged by default and Buckets will be crawled with tags. |

### **Profiling**

| **Feature**      | **Support**                               |
| ---------------- | ----------------------------------------- |
| File Profiling   | Row count, Column count, View sample data |
| Sample Profiling | Supported                                 |

> By default, the service account provided for the connector will be used for any user operations. If the service account has write privileges, then Insert / Update / Delete operations can be executed.

## **Pre-requisites**

To use the connector, the following need to be available:

* Connection details as specified in the following section should be available.
* An admin / service account
* The minimum privileges required for Crawling and Profiling are:
  * Connection validate
  * Crawl Buckets
  * Catalog Files/ Folders
  * Profile Files / Folders

### **Connection Details**

The following connection settings should be added for connecting to a GCS Server:

* **Database Type:** GCS
* **Connection Name:** Select a Connection name for the GCS database. The name that you specify is a reference name to easily identify your SQL Server database connection in OvalEdge. Example: GCS Server Connection
* **ProjectId:**&#x4D;ost Google Cloud Libraries required ProjectId.\
  Example:ovaledgeserver
* **File Path:** Provide the Path of JSON file service account credentials
* **Filter By Tags:** Buckets are based on the labels. It will crawl only the label buckets which are provided.

Validation occurs when the given projectid and projectid in the JSON file matches correctly.<br>

> Once connectivity is established, additional configurations for [Crawling](https://support.ovaledge.com/understanding-crawler-settings) and [Profiling](https://support.ovaledge.com/understanding-profiling-settings) can be specified.

| **Property**               | **Details**                                                                    |
| -------------------------- | ------------------------------------------------------------------------------ |
| **Crawler configurations** |                                                                                |
| Crawler Options            | File Folders/ Buckets by default enabled                                       |
| Crawler Rules              | Include and exclude regex for File Folders and Buckets only but not for files. |
| **Profile Settings**       |                                                                                |
| Profile Options            | No existence for Profile                                                       |
| Profile Rules              | No Profile rules exits                                                         |

## **Points to note**

1. Whenever application is deployed, we need to check if the system file path has service account credentials.
2. It crawls all File Folders/ Buckets with all the tags associated, when 'No Tag' is selected while creating connection.
3. Supported File Types: CSV, XLS, XLSX, JSON, AVRO, PARQUET, ORC

***

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