Technical Documentation : Connectors : Adding a Google Cloud Storage Connection
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Adding a Google Cloud Storage Connection
Prerequisites
  • In order to establish a connection to Google Cloud Storage, a user with sufficient permissions is required.
  • Zeenea traffic flow towards Google Cloud Storage must be open.
Note: You can find a link to the configuration template in Zeenea Connector Downloads.
Supported Versions
The connector was successfully tested with the cloud-based application.
Installing the Plugin
From version 54 of the scanner, the Google Cloud Storage connector is presented as a plugin.
It can be downloaded here and requires a scanner version 64 or later: Zeenea Connector Downloads.
For more information on how to install a plugin, please refer to the following article: Installing and Configuring Connectors as a Plugin.
Declaring the Connection
Creating and configuring connectors is done through a dedicated configuration file located in the /connections folder of the relevant scanner.
In order to establish a connection with Google Cloud Storage, specifying the following parameters in the dedicated file is required:
Parameter
Expected Value
name
The name that will be displayed to catalog users for this connection
code
Unique identifier of the connection on the Zeenea platform. Once registered on the platform, this code must not be modified or the connection will be considered as new and the old one removed from the scanner.
connector_id
The type of connector to be used for the connection. Here, the value must be GCPCloudStorage and this value must not be modified.
connection.project_id
Project Identifier
connection.json_key
Project JSON access key
Optional parameters for customizing dataset detection
Parameter
Expected Value
inventory.partition
Regex to identify partition folders
inventory.skippedDirectory
Regex on the name of the folders to ignore while keeping the content taken into account. The content will be scanned as if it were at the root of the parent folder. No folder is ignored by default.
inventory.ignoredDirectory
Regex on the name of the folders to ignore: their content will also be ignored. No folder is ignored by default.
inventory.ignoredFile
Regex in the name of the files to ignore. Default value: "\\..* | _.* | .*\\.crc"
inventory.extension.csv
For CSV files detection. Default value: "csv, tsv, csv.gz, tsv.gz, csv.zip, tsv.zip".
inventory.extension.parquet
For Parquet files detection. Default value: parquet.
inventory.extension.avro
For Avro files detection. Default value: avro.
inventory.extension.orc
For Orc files detection. Default value: orc.
inventory.extension.xml
For Xml files detection./ Default value: "xml, xml.gz, xml.zip".
inventory.extension.json
For Json files detection. Default value: "json, json.gz, json.zip".
inventory.csv.header
Used for configuring csv files header detection pattern. Select always to force recognizing the schema on the first line of csv files.

Possible values are: never, always, and only string.
xml.namespace_identification
Used for configuring XML fields identification. Use the value uri except when you need to keep the compatibility with a scanner previous to version 43, in which case it is necessary to use the value legacy (default value).
xml.fields_ordering

Starting from version 67.

Allows ordering the list of retrieved fields.

Possible values are:

  • alphabetical: Fields are ordered alphabetically
  • "", legacy, or unordered: Fields are ordered as they are read.
filter
To filter datasets during the inventory.
User Permissions
In order to collect metadata, the user permissions must allow them to list and read all sources that need to be cataloged.
Rich Filters
Since version 54 of the scanner, the Google Cloud Storage connector benefits from the feature of rich filters in the configuration of the connector. The available keys to filter objects during the inventory are:
  • bucket: name of the bucket
  • name: name of the object
Read more: Filters
Data Extraction
There is a specific set of rules that the connector must follow to rebuild hierarchy and datasets, in order to extract data.
Collected Metadata
Inventory
The inventory collects all data sources that the user can access.
Dataset
A dataset is a data source that has been identified as such, as per the rules of the connector.
  • Name
  • Source Description
  • Technical Data:
    • Bucket: Source bucket
    • File format
    • File location
Field
Dataset field.
  • Name
  • Source Description
  • Type
  • Can be null: Depending on the field settings (ORC and parquet). Default value No.
  • Multivalued: Depending on the field settings (ORC and parquet). Default value No.
  • Primary Key: Not supported. Default value No.
  • Technical Data:
    • Technical Name: Field technical name
    • Native type: Field native type
Object Identification Keys
An identification key is associated with each object in the catalog. In the case of the object being created by a connector, the connector builds it.
More information about how it works can be found here: Identification Keys.
Object
Identification Key
Description
Dataset
code/path/dataset name
- code: Unique identifier of the connection noted in the configuration file
- path: Full path including project id
- dataset name
Field
code/path/dataset name/field name
- code: Unique identifier of the connection noted in the configuration file
- path: Full path including project id
- dataset name
- field name
Last modified date: 11/28/2025