Docs Cloud Redpanda Connect Components Inputs gcp_cloud_storage gcp_cloud_storage Type: InputCacheOutput Available in: Cloud, Self-Managed Downloads objects within a Google Cloud Storage bucket, optionally filtered by a prefix. Common Advanced # Common config fields, showing default values input: label: "" gcp_cloud_storage: bucket: "" # No default (required) prefix: "" credentials_json: "" # No default (optional) scanner: to_the_end: {} # All config fields, showing default values input: label: "" gcp_cloud_storage: bucket: "" # No default (required) prefix: "" credentials_json: "" # No default (optional) scanner: to_the_end: {} delete_objects: false Metadata This input adds the following metadata fields to each message: - gcs_key - gcs_bucket - gcs_last_modified - gcs_last_modified_unix - gcs_content_type - gcs_content_encoding - All user defined metadata You can access these metadata fields using function interpolation. Credentials By default Redpanda Connect will use a shared credentials file when connecting to GCP services. You can find out more in Google Cloud Platform. Fields bucket The name of the bucket from which to download objects. Type: string prefix Optional path prefix, if set only objects with the prefix are consumed. Type: string Default: "" credentials_json Optional field to set Google Service Account Credentials JSON. This field contains sensitive information. Review your cluster security before adding it to your configuration. Type: string Default: "" scanner The scanner by which the stream of bytes consumed will be broken out into individual messages. Scanners are useful for processing large sources of data without holding the entirety of it within memory. For example, the csv scanner allows you to process individual CSV rows without loading the entire CSV file in memory at once. Type: scanner Default: {"to_the_end":{}} delete_objects Whether to delete downloaded objects from the bucket once they are processed. Type: bool Default: false Back to top × Simple online edits For simple changes, such as fixing a typo, you can edit the content directly on GitHub. Edit on GitHub Or, open an issue to let us know about something that you want us to change. Open an issue Contribution guide For extensive content updates, or if you prefer to work locally, read our contribution guide . Was this helpful? thumb_up thumb_down group Ask in the community mail Share your feedback group_add Make a contribution gcp_bigquery_select gcp_pubsub