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Writes events to one or multiple objects in Google Cloud Storage.

to_google_cloud_storage url:string, [anonymous=bool, max_size=int,
timeout=duration, partition_by=list<field>] {}

The to_google_cloud_storage operator writes events to Google Cloud Storage, automatically opening new objects when a rotation condition triggers. It supports hive-style partitioning through a ** placeholder in the URL and per-partition unique object names through a {uuid} placeholder.

By default, authentication is handled by Google’s Application Default Credentials (ADC) chain, which may read from multiple sources:

  • GOOGLE_APPLICATION_CREDENTIALS environment variable pointing to a service account key file
  • User credentials from gcloud auth application-default login
  • Service account attached to the compute instance (Compute Engine, GKE)
  • Google Cloud SDK credentials

URL identifying the Google Cloud Storage location where data should be written.

The syntax is gs://<bucket-name>/<full-path-to-object>(?<options>). The <options> are query parameters. Per the Arrow documentation, the following options exist:

For GCS, the supported parameters are scheme, endpoint_override, and retry_limit_seconds.

The path portion may contain two placeholders:

  • ** marks the location where hive partition segments are inserted. When present, partition_by must also be set, and vice versa.
  • {uuid} expands to a fresh UUIDv7 for every object. This is required when partitioning or when rotation can produce multiple objects, so that rotated or per-partition objects do not overwrite each other.

Use anonymous credentials instead of any configured authentication. This only works for publicly writable buckets.

Defaults to false.

Rotates to a new file after the current file exceeds this size in bytes. Because rotation only fires after the threshold is crossed, individual files may be slightly larger than max_size.

Defaults to 100M.

Rotates to a new file after the current file has been open for this duration. Rotation is measured from the time the file was first opened.

Defaults to 5min.

A list of fields used to partition events into separate files. For every distinct combination of partition-field values, a separate file (or group of rotated files) is written. The URL must contain a ** placeholder, which is replaced by the hive-style path field1=value1/field2=value2/….

Unlike to_hive, the partitioning fields are not stripped from the written events — they remain in each record.

Pipeline that transforms the incoming events into the byte stream that is written to each file. The pipeline must return bytes, so it must end with a writer such as write_ndjson, write_parquet, or write_csv, optionally followed by a compressor such as compress_gzip.

The subpipeline runs once per output file. When rotation or partitioning produces a new file, a new instance of the subpipeline is spawned for it.

to_google_cloud_storage "gs://my-bucket/events/out_{uuid}.json" {
write_ndjson
}

Partition events into Parquet objects by date

Section titled “Partition events into Parquet objects by date”
to_google_cloud_storage "gs://my-bucket/events/**/data_{uuid}.parquet",
partition_by=[year, month] {
write_parquet
}
to_google_cloud_storage "gs://my-bucket/logs/events_{uuid}.json.gz",
max_size=100M {
write_ndjson
compress_gzip
}

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