gcloud beta vector-search collections data-objects batch-update

NAME
gcloud beta vector-search collections data-objects batch-update - update a batch of data objects
SYNOPSIS
gcloud beta vector-search collections data-objects batch-update --requests=[dataObject=DATAOBJECT],[updateMask=UPDATEMASK] (--collection=COLLECTION : --location=LOCATION) [GCLOUD_WIDE_FLAG]
DESCRIPTION
(BETA) Update a batch of data objects.
EXAMPLES
To update a batch of data objects in collection my-collection, project my-project and location us-central1, run:
gcloud beta vector-search collections data-objects batch-update --collection=my-collection --location=us-central1 --requests='[{"dataObject":{"name":"projects/my-project/locations/us-central1/collections/my-collection/dataObjects/my-do-b1","data":{"genre":"Thriller"}},"updateMask":"data.genre"},{"dataObject":{"name":"projects/my-project/locations/us-central1/collections/my-collection/dataObjects/my-do-b2","data":{"director":"Different
 Director"}},"updateMask":"data.director"}]' --project=my-project
REQUIRED FLAGS
--requests=[dataObject=DATAOBJECT],[updateMask=UPDATEMASK]
Required, The request message specifying the resources to update. A maximum of 1000 DataObjects can be updated in a batch.
dataObject
The DataObject which replaces the resource on the server.
data
The data of the dataObject.
name
Identifier. The fully qualified resource name of the dataObject.

Format: projects/{project}/locations/{location}/collections/{collection}/dataObjects/{data_object_id} The data_object_id must be 1-63 characters long, and comply with RFC1035.

vectors
The vectors of the dataObject.
KEY
Sets KEY value.
VALUE
Sets VALUE value.
dense
A dense vector.
values
The values of the vector.
sparse
A sparse vector.
indices
The corresponding indices for the values.
values
The values of the vector.
values
The values of the vector.
updateMask
The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
Shorthand Example:
--requests=dataObject={data={…},name=string,vectors={string={dense={values=[float]},sparse={indices=[int],values=[float]},values=[float]}}},updateMask=string --requests=dataObject={data={…},name=string,vectors={string={dense={values=[float]},sparse={indices=[int],values=[float]},values=[float]}}},updateMask=string

JSON Example:

--requests='[{"dataObject": {"data": {…}, "name": "string", "vectors": {"string": {"dense": {"values": [float]}, "sparse": {"indices": [int], "values": [float]}, "values": [float]}}}, "updateMask": "string"}]'

File Example:

--requests=path_to_file.(yaml|json)
Collection resource - The resource name of the Collection to update the DataObjects in. Format: projects/{project}/locations/{location}/collections/{collection}. The parent field in the UpdateDataObjectRequest messages must match this field. The arguments in this group can be used to specify the attributes of this resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways.

To set the project attribute:

  • provide the argument --collection on the command line with a fully specified name;
  • provide the argument --project on the command line;
  • set the property core/project.

This must be specified.

--collection=COLLECTION
ID of the collection or fully qualified identifier for the collection.

To set the collection attribute:

  • provide the argument --collection on the command line.

This flag argument must be specified if any of the other arguments in this group are specified.

--location=LOCATION
The location id of the collection resource.

To set the location attribute:

  • provide the argument --collection on the command line with a fully specified name;
  • provide the argument --location on the command line.
GCLOUD WIDE FLAGS
These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity.

Run $ gcloud help for details.

API REFERENCE
This command uses the vectorsearch/v1beta API. The full documentation for this API can be found at: https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
NOTES
This command is currently in beta and might change without notice.