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update_entry.py
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# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# [START dataplex_update_entry]
from google.cloud import dataplex_v1
from google.protobuf import struct_pb2
def update_entry(
project_id: str, location: str, entry_group_id: str, entry_id: str
) -> dataplex_v1.Entry:
"""Method to update Entry located in project_id, location, entry_group_id and with entry_id"""
# Initialize client that will be used to send requests across threads. This
# client only needs to be created once, and can be reused for multiple requests.
# After completing all of your requests, call the "__exit__()" method to safely
# clean up any remaining background resources. Alternatively, use the client as
# a context manager.
with dataplex_v1.CatalogServiceClient() as client:
# The resource name of the Entry
name = f"projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id}"
entry = dataplex_v1.Entry(
name=name,
entry_source=dataplex_v1.EntrySource(
description="updated description of the entry"
),
aspects={
"dataplex-types.global.generic": dataplex_v1.Aspect(
aspect_type="projects/dataplex-types/locations/global/aspectTypes/generic",
data=struct_pb2.Struct(
fields={
# "Generic" Aspect Type have fields called "type" and "system.
# The values below are a sample of possible options.
"type": struct_pb2.Value(
string_value="updated example value"
),
"system": struct_pb2.Value(
string_value="updated example system"
),
}
),
)
},
)
# Update mask specifies which fields will be updated.
# For more information on update masks, see: https://google.aip.dev/161
update_mask = {"paths": ["aspects", "entry_source.description"]}
return client.update_entry(entry=entry, update_mask=update_mask)
if __name__ == "__main__":
# TODO(developer): Replace these variables before running the sample.
project_id = "MY_PROJECT_ID"
# Available locations: https://cloud.google.com/dataplex/docs/locations
location = "MY_LOCATION"
entry_group_id = "MY_ENTRY_GROUP_ID"
entry_id = "MY_ENTRY_ID"
updated_entry = update_entry(project_id, location, entry_group_id, entry_id)
print(f"Successfully updated entry: {updated_entry.name}")
# [END dataplex_update_entry]