datascan/gcloud/spec-files/data-profile-spec.yaml (13 lines of code) (raw):
# Copyright 2023 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.
# [Optional] DataProfileScan related setting. Variable descriptions are provided in https://cloud.google.com/dataplex/docs/reference/rest/v1/DataProfileSpec.
# A datascan can specify only one of data_profile_spec or data_quality_spec, but not both.
data_profile_spec:
# [Optional] The percentage of the records to be selected from the dataset for DataScan.
# If present, this variable will override the variable provided in datascan_defaults.
sampling_percent: 100
# [Optional] A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
# If present, this variable will override the variable provided in datascan_defaults.
row_filter: "station_id > 1000"
# [Optional] The fields to include in data profile. If not specified, all fields at the time of profile scan job execution are included, except for ones listed in excludeFields.
include_fields:
field_names:
- station_id
- council_district
- power_type
# [Optional] The fields to exclude from data profile. If specified, the fields will be excluded from data profile, regardless of includeFields value.
exclude_fields:
field_names:
- number_of_docks
- footprint_length
- property_type
# [Optional] The configuration of BigQuery export post scan action upon job completion.
# post_scan_actions:
# bigquery_export:
# results_table: "//bigquery.googleapis.com/projects/{project_id}/datasets/{dataset_id}/tables/{export_table}"