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}"