cloud-foundation-fabric/tests/modules/dataplex_datascan/datascan_test_inputs.tfvars

116 lines
3.0 KiB
HCL

# 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.
name = "datascan"
prefix = "test"
project_id = "test-project"
region = "us-central1"
labels = {
billing_id = "a"
}
iam = {
"roles/dataplex.dataScanViewer" = [
"user:user@example.com"
],
"roles/dataplex.dataScanEditor" = [
"user:user@example.com",
]
}
group_iam = {
"user-group@example.com" = [
"roles/dataplex.dataScanEditor"
]
}
execution_schedule = "TZ=America/New_York 1 1 * * *"
data = {
resource = "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/austin_bikeshare/tables/bikeshare_stations"
}
description = "Custom description."
incremental_field = "modified_date"
data_quality_spec = {
sampling_percent = 100
row_filter = "station_id > 1000"
rules = [
{
dimension = "VALIDITY"
non_null_expectation = {}
column = "address"
threshold = 0.99
},
{
column = "council_district"
dimension = "VALIDITY"
ignore_null = true
threshold = 0.9
range_expectation = {
min_value = 1
max_value = 10
strict_min_enabled = true
strict_max_enabled = false
}
},
{
column = "council_district"
dimension = "VALIDITY"
threshold = 0.8
range_expectation = {
min_value = 3
}
},
{
column = "power_type"
dimension = "VALIDITY"
ignore_null = false
regex_expectation = {
regex = ".*solar.*"
}
},
{
column = "property_type"
dimension = "VALIDITY"
ignore_null = false
set_expectation = {
values = ["sidewalk", "parkland"]
}
},
{
column = "address"
dimension = "UNIQUENESS"
uniqueness_expectation = {}
},
{
column = "number_of_docks"
dimension = "VALIDITY"
statistic_range_expectation = {
statistic = "MEAN"
min_value = 5
max_value = 15
strict_min_enabled = true
strict_max_enabled = true
}
},
{
column = "footprint_length"
dimension = "VALIDITY"
row_condition_expectation = {
sql_expression = "footprint_length > 0 AND footprint_length <= 10"
}
},
{
dimension = "VALIDITY"
table_condition_expectation = {
sql_expression = "COUNT(*) > 0"
}
}
]
}