datasets/cloud_datasets/infra/pdp_extract_tabular_metadata_pipeline.tf (227 lines of code) (raw):
/**
* Copyright 2022 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.
*/
resource "google_bigquery_table" "_cloud_datasets_tabular_datasets" {
project = var.project_id
dataset_id = "_cloud_datasets"
table_id = "tabular_datasets"
description = "This table contains all the metadata for all the tabular datasets in the Cloud Datasets program"
schema = <<EOF
[
{
"name": "extracted_at",
"description": "The date and time when this row was extracted from BigQuery",
"type": "TIMESTAMP"
},
{
"name": "created_at",
"description": "The date and time when the dataset was created",
"type": "TIMESTAMP"
},
{
"name": "modified_at",
"description": "The date and time when the dataset was last modified",
"type": "TIMESTAMP"
},
{
"name": "project_id",
"description": "The GCP project where the public dataset is stored",
"type": "STRING"
},
{
"name": "dataset_id",
"description": "The BigQuery dataset ID",
"type": "STRING"
},
{
"name": "description",
"description": "The dataset description",
"type": "STRING"
},
{
"name": "num_tables",
"description": "Number of tables contained in this dataset",
"type": "INTEGER"
},
{
"name": "is_public",
"description": "Whether or not the dataset is public to all users",
"type": "BOOLEAN"
}
]
EOF
depends_on = [
google_bigquery_dataset._cloud_datasets
]
}
output "bigquery_table-_cloud_datasets_tabular_datasets-table_id" {
value = google_bigquery_table._cloud_datasets_tabular_datasets.table_id
}
output "bigquery_table-_cloud_datasets_tabular_datasets-id" {
value = google_bigquery_table._cloud_datasets_tabular_datasets.id
}
resource "google_bigquery_table" "_cloud_datasets_tables" {
project = var.project_id
dataset_id = "_cloud_datasets"
table_id = "tables"
description = "This table contains all the metadata for all the tables in the Cloud Datasets program"
schema = <<EOF
[
{
"name": "extracted_at",
"description": "The date and time when this row was extracted from BigQuery",
"type": "TIMESTAMP"
},
{
"name": "created_at",
"description": "The date and time when the dataset was created",
"type": "TIMESTAMP"
},
{
"name": "modified_at",
"description": "The date and time when the dataset was last modified",
"type": "TIMESTAMP"
},
{
"name": "project_id",
"description": "The GCP project where the public dataset is stored",
"type": "STRING"
},
{
"name": "dataset_id",
"description": "The BigQuery dataset ID",
"type": "STRING"
},
{
"name": "table_id",
"description": "The BigQuery table ID",
"type": "STRING"
},
{
"name": "description",
"description": "The dataset description",
"type": "STRING"
},
{
"name": "type",
"description": "The type of the table",
"type": "STRING"
},
{
"name": "num_bytes",
"description": "The number of bytes the table allocated on disk",
"type": "INTEGER"
},
{
"name": "num_rows",
"description": "The number of rows in the table",
"type": "INTEGER"
},
{
"name": "num_columns",
"description": "The number of columns in the table",
"type": "INTEGER"
},
{
"name": "described_columns",
"description": "The number of columns in the table with a description",
"type": "INTEGER"
}
]
EOF
depends_on = [
google_bigquery_dataset._cloud_datasets
]
}
output "bigquery_table-_cloud_datasets_tables-table_id" {
value = google_bigquery_table._cloud_datasets_tables.table_id
}
output "bigquery_table-_cloud_datasets_tables-id" {
value = google_bigquery_table._cloud_datasets_tables.id
}
resource "google_bigquery_table" "_cloud_datasets_tables_fields" {
project = var.project_id
dataset_id = "_cloud_datasets"
table_id = "tables_fields"
description = "This table contains all the metadata for all the field in all the tables in the Cloud Datasets program"
schema = <<EOF
[
{
"name": "extracted_at",
"description": "The date and time when this row was extracted from BigQuery",
"type": "TIMESTAMP"
},
{
"name": "project_id",
"description": "The GCP project where the public dataset is stored",
"type": "STRING"
},
{
"name": "dataset_id",
"description": "The BigQuery dataset ID",
"type": "STRING"
},
{
"name": "table_id",
"description": "The BigQuery table ID",
"type": "STRING"
},
{
"name": "name",
"description": "The name of the field",
"type": "STRING"
},
{
"name": "description",
"description": "The description for the field",
"type": "STRING"
},
{
"name": "field_type",
"description": "The type of the field",
"type": "STRING"
},
{
"name": "mode",
"description": "The mode of the field",
"type": "STRING"
},
{
"name": "precision",
"description": "Precision for the NUMERIC field",
"type": "INTEGER"
},
{
"name": "scale",
"description": "Scale for the NUMERIC field",
"type": "INTEGER"
},
{
"name": "max_length",
"description": "Maximum length for the STRING or BYTES field",
"type": "INTEGER"
}
]
EOF
depends_on = [
google_bigquery_dataset._cloud_datasets
]
}
output "bigquery_table-_cloud_datasets_tables_fields-table_id" {
value = google_bigquery_table._cloud_datasets_tables_fields.table_id
}
output "bigquery_table-_cloud_datasets_tables_fields-id" {
value = google_bigquery_table._cloud_datasets_tables_fields.id
}