cloud-foundation-fabric/blueprints/data-solutions/gcs-to-bq-with-least-privil.../outputs.tf

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2.9 KiB
HCL

# 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
#
# https://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.
output "bq_tables" {
description = "Bigquery Tables."
value = module.bigquery-dataset.table_ids
}
output "buckets" {
description = "GCS bucket Cloud KMS crypto keys."
value = {
data = module.gcs-data.name
df-tmp = module.gcs-df-tmp.name
}
}
output "project_id" {
description = "Project id."
value = module.project.project_id
}
output "service_accounts" {
description = "Service account."
value = {
bq = module.service-account-bq.email
df = module.service-account-df.email
orch = module.service-account-orch.email
landing = module.service-account-landing.email
}
}
output "command_01_gcs" {
description = "gcloud command to copy data into the created bucket impersonating the service account."
value = "gsutil -i ${module.service-account-landing.email} cp data-demo/* ${module.gcs-data.url}"
}
output "command_02_dataflow" {
description = "Command to run Dataflow template impersonating the service account."
value = templatefile("${path.module}/templates/dataflow.tftpl", {
sa_orch_email = module.service-account-orch.email
project_id = module.project.project_id
region = var.region
subnet = local.network_subnet_selflink
gcs_df_stg = format("%s/%s", module.gcs-df-tmp.url, "stg")
sa_df_email = module.service-account-df.email
cmek_encryption = var.cmek_encryption
kms_key_df = var.cmek_encryption ? module.kms[0].key_ids.key-df : null
gcs_data = module.gcs-data.url
data_schema_file = format("%s/%s", module.gcs-data.url, "person_schema.json")
data_udf_file = format("%s/%s", module.gcs-data.url, "person_udf.js")
data_file = format("%s/%s", module.gcs-data.url, "person.csv")
bigquery_dataset = module.bigquery-dataset.dataset_id
bigquery_table = module.bigquery-dataset.tables["person"].table_id
gcs_df_tmp = format("%s/%s", module.gcs-df-tmp.url, "tmp")
})
}
output "command_03_bq" {
description = "BigQuery command to query imported data."
value = templatefile("${path.module}/templates/bigquery.tftpl", {
project_id = module.project.project_id
bigquery_dataset = module.bigquery-dataset.dataset_id
bigquery_table = module.bigquery-dataset.tables["person"].table_id
sql_limit = 1000
})
}