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pipeline.yaml
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pipeline.yaml
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# Copyright 2021 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.
---
resources:
- type: bigquery_table
table_id: top_terms
description: "Daily top 25 terms in the United States with score, ranking, time, and designated market area"
time_partitioning:
type: "DAY"
field: "refresh_date"
require_partition_filter: false
schema: |-
[
{
"name": "rank",
"type": "INTEGER"
},
{
"name": "refresh_date",
"type": "DATE"
},
{
"name": "dma_name",
"type": "STRING"
},
{
"name": "dma_id",
"type": "INTEGER"
},
{
"name": "term",
"type": "STRING"
},
{
"name": "week",
"type": "DATE"
},
{
"name": "score",
"type": "INTEGER"
}
]
- type: bigquery_table
table_id: top_rising_terms
description: "Daily top rising terms in the United States with score, ranking, time, and designated market area"
time_partitioning:
type: "DAY"
field: "refresh_date"
require_partition_filter: false
schema: |-
[
{
"name": "rank",
"type": "INTEGER"
},
{
"name": "refresh_date",
"type": "DATE"
},
{
"name": "dma_name",
"type": "STRING"
},
{
"name": "dma_id",
"type": "INTEGER"
},
{
"name": "term",
"type": "STRING"
},
{
"name": "week",
"type": "DATE"
},
{
"name": "score",
"type": "INTEGER"
}
]
dag:
initialize:
dag_id: top_terms
default_args:
owner: "Google"
depends_on_past: False
start_date: '2021-06-01'
max_active_runs: 1
schedule_interval: "@daily"
catchup: False
default_view: graph
tasks:
- operator: "BigQueryToBigQueryOperator"
description: "Task to run a BQ to BQ operation"
args:
task_id: "fetch_and_load_top_n"
source_project_dataset_tables: ["{{ var.json.google_trends.top_n.source_project_dataset_table }}"]
destination_project_dataset_table: "{{ var.json.google_trends.top_n.destination_project_dataset_table }}"
impersonation_chain: "{{ var.json.google_trends.service_account }}"
write_disposition: "WRITE_TRUNCATE"
- operator: "BigQueryToBigQueryOperator"
description: "Task to run a BQ to BQ operation"
args:
task_id: "fetch_and_load_top_rising"
source_project_dataset_tables: ["{{ var.json.google_trends.top_rising.source_project_dataset_table }}"]
destination_project_dataset_table: "{{ var.json.google_trends.top_rising.destination_project_dataset_table }}"
impersonation_chain: "{{ var.json.google_trends.service_account }}"
write_disposition: "WRITE_TRUNCATE"
graph_paths:
- "fetch_and_load_top_n"
- "fetch_and_load_top_rising"