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flash_database_tools.py
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flash_database_tools.py
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# Recidiviz - a data platform for criminal justice reform
# Copyright (C) 2021 Recidiviz, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# =============================================================================
"""Utilities for flash database checklist """
from typing import Iterator
from google.cloud import bigquery
from recidiviz.big_query.big_query_address import BigQueryAddress
from recidiviz.big_query.big_query_client import BigQueryClient
from recidiviz.common.constants.states import StateCode
from recidiviz.ingest.direct.dataset_config import (
raw_data_pruning_new_raw_data_dataset,
raw_data_pruning_raw_data_diff_results_dataset,
raw_tables_dataset_for_region,
)
from recidiviz.ingest.direct.types.direct_ingest_instance import DirectIngestInstance
def copy_raw_data_between_instances(
state_code: StateCode,
ingest_instance_source: DirectIngestInstance,
ingest_instance_destination: DirectIngestInstance,
big_query_client: BigQueryClient,
) -> None:
"""Copy raw data to a BQ dataset that is the opposite ingest instance with no expiration date, but does not delete
the source dataset"""
source_raw_dataset_id = raw_tables_dataset_for_region(
state_code=state_code, instance=ingest_instance_source
)
destination_raw_dataset_id = raw_tables_dataset_for_region(
state_code=state_code, instance=ingest_instance_destination
)
# Create raw data dataset, if necessary
big_query_client.create_dataset_if_necessary(dataset_id=destination_raw_dataset_id)
# Copy raw data over to destination
big_query_client.copy_dataset_tables(
source_dataset_id=source_raw_dataset_id,
destination_dataset_id=destination_raw_dataset_id,
overwrite_destination_tables=True,
)
def delete_contents_of_raw_data_tables(
state_code: StateCode,
ingest_instance: DirectIngestInstance,
big_query_client: BigQueryClient,
) -> None:
"""Deletes the contents of each table within the raw data dataset (but does not delete the tables themselves)."""
raw_dataset_id = raw_tables_dataset_for_region(
state_code=state_code, instance=ingest_instance
)
list_of_tables: Iterator[
bigquery.table.TableListItem
] = big_query_client.list_tables(dataset_id=raw_dataset_id)
query_jobs = []
for table in list_of_tables:
table_address = BigQueryAddress(
dataset_id=table.dataset_id, table_id=table.table_id
)
query_job = big_query_client.delete_from_table_async(table_address)
query_jobs.append(query_job)
big_query_client.wait_for_big_query_jobs(query_jobs)
def delete_tables_in_pruning_datasets(
state_code: StateCode,
ingest_instance: DirectIngestInstance,
big_query_client: BigQueryClient,
) -> None:
"""Deletes the tables within the datasets used for raw data pruning."""
new_raw_data_dataset_id = raw_data_pruning_new_raw_data_dataset(
state_code=state_code, instance=ingest_instance
)
diff_results_dataset_id = raw_data_pruning_raw_data_diff_results_dataset(
state_code=state_code, instance=ingest_instance
)
for dataset in [new_raw_data_dataset_id, diff_results_dataset_id]:
list_of_tables: Iterator[
bigquery.table.TableListItem
] = big_query_client.list_tables(dataset_id=dataset)
for table in list_of_tables:
table_address = BigQueryAddress(
dataset_id=table.dataset_id, table_id=table.table_id
)
big_query_client.delete_table(address=table_address, not_found_ok=True)
def copy_raw_data_to_backup(
state_code: StateCode,
ingest_instance: DirectIngestInstance,
big_query_client: BigQueryClient,
) -> None:
"""Copies raw data for a single ingest instance to a backup BQ dataset"""
source_raw_dataset_id = raw_tables_dataset_for_region(
state_code=state_code, instance=ingest_instance
)
big_query_client.backup_dataset_tables_if_dataset_exists(
dataset_id=source_raw_dataset_id
)