Set up prebuilt reports in BigQuery for vaulted backups

This page explains how to set up and view prebuilt reports in BigQuery for resources that are protected using backup plans.

To set up reports, you need to do a one-time activity of creating a log sink to stream logging data into BigQuery and then execute the prebuilt script. If you want to set up and view prebuilt reports in BigQuery for the resources that are protected using the backup template in the management console, see Set up prebuilt reports in BigQuery.

Required IAM role

The following IAM permissions are required to view prebuilt reports in BigQuery for vaulted backups. Learn how to grant an IAM role.

Role	When to grant the role
Logs Configuration Writer (roles/logging.configWriter) or Logging Admin (roles/logging.admin) and BigQuery Data Editor (roles/bigquery.dataEditor)	To create a sink and BigQuery dataset from the Google Cloud console.
Owner (roles/owner)	To create a sink and BigQuery dataset from the Google Cloud CLI.
BigQuery Admin (bigquery.admin)	To write custom queries or download queries.

Create a sink and route logs to BigQuery for vaulted backups

BigQuery stores only the logs that are generated after a log sink is created. The logs that are generated before creating a log sink are not visible in BigQuery. You can create the log sink from the Google Cloud console or Google Cloud CLI.

To create sink and route logs in BigQuery for vaulted backups, do the following:

Console

1. In the Google Cloud console, go to the Log Router page:

   Go to Log Router page

2. Select an existing Google Cloud project.
3. Click Create sink.
4. In the Sink details panel, enter the following fields:
   1. Sink name: enter the sink name as bdr_report_sink. You must use the sink name bdr_report_sink for the identification of Backup and DR reports from other sinks.
   2. Sink description: Describe the purpose or use case for the sink.

5. In the Sink destination panel, do the following:

   1. In the Select sink service menu, select the BigQuery dataset sink service.
   2. In the Select BigQuery dataset, select Create new BigQuery dataset.
   3. On the Create dataset page, do the following:
      1. For Dataset ID, enter the dataset name as BackupandDR_reports to identify from other datasets. Don't change the dataset name from BackupandDR_reports.
      2. For Location type, choose a geographic location for the dataset. After a dataset is created, the location can't be changed.
      3. Optional: If you want tables in this dataset to expire, select Enable table expiration, then specify the Default maximum table age in days.
      4. Click Create dataset.

6. In the Choose logs to include in sink panel, do the following:

   1. In the Build inclusion filter field, enter the following filter expression that matches the log entries you want to include.

       logName=~"projects/PROJECT_ID/logs/backupdr.googleapis.com%2Fgcb_*"
      

   2. To verify you entered the correct filter, select Preview logs. This opens the Logs Explorer in a new tab with the filter prepopulated.

7. Optional: In the Choose logs to filter out of sink panel, do the following:

   1. In the Exclusion filter name field, enter a name.

   2. In the Build an exclusion filter field, enter a filter expression that matches the log entries you want to exclude. You can also use the sample function to select a portion of the log entries to exclude.

      Note: If you want your exclusion filter to be disabled when the sink is created, then select Disable after you enter your filter expression. You can update the sink later to enable the exclusion filter.

8. Select Create sink.

   You can see the dataset in the BigQuery Studio.

gcloud

1. Go to Activate cloud shell and click Open editor.
2. Click the icon, select File, and then select New text file.

3. Copy and paste the following script.

      #!/bin/bash
       echo "This script will set up a log sink for BackupDR reports to be available in BigQuery"
   
       # Get the default project ID
       DEFAULT_PROJECT_ID=$(gcloud config get-value project)
       read -p "Enter Project ID (default: $DEFAULT_PROJECT_ID, press Enter to continue):" PROJECT_ID
   
       # Use default if no input is provided
       if [ -z "$PROJECT_ID" ]; then
         PROJECT_ID=$DEFAULT_PROJECT_ID
       fi
         # Set the project ID
       result=$(gcloud config set project $PROJECT_ID)
       if [ $? -ne 0 ]; then
         echo "Error setting the project to $PROJECT_ID"
         exit 1
       fi
         # --- Check if BigQuery API is already enabled, enable if not ---
       echo "Checking if BigQuery API is enabled..."
       if gcloud services list | grep "bigquery.googleapis.com" >/dev/null; then
         echo "BigQuery API is already enabled for $PROJECT_ID"
       else
         echo "For logs to be available in BigQuery, we need to enable BigQuery service in the project if not done already. This might mean additional costs incurred. Please check the associated costs before proceeding."
         read -p "Do you want to continue(Y/N)?" continue
         if [ "$continue" = "y" ] || [ "$continue" = "Y" ]; then
           echo "Enabling BigQuery API..."
           result=$(gcloud services enable bigquery.googleapis.com --project $PROJECT_ID)
           if [ $? -eq 0 ]; then
             echo "Successfully enabled BigQuery api for $PROJECT_ID"
           else
             echo "Error in setting up the BigQuery api for the project. $result"
             exit 1
           fi
         else
           exit 0
         fi
       fi
         # --- Check if BigQuery data set already exists, create if not ---
       echo "Checking if BigQuery data set exists..."
       if bq ls | grep "bdr_reports" >/dev/null; then
         echo "Dataset bdr_reports already exists for $PROJECT_ID"
       else
         echo "Creating bigQuery dataset bdr_reports..."
         # --- Get dataset location from user (default: US) ---
         read -p "Enter dataset location (default: US, press Enter to use): " DATASET_LOCATION
         if [ -z "$DATASET_LOCATION" ]; then
           DATASET_LOCATION="US"
         fi
         # --- Get table expiration in days from user (default: no expiration) ---
         read -p "Enter default table expiration in days (default: no expiration, press Enter to skip): " TABLE_EXPIRATION_DAYS
   
         # Calculate table expiration in seconds if provided
         if [ -n "$TABLE_EXPIRATION_DAYS" ]; then
           TABLE_EXPIRATION_SECONDS=$((TABLE_EXPIRATION_DAYS * 24 * 60 * 60))
           EXPIRATION_FLAG="--default_table_expiration $TABLE_EXPIRATION_SECONDS"
         else
           EXPIRATION_FLAG=""
         fi
         result=$(bq --location=$DATASET_LOCATION mk $EXPIRATION_FLAG bdr_reports)
         if [ $? -eq 0 ]; then
           echo "Created a BigQuery dataset bdr_reports successfully."
         else
           echo ""
           echo "ERROR : Failed to create the BigQuery dataset."
           echo $result
           exit 1
         fi
       fi
         # --- Check if Log Sink already exists, create if not ---
       echo "Checking if Log Sink exists..."
       if gcloud logging sinks list | grep "bdr_report_sink" >/dev/null; then
         echo "Log Sink bdr_reports_sink already exists for $PROJECT_ID"
       else
         log_filter="projects/$PROJECT_ID/logs/backupdr.googleapis.com%2Fbdr_*"
         echo "Creating log sink bdr_reports..."
         result=$(gcloud logging sinks create bdr_report_sink bigquery.googleapis.com/projects/$PROJECT_ID/datasets/bdr_reports --log-filter="logName=~\"$log_filter\"")
         if [ $? -eq 0 ]; then
           echo "Created a logsink bdr_reports_sink successfully."
         else
           echo ""
           echo "ERROR : Failed to create logsink."
           exit 1
         fi
       fi
   
       # --- Add IAM Policy binding for Cloud logging service account to write logs to BigQuery ---
       result=$(gcloud projects add-iam-policy-binding $(gcloud projects describe $PROJECT_ID --format="value(projectNumber)") --member=serviceAccount:service-$(gcloud projects describe $PROJECT_ID --format="value(projectNumber)")@gcp-sa-logging.iam.gserviceaccount.com --role=roles/bigquery.dataEditor --condition=None)
       if [ $? -eq 0 ]; then
         echo "Added permission for cloud logging to write to BigQuery datasets"
       else
         echo ""
         echo "ERROR : Failed to add permissions for cloud logging to write to BigQuery datasets. Please make sure that you have Owner access rights in order to be able to proceed."
         exit 1
       fi
   
       echo "Setup complete. The logs for the project $PROJECT_ID will now start flowing to bigquery."
       exit 0
   
     exit 0
   

4. Save the file with a name with a Bash file extension, for example, script.sh.

5. Run the command bash using the file you just created. For example, bash script.sh.

   You can see the created dataset in the BigQuery Studio.

Note: Typically, log entries are visible in BigQuery within one minute. However, when a sink is created, it might take up to sixty minutes before the log data is available in BigQuery.

Set up prebuilt reports for vaulted backups

You can set up prebuilt reports by executing the following script within the dataset where the logs are being routed through the log sink.

The script adds the following prebuilt reports:

• Backup and restore job reports for vaulted backups
• Protected resource reports for vaulted backups
• Backup vault consumption reports for vaulted backups
• Daily schedule compliance reports for vaulted backups

Note: Depending on the log category, logs are generated at a frequency of zero to eight hours. To ensure successful execution of the script, it is recommended that you run the script at least eight hours after creating the sink.

To set up prebuilt reports in BigQuery for vaulted backups, do the following:

gcloud

1. Go to Activate cloud shell and click Open editor.
2. Click the icon, select File, and then select New text file.

3. Copy and paste the following prebuilt reports script into the Google Cloud CLI.

     #!/bin/bash
   
     # Default config values. Modify only if required.
     DATASET="bdr_reports"
     JOBS_TABLE_PREFIX="backupdr_googleapis_com_bdr_backup_restore_jobs_"
     PROTECTED_RESOURCE_TABLE_PREFIX="backupdr_googleapis_com_bdr_protected_resource_"
     BACKUP_VAULT_TABLE_PREFIX="backupdr_googleapis_com_bdr_backup_vault_details_"
     VIEW_FROM_DATE_SUFFIX="20000101"  #Use an old enough date so that the views should contain all the data.
   
     # Function to check if a routine exists
     routine_exists() {
     local routine_name="$1"
     bq --project_id $PROJECT_ID ls --routines "$DATASET" | grep "$routine_name" >/dev/null
     }
   
     # Function to check if a view exists
     view_exists() {
     local view_name="$1"
     check_view=$(bq --project_id $PROJECT_ID query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from $DATASET.INFORMATION_SCHEMA.VIEWS WHERE table_name='$view_name'" | tail -n +2 | tr -d ' ')
     if [ $check_view == 'true' ]; then
       return 0
     fi
     return -1
     }
   
     # Function to create a routine
     create_routine() {
     local routine_name="$1"
     local routine_type="$2"
     local definition_body="$3"
       if routine_exists "$routine_name"; then
       echo "Routine $routine_name already exists. Skipping."
       return 0
     fi
     # Construct the routine body JSON
     local routine_body='
       {
       "definitionBody": "'"$definition_body"'",
       "routineType": "'"$routine_type"'",
       "routineReference": {
           "projectId": "'"$PROJECT_ID"'",
           "datasetId": "'"$DATASET"'",
           "routineId": "'"$routine_name"'"
       },
       "arguments": [
           {
           "name": "FROM_DATE",
           "dataType": {
               "typeKind": "STRING"
           }
           },
           {
           "name": "TO_DATE",
           "dataType": {
               "typeKind": "STRING"
           }
           }
       ]
       }
     '
   
     # Construct the curl command with the routine body
     local curl_command=(
       curl -s --request POST \
         "https://bigquery.googleapis.com/bigquery/v2/projects/$PROJECT_ID/datasets/$DATASET/routines" \
         --header "Authorization: Bearer $ACCESS_TOKEN" \
         --header 'Accept: application/json' \
         --header 'Content-Type: application/json' \
         --data "$routine_body" --compressed
     )
       # Execute the curl command and capture the result
     local result=$( "${curl_command[@]}" )
   
     # Check if creation was successful
     if echo "$result" | grep '"etag":' > /dev/null; then
       echo "Routine '$routine_name' created successfully."
     else
       echo "$result"
       exit -1
     fi
     }
   
     # Function to create a view
     create_view() {
     local view_name="$1"
     local parent_routine_name="$1"
     local view_query='
       SELECT * FROM `'$PROJECT_ID'.'$DATASET'.'$parent_routine_name'`("'$VIEW_FROM_DATE_SUFFIX'", FORMAT_DATE("%Y%m%d", CURRENT_DATE()));
     '
   
     # Check if view exists.
     if routine_exists "$parent_routine_name"; then
       view_exists "$view_name"
       if [ $? -eq 0 ]; then
         echo "View $view_name already exists. Skipping."
         return 0
       fi
       # Create the view if it does not exist
       bq --project_id $PROJECT_ID mk --use_legacy_sql=false --expiration 0 --view "$view_query" $DATASET.$view_name
     else
       echo "Routine $parent_routine_name is not present. Skipping the creation of $view_name."
       return -1
     fi
     }
   
     # Create all jobs related routines and views
     create_jobs_routines_and_views() {
     # Backup Restore Jobs
     create_routine "backup_restore_jobs" "TABLE_VALUED_FUNCTION" \
     '
     WITH
       dat AS (
       SELECT
         *,
         LAG(insertId, 1, '"'"'placeholder_id'"'"') OVER (ORDER BY timestamp, insertId) = insertId AS `insert_id_is_same`,
         LAG(timestamp, 1, TIMESTAMP_SECONDS(1)) OVER (ORDER BY timestamp, insertId) = timestamp AS `timestamp_is_same`
       FROM
         `'$PROJECT_ID'.'$DATASET'.'$JOBS_TABLE_PREFIX'*`
       WHERE
         _TABLE_SUFFIX >= FROM_DATE
         AND _TABLE_SUFFIX <= TO_DATE
         AND jsonpayload_v1_bdrbackuprestorejoblog.resourceType IN ('"'"'Compute Engine'"'"') ),
       deduped AS (
       SELECT
         * EXCEPT (insert_id_is_same,
           timestamp_is_same),
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).endtime) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).endtime), NULL) AS job_end_time,
   
       FROM
         dat
       WHERE
         NOT (insert_id_is_same
           AND timestamp_is_same) ),
       latest AS (
       SELECT
         jsonpayload_v1_bdrbackuprestorejoblog.jobId AS job_id,
         MAX(CASE jsonpayload_v1_bdrbackuprestorejoblog.jobStatus
             WHEN '"'"'RUNNING'"'"' THEN 1
             WHEN '"'"'SKIPPED'"'"' THEN 2
             WHEN '"'"'SUCCESSFUL'"'"' THEN 3
             WHEN '"'"'FAILED'"'"' THEN 4
         END
           ) AS final_status_code
       FROM
         deduped
       GROUP BY
         jsonpayload_v1_bdrbackuprestorejoblog.jobid),
       filled_latest AS (
       SELECT
         jsonpayload_v1_bdrbackuprestorejoblog.jobId AS job_id,
         jsonpayload_v1_bdrbackuprestorejoblog.jobStatus AS final_status,
         PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', jsonpayload_v1_bdrbackuprestorejoblog.startTime) AS parsed_start_time,
         PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', deduped.job_end_time) AS parsed_end_time,
         TIMESTAMP_DIFF(PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', deduped.job_end_time), PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', jsonpayload_v1_bdrbackuprestorejoblog.startTime), HOUR) AS duration_hours,
         MOD(TIMESTAMP_DIFF(PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', deduped.job_end_time), PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', jsonpayload_v1_bdrbackuprestorejoblog.startTime), MINUTE), 60) AS duration_minutes,
         MOD(TIMESTAMP_DIFF(PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', deduped.job_end_time), PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', jsonpayload_v1_bdrbackuprestorejoblog.startTime), SECOND), 60) AS duration_seconds,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).restoreresourcename) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).restoreresourcename), NULL) AS restore_resource_name,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).errortype) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).errortype), NULL) AS error_type,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).errormessage) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).errormessage), NULL) AS error_message,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).backupname) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).backupname), NULL) AS backup_name,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).backupplanname) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).backupplanname), NULL) AS backup_plan_name,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).backuprule) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).backuprule), NULL) AS backup_rule,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).backupconsistencytime) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).backupconsistencytime), NULL) AS backup_consistency_time,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).incrementalbackupsizegib) = '"'"'number'"'"', FLOAT64(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).incrementalbackupsizegib), NULL) AS incremental_backup_size_in_gib,
       IF
         (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).errorcode) = '"'"'number'"'"', FLOAT64(TO_JSON(jsonpayload_v1_bdrbackuprestorejoblog).errorcode), NULL) AS error_code,
   
       FROM
         deduped
       JOIN
         latest
       ON
         latest.job_id = jsonpayload_v1_bdrbackuprestorejoblog.jobId
         AND jsonpayload_v1_bdrbackuprestorejoblog.jobStatus = (
           CASE final_status_code
             WHEN 1 THEN '"'"'RUNNING'"'"'
             WHEN 2 THEN '"'"'SKIPPED'"'"'
             WHEN 3 THEN '"'"'SUCCESSFUL'"'"'
             WHEN 4 THEN '"'"'FAILED'"'"'
         END
           ) )
     SELECT
       FORMAT_TIMESTAMP('"'"'%m%d'"'"', filled_latest.parsed_start_time, '"'"'UTC'"'"') || '"'"'-'"'"' || ARRAY_TO_STRING(REGEXP_EXTRACT_ALL(jsonpayload_v1_bdrbackuprestorejoblog.resourceType, '"'"'\\\\b[A-Z]'"'"'), '"'"''"'"') || '"'"'-'"'"' || (CASE jsonpayload_v1_bdrbackuprestorejoblog.jobCategory
           WHEN '"'"'ON_DEMAND_BACKUP'"'"' THEN '"'"'B'"'"'
           WHEN '"'"'SCHEDULED_BACKUP'"'"' THEN '"'"'B'"'"'
           WHEN '"'"'RESTORE'"'"' THEN '"'"'R'"'"'
       END
         ) || '"'"'-'"'"' || REPLACE(FORMAT_TIMESTAMP('"'"'%H%M%E3S'"'"', filled_latest.parsed_start_time, '"'"'UTC'"'"'), '"'"'.'"'"', '"'"''"'"') AS `job_name`,
       REGEXP_EXTRACT(jsonpayload_v1_bdrbackuprestorejoblog.sourceResourceName, '"'"'([^/]+)$'"'"') AS `resource_name`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrbackuprestorejoblog.sourceResourceName, '"'"'/'"'"')) < 2, NULL, SPLIT(jsonpayload_v1_bdrbackuprestorejoblog.sourceResourceName,'"'"'/'"'"')[1]) AS `resource_project_name`,
       jsonpayload_v1_bdrbackuprestorejoblog.jobStatus AS `job_status`,
       jsonpayload_v1_bdrbackuprestorejoblog.jobCategory AS `job_category`,
       Filled_latest.error_type AS `error_type`,
       CAST(filled_latest.error_code AS INT64) AS `error_code`,
       filled_latest.error_message AS `error_message`,
       parsed_start_time AS `job_start_time`,
       parsed_end_time AS `job_end_time`,
     IF
       (duration_hours > 0, duration_hours || '"'"'h '"'"', '"'"''"'"') ||
     IF
       (duration_minutes > 0, duration_minutes || '"'"'m '"'"', '"'"''"'"') ||
     IF
       (duration_seconds > 0, duration_seconds || '"'"'s '"'"', '"'"''"'"') AS `duration`,
       ROUND(filled_latest.incremental_backup_size_in_gib, 2) AS `incremental_backup_size_in_gib`,
       PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', filled_latest.backup_consistency_time) AS `backup_consistency_time`,
     IF
       (ARRAY_LENGTH(SPLIT(filled_latest.backup_plan_name, '"'"'/'"'"')) < 6, NULL, SPLIT(filled_latest.backup_plan_name,'"'"'/'"'"')[5]) AS `backup_plan_name`,
       filled_latest.backup_rule AS `backup_rule`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrbackuprestorejoblog.backupVaultName, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrbackuprestorejoblog.backupVaultName,'"'"'/'"'"')[5]) AS `backup_vault_name`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrbackuprestorejoblog.backupVaultName, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrbackuprestorejoblog.backupVaultName,'"'"'/'"'"')[1]) AS `backup_vault_project_name`,
     IF
       (ARRAY_LENGTH(SPLIT(filled_latest.backup_name, '"'"'/'"'"')) < 10, NULL, SPLIT(filled_latest.backup_name,'"'"'/'"'"')[9]) AS `backup_name`,
     IF
       (ARRAY_LENGTH(SPLIT(filled_latest.restore_resource_name, '"'"'/'"'"')) < 6, NULL, SPLIT(filled_latest.restore_resource_name,'"'"'/'"'"')[1]) AS `restore_project_name`,
     IF
       (ARRAY_LENGTH(SPLIT(filled_latest.restore_resource_name, '"'"'/'"'"')) < 6, NULL, SPLIT(filled_latest.restore_resource_name,'"'"'/'"'"')[5]) AS `restore_resource_name`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrbackuprestorejoblog.sourceResourceName, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrbackuprestorejoblog.sourceResourceName,'"'"'/'"'"')[3]) AS `resource_location`,
       jsonpayload_v1_bdrbackuprestorejoblog.resourceType AS `resource_type`,
       jsonpayload_v1_bdrbackuprestorejoblog.sourceResourceId AS `resource_id`,
       jsonpayload_v1_bdrbackuprestorejoblog.jobId AS `job_id`,
       timestamp AS `log_timestamp`
     FROM
       deduped
     JOIN
       filled_latest
     ON
       filled_latest.job_id = jsonpayload_v1_bdrbackuprestorejoblog.jobId
       AND jsonpayload_v1_bdrbackuprestorejoblog.jobStatus = filled_latest.final_status
     ORDER BY
       parsed_start_time DESC
     '
   
     # Backup Jobs Summary
     create_routine "backup_jobs_summary" "TABLE_VALUED_FUNCTION" \
     '
     SELECT
         DATE(log_timestamp) AS `date`,
         resource_project_name,
         job_category,
         ROUND((COUNTIF(job_status = '"'"'SUCCESSFUL'"'"')/COUNT(*)) * 100, 2) AS `success_percent`,
         COUNT(*) AS `total`,
         COUNTIF(job_status = '"'"'SUCCESSFUL'"'"') AS `successful`,
         COUNTIF(job_status = '"'"'FAILED'"'"') AS `failed`,
         COUNTIF(job_status = '"'"'SKIPPED'"'"') AS `skipped`,
       FROM
         `'$PROJECT_ID'.'$DATASET'.backup_restore_jobs`(FROM_DATE,
           TO_DATE)
       WHERE job_category IN ('"'"'ON_DEMAND_BACKUP'"'"', '"'"'SCHEDULED_BACKUP'"'"') AND job_status IN ('"'"'SUCCESSFUL'"'"', '"'"'FAILED'"'"', '"'"'SKIPPED'"'"')
       GROUP BY
         `date`,
         resource_project_name,
         job_category
       ORDER BY
         `date` DESC
     '
     create_view "backup_jobs_summary"
   
     # Backup Jobs Details
     create_routine "backup_jobs_details" "TABLE_VALUED_FUNCTION" \
     '
     SELECT
         job_name,
         resource_name,
         resource_project_name,
         job_status,
         error_type,
         error_code,
         error_message,
         job_start_time,
         job_end_time,
         duration,
         incremental_backup_size_in_gib,
         backup_consistency_time,
         backup_plan_name,
         backup_rule,
         backup_vault_name,
         backup_vault_project_name,
         resource_location,
         resource_type,
         resource_id,
         job_category,
         job_id
       FROM
         `'$PROJECT_ID'.'$DATASET'.backup_restore_jobs`(FROM_DATE,
           TO_DATE)
       WHERE
         job_status IN ('"'"'SUCCESSFUL'"'"',
           '"'"'FAILED'"'"', '"'"'SKIPPED'"'"') AND job_category IN ('"'"'ON_DEMAND_BACKUP'"'"', '"'"'SCHEDULED_BACKUP'"'"')
     '
     create_view "backup_jobs_details"
   
     # Successful Backup Jobs Details
     create_routine "successful_backup_jobs" "TABLE_VALUED_FUNCTION" \
     'SELECT
         job_name,
         resource_name,
         resource_project_name,
         job_start_time,
         job_end_time,
         duration,
         incremental_backup_size_in_gib,
         backup_consistency_time,
         backup_plan_name,
         backup_rule,
         backup_vault_name,
         backup_vault_project_name,
         resource_type,
         resource_id,
         job_category,
         job_id
       FROM
         `'$PROJECT_ID'.'$DATASET'.backup_jobs_details`(FROM_DATE,
           TO_DATE) WHERE job_status = '"'"'SUCCESSFUL'"'"'
     '
     create_view "successful_backup_jobs"
   
     # Failed Backup Job Details
     create_routine "failed_backup_jobs" "TABLE_VALUED_FUNCTION" \
     '
     SELECT
         job_name,
         resource_name,
         resource_project_name,
         error_type,
         error_code,
         error_message,
         job_start_time,
         job_end_time,
         duration,
         backup_plan_name,
         backup_rule,
         backup_vault_name,
         backup_vault_project_name,
         resource_type,
         resource_id,
         job_category,
         job_id
       FROM
         `'$PROJECT_ID'.'$DATASET'.backup_jobs_details`(FROM_DATE,
           TO_DATE) WHERE job_status = '"'"'FAILED'"'"'
     '
     create_view "failed_backup_jobs"
   
     # Skipped Backup Job Details
     create_routine "skipped_backup_jobs" "TABLE_VALUED_FUNCTION" \
     '
     SELECT
         job_name,
         resource_name,
         resource_project_name,
         backup_plan_name,
         backup_rule,
         backup_vault_name,
         job_start_time,
         backup_vault_project_name,
         resource_type,
         resource_id,
         job_category,
         job_id
       FROM
         `'$PROJECT_ID'.'$DATASET'.backup_jobs_details`(FROM_DATE,
           TO_DATE)
       WHERE
         job_status = '"'"'SKIPPED'"'"'
     '
     create_view "skipped_backup_jobs"
   
     # Restore Jobs Summary
     create_routine "restore_jobs_summary" "TABLE_VALUED_FUNCTION" \
     '
     SELECT
         DATE(log_timestamp) AS `date`,
         restore_project_name,
         backup_vault_project_name,
         ROUND((COUNTIF(job_status = '"'"'SUCCESSFUL'"'"')/COUNT(*)) * 100, 2) AS `success_percent`,
         COUNT(*) AS `total`,
         COUNTIF(job_status = '"'"'SUCCESSFUL'"'"') AS `successful`,
         COUNTIF(job_status = '"'"'FAILED'"'"') AS `failed`,
       FROM
         `'$PROJECT_ID'.'$DATASET'.backup_restore_jobs`(FROM_DATE,
           TO_DATE)
       WHERE
         job_category = '"'"'RESTORE'"'"'
         AND job_status IN ('"'"'SUCCESSFUL'"'"',
           '"'"'FAILED'"'"')
       GROUP BY
         `date`,
         restore_project_name,
         backup_vault_project_name
       ORDER BY
         `date` DESC
     '
     create_view "restore_jobs_summary"
   
     # Restore Jobs Details
     create_routine "restore_jobs_details" "TABLE_VALUED_FUNCTION" \
     '
     SELECT
         job_name,
         resource_name,
         resource_project_name,
         job_status,
         error_type,
         error_code,
         error_message,
         job_start_time,
         job_end_time,
         duration,
         restore_resource_name,
         restore_project_name,
         backup_vault_name,
         backup_vault_project_name,
         resource_location,
         resource_type,
         resource_id,
         job_id
       FROM
         `'$PROJECT_ID'.'$DATASET'.backup_restore_jobs`(FROM_DATE,
           TO_DATE)
       WHERE
         job_category IN ('"'"'RESTORE'"'"')
         AND job_status IN ('"'"'SUCCESSFUL'"'"',
           '"'"'FAILED'"'"')
     '
     create_view "restore_jobs_details"
     }
   
     # Protected Resource Details
     create_protected_resource_routines_and_views() {
     create_routine "protected_resource_details" "TABLE_VALUED_FUNCTION" \
     '
     WITH
       dat AS (
       SELECT
         *,
         LAG(insertId, 1, '"'"'placeholder_id'"'"') OVER (ORDER BY timestamp, insertId) = insertId AS `insert_id_is_same`,
         LAG(timestamp, 1, TIMESTAMP_SECONDS(1)) OVER (ORDER BY timestamp, insertId) = timestamp AS `timestamp_is_same`
   
       FROM
         `'$PROJECT_ID'.'$DATASET'.'$PROTECTED_RESOURCE_TABLE_PREFIX'*` WHERE _TABLE_SUFFIX >= FROM_DATE AND _TABLE_SUFFIX <= TO_DATE
         ),
       deduped AS (
       SELECT
         * EXCEPT (`insert_id_is_same`,
           `timestamp_is_same`)
       FROM
         dat
       WHERE
         NOT (`insert_id_is_same`
           AND `timestamp_is_same`) ),
       latest_for_date AS (
       SELECT
         DATE(timestamp) AS `log_date`,
         jsonpayload_v1_bdrprotectedresourcelog.sourceresourcename AS `source_resource_name`,
         MAX(timestamp) AS `latest_timestamp`
       FROM
         deduped
       GROUP BY
         `log_date`,
         `source_resource_name` )
     SELECT
       DATE(timestamp) AS `date`,
       jsonpayload_v1_bdrprotectedresourcelog.resourcetype AS `resource_type`,
       REGEXP_EXTRACT(jsonpayload_v1_bdrprotectedresourcelog.sourceresourcename, '"'"'([^/]+)$'"'"') AS `resource_name`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrprotectedresourcelog.sourceresourcename, '"'"'/'"'"')) < 2, NULL, SPLIT(jsonpayload_v1_bdrprotectedresourcelog.sourceresourcename,'"'"'/'"'"')[1]) AS `resource_project_name`,
       jsonpayload_v1_bdrprotectedresourcelog.sourceresourcedatasizegib AS `resource_data_size_in_gib`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrprotectedresourcelog.currentbackupvaultname, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrprotectedresourcelog.currentbackupvaultname,'"'"'/'"'"')[5]) AS `backup_vault_name`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrprotectedresourcelog.currentbackupplanname, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrprotectedresourcelog.currentbackupplanname,'"'"'/'"'"')[5]) AS `backup_plan_name`,
       (
       SELECT
         ARRAY_AGG(STRUCT(
             array_entry.rulename AS `rule_name`,
             array_entry.recurrence AS `recurrence`,
             array_entry.recurrenceschedule AS `recurrence_schedule`,
             array_entry.backupwindow AS `backup_window`,
             IF(array_entry.backupwindowtimezone = '"'"'Etc/UTC'"'"', '"'"'UTC'"'"',array_entry.backupwindowtimezone)  AS `backup_window_time_zone`,
             array_entry.retentiondays AS `retention_days`
           ))
       FROM
         UNNEST(jsonpayload_v1_bdrprotectedresourcelog.currentbackupruledetails) array_entry ) AS `backup_rules`,
     DATE(PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', jsonpayload_v1_bdrprotectedresourcelog.lastprotectedon)) AS `last_backup_plan_assoc_date`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrprotectedresourcelog.currentbackupplanname, '"'"'/'"'"')) < 2, NULL, SPLIT(jsonpayload_v1_bdrprotectedresourcelog.currentbackupplanname,'"'"'/'"'"')[1]) AS `backup_vault_project_name`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrprotectedresourcelog.currentbackupplanname, '"'"'/'"'"')) < 4, NULL, SPLIT(jsonpayload_v1_bdrprotectedresourcelog.currentbackupplanname,'"'"'/'"'"')[3]) AS `backup_vault_location`,
     IF
       (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrprotectedresourcelog.sourceresourcename, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrprotectedresourcelog.sourceresourcename,'"'"'/'"'"')[3]) AS `resource_location`,
       jsonpayload_v1_bdrprotectedresourcelog.sourceresourceid AS `resource_id`,
     FROM
       deduped
     INNER JOIN
       latest_for_date
     ON
       DATE(timestamp) = latest_for_date.log_date
       AND timestamp = latest_for_date.latest_timestamp
       AND latest_for_date.`source_resource_name` = jsonpayload_v1_bdrprotectedresourcelog.sourceresourcename
     ORDER BY
       `date` DESC,
       `resource_name` ASC
     '
     create_view "protected_resource_details"
     }
   
     # Backup Vault Consumption
     create_backup_vault_consumption_routines_and_views() {
     create_routine "backup_vault_consumption" "TABLE_VALUED_FUNCTION" \
     '
     WITH
         dat AS (
         SELECT
           *,
         LAG(insertId, 1, '"'"'placeholder_id'"'"') OVER (ORDER BY timestamp, insertId) = insertId AS `insert_id_is_same`,
         LAG(timestamp, 1, TIMESTAMP_SECONDS(1)) OVER (ORDER BY timestamp, insertId) = timestamp AS `timestamp_is_same`
         FROM
           `'$PROJECT_ID'.'$DATASET'.'$BACKUP_VAULT_TABLE_PREFIX'*`
         WHERE
           jsonpayload_v1_bdrbackupvaultdetailslog.resourceType IN ('"'"'Compute Engine'"'"')
           AND _TABLE_SUFFIX >= FROM_DATE
           AND _TABLE_SUFFIX <= TO_DATE ),
         deduped AS (
         SELECT
           * EXCEPT (`insert_id_is_same`,
             `timestamp_is_same`)
         FROM
           dat
         WHERE
           NOT (`insert_id_is_same`
             AND `timestamp_is_same`) ),
         latest_for_date AS (
         SELECT
           DATE(timestamp) AS `log_date`,
           MAX(timestamp) AS `latest_timestamp`,
           jsonpayload_v1_bdrbackupvaultdetailslog.sourceresourcename AS `source_resource_name`,
         FROM
           deduped
         GROUP BY
           log_date,
           `source_resource_name`)
       SELECT
         DATE(timestamp) AS `date`,
         jsonpayload_v1_bdrbackupvaultdetailslog.resourcetype AS `resource_type`,
         REGEXP_EXTRACT(jsonpayload_v1_bdrbackupvaultdetailslog.sourceresourcename, '"'"'([^/]+)$'"'"') AS `resource_name`,
         SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.sourceresourcename, '"'"'/'"'"')[1] AS `resource_project_name`,
       IF
         (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.backupvaultname, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.backupvaultname,'"'"'/'"'"')[5]) AS `backup_vault_name`,
         jsonpayload_v1_bdrbackupvaultdetailslog.storedbytesgib AS `backup_vault_stored_bytes_in_gib`,
     CAST(jsonpayload_v1_bdrbackupvaultdetailslog.minimumEnforcedRetentionDays AS INT64) AS `backup_vault_minimum_enforced_retention_days`,
       IF
     (ARRAY_LENGTH(SPLIT(IF
     (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackupvaultdetailslog).currentbackupplanname) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackupvaultdetailslog).currentbackupplanname), NULL), '"'"'/'"'"')) < 6, NULL, SPLIT(IF
     (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackupvaultdetailslog).currentbackupplanname) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackupvaultdetailslog).currentbackupplanname), NULL),'"'"'/'"'"')[5]) AS `backup_plan_name`,
     PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', IF
     (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackupvaultdetailslog).firstavailablerestorepoint) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackupvaultdetailslog).firstavailablerestorepoint), NULL)) AS `first_available_restore_point`,
     PARSE_TIMESTAMP('"'"'%FT%H:%M:%E*S%Ez'"'"', IF
     (JSON_TYPE(TO_JSON(jsonpayload_v1_bdrbackupvaultdetailslog).lastavailablerestorepoint) = '"'"'string'"'"', STRING(TO_JSON(jsonpayload_v1_bdrbackupvaultdetailslog).lastavailablerestorepoint), NULL)) AS `last_available_restore_point`,
   
       IF
         (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.backupvaultname, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.backupvaultname,'"'"'/'"'"')[1]) AS `backup_vault_project_name`,
       IF
         (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.backupvaultname, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.backupvaultname,'"'"'/'"'"')[3]) AS `backup_vault_location`,
       IF
         (ARRAY_LENGTH(SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.sourceresourcename, '"'"'/'"'"')) < 6, NULL, SPLIT(jsonpayload_v1_bdrbackupvaultdetailslog.sourceresourcename,'"'"'/'"'"')[3]) AS `resource_location`,
       FROM
         deduped
       INNER JOIN
         latest_for_date
       ON
         DATE(timestamp) = latest_for_date.log_date
         AND timestamp = latest_for_date.latest_timestamp
         AND jsonpayload_v1_bdrbackupvaultdetailslog.sourceresourcename = latest_for_date.`source_resource_name`
       ORDER BY
         `date` DESC,
         `resource_name` ASC
     '
     create_view "backup_vault_consumption"
     }
   
     # Daily Scheduled Compliance
     create_daily_scheduled_compliance_routine_and_view() {
     create_routine "daily_scheduled_compliance" "TABLE_VALUED_FUNCTION" \
     '
     WITH
       DailyComplianceWindows AS (
       SELECT
         * EXCEPT (backup_rules),
         PARSE_TIMESTAMP('"'"'%F %H:%M %Z'"'"', date || '"'"' '"'"' || REGEXP_EXTRACT_ALL(backup_window, '"'"'[0-9][0-9]:[0-9][0-9]'"'"')[0] || '"'"' '"'"' || backup_window_time_zone) AS expected_start_time,
         resource_project_name || '"'"'/'"'"' || resource_location || '"'"'/'"'"' || resource_id AS unique_resource_name,
       IF
         (REGEXP_EXTRACT_ALL(backup_window, '"'"'[0-9][0-9]:[0-9][0-9]'"'"')[1] = '"'"'24:00'"'"', TIMESTAMP_ADD(PARSE_TIMESTAMP('"'"'%F %H:%M %Z'"'"', date || '"'"' 23:59 '"'"' || backup_window_time_zone), INTERVAL 1 MINUTE), PARSE_TIMESTAMP('"'"'%F %H:%M %Z'"'"', date || '"'"' '"'"' || REGEXP_EXTRACT_ALL(backup_window, '"'"'[0-9][0-9]:[0-9][0-9]'"'"')[1] || '"'"' '"'"' || backup_window_time_zone)) AS expected_end_time
       FROM
         `'$PROJECT_ID'.'$DATASET'.protected_resource_details`(FROM_DATE, TO_DATE)
       CROSS JOIN
         UNNEST(backup_rules) AS rule
       ON
         rule.recurrence='"'"'Daily'"'"'),
       BackupJobs AS (
       SELECT
         *,
         resource_project_name || '"'"'/'"'"' || resource_location || '"'"'/'"'"' || resource_id AS unique_resource_name,
       FROM
         `'$PROJECT_ID'.'$DATASET'.backup_restore_jobs`(FROM_DATE, FORMAT_DATE('"'"'%Y%m%d'"'"', DATE_ADD(PARSE_DATE('"'"'%Y%m%d'"'"', TO_DATE), INTERVAL 10 DAY)))
       WHERE
         job_category IN ('"'"'ON_DEMAND_BACKUP'"'"',
           '"'"'SCHEDULED_BACKUP'"'"') ),
       DailyCompliance AS (
       SELECT
         date,
         DailyComplianceWindows.resource_type,
         DailyComplianceWindows.resource_name,
         DailyComplianceWindows.resource_project_name as `resource_project_name`,
         DailyComplianceWindows.backup_plan_name,
         DailyComplianceWindows.rule_name,
         DailyComplianceWindows.backup_window,
         DailyComplianceWindows.backup_window_time_zone,
         (CASE BackupJobs.job_status
             WHEN '"'"'SUCCESSFUL'"'"' THEN '"'"'Successful'"'"'
             WHEN '"'"'RUNNING'"'"' THEN '"'"'Pending'"'"'
             ELSE
         IF
           (CURRENT_TIMESTAMP() <= DailyComplianceWindows.expected_end_time, '"'"'Pending'"'"', '"'"'Failed'"'"')
         END
           ) AS backup_schedule_compliance_status,
         (CASE BackupJobs.job_status
             WHEN '"'"'SUCCESSFUL'"'"' THEN '"'"'Job '"'"' || BackupJobs.job_name || '"'"' was successful.'"'"'
             WHEN '"'"'RUNNING'"'"' THEN '"'"'Job '"'"' || BackupJobs.job_name || '"'"' is running.'"'"'
             ELSE
         IF
           (CURRENT_TIMESTAMP() <= DailyComplianceWindows.expected_end_time, '"'"'Backup window for '"'"'|| date || '"'"' has not passed yet.'"'"', '"'"'No successful backup job detected within backup window.'"'"')
         END
           ) AS comment,
         DailyComplianceWindows.backup_vault_name,
         DailyComplianceWindows.backup_vault_project_name as `backup_vault_project_name`,
         DailyComplianceWindows.backup_vault_location as `backup_vault_location`,
         DailyComplianceWindows.resource_location,
         ROW_NUMBER() OVER (PARTITION BY BackupJobs.unique_resource_name, DailyComplianceWindows.date, DailyComplianceWindows.rule_name ORDER BY (CASE BackupJobs.job_status WHEN '"'"'SUCCESSFUL'"'"' THEN 4 WHEN '"'"'RUNNING'"'"' THEN 3 ELSE 1 END ) DESC,
           BackupJobs.job_start_time ASC) AS row_number,
       FROM
         DailyComplianceWindows
       LEFT JOIN
         BackupJobs
       ON
         (BackupJobs.unique_resource_name = DailyComplianceWindows.unique_resource_name
           AND BackupJobs.backup_rule = DailyComplianceWindows.rule_name
           AND BackupJobs.job_status = '"'"'SUCCESSFUL'"'"'
           AND BackupJobs.backup_consistency_time >= DailyComplianceWindows.expected_start_time
           AND BackupJobs.backup_consistency_time <= DailyComplianceWindows.expected_end_time)
         OR (BackupJobs.unique_resource_name = DailyComplianceWindows.unique_resource_name
           AND BackupJobs.backup_rule = DailyComplianceWindows.rule_name
           AND BackupJobs.job_status = '"'"'RUNNING'"'"'
           AND BackupJobs.job_start_time >= DailyComplianceWindows.expected_start_time
           AND BackupJobs.job_start_time <= DailyComplianceWindows.expected_end_time)
       ORDER BY
         date DESC,
         BackupJobs.resource_name ASC)
     SELECT
       * EXCEPT(row_number)
     FROM
       DailyCompliance
     WHERE
       row_number = 1
     '
     create_view "daily_scheduled_compliance"
     }
   
     # --- Main script ---
   
     # Get the default project ID
     DEFAULT_PROJECT_ID=$(gcloud config get-value project)
     read -p "Enter Project ID (default: $DEFAULT_PROJECT_ID, press Enter to continue):" PROJECT_ID
   
     # Use default if no input is provided
     if [ -z "$PROJECT_ID" ]; then
       PROJECT_ID=$DEFAULT_PROJECT_ID
     fi
   
     ## Generate Access Token
     echo "Generating access token..."
     ACCESS_TOKEN=$(gcloud auth print-access-token --quiet)
     if [ -z "$ACCESS_TOKEN" ]; then
       echo "Failed to retrieve access token" >&2
       exit 1
     fi
     echo "Access token generated successfully..."
   
     ## Check if the dataset exists
     echo "Check if Reporting Dataset exists..."
     if bq --project_id $PROJECT_ID ls | grep "$DATASET" >/dev/null; then
       echo "Dataset $DATASET exists for $PROJECT_ID. Continuing."
     else
       echo "Dataset $DATASET does not exist for $PROJECT_ID. Exiting."
       exit 0
     fi
   
     ## Check if the tables exist
     echo "Determining which tables are available in BigQuery..."
     check_jobs_table=$(bq --project_id $PROJECT_ID query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from "$DATASET".INFORMATION_SCHEMA.TABLES WHERE table_name like '%"$JOBS_TABLE_PREFIX"%'" | tail -n +2 | tr -d ' ')
     check_protected_resource_table=$(bq --project_id $PROJECT_ID query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from "$DATASET".INFORMATION_SCHEMA.TABLES WHERE table_name like '%"$PROTECTED_RESOURCE_TABLE_PREFIX"%'" | tail -n +2 | tr -d ' ')
     check_backup_vault_consumption_table=$(bq --project_id $PROJECT_ID query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from "$DATASET".INFORMATION_SCHEMA.TABLES WHERE table_name like '%"$BACKUP_VAULT_TABLE_PREFIX"%'" | tail -n +2 | tr -d ' ')
   
     echo "Creating routines and views based on available tables.."
     if [ "$check_jobs_table" == 'true' ]; then
     create_jobs_routines_and_views
     fi
   
     if [ "$check_protected_resource_table" == 'true' ]; then
     create_protected_resource_routines_and_views
     fi
   
     if [ "$check_backup_vault_consumption_table" == 'true' ]; then
     create_backup_vault_consumption_routines_and_views
     fi
   
     if [ "$check_jobs_table" == 'true' ] && [ "$check_protected_resource_table" == 'true' ] ; then
     create_daily_scheduled_compliance_routine_and_view
     fi
   
     if [ $check_jobs_table == 'false' ] || [ $check_protected_resource_table == 'false' ] || [ $check_backup_vault_consumption_table == 'false' ]; then
     echo -e "\e[1m\e[33mAll the prebuilt reports could not be created successfully in BigQuery as one or more report logs are missing in the dataset $DATASET."
     echo -e "Please ensure that you have waited for at least 8 hours after creating the sink, and before running the script to create pre built reports. Try re-running the script again after some time to fix the issue."
     echo -e "Reach out to Google Cloud Support in case you are still facing this issue.\e[0m"
     else
     echo "Set up completed..."
     fi
   
   

4. Save the file with a name with a Bash file extension, for example, backupdrreports.sh.

5. Run the command bash using the file you just created. For example, bash backupdrreports.sh.

   You can see the prebuilt reports under the dataset in the BigQuery Studio.

After you set up prebuilt reports, you can view the reports in Looker Studio or download prebuilt reports in a CSV file.

What's next

• Learn how to Write custom queries in BigQuery
• Learn how to View prebuilt reports in Google connected sheets for vaulted backups
• Learn how to View prebuilt reports in Looker for vaulted backups