Set up prebuilt reports in BigQuery for vaulted resources

This page explains how to set up and view prebuilt reports in BigQuery for vaulted 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 resources. 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 resources

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 resources, 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.

  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.

Set up prebuilt reports for vaulted resources

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:

To set up prebuilt reports in BigQuery for vaulted resources, 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