Configura informes compilados previamente en BigQuery para las copias de seguridad en la bóveda

En esta página, se explica cómo configurar y ver informes precompilados en BigQuery para los recursos que están protegidos con planes de copia de seguridad.

Para configurar los informes, debes realizar una actividad única de creación de un sumidero de registros para transmitir datos de registro a BigQuery y, luego, ejecutar la secuencia de comandos precompilada. Si deseas configurar y ver informes precompilados en BigQuery para los recursos que se protegen con la plantilla de copia de seguridad en la consola de administración, consulta Cómo configurar informes precompilados en BigQuery.

Rol de IAM requerido

Se requieren los siguientes permisos de IAM para ver informes precompilados en BigQuery para copias de seguridad en la bóveda. Obtén más información para otorgar un rol de IAM.

Función	Cuándo otorgar el rol
Autor de configuración de registros (roles/logging.configWriter) o Administrador de registros (roles/logging.admin) y Editor de datos de BigQuery (roles/bigquery.dataEditor)	Para crear un receptor y un conjunto de datos de BigQuery desde la consola de Google Cloud.
Propietario (roles/owner)	Para crear un receptor y un conjunto de datos de BigQuery desde la Google Cloud CLI
BigQuery Admin (bigquery.admin)	Para escribir consultas personalizadas o descargar consultas.

Crea un receptor y enruta los registros a BigQuery para las copias de seguridad en la bóveda

BigQuery solo almacena los registros que se generan después de crear un receptor de registros. Los registros que se generan antes de crear un receptor de registros no son visibles en BigQuery. Puedes crear el destino de registro desde la consola de Google Cloud o Google Cloud CLI.

Para crear registros de destino y enrutamiento en BigQuery para copias de seguridad en la bóveda, haz lo siguiente:

Console

1. En la consola de Google Cloud, ve a la página Enrutador de registros:

   Ir a la página Enrutador de registros

2. Selecciona un proyecto existente de Google Cloud .
3. Haz clic en Crear un receptor.
4. En el panel Detalles del receptor, ingresa los siguientes campos:
   1. Nombre del receptor: Ingresa el nombre del receptor como bdr_report_sink. Debes usar el nombre del sumidero bdr_report_sink para identificar los informes de copia de seguridad y DR de otros sumideros.
   2. Descripción del sumidero: Describe el propósito o el caso de uso del sumidero.

5. En el panel Destino del receptor, haz lo siguiente:

   1. En el menú Seleccionar el servicio del receptor, selecciona el servicio del receptor Conjunto de datos de BigQuery.
   2. En Selecciona un conjunto de datos de BigQuery, selecciona Crear nuevo conjunto de datos de BigQuery.
   3. En la página Crear conjunto de datos, haz lo siguiente:
      1. En ID de conjunto de datos, ingresa el nombre del conjunto de datos como BackupandDR_reports para identificarlo entre otros conjuntos de datos. No cambies el nombre del conjunto de datos de BackupandDR_reports.
      2. En Tipo de ubicación, elige una ubicación geográfica para el conjunto de datos. Después de crear un conjunto de datos, la ubicación no se puede cambiar.
      3. Opcional: Si deseas que las tablas de este conjunto de datos caduquen, selecciona Habilitar el vencimiento de la tabla y, luego, especifica la Antigüedad máxima predeterminada de la tabla en días.
      4. Haz clic en Crear conjunto de datos.

6. En el panel Elige registros para incluirlos en el receptor, haz lo siguiente:

   1. En el campo Crear filtro de inclusión, ingresa la siguiente expresión de filtro que coincida con las entradas de registro que deseas incluir.

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

   2. Para verificar que ingresaste el filtro correcto, selecciona Obtener vista previa de los registros. Se abrirá el Explorador de registros en una pestaña nueva con el filtro prepropagado.

7. Opcional: En el panel Elige registros para filtrar fuera del receptor, haz lo siguiente:

   1. En el campo Nombre de filtro de exclusión, ingresa un nombre.

   2. En el campo Crea un filtro de exclusión, ingresa una expresión de filtro que coincida con las entradas de registro que deseas excluir. También puedes usar la función sample para seleccionar una parte de las entradas de registro que deseas excluir.

      Nota: Si deseas que se inhabilite el filtro de exclusión cuando se cree el receptor, selecciona Inhabilitar después de ingresar la expresión del filtro. Puedes actualizar el receptor más adelante para habilitar el filtro de exclusión.

8. Selecciona Crear receptor.

   Puedes ver el conjunto de datos en BigQuery Studio.

gcloud

1. Ve a Activar Cloud Shell y haz clic en Abrir editor.
2. Haz clic en el ícono , selecciona File y, luego, New text file.

3. Copia y pega la siguiente secuencia de comandos.

      #!/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. Guarda el archivo con un nombre que tenga una extensión de archivo Bash, por ejemplo, script.sh.

5. Ejecuta el comando bash con el archivo que acabas de crear. Por ejemplo, bash script.sh.

   Puedes ver el conjunto de datos creado en BigQuery Studio.

Nota: Por lo general, las entradas de registro se pueden ver en BigQuery en un minuto. Sin embargo, cuando se crea un receptor, es posible que transcurran hasta sesenta minutos antes de que los datos de registro estén disponibles en BigQuery.

Configura informes precompilados para las copias de seguridad almacenadas

Para configurar informes precompilados, ejecuta la siguiente secuencia de comandos dentro del conjunto de datos en el que se enrutan los registros a través del receptor de registros.

La secuencia de comandos agrega los siguientes informes precompilados:

• Informes de trabajos de copia de seguridad y restablecimiento para copias de seguridad con backup vault
• Informes de recursos protegidos para copias de seguridad almacenadas en vault
• Informes de consumo de Backup Vault para copias de seguridad almacenadas en vault
• Programa informes de cumplimiento diarios para las copias de seguridad en la bóveda

Nota: Según la categoría de registro, los registros se generan con una frecuencia de cero a ocho horas. Para garantizar que la secuencia de comandos se ejecute correctamente, se recomienda que la ejecutes al menos ocho horas después de crear el sumidero.

Para configurar informes compilados previamente en BigQuery para copias de seguridad en la bóveda, haz lo siguiente:

gcloud

1. Ve a Activar Cloud Shell y haz clic en Abrir editor.
2. Haz clic en el ícono , selecciona File y, luego, New text file.

3. Copia y pega la siguiente secuencia de comandos de informes precompilados en 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. Guarda el archivo con un nombre que tenga una extensión de archivo Bash, por ejemplo, backupdrreports.sh.

5. Ejecuta el comando bash con el archivo que acabas de crear. Por ejemplo, bash backupdrreports.sh.

   Puedes ver los informes compilados previamente en el conjunto de datos de BigQuery Studio.

Después de configurar informes precompilados, puedes ver los informes en Looker Studio o descargar informes precompilados en un archivo CSV.

¿Qué sigue?

• Obtén información para escribir consultas personalizadas en BigQuery
• Obtén más información para ver informes precompilados en Hojas de cálculo conectadas de Google para copias de seguridad en la bóveda.
• Obtén información para ver informes compilados previamente en Looker para copias de seguridad almacenadas en vault.