Configurare i report predefiniti in BigQuery per i backup archiviati in un archivio

Questa pagina spiega come configurare e visualizzare i report predefiniti in BigQuery per le risorse protette utilizzando i piani di backup.

Per configurare i report, devi eseguire un'attività una tantum per creare un destinatario dei log per trasmettere in streaming i dati di log in BigQuery, quindi eseguire lo script predefinito. Se vuoi configurare e visualizzare i report predefiniti in BigQuery per le risorse protette utilizzando il modello di backup nella console di gestione, consulta Configurare i report predefiniti in BigQuery.

Ruolo IAM richiesto

Per visualizzare i report predefiniti in BigQuery per i backup in un archivio sono necessarie le seguenti autorizzazioni IAM. Scopri come concedere un ruolo IAM.

Role	Quando concedere il ruolo
Scrittore di configurazione dei log (roles/logging.configWriter) o amministratore di log (roles/logging.admin) ed Editor dati BigQuery (roles/bigquery.dataEditor)	Per creare un set di dati BigQuery e un sink dalla console Google Cloud.
Proprietario (roles/owner)	Per creare un set di dati BigQuery e un sink da Google Cloud CLI.
Amministratore BigQuery (bigquery.admin)	Per scrivere query personalizzate o scaricare query.

Crea un sink e inoltra i log a BigQuery per i backup archiviati in un archivio

BigQuery archivia solo i log generati dopo la creazione di un sink di log. I log generati prima della creazione di un sink di log non sono visibili in BigQuery. Puoi creare il sink di log dalla console Google Cloud o da Google Cloud CLI.

Per creare log di sink e routing in BigQuery per i backup in un vault, procedi nel seguente modo:

Console

1. Nella console Google Cloud, vai alla pagina Log Router:

   Vai alla pagina Router dei log

2. Seleziona un progetto Google Cloud esistente.
3. Fai clic su Crea sink.
4. Nel riquadro Dettagli sink, inserisci i seguenti campi:
   1. Nome sink: inserisci il nome del sink come bdr_report_sink. Devi utilizzare il nome dell'emissario bdr_report_sink per l'identificazione dei report di backup e RE da altri emissari.
   2. Descrizione sink: descrivi lo scopo o il caso d'uso del sink.

5. Nel riquadro Destinazione sink, segui questi passaggi:

   1. Nel menu Seleziona servizio sink, seleziona il servizio sink Set di dati BigQuery.
   2. In Seleziona set di dati BigQuery, seleziona Crea nuovo set di dati BigQuery.
   3. Nella pagina Crea set di dati:
      1. In ID set di dati, inserisci il nome del set di dati come BackupandDR_reports per distinguerlo da altri set di dati. Non modificare il nome del set di dati da BackupandDR_reports.
      2. Per Tipo di località, scegli una località geografica per il set di dati. Una volta creato un set di dati, la posizione non può essere modificata.
      3. (Facoltativo) Se vuoi che le tabelle di questo set di dati scadano, seleziona Attiva la scadenza delle tabelle, quindi specifica la Durata massima predefinita della tabella in giorni.
      4. Fai clic su Crea set di dati.

6. Nel riquadro Scegli i log da includere nel sink, procedi nel seguente modo:

   1. Nel campo Crea filtro di inclusione, inserisci la seguente espressione di filtro che corrisponde alle voci di log da includere.

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

   2. Per verificare di aver inserito il filtro corretto, seleziona Anteprima dei log. Si apre Esplora log in una nuova scheda con il filtro precompilato.

7. (Facoltativo) Nel riquadro Scegli i log da escludere dal sink, segui questi passaggi:

   1. Nel campo Nome filtro di esclusione, inserisci un nome.

   2. Nel campo Crea un filtro di esclusione, inserisci un'espressione filtro che corrisponda alle voci di log che vuoi escludere. Puoi anche utilizzare la funzione di esempio per selezionare una parte delle voci di log da escludere.

      Nota: se vuoi che il filtro di esclusione venga disattivato al momento della creazione dell'eseguitore, seleziona Disattiva dopo aver inserito l'espressione del filtro. Puoi aggiornare l'eseguiamo in un secondo momento per attivare il filtro di esclusione.

8. Seleziona Crea sink.

   Puoi visualizzare il set di dati in BigQuery Studio.

gcloud

1. Vai ad Attiva Cloud Shell e fai clic su Apri editor.
2. Fai clic sull'icona , seleziona File e poi Nuovo file di testo.

3. Copia e incolla il seguente 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. Salva il file con un nome che includa un'estensione file Bash, ad esempio script.sh.

5. Esegui il comando bash utilizzando il file appena creato. Ad esempio, bash script.sh.

   Puoi visualizzare il set di dati creato in BigQuery Studio.

Nota: in genere le voci di log sono visibili in BigQuery entro un minuto. Tuttavia, quando viene creato un sink, potrebbero essere necessari fino a 60 minuti prima che i dati dei log siano disponibili in BigQuery.

Configurare i report predefiniti per i backup archiviati nel vault

Puoi configurare i report predefiniti eseguendo il seguente script all'interno del set di dati in cui i log vengono instradati tramite l'elemento di destinazione dei sink di log.

Lo script aggiunge i seguenti report predefiniti:

• Report sui job di backup e ripristino per i backup archiviati nel vault
• Report sulle risorse protette per i backup archiviati nel vault
• Report sul consumo del vault di backup per i backup archiviati nel vault
• Report giornalieri sulla conformità alla pianificazione per i backup archiviati

Nota: a seconda della categoria di log, i log vengono generati con una frequenza da zero a otto ore. Per assicurarti l'esecuzione dello script, ti consigliamo di eseguirlo almeno otto ore dopo aver creato il sink.

Per configurare i report predefiniti in BigQuery per i backup in un archivio, svolgi i seguenti passaggi:

gcloud

1. Vai ad Attiva Cloud Shell e fai clic su Apri editor.
2. Fai clic sull'icona , seleziona File e poi Nuovo file di testo.

3. Copia e incolla il seguente script per i report predefiniti in 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. Salva il file con un nome che includa un'estensione file Bash, ad esempio backupdrreports.sh.

5. Esegui il comando bash utilizzando il file appena creato. Ad esempio, bash backupdrreports.sh.

   Puoi visualizzare i report predefiniti nel set di dati in BigQuery Studio.

Dopo aver configurato i report predefiniti, puoi visualizzarli in Looker Studio o scaricarli in un file CSV.

Passaggi successivi

• Scopri come scrivere query personalizzate in BigQuery
• Scopri come visualizzare i report predefiniti in Fogli Google collegati per i backup in Vault
• Scopri come visualizzare i report predefiniti in Looker per i backup archiviati nel vault