Configurer des rapports prédéfinis dans BigQuery

Cette page explique comment configurer et afficher des rapports prédéfinis dans BigQuery. Ces rapports sont créés à l'aide des journaux de Cloud Logging. Pour configurer des rapports, vous devez effectuer une activité ponctuelle consistant à créer un récepteur de journaux pour diffuser des données de journalisation dans BigQuery, puis exécuter le script prédéfini.

Rôle IAM requis

Les autorisations IAM suivantes sont requises pour afficher les rapports prédéfinis dans BigQuery. Découvrez comment attribuer un rôle IAM.

Rôle	Quand attribuer le rôle ?
Écrivain de la configuration des journaux (roles/logging.configWriter) ou Administrateur de la journalisation (roles/logging.admin) et Éditeur de données BigQuery (roles/bigquery.dataEditor)	Pour créer un collecteur et un ensemble de données BigQuery à partir de la console Google Cloud
Propriétaire (roles/owner)	Créer un sink et un ensemble de données BigQuery à partir du Google Cloud CLI
Administrateur BigQuery (bigquery.admin)	Pour rédiger des requêtes personnalisées ou télécharger des requêtes.

Créer un récepteur et acheminer les journaux vers BigQuery

BigQuery ne stocke que les journaux générés après la création d'un récepteur de journaux. Les journaux générés avant la création d'un récepteur de journaux ne sont pas visibles dans BigQuery. Vous pouvez créer le collecteur de journaux à partir de la console Google Cloud ou de Google Cloud CLI.

Pour créer des journaux de destination et d'acheminement dans BigQuery, procédez comme suit:

Console

1. Dans la console Google Cloud , accédez à la page Routeur de journaux:

   Accéder à la page du routeur de journaux

2. Sélectionnez un projet Google Cloud existant.
3. Cliquez sur Créer un récepteur.
4. Dans le panneau Détails du récepteur, saisissez les champs suivants :
   1. Nom du récepteur: saisissez BackupandDR_reports_sink comme nom du récepteur. Vous devez utiliser le nom de la destination BackupandDR_reports_sink pour identifier les rapports de sauvegarde et de reprise après sinistre provenant d'autres destinations.
   2. Description du récepteur: décrivez l'objectif ou le cas d'utilisation du récepteur.

5. Dans le panneau Destination du récepteur, procédez comme suit:

   1. Dans le menu Select sink service (Sélectionner le service de récepteur), sélectionnez le service de récepteur BigQuery dataset (Ensemble de données BigQuery).
   2. Dans Sélectionnez un ensemble de données BigQuery, sélectionnez Créer un ensemble de données BigQuery.
   3. Sur la page Créer un ensemble de données, procédez comme suit :
      1. Pour ID de l'ensemble de données, saisissez le nom de l'ensemble de données sous la forme BackupandDR_reports afin de le distinguer des autres ensembles de données. Ne modifiez pas le nom de l'ensemble de données (BackupandDR_reports).
      2. Dans Type d'emplacement, sélectionnez un emplacement géographique pour l'ensemble de données. Une fois l'ensemble de données créé, l'emplacement ne peut plus être modifié.
      3. Facultatif: Si vous souhaitez que les tables de cet ensemble de données expirent, sélectionnez Activer l'expiration de la table, puis spécifiez l'âge maximal par défaut de la table en jours.
      4. Cliquez sur Créer un ensemble de données.

6. Dans le panneau Sélectionner les journaux à inclure dans le récepteur, procédez comme suit :

   1. Dans le champ Créer un filtre d'inclusion, saisissez l'expression de filtre suivante qui correspond aux entrées de journal que vous souhaitez inclure.

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

   2. Pour vérifier que le filtre saisi est correct, sélectionnez Prévisualiser les journaux. L'Explorateur de journaux s'ouvre dans un nouvel onglet avec le filtre prérempli.

7. Facultatif: Dans le panneau Sélectionner les journaux à exclure du récepteur, procédez comme suit:

   1. Dans le champ Nom du filtre d'exclusion, saisissez un nom.

   2. Dans le champ Créer un filtre d'exclusion, saisissez une expression de filtre correspondant aux entrées de journal que vous souhaitez exclure. Vous pouvez également utiliser la fonction d'échantillonnage pour sélectionner une partie des entrées de journal à exclure.

      Remarque :Si vous souhaitez désactiver votre filtre d'exclusion lors de la création du récepteur, sélectionnez Désactiver après avoir saisi votre expression de filtre. Vous pourrez mettre à jour le récepteur ultérieurement pour activer le filtre d'exclusion.

8. Cliquez sur Créer un récepteur.

   Vous pouvez consulter l'ensemble de données dans BigQuery Studio.

gcloud

1. Accédez à Activer Cloud Shell, puis cliquez sur Ouvrir l'éditeur.
2. Cliquez sur l'icône , sélectionnez Fichier, puis Nouveau fichier texte.

3. Copiez et collez le script suivant.

     #!/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 $PROJECT_ID"
     else
       echo "For logs to be available in BigQuery, we need to enable BigQuery service in the project if not done already. This might mean additional costs incurred. Please check the pricing at https://cloud.google.com/backup-disaster-recovery/docs/monitor-reports/reports-overview#pricing before proceeding."
       read -p "Do you want to continue(Y/N)?" continue
       if [ "$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 "BackupandDR_reports" >/dev/null; then
       echo "Dataset BackupandDR_reports already exists for $PROJECT_ID"
     else
       echo "Creating bigQuery dataset BackupandDR_reports..."
       # --- Get dataset location from user (default: US) ---
       read -p "Enter dataset location (default: US, press Enter to use): " DATASET_LOCATION
       if [ -z "$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 BackupandDR_reports)
       if [ $? -eq 0 ]; then
         echo "Created a BigQuery dataset BackupandDR_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 "BackupandDR_reports_sink" >/dev/null; then
       echo "Log Sink BackupandDR_reports_sink already exists for $PROJECT_ID"
     else
       log_filter="projects/$PROJECT_ID/logs/backupdr.googleapis.com%2Fgcb_*"
       echo "Creating log sink BackupandDR_reports_sink..."
       result=$(gcloud logging sinks create BackupandDR_reports_sink bigquery.googleapis.com/projects/$PROJECT_ID/datasets/BackupandDR_reports --log-filter="logName=~\"$log_filter\"")
       if [ $? -eq 0 ]; then
         echo "Created a logsink BackupandDR_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 correct 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
   

4. Enregistrez le fichier avec un nom avec une extension de fichier Bash (.sh), par exemple script.sh.

5. Exécutez la commande bash à l'aide du fichier que vous venez de créer. Par exemple, bash script.sh.

   Vous pouvez voir l'ensemble de données créé dans BigQuery Studio.

Remarque :En règle générale, les entrées de journal sont visibles dans BigQuery en une minute. Toutefois, lorsqu'un collecteur est créé, il peut s'écouler jusqu'à 60 minutes avant que les données de journal ne soient disponibles dans BigQuery.

Configurer des rapports prédéfinis

Vous pouvez configurer des rapports prédéfinis en exécutant le script suivant dans l'ensemble de données où les journaux sont acheminés via le récepteur de journaux.

Le script ajoute les rapports prédéfinis suivants:

• Rapports sur les tâches de sauvegarde et de récupération
• Rapports quotidiens sur la conformité des horaires
• Rapports sur les ressources protégées
• Rapports sur l'utilisation des ressources de stockage
• Rapports sur les images montées
• Rapports sur les ressources non protégées
• Rapports sur les versions des connecteurs

Remarque :Selon la catégorie de journaux, les journaux sont générés à une fréquence comprise entre zéro et huit heures. Pour garantir l'exécution du script, nous vous recommandons de l'exécuter au moins huit heures après avoir créé le sink.

Pour configurer des rapports prédéfinis dans BigQuery, procédez comme suit:

gcloud

1. Accédez à Activer Cloud Shell, puis cliquez sur Ouvrir l'éditeur.
2. Créez un fichier texte.

3. Copiez et collez le script de rapports prédéfini suivant dans la Google Cloud CLI.

     backup_job_summary_query='WITH filtered_data AS (
     SELECT
     insertId,
     ANY_VALUE(jsonPayload) as jsonPayload,
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_backup_recovery_jobs_*`
     WHERE DATE(CASE WHEN jsonPayload.job_start_time = "" THEN jsonPayload.job_queued_time ELSE jsonPayload.job_start_time END) >= DATE_SUB(CURRENT_DATE(), INTERVAL 29 DAY) AND
     DATE(CASE WHEN jsonPayload.job_start_time = "" THEN jsonPayload.job_queued_time ELSE jsonPayload.job_start_time END) < CURRENT_DATE() + 1
     GROUP BY insertId
     )
     SELECT
     DATE(CASE WHEN jsonPayload.job_start_time = "" THEN jsonPayload.job_queued_time ELSE jsonPayload.job_start_time END) as Date,
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.job_type as Job_Type,
     COUNT(CASE WHEN jsonPayload.job_status = "succeeded" THEN 1 END)/COUNT(*) * 100 as Success_Percent,
     COUNT(*) as Total_Jobs,
     COUNT(CASE WHEN jsonPayload.job_status = "succeeded" THEN 1 END) as Succeeded,
     COUNT(CASE WHEN jsonPayload.job_status = "failed" THEN 1 END) as Failed,
     COUNT(CASE WHEN jsonPayload.job_status = "canceled" THEN 1 END) as Cancelled,
     COUNT(CASE WHEN jsonPayload.job_status = "notrun" THEN 1 END) as Not_Run,
     FROM filtered_data
     WHERE jsonPayload.job_category = "Backup Job" AND
     jsonPayload.job_status != "retry"
     GROUP BY Date, jsonPayload.job_type, jsonPayload.resource_id, jsonPayload.resource_name, jsonPayload.resource_type
     ORDER BY  Date, Resource_Name;'
   
     recovery_job_summary_query='WITH filtered_data AS (
     SELECT
     insertId,
     ANY_VALUE(jsonPayload) as jsonPayload,
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_backup_recovery_jobs_*`
     WHERE DATE(CASE WHEN jsonPayload.job_start_time = "" THEN jsonPayload.job_queued_time ELSE jsonPayload.job_start_time END) >= DATE_SUB(CURRENT_DATE(), INTERVAL 29 DAY) AND
     DATE(CASE WHEN jsonPayload.job_start_time = "" THEN jsonPayload.job_queued_time ELSE jsonPayload.job_start_time END) < CURRENT_DATE() + 1
     GROUP BY insertId
     )
     SELECT
     DATE(CASE WHEN jsonPayload.job_start_time = "" THEN jsonPayload.job_queued_time ELSE jsonPayload.job_start_time END) as Date,
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.job_type as Job_Type,
     COUNT(CASE WHEN jsonPayload.job_status = "succeeded" THEN 1 END)/COUNT(*) * 100 as Success_Percent,
     COUNT(*) as Total_Jobs,
     COUNT(CASE WHEN jsonPayload.job_status = "succeeded" THEN 1 END) as Succeeded,
     COUNT(CASE WHEN jsonPayload.job_status = "failed" THEN 1 END) as Failed,
     COUNT(CASE WHEN jsonPayload.job_status = "canceled" THEN 1 END) as Cancelled,
     COUNT(CASE WHEN jsonPayload.job_status = "notrun" THEN 1 END) as Not_Run,
     FROM filtered_data
     WHERE jsonPayload.job_category = "Recovery Job" AND
     jsonPayload.job_status != "retry"
     GROUP BY Date, jsonPayload.job_type, jsonPayload.resource_id, jsonPayload.resource_name, jsonPayload.resource_type
     ORDER BY Date, Resource_Name;'
   
     failed_job_query='WITH filtered_data AS (
     SELECT insertId, ANY_VALUE(jsonPayload) as jsonPayload
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_backup_recovery_jobs_*`
     GROUP BY insertId
     )
     SELECT
     jsonPayload.job_name as Job_Name,
     jsonPayload.job_category as Job_Category,
     jsonPayload.job_type as Job_Type,
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.error_code as Error_Code,
     jsonPayload.error_message as Error_Message,
     jsonPayload.hostname as Host_Name,
     jsonPayload.backup_rule_policy_name as Backup_Rule_Policy_Name,
     jsonPayload.backup_plan_policy_template as Backup_Plan_Policy_Template,
     jsonPayload.appliance_name as Appliance_Name,
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(jsonPayload.job_start_time)) as Job_Start_Time,
     DATE(jsonPayload.job_start_time) as Job_Date,
     jsonPayload.backup_type as Backup_Type
     FROM filtered_data
     WHERE
     jsonPayload.job_status = "failed"
     ORDER BY Job_Start_Time DESC, Resource_Name'
   
     job_details_query='WITH filtered_data AS (
     SELECT insertId, ANY_VALUE(jsonPayload) as jsonPayload
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_backup_recovery_jobs_*`
     GROUP BY insertId
     )
     SELECT
     jsonPayload.job_name as Job_Name,
     jsonPayload.job_category as Job_Category,
     jsonPayload.job_type as Job_Type,
     jsonPayload.log_backup as Log_Backup,
     jsonPayload.job_status as Job_Status,
     DATE(CASE WHEN jsonPayload.job_start_time = "" THEN jsonPayload.job_queued_time ELSE jsonPayload.job_start_time END) as Job_Date,
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.error_code as Error_Code,
     jsonPayload.error_message as Error_Message,
     jsonPayload.job_initiation_failure_reason as Job_Initiation_Failure_Reason,
     jsonPayload.appliance_name as Appliance_Name,
     jsonPayload.hostname as Host_Name,
     jsonPayload.target_appliance_name as Target_Appliance_Name,
     jsonPayload.target_pool_name as Target_Pool_Name,
     jsonPayload.target_host_name as Target_Host_Name,
     jsonPayload.backup_plan_policy_template as Backup_Plan_Policy_Template,
     jsonPayload.backup_rule_policy_name as Backup_Rule_Policy_Name,
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(CASE WHEN jsonPayload.job_queued_time !="" THEN jsonPayload.job_queued_time ELSE NULL END))  as Job_Queue_Time,
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(CASE WHEN jsonPayload.job_start_time!="" THEN jsonPayload.job_start_time ELSE NULL END))  as Job_Start_Time,
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(CASE WHEN jsonPayload.job_end_time!="" THEN jsonPayload.job_end_time ELSE NULL END))  as Job_End_Time,
     jsonPayload.job_duration_in_hours as Job_Duration_In_Hours,
     jsonPayload.backup_consistency as Backup_Consistency,
     jsonPayload.resource_data_size_in_gib as Resource_Data_Size_In_GiB,
     jsonPayload.snapshot_disk_size_in_gib as Snapshot_Disk_Size_in_GiB,
     jsonPayload.pre_compress_in_gib as Pre_Compress_In_GiB,
     jsonPayload.compression_ratio as Compression_Ratio,
     jsonPayload.data_sent_in_gib as Streamsnap_Data_Sent_In_GiB,
     jsonPayload.data_written_in_gib as Streamsnap_Data_Written_In_GiB,
     jsonPayload.data_copied_in_gib as Data_Copied_In_GiB,
     jsonPayload.data_change_rate as Data_Change_Rate_Percent,
     jsonPayload.backup_type as Backup_Type,
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(CASE WHEN jsonPayload.recovery_point!="" THEN jsonPayload.recovery_point ELSE NULL END))  as Recovery_Point,
     jsonPayload.onvault_pool_storage_consumed_in_gib as OnVault_Pool_Storage_Consumed_In_GiB,
     FROM filtered_data
     ORDER BY Job_Start_Time DESC, Resource_Name'
   
     unresolved_failures_query='WITH job_data AS (
     SELECT insertId, ANY_VALUE(jsonPayload) as jsonPayload
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_backup_recovery_jobs_*`
     WHERE
     jsonPayload.job_status in ("succeeded", "failed")
     GROUP BY insertId
     ),
     -- Select resources which have their latest status as failed
     unresolved_failed_resources AS (
     SELECT
     jsonPayload.appliance_name as Appliance_Name,
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.job_type as Job_Type,
     jsonPayload.job_status as Job_Status,
     jsonPayload.job_start_time as Job_Start_Time,
     jsonPayload.hostname as Hostname,
     jsonPayload.error_code as Error_Code,
     jsonPayload.error_message as Error_Message
     FROM job_data j1
     WHERE jsonPayload.job_start_time = (SELECT MAX(jsonPayload.job_start_time) FROM job_data j2 WHERE j1.jsonPayload.appliance_name = j2.jsonPayload.appliance_name AND j1.jsonPayload.resource_name = j2.jsonPayload.resource_name AND j1.jsonPayload.resource_type = j2.jsonPayload.resource_type AND j1.jsonPayload.job_type = j2.jsonPayload.job_type) AND
     jsonPayload.job_status = "failed"
     ),
     -- Select all jobs for all the resources that have unresolved failures
     all_jobs_of_unresolved_failure_resources AS (
     SELECT
     jsonPayload.appliance_name as Appliance_Name,
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.job_type as Job_Type,
     jsonPayload.job_category as Job_Category,
     jsonPayload.job_name as Job_Name,
     jsonPayload.recovery_point as Recovery_Point,
     jsonPayload.job_status as Job_Status,
     jsonPayload.job_start_time as Job_Start_Time,
     jsonPayload.hostname as Hostname,
     jsonPayload.error_code as Error_Code
     FROM job_data j1
     JOIN unresolved_failed_resources fr
     ON
     j1.jsonPayload.appliance_name = fr.Appliance_Name AND
     j1.jsonPayload.resource_name = fr.Resource_Name AND
     j1.jsonPayload.resource_type = fr.Resource_Type AND
     j1.jsonPayload.job_type = fr.Job_Type
     ),
     -- Select the latest successful jobs for the resources with unresolved failures
     latest_success AS (
     SELECT *
     FROM all_jobs_of_unresolved_failure_resources all_jobs
     WHERE
     all_jobs.Job_Status = "succeeded" AND
     all_jobs.Job_Start_Time = (
       SELECT MAX(Job_Start_Time) FROM
       all_jobs_of_unresolved_failure_resources all_jobs_2
       WHERE all_jobs_2.Appliance_Name = all_jobs.Appliance_Name AND
       all_jobs_2.Resource_Name = all_jobs.Resource_Name AND
       all_jobs_2.Resource_Type = all_jobs.Resource_Type AND
       all_jobs_2.Job_Type = all_jobs.Job_Type AND
       all_jobs_2.job_status = "succeeded"
       )
     ),
     -- Select all failed jobs after the last success for the resources with unresolved failures
     failed_jobs_to_report AS (
     SELECT
     all_jobs.Appliance_Name as Appliance_Name,
     all_jobs.Resource_Name as Resource_Name,
     all_jobs.Resource_Type as Resource_Type,
     all_jobs.Job_Type as Job_Type,
     all_jobs.Job_Name as Job_Name,
     all_jobs.Recovery_Point as Recovery_Point,
     all_jobs.Job_Status as Job_Status,
     all_jobs.Job_Start_Time as Job_Start_Time,
     all_jobs.Hostname as Hostname,
     all_jobs.Error_Code as Error_Code,
     all_jobs.Job_Category as Job_Category,
     FROM all_jobs_of_unresolved_failure_resources all_jobs
     LEFT JOIN latest_success success
     ON success.Appliance_Name = all_jobs.Appliance_Name AND
       success.Resource_Name = all_jobs.Resource_Name AND
       success.Resource_Type = all_jobs.Resource_Type AND
       success.Job_Type = all_jobs.Job_Type
     WHERE all_jobs.Job_Status = "failed" AND
     TIMESTAMP(all_jobs.Job_Start_Time) > COALESCE(TIMESTAMP(success.Job_Start_Time), TIMESTAMP(DATE_SUB(CURRENT_DATE(), INTERVAL 3 DAY)))
     )
     SELECT
     failed_jobs.Resource_Name,
     failed_jobs.Resource_Type,
     failed_jobs.Job_Type,
     failed_jobs.Job_Category,
     COUNT(*) as Error_Count,
     failed_jobs.Error_Code,
     ANY_VALUE(ufr.Error_Message) as Error_Message,
     FORMAT_TIMESTAMP("%F %R %Z", MIN(TIMESTAMP(failed_jobs.Job_Start_Time))) as First_Failure,
     FORMAT_TIMESTAMP("%F %R %Z", MAX(TIMESTAMP(failed_jobs.Job_Start_Time))) as Last_Failure,
     TIMESTAMP_DIFF(CURRENT_TIMESTAMP,TIMESTAMP(MAX(failed_jobs.Job_Start_Time)), HOUR) as Hours_Since_Last_Failure,
     failed_jobs.Appliance_Name
     FROM failed_jobs_to_report failed_jobs
     LEFT JOIN unresolved_failed_resources ufr
     ON failed_jobs.Appliance_Name = ufr.Appliance_Name AND
       failed_jobs.Resource_Name = ufr.Resource_Name AND
       failed_jobs.Resource_Type = ufr.Resource_Type AND
       failed_jobs.Job_Type = ufr.Job_Type AND
       failed_jobs.Error_Code = ufr.Error_Code
     GROUP BY Appliance_Name, Resource_Name, Resource_Type, Job_Type, Job_Category, Error_Code
     ORDER BY Last_Failure DESC
     '
     daily_schedule_compliance_query='WITH filtered_data AS (
     SELECT
     insertId,
     ANY_VALUE(jsonPayload) as jsonPayload,
     ANY_VALUE(timestamp) as Report_Timestamp
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_daily_schedule_compliance_*`
     WHERE DATE(jsonPayload.date) >= DATE_SUB(CURRENT_DATE(), INTERVAL 8 DAY) AND
     DATE(jsonPayload.date) < CURRENT_DATE() + 1
     GROUP BY insertId
     )
     SELECT
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.backup_rule_policy_name as Backup_Rule_Policy_Name,
     jsonPayload.backup_plan_policy_template as Backup_Plan_Policy_Template,
     DATE(jsonPayload.date) as Date,
     jsonPayload.backup_window_start_time as Backup_Window_Start_Time,
     jsonPayload.job_type as Job_Type,
     jsonPayload.status as Status,
     jsonPayload.comment as Comment,
     jsonPayload.appliance_name as Appliance_Name,
     jsonPayload.host_name as Host_Name
     FROM filtered_data f1
     WHERE Report_Timestamp = (SELECT MAX(Report_Timestamp) FROM filtered_data f2 WHERE f2.jsonPayload.appliance_id = f1.jsonPayload.appliance_id)
     ORDER BY Resource_Name, Date;
     '
     protected_data_resource_query='WITH filtered_data AS (
     SELECT
     insertId,
     ANY_VALUE(jsonPayload) as jsonPayload,
     ANY_VALUE(timestamp) as Report_Timestamp
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_protected_resource_*`
     GROUP BY insertId
     )
     SELECT
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(Report_Timestamp)) as Last_updated_on,
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.host_name as Host_Name,
     jsonPayload.backup_plan_policy_template as Backup_Plan_Policy_Template,
     jsonPayload.protected_on as Protected_On,
     jsonPayload.recovery_point as Recovery_Point,
     jsonPayload.protected_data_in_gib as Protected_Data_in_Gib,
     jsonPayload.onvault_in_gib as OnVault_Data_in_Gib,
     jsonPayload.backup_plan_restrictions as Backup_Plan_Restrictions,
     jsonPayload.backup_inclusion_or_exclusion as Backup_Inclusion_or_Exclusion,
     jsonPayload.policy_overrides as Policy_Overrides,
     jsonPayload.appliance_name as Appliance_Name,
     jsonPayload.remote_appliance as Remote_Appliance,
     jsonPayload.source_appliance as Source_Appliance,
     FROM filtered_data f1
     WHERE Report_Timestamp = (SELECT MAX(Report_Timestamp) FROM filtered_data f2 WHERE f2.jsonPayload.appliance_id = f1.jsonPayload.appliance_id)
     ORDER BY Resource_Name;'
   
     storage_utilization_query='WITH filtered_data AS (
     SELECT
     insertId,
     ANY_VALUE(jsonPayload) as jsonPayload,
     ANY_VALUE(timestamp) as Report_Timestamp
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_backup_storage_utilization_*`
     GROUP BY insertId
     )
     SELECT
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(Report_Timestamp)) as Last_updated_on,
     jsonPayload.appliance_name as Appliance_Name,
     jsonPayload.pool_name as Pool_Name,
     jsonPayload.storage_type as Storage_Type,
     jsonPayload.total_capacity_in_gib as Total_Capacity_In_GiB,
     jsonPayload.used_capacity_in_gib as Used_Capacity_In_GiB,
     jsonPayload.utilization_percentage as Utilization_percentage,
     jsonPayload.appliance_id as Appliance_id,
     FROM filtered_data f1
     WHERE Report_Timestamp = (SELECT MAX(Report_Timestamp) FROM filtered_data f2 WHERE f2.jsonPayload.appliance_id = f1.jsonPayload.appliance_id)
     ORDER BY Appliance_Name;'
   
     mounted_image_query='WITH filtered_data AS (
     SELECT
     insertId,
     ANY_VALUE(jsonPayload) as jsonPayload,
     ANY_VALUE(timestamp) as Report_Timestamp
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_mounted_images_*`
     GROUP BY insertId
     )
     SELECT
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(Report_Timestamp)) as Last_updated_on,
     jsonPayload.source_resource_name as Source_Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.appliance_name as Appliance_Name,
     jsonPayload.mounted_image_name as Mounted_Image_Name,
     jsonPayload.source_image_name as Source_Image_Name,
     jsonPayload.source_image_type as Source_Image_Type,
     jsonPayload.recovery_point_date as Recovery_Point_Date,
     jsonPayload.last_mount_date as Last_Mount_Date,
     jsonPayload.source_host_name as Source_Host_Name,
     jsonPayload.mounted_host_name as Mounted_Host_Name,
     jsonPayload.mounted_resource_name as Mounted_Resource_Name,
     jsonPayload.resource_virtual_size_in_gib as Resource_Virtual_Size_In_Gib,
     jsonPayload.storage_consumed_in_gib as Storage_Consumed_In_Gib,
     jsonPayload.mounted_resource_label as Mounted_Resource_Label,
     jsonPayload.restorable_object as Restorable_Object,
     jsonPayload.mounted_image_age_in_days as Mounted_Image_Age_In_Days,
     jsonPayload.user_name as User_Name,
     jsonPayload.read_mode as Read_Mode,
     jsonPayload.resource_size_in_gib as Resource_Size_In_Gib,
     jsonPayload.source_image_expiration_date as Source_Image_Expiration_Date,
     FROM filtered_data f1
     WHERE Report_Timestamp = (SELECT MAX(Report_Timestamp) FROM filtered_data f2 WHERE f2.jsonPayload.appliance_id = f1.jsonPayload.appliance_id)
     ORDER BY Mounted_Resource_Name;'
   
     unprotected_resource_query='WITH filtered_data AS (
     SELECT
     insertId,
     ANY_VALUE(jsonPayload) as jsonPayload,
     ANY_VALUE(timestamp) as Report_Timestamp
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_unprotected_resource_*`
     GROUP BY insertId
     )
     SELECT
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(Report_Timestamp)) as Last_updated_on,
     jsonPayload.resource_name as Resource_Name,
     jsonPayload.resource_type as Resource_Type,
     jsonPayload.host_name as Host_Name,
     jsonPayload.instance_name as Instance_Name,
     jsonPayload.discovered_on as Discovered_On,
     jsonPayload.discovered_by as Discovery_Appliance,
     FROM filtered_data f1
     WHERE Report_Timestamp = (SELECT MAX(Report_Timestamp) FROM filtered_data f2 WHERE f2.jsonPayload.appliance_id = f1.jsonPayload.appliance_id)
     ORDER BY Resource_Name;'
   
     connector_version_query='WITH filtered_data AS (
     SELECT
     insertId,
     ANY_VALUE(jsonPayload) as jsonPayload,
     ANY_VALUE(timestamp) as Report_Timestamp
     FROM `PROJECT_ID.DATASET_NAME.backupdr_googleapis_com_gcb_connector_version_*`
     GROUP BY insertId
     )
     SELECT
     FORMAT_TIMESTAMP("%F %R %Z", TIMESTAMP(Report_Timestamp)) as Last_updated_on,
     jsonPayload.appliance_name as Appliance_Name,
     jsonPayload.host_name as Host_Name,
     jsonPayload.host_os_type as Host_OS_Type,
     jsonPayload.host_ip_address as Host_IP_Address,
     jsonPayload.db_authentication as DB_Authentication,
     jsonPayload.installed_version as Installed_Version,
     jsonPayload.available_version as Available_Version,
     jsonPayload.version_check as Version_Check,
     jsonPayload.disk_preference as Disk_Preference,
     jsonPayload.transport as Transport,
     FROM filtered_data f1
     WHERE Report_Timestamp = (SELECT MAX(Report_Timestamp) FROM filtered_data f2 WHERE f2.jsonPayload.appliance_id = f1.jsonPayload.appliance_id)
     ORDER BY Host_Name;'
   
     table_not_exists_error_flag=false
     check_table=$(bq query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from DATASET_NAME.INFORMATION_SCHEMA.TABLES WHERE table_name like '%backupdr_googleapis_com_gcb_backup_recovery_jobs%'" | tail -n +2 | tr -d ' ')
     if [ $check_table == 'true' ]; then
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$backup_job_summary_query" DATASET_NAME.'Backup Jobs Summary')
   
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$backup_job_summary_query" DATASET_NAME.'Backup Jobs Summary'
     else
     echo $result
     fi
   
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$recovery_job_summary_query" DATASET_NAME.'Recovery Jobs Summary')
   
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$recovery_job_summary_query" DATASET_NAME.'Recovery Jobs Summary'
     else
     echo $result
     fi
   
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$failed_job_query" DATASET_NAME.'Failed Jobs')
   
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$failed_job_query" DATASET_NAME.'Failed Jobs'
     else
     echo $result
     fi
   
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$job_details_query" DATASET_NAME.'Job Details')
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$job_details_query" DATASET_NAME.'Job Details'
     else
     echo $result
     fi
   
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$unresolved_failures_query" DATASET_NAME.'Unresolved Failures')
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$unresolved_failures_query" DATASET_NAME.'Unresolved Failures'
     else
     echo $result
     fi
   
     else
     echo "The table backupdr_googleapis_com_gcb_backup_recovery_jobs does not exist in the dataset DATASET_NAME."
     table_not_exists_error_flag=true
     fi
   
     check_table=$(bq query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from DATASET_NAME.INFORMATION_SCHEMA.TABLES WHERE table_name like '%backupdr_googleapis_com_gcb_daily_schedule_compliance%'" | tail -n +2 | tr -d ' ')
     if [ $check_table == 'true' ]; then
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$daily_schedule_compliance_query" DATASET_NAME.'Daily Schedule Compliance')
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$daily_schedule_compliance_query" DATASET_NAME.'Daily Schedule Compliance'
     else
     echo $result
     fi
     else
     echo "The table backupdr_googleapis_com_gcb_daily_schedule_compliance does not exist in the dataset DATASET_NAME."
     table_not_exists_error_flag=true
     fi
   
     check_table=$(bq query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from DATASET_NAME.INFORMATION_SCHEMA.TABLES WHERE table_name like '%backupdr_googleapis_com_gcb_protected_resource%'" | tail -n +2 | tr -d ' ')
     if [ $check_table == 'true' ]; then
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$protected_data_resource_query" DATASET_NAME.'Protected Data Resource')
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$protected_data_resource_query" DATASET_NAME.'Protected Data Resource'
     else
     echo $result
     fi
     else
     echo "The table backupdr_googleapis_com_gcb_protected_resource does not exist in the dataset DATASET_NAME."
     table_not_exists_error_flag=true
     fi
   
     check_table=$(bq query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from DATASET_NAME.INFORMATION_SCHEMA.TABLES WHERE table_name like '%backupdr_googleapis_com_gcb_backup_storage_utilization%'" | tail -n +2 | tr -d ' ')
     if [ $check_table == 'true' ]; then
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$storage_utilization_query" DATASET_NAME.'Storage Resource Utilization')
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$storage_utilization_query" DATASET_NAME.'Storage Resource Utilization'
     else
     echo $result
     fi
     else
     echo "The table backupdr_googleapis_com_gcb_backup_storage_utilization does not exist in the dataset DATASET_NAME."
     table_not_exists_error_flag=true
     fi
     check_table=$(bq query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from DATASET_NAME.INFORMATION_SCHEMA.TABLES WHERE table_name like '%backupdr_googleapis_com_gcb_unprotected_resource%'" | tail -n +2 | tr -d ' ')
     if [ $check_table == 'true' ]; then
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$unprotected_resource_query" DATASET_NAME.'Unprotected Resource')
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$unprotected_resource_query" DATASET_NAME.'Unprotected Resource'
     else
     echo $result
     fi
     else
     echo "The table backupdr_googleapis_com_gcb_unprotected_resource does not exist in the dataset DATASET_NAME."
     table_not_exists_error_flag=true
     fi
   
     check_table=$(bq query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from DATASET_NAME.INFORMATION_SCHEMA.TABLES WHERE table_name like '%backupdr_googleapis_com_gcb_mounted_images%'" | tail -n +2 | tr -d ' ')
     if [ $check_table == 'true' ]; then
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$mounted_image_query" DATASET_NAME.'Mounted Image Details')
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$mounted_image_query" DATASET_NAME.'Mounted Image Details'
     else
     echo $result
     fi
     else
     echo "The table backupdr_googleapis_com_gcb_mounted_images does not exist in the dataset DATASET_NAME."
     table_not_exists_error_flag=true
     fi
   
     check_table=$(bq query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from DATASET_NAME.INFORMATION_SCHEMA.TABLES WHERE table_name like '%backupdr_googleapis_com_gcb_connector_version%'" | tail -n +2 | tr -d ' ')
     if [ $check_table == 'true' ]; then
     result=$(bq update --use_legacy_sql=false --expiration 0 --view "$connector_version_query" DATASET_NAME.'Connector Version Details')
     if [ $? -ne 0 ]; then
     bq mk --use_legacy_sql=false --expiration 0 --view "$connector_version_query" DATASET_NAME.'Connector Version Details'
     else
     echo $result
     fi
     else
     echo "The table backupdr_googleapis_com_gcb_connector_version does not exist in the dataset DATASET_NAME."
     table_not_exists_error_flag=true
     fi
   
     if [ $table_not_exists_error_flag == true ]; 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_NAME."
     echo -e "Please ensure that you have waited for at least 8 hours after creating the sink, 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"
     fi
   
     # Check if view exists
     check_view=$(bq --project_id PROJECT_ID query --format=csv --use_legacy_sql=false "Select COUNT(*)>0 from DATASET_NAME.INFORMATION_SCHEMA.VIEWS WHERE table_name='Storage Resource Utilization'" | tail -n +2 | tr -d ' ')
     if [ "$check_view" == 'true' ]; then
       # Check if view is working correctly
       fetch_result=$(bq query --format=csv --use_legacy_sql=false "SELECT COUNT(*) FROM \`DATASET_NAME.Storage Resource Utilization\`" 2>&1)
       if [[ $? -eq 0 ]]; then
           echo -e "\e[1m\e[33mTo fix a schema related error in the Backup Storage Utilization view, we updated the software on June 3rd, 2024. As part of the fix, storage utilization data before June 3rd 2024, will be no longer available in the report.\e[0m"
           echo -e "Deleting the data before June 3rd 2024..."
           start_date="20240301"
           end_date="20240603"
           current_date="$start_date"
           while [ "$current_date" -le "$end_date" ]; do
               table_name="DATASET_NAME.backupdr_googleapis_com_gcb_backup_storage_utilization_${current_date}"
               bq rm -f -t "$table_name"
               current_date=$(date -d "$(date -d "$current_date" +%Y-%m-%d) + 1 day" +%Y%m%d)
           done
           echo -e "Completed successfully."
       fi
     fi
   
   

   Remplacez les éléments suivants :

   • PROJECT_ID : nom de votre projet.
   • DATASET_NAME: nom de votre ensemble de données BigQuery. Nous vous recommandons de définir le nom de l'ensemble de données BigQuery pour les rapports du service de sauvegarde et de reprise après sinistre sur le nom d'ensemble de données par défaut, à savoir BackupandDR_reports. Si vous avez défini un nom différent du nom de l'ensemble de données par défaut lors de la création du collecteur, modifiez le nom de l'ensemble de données pour qu'il corresponde à votre ensemble de données BigQuery.

4. Enregistrez le fichier avec un nom avec une extension de fichier Bash (.sh), par exemple backupdrreports.sh.

5. Exécutez la commande bash à l'aide du fichier que vous venez de créer. Par exemple, bash backupdrreports.sh.

   Vous pouvez afficher les rapports prédéfinis sous l'ensemble de données dans BigQuery Studio.

Une fois que vous avez configuré des rapports prédéfinis, si vous avez accès à Google Workspace, vous pouvez afficher les résultats dans des feuilles de calcul Google connectées. Si vous n'avez pas accès à Google Workspace, vous pouvez consulter les rapports dans Looker Studio ou télécharger des rapports prédéfinis dans un fichier CSV.

Tarifs

L'affichage de rapports prédéfinis dans BigQuery peut vous être facturé. Ces frais sont basés sur le volume de données de reporting qui sont diffusées, stockées et interrogées dans BigQuery. Pour en savoir plus, consultez la section Tarifs.

Étape suivante

• Découvrez comment écrire des requêtes personnalisées dans BigQuery.
• Découvrez comment afficher des rapports prédéfinis dans les feuilles connectées Google.
• Découvrez comment consulter des rapports prédéfinis dans Looker.