Configurar relatórios pré-criados no BigQuery

Esta página explica como configurar e acessar relatórios predefinidos no BigQuery. Esses relatórios são criados usando registros do Cloud Logging. Para configurar relatórios, você precisa fazer uma atividade única de criação de um sink de registro para transmitir dados de registro para o BigQuery e, em seguida, executar o script pré-criado.

Papel do IAM obrigatório

As permissões do IAM a seguir são necessárias para visualizar relatórios predefinidos no BigQuery. Saiba como conceder um papel do IAM.

Papel	Quando conceder o papel
Logs Configuration Writer (roles/logging.configWriter) ou Logging Admin (roles/logging.admin) e BigQuery Data Editor (roles/bigquery.dataEditor)	Para criar um conjunto de dados do BigQuery e um sink no console do Google Cloud .
Proprietário (roles/owner)	Para criar um coletor e um conjunto de dados do BigQuery usando a Google Cloud CLI.
Administrador do BigQuery (bigquery.admin)	Para escrever consultas personalizadas ou fazer o download delas.

Criar um coletor e encaminhar registros para o BigQuery

O BigQuery armazena apenas os registros gerados após a criação de um coletor de registros. Os registros gerados antes da criação de um coletor de registros não ficam visíveis no BigQuery. É possível criar o coletor de registros no console do Google Cloud ou na Google Cloud CLI.

Para criar registros de coletor e rota no BigQuery, faça o seguinte:

Console

1. No console do Google Cloud , acesse a página Roteador de registros:

   Acessar a página do roteador de registros

2. Selecione um projeto do Google Cloud .
3. Clique em Criar coletor.
4. No painel Detalhes do coletor, insira os seguintes campos:
   1. Nome do coletor: insira o nome do coletor como BackupandDR_reports_sink. Use o nome do sink BackupandDR_reports_sink para identificar relatórios de backup e DR de outros sinks.
   2. Descrição do coletor: descreva a finalidade ou o caso de uso do coletor.

5. No painel Destino do coletor, faça o seguinte:

   1. No menu Selecionar serviço do coletor, escolha o serviço do coletor Conjunto de dados do BigQuery.
   2. Em Selecionar conjunto de dados do BigQuery, selecione Criar novo conjunto de dados do BigQuery.
   3. Na página Criar conjunto de dados, faça o seguinte:
      1. Em ID do conjunto de dados, insira o nome do conjunto de dados como BackupandDR_reports para identificar outros conjuntos de dados. Não mude o nome do conjunto de dados de BackupandDR_reports.
      2. Em Tipo de local, escolha um local geográfico para o conjunto de dados. Após a criação de um conjunto de dados, o local não pode ser alterado.
      3. Opcional: se você quer que as tabelas neste conjunto de dados expirem, selecione Ativar expiração da tabela e especifique a Idade máxima padrão da tabela em dias.
      4. Clique em Criar conjunto de dados.

6. No painel Escolher registros a serem incluídos no coletor, faça o seguinte:

   1. No campo Criar inclusão de filtro, insira a expressão de filtro a seguir que corresponda às entradas de registro que você quer incluir.

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

   2. Para conferir se você inseriu o filtro correto, selecione Visualizar registros. Isso abre o Explorador de registros em uma nova guia com o filtro pré-preenchido.

7. Opcional: no painel Escolher registros para filtrar do coletor, faça o seguinte:

   1. No campo Nome do filtro de exclusão, insira um nome.

   2. No campo Criar um filtro de exclusão, insira uma expressão de filtro que corresponda às entradas de registro que você quer excluir. Também é possível usar a função de amostra para selecionar uma parte das entradas de registro a serem excluídas.

      Observação: se você quiser que o filtro de exclusão seja desativado quando o coletor for criado, selecione Desativar depois de inserir a expressão de filtro. É possível atualizar o coletor mais tarde para ativar o filtro de exclusão.

8. Selecione Criar coletor.

   O conjunto de dados pode ser encontrado no BigQuery Studio.

gcloud

1. Acesse Ativar o Cloud Shell e clique em Abrir editor.
2. Clique no ícone , selecione File e New text file.

3. Copie e cole o script a seguir.

     #!/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. Salve o arquivo com um nome com uma extensão de arquivo Bash (.sh), por exemplo, script.sh.

5. Execute o comando bash usando o arquivo que você acabou de criar. Por exemplo, bash script.sh

   O conjunto de dados criado pode ser encontrado no BigQuery Studio.

Observação: normalmente, as entradas de registro ficam visíveis no BigQuery em um minuto. No entanto, quando um coletor é criado, pode levar até 60 minutos para que os dados de registro fiquem disponíveis no BigQuery.

Configurar relatórios predefinidos

É possível configurar relatórios pré-criados executando o script a seguir no conjunto de dados em que os registros estão sendo roteados pelo coletor de registros.

O script adiciona os seguintes relatórios predefinidos:

• Relatórios de jobs de backup e recuperação
• Relatórios de compliance da programação diária
• Relatórios de recursos protegidos
• Relatórios de uso de recursos de armazenamento
• Relatórios de imagem montada
• Relatórios de recursos não protegidos
• Relatórios de versão do conector

Observação: dependendo da categoria, os registros são gerados com uma frequência de zero a oito horas. Para garantir a execução do script, é recomendável que você o execute pelo menos oito horas após a criação da sink.

Para configurar relatórios predefinidos no BigQuery, faça o seguinte:

gcloud

1. Acesse Ativar o Cloud Shell e clique em Abrir editor.
2. Crie um novo arquivo de texto.

3. Copie e cole o script de relatórios pré-criados abaixo na 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
   
   

   Substitua:

   • PROJECT_ID: o nome do projeto.
   • DATASET_NAME: o nome do conjunto de dados do BigQuery. Recomendamos que você defina o nome do conjunto de dados do BigQuery para relatórios do serviço de backup e DR como o nome padrão, que é BackupandDR_reports. Se você definiu um nome diferente do nome do conjunto de dados padrão ao criar a sink, mude o nome do conjunto de dados para corresponder ao conjunto de dados do BigQuery.

4. Salve o arquivo com um nome com uma extensão de arquivo Bash (.sh), por exemplo, backupdrreports.sh.

5. Execute o comando bash usando o arquivo que você acabou de criar. Por exemplo, bash backupdrreports.sh

   Os relatórios pré-criados estão disponíveis no conjunto de dados do BigQuery Studio.

Depois de configurar relatórios predefinidos, se você tiver acesso ao Google Workspace, poderá acessar os resultados nas planilhas conectadas do Google. Se você não tiver acesso ao Google Workspace, consulte os relatórios no Looker Studio ou faça o download de relatórios predefinidos em um arquivo CSV.

Preços

Você pode receber cobranças por visualizar relatórios pré-criados no BigQuery. Essas cobranças são baseadas no volume de dados de relatórios que são transmitidos, armazenados e consultados no BigQuery. Para mais detalhes, consulte Preços.

A seguir

• Saiba como escrever consultas personalizadas no BigQuery
• Saiba como acessar relatórios predefinidos nas páginas conectadas do Google.
• Saiba como acessar relatórios pré-criados no Looker.