Configurar relatórios pré-criados no BigQuery para backups no cofre

Esta página explica como configurar e visualizar relatórios predefinidos no BigQuery para recursos protegidos usando planos de backup.

Para configurar relatórios, você precisa realizar uma atividade única de criação de um sink de registro para transmitir dados de registro para o BigQuery e executar o script pré-criado. Se você quiser configurar e visualizar relatórios pré-criados no BigQuery para os recursos que são protegidos usando o modelo de backup no console de gerenciamento, consulte Configurar relatórios pré-criados no BigQuery.

Papel do IAM obrigatório

As seguintes permissões do IAM são necessárias para visualizar relatórios pré-criados no BigQuery para backups armazenados. 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 coletor e um conjunto de dados do BigQuery 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.

Crie um coletor de registros e direcione-o para o BigQuery para backups armazenados

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 para backups no cofre, 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 bdr_report_sink. Use o nome do sink bdr_report_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 seguinte expressão de filtro que corresponde 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 $PROJECT_ID"
       else
         echo "For logs to be available in BigQuery, we need to enable BigQuery service in the project if not done already. This might mean additional costs incurred. Please check the associated costs before proceeding."
         read -p "Do you want to continue(Y/N)?" continue
         if [ "$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. Salve o arquivo com um nome com uma extensão de arquivo Bash, 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 para backups no Vault

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 backup e restauração de trabalhos para backups em vaults
• Relatórios de recursos protegidos para backups em vaults
• Relatórios de consumo do backup vault para backups em vaults
• Relatórios de conformidade da programação diária para backups no cofre

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 pré-criados no BigQuery para backups no cofre, faça o seguinte:

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 de relatórios pré-criados abaixo na 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. Salve o arquivo com um nome com uma extensão de arquivo Bash, 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, você pode visualizar os relatórios no Looker Studio ou fazer o download de relatórios predefinidos em um arquivo CSV.

A seguir

• Saiba como escrever consultas personalizadas no BigQuery
• Saiba como acessar relatórios predefinidos nas planilhas conectadas do Google para backups no cofre.
• Saiba como acessar relatórios pré-criados no Looker para backups em vaults.