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Utilizza il modello di flusso delle modifiche di Bigtable a BigQuery
In questa guida rapida imparerai a configurare una tabella Bigtable con un flusso di modifiche abilitato, eseguire una pipeline di flussi di modifiche, apportare modifiche alla tabella e visualizzare lo streaming delle modifiche.
Prima di iniziare
In the Google Cloud console, on the project selector page,
select or create a Google Cloud project.
Fai clic sull'ID dell'istanza che utilizzi per questa guida rapida.
Se non hai un'istanza disponibile, creane una con le configurazioni predefinite in una regione vicina.
Nel riquadro di navigazione a sinistra, fai clic su Tabelle.
Fai clic su Crea una tabella.
Assegna un nome alla tabella bigquery-changestream-quickstart.
Aggiungi una famiglia di colonne denominata cf.
Seleziona Abilita flusso di modifiche.
Fai clic su Crea.
Nella pagina Tabelle di Bigtable, trova la tua tabella
bigquery-changestream-quickstart.
Nella colonna Stream di modifiche, fai clic su Connetti.
Nella finestra di dialogo, seleziona BigQuery.
Fai clic su Crea job Dataflow.
Nei campi dei parametri forniti, inserisci i valori dei parametri. Non devi
fornire parametri facoltativi.
Imposta l'ID profilo dell'applicazione Bigtable su default.
Imposta il set di dati BigQuery su
bigtable_bigquery_quickstart.
Fai clic su Esegui job.
Attendi che lo stato del job sia Avvio o In esecuzione prima di procedere.
Una volta messo in coda, il job richiede circa 5 minuti.
Mantieni il job aperto in una scheda, in modo da poterlo arrestare durante la pulizia
delle risorse.
Scrivere alcuni dati in Bigtable
In Cloud Shell, scrivi alcune righe in Bigtable in modo che il
log delle modifiche possa scrivere alcuni dati in BigQuery. Se scrivi i dati dopo la creazione del job, le modifiche vengono visualizzate. Non devi
attendere che lo stato del job diventi running.
[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Difficile da capire","hardToUnderstand","thumb-down"],["Informazioni o codice di esempio errati","incorrectInformationOrSampleCode","thumb-down"],["Mancano le informazioni o gli esempi di cui ho bisogno","missingTheInformationSamplesINeed","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-09-04 UTC."],[[["\u003cp\u003eThis quickstart guides you through setting up a Bigtable table with change stream enabled, running a change stream pipeline, and observing streamed changes in BigQuery.\u003c/p\u003e\n"],["\u003cp\u003eBefore starting, ensure you have a Google Cloud project with billing enabled and that the Dataflow, Cloud Bigtable API, Cloud Bigtable Admin API, and BigQuery APIs are enabled.\u003c/p\u003e\n"],["\u003cp\u003eYou will create a BigQuery dataset named \u003ccode\u003ebigtable_bigquery_quickstart\u003c/code\u003e and a Bigtable table named \u003ccode\u003ebigquery-changestream-quickstart\u003c/code\u003e with a change stream enabled, and connect it to a BigQuery Dataflow job.\u003c/p\u003e\n"],["\u003cp\u003eThe process includes writing data to the Bigtable, viewing the change logs in BigQuery, and then cleaning up the resources by disabling the change stream, deleting the table and dataset, and stopping the change stream pipeline.\u003c/p\u003e\n"],["\u003cp\u003eAfter completing this tutorial, you can further learn how to write queries for the change log and refer to the Bigtable change stream to BigQuery template reference page.\u003c/p\u003e\n"]]],[],null,["# Quickstart: Stream changes to BigQuery using a Dataflow template\n\nUse the Bigtable change stream to BigQuery template\n===================================================\n\nIn this quickstart, you learn how to set up a Bigtable table with a change stream enabled, run a\nchange stream pipeline, make changes to your table, and then see the changes\nstreamed.\n\nBefore you begin\n----------------\n\n1. In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n2.\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n3.\n\n\n Enable the Dataflow, Cloud Bigtable API, Cloud Bigtable Admin API, and BigQuery APIs.\n\n\n [Enable the APIs](https://console.cloud.google.com/flows/enableapi?apiid=dataflow.googleapis.com,bigtable.googleapis.com,bigtableadmin.googleapis.com,bigquery.googleapis.com)\n4. In the Google Cloud console, activate Cloud Shell.\n\n [Activate Cloud Shell](https://console.cloud.google.com/?cloudshell=true)\n\nCreate a BigQuery dataset\n-------------------------\n\nUse the Google Cloud console to create a dataset that stores the data.\n\n1. In the Google Cloud console, go to the BigQuery page.\n\n [Go to BigQuery](https://console.cloud.google.com/bigquery)\n2. In the **Explorer** pane, click your project name.\n\n3. Expand the more_vert **Actions** option and click **Create dataset**.\n\n4. On the **Create dataset** page, do the following:\n\n 1. For **Dataset ID** , enter `bigtable_bigquery_quickstart`.\n 2. Leave the remaining default settings as they are, and click **Create dataset**.\n\nCreate a table with a change stream enabled\n-------------------------------------------\n\n1. In the Google Cloud console, go to the Bigtable **Instances** page.\n\n [Go to Instances](https://console.cloud.google.com/bigtable/instances)\n2. Click the ID of the instance that you are using for this quickstart.\n\n If you don't have an instance available, [create an instance](/bigtable/docs/creating-instance) with the default\n configurations in a region near you.\n3. In the left navigation pane, click **Tables**.\n\n4. Click **Create a table**.\n\n5. Name the table `bigquery-changestream-quickstart`.\n\n6. Add a column family named `cf`.\n\n7. Select **Enable change stream**.\n\n8. Click **Create**.\n\n9. On the Bigtable **Tables** page, find your table\n `bigquery-changestream-quickstart`.\n\n10. In the **Change stream** column, click **Connect**.\n\n11. In the dialog, select **BigQuery**.\n\n12. Click **Create Dataflow job**.\n\n13. In the provided parameter fields, enter your parameter values. You don't\n need to provide any optional parameters.\n\n 1. Set the Bigtable application profile ID to `default`.\n 2. Set the BigQuery dataset to `bigtable_bigquery_quickstart`.\n14. Click **Run job**.\n\n15. Wait until the job status is **Starting** or **Running** before proceeding.\n It takes around 5 minutes once the job is queued.\n\n16. Keep the job open in a tab, so you can stop the job when cleaning up\n your resources.\n\nWrite some data to Bigtable\n---------------------------\n\n1. In the Cloud Shell, write a few rows to Bigtable so the\n change log can write some data to BigQuery. As long as you write\n the data after the job is created, the changes appear. You don't have to\n wait for the job status to become `running`.\n\n **Note:** To install cbt CLI if not already installed, see [Install the cbt CLI](/bigtable/docs/cbt-overview#installing). \n\n cbt -instance=\u003cvar translate=\"no\"\u003eBIGTABLE_INSTANCE_ID\u003c/var\u003e -project=\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e \\\n set bigquery-changestream-quickstart user123 cf:col1=abc\n cbt -instance=\u003cvar translate=\"no\"\u003eBIGTABLE_INSTANCE_ID\u003c/var\u003e -project=\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e \\\n set bigquery-changestream-quickstart user546 cf:col1=def\n cbt -instance=\u003cvar translate=\"no\"\u003eBIGTABLE_INSTANCE_ID\u003c/var\u003e -project=\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e \\\n set bigquery-changestream-quickstart user789 cf:col1=ghi\n\n Replace the following:\n - \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: the ID of the project that you are using\n - \u003cvar translate=\"no\"\u003eBIGTABLE_INSTANCE_ID\u003c/var\u003e: the ID of the instance that contains the `bigquery-changestream-quickstart` table\n\nView the change logs in BigQuery\n--------------------------------\n\n1. In the Google Cloud console, go to the **BigQuery** page.\n\n [Go to BigQuery](https://console.cloud.google.com/bigquery)\n2. In the **Explorer** pane, expand your project and the dataset\n `bigtable_bigquery_quickstart`.\n\n3. Click the table `bigquery-changestream-quickstart_changelog`.\n\n4. To see the change log, click **Preview**.\n\nClean up\n--------\n\n\nTo avoid incurring charges to your Google Cloud account for\nthe resources used on this page, follow these steps.\n\n1. Disable the change stream on the table:\n\n gcloud bigtable instances tables update bigquery-changestream-quickstart \\\n --project=\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e --instance=\u003cvar translate=\"no\"\u003eBIGTABLE_INSTANCE_ID\u003c/var\u003e \\\n --clear-change-stream-retention-period\n\n2. Delete the table `bigquery-changestream-quickstart`:\n\n cbt --instance=\u003cvar translate=\"no\"\u003eBIGTABLE_INSTANCE_ID\u003c/var\u003e --project=\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e deletetable bigquery-changestream-quickstart\n\n3. Stop the change stream pipeline:\n\n 1. In the Google Cloud console, go to the Dataflow **Jobs**\n page.\n\n [Go to Jobs](https://console.cloud.google.com/dataflow/jobs)\n 2. Select your streaming job from the job list.\n\n 3. In the navigation, click **Stop**.\n\n 4. In the **Stop job** dialog, select **Cancel** , and then click **Stop\n job.**\n\n4. Delete the BigQuery dataset:\n\n 1. In the Google Cloud console, go to the BigQuery page.\n\n [Go to BigQuery](https://console.cloud.google.com/bigquery)\n 2. In the **Explorer** panel, find the dataset `bigtable_bigquery_quickstart` and click it.\n\n 3. Click **Delete** , type `delete`, and then click **Delete** to confirm.\n\n5. Optional: Delete the instance if you created a new one for this quickstart:\n\n cbt deleteinstance \u003cvar translate=\"no\"\u003eBIGTABLE_INSTANCE_ID\u003c/var\u003e\n\nWhat's next\n-----------\n\n- [Learn how to write queries for the change log.](/bigtable/docs/query-change-log)\n- [Refer to the Bigtable change stream to\n BigQuery template reference\n page.](/dataflow/docs/guides/templates/provided/cloud-bigtable-change-streams-to-bigquery)"]]
