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Halaman ini menjelaskan cara mengonfigurasi Datastream untuk replikasi ke tabel Iceberg BigLake di BigQuery.
Tabel Iceberg BigLake menawarkan pengalaman terkelola sepenuhnya yang sama seperti tabel BigQuery standar, tetapi menyimpan data di bucket Cloud Storage milik pelanggan dalam format tabel Apache Iceberg dan format file Parquet. Anda dapat membuat kueri dan menganalisis data menggunakan kemampuan BigQuery sambil menyimpan data di bucket penyimpanan Anda sendiri.
Mengonfigurasi streaming ke tabel BigLake Iceberg
Untuk menyiapkan aliran Anda agar menyerap data ke dalam tabel Iceberg BigLake:
Beri koneksi resource Cloud Anda akses ke bucket Cloud Storage yang Anda buat. Untuk melakukannya, tambahkan izin IAM storage.admin ke akun layanan koneksi:
Untuk mengetahui informasi tentang cara membuat aliran tabel Iceberg BigLake menggunakan konsol Google Cloud , lihat Membuat aliran.
Untuk mengetahui informasi tentang cara membuat permintaan untuk melakukan streaming data ke tabel Iceberg BigLake menggunakan REST, Google Cloud CLI, atau Terraform, lihat Mengelola streaming menggunakan API.
Untuk mempelajari cara membuat profil koneksi yang dapat Anda gunakan dengan aliran tabel BigLake Iceberg, lihat Membuat profil koneksi untuk BigQuery.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-12 UTC."],[],[],null,["# Configure BigLake Iceberg tables in BigQuery\n\nThis page describes how to configure Datastream for replication to\nBigLake Iceberg tables in BigQuery.\n\nBigLake Iceberg tables offer the same fully managed experience as\nstandard BigQuery tables, but store data in customer-owned Cloud Storage\nbuckets in the Apache Iceberg table format and Parquet file format. You can\nquery and analyse data using BigQuery capabilities while keeping the\ndata in your own storage buckets.\n| **Note:** Streaming to BigLake Iceberg tables is supported only in the **append-only** write mode. For more information, see [Configure write mode](/datastream/docs/destination-bigquery#configure-write-mode).\n\nConfigure streaming to BigLake Iceberg tables\n---------------------------------------------\n\nTo set up your stream to ingest data into BigLake Iceberg tables:\n\n1. [Create a Cloud Storage bucket](/storage/docs/creating-buckets) where you want to store your data.\n2. Create a Cloud resource connection in BigQuery. For information about how to create this type of connection, see [Create and set up a Cloud resource connection](/bigquery/docs/create-cloud-resource-connection).\n3. Get the identifier of the connection service account:\n\n bq show --location=\u003cvar translate=\"no\"\u003eLOCATION\u003c/var\u003e --connection --project_id=\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e\n \u003cvar translate=\"no\"\u003eCONNECTION_NAME\u003c/var\u003e\n\n4. Grant your Cloud resource connection access to the Cloud Storage bucket that\n you created. To do this, add the `storage.admin` IAM permission\n to the connection service account:\n\n gcloud storage buckets add-iam-policy-binding gs://\u003cvar translate=\"no\"\u003eYOUR_GCS_BUCKET\u003c/var\u003e \\\n --member=serviceAccount:\u003cvar translate=\"no\"\u003eYOUR_SERVICE_ACCOUNT_ID\u003c/var\u003e \\\n --role=roles/storage.admin\n\n5. Create a BigLake Iceberg tables stream.\n\n For information about how to create a BigLake Iceberg tables stream\n using the Google Cloud console, see\n [Create a stream](/datastream/docs/create-a-stream).\n\n For information about how to create a request to stream data to\n BigLake Iceberg tables using REST, `Google Cloud CLI` or Terraform, see\n [Manage streams using the API](/datastream/docs/manage-streams#createastream-blmt).\n\n| **Note:** The Cloud Storage bucket, BigQuery dataset, and the Datastream connection must all be in the same region.\n\nWhat's next\n-----------\n\n- To learn more about streams, see [Stream lifecycle](/datastream/docs/stream-states-and-actions).\n- To learn how to create a stream, see [Create a stream](/datastream/docs/create-a-stream).\n- To learn how to create a connection profile that you can use with a BigLake Iceberg tables stream, see [Create a connection profile for BigQuery](/datastream/docs/create-connection-profiles#cp4bigquery)."]]
