[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2025-09-04 (世界標準時間)。"],[[["\u003cp\u003eThe BigQuery sandbox allows users to explore BigQuery's capabilities at no cost without needing a credit card or billing account.\u003c/p\u003e\n"],["\u003cp\u003eEnabling the sandbox involves navigating to the BigQuery page in the Google Cloud console, authenticating with a Google Account, and creating a new project.\u003c/p\u003e\n"],["\u003cp\u003eThe BigQuery sandbox has limitations, such as a 60-day expiration for all tables and views, and it does not support streaming data, DML statements, or BigQuery Data Transfer Service.\u003c/p\u003e\n"],["\u003cp\u003eUsers can upgrade from the sandbox to increase storage and query capabilities by enabling billing for their project and selecting a suitable BigQuery edition.\u003c/p\u003e\n"],["\u003cp\u003eAfter enabling the BigQuery sandbox, users are encouraged to try one of the three quickstarts provided, which will allow them to query a public dataset with the Google Cloud console, the bq command-line tool or the client libraries.\u003c/p\u003e\n"]]],[],null,["# Enable the BigQuery sandbox\n===========================\n\nThe BigQuery sandbox lets you explore limited BigQuery capabilities\nat no cost to confirm whether BigQuery fits your needs. The\nBigQuery sandbox lets you experience BigQuery without\nproviding a credit card or creating a billing account for your project. If you\nalready created a billing account, you can still use BigQuery at\nno cost in the free usage tier.\n\nStart using the BigQuery sandbox\n--------------------------------\n\n1. In the Google Cloud console, go to the **BigQuery** page.\n\n [Go to BigQuery](https://console.cloud.google.com/bigquery)\n\n You can also open BigQuery in the Google Cloud console\n by entering the following URL in your browser: \n\n ```\n https://console.cloud.google.com/bigquery\n ```\n\n The Google Cloud console is the graphical interface that you use to create\n and manage BigQuery resources and to run SQL queries.\n2. Authenticate with your Google Account, or create a new one.\n\n3. On the welcome page, do the following:\n\n 1. For **Country**, select your country.\n\n 2. For **Terms of Service**, select the checkbox if you agree to the terms\n of service.\n\n 3. Optional: If you are asked about email updates, select the checkbox if\n you want to receive email updates.\n\n 4. Click **Agree and continue**.\n\n4. Click **Create project**.\n\n5. On the **New Project** page, do the following:\n\n 1. For **Project name**, enter a name for your project.\n\n 2. For **Organization** , select an organization or select\n **No organization** if you are not part of one. Managed accounts, such\n as those associated with academic institutions, must select an\n organization.\n\n 3. If you are asked to select a **Location** , click **Browse** and select a\n location for your project.\n\n 4. Click **Create** . You are redirected back to the **BigQuery** page in\n the Google Cloud console.\n\nYou have successfully enabled the BigQuery sandbox. A\nBigQuery sandbox notice is now displayed on the **BigQuery** page:\n\nWith the BigQuery sandbox now enabled, we recommend that you try the\n[Query a public dataset with the Google Cloud console](/bigquery/docs/quickstarts/query-public-dataset-console)\nquickstart next. You can also try a similar\n[quickstart for the bq command-line tool](/bigquery/docs/quickstarts/query-public-dataset-bq),\nwhich is useful for many administrative tasks, or a similar\n[quickstart for the client libraries](/bigquery/docs/quickstarts/quickstart-client-libraries),\nwhich let you use BigQuery with programming languages like\nJava and Python.\n\nUpgrade from the BigQuery sandbox\n---------------------------------\n\nThe BigQuery sandbox lets you explore\n[limited BigQuery capabilities](#limitations)\nat no cost. When you are ready to increase your storage and query\ncapabilities, upgrade from the BigQuery sandbox.\n\nTo upgrade, do the following:\n\n1. [Enable billing](/billing/docs/how-to/modify-project#enable_billing_for_a_project)\n for your project.\n\n2. Explore [BigQuery editions](/bigquery/docs/editions-intro)\n and determine the pricing model that is right for you.\n\nOnce you have upgraded from the BigQuery sandbox, you should\n[update the default expiration times for your BigQuery resources](/bigquery/docs/updating-datasets#table-expiration)\nsuch as tables, views, and partitions.\n\nLimitations\n-----------\n\nThe BigQuery sandbox is subject to the following limits:\n\n- All BigQuery [quotas and limits](/bigquery/quotas) apply.\n- You are granted the same free usage limits as the BigQuery [free tier](/bigquery/pricing#free-tier), including 10 GB of active storage and 1 TB of processed query data each month.\n- All BigQuery [datasets](/bigquery/docs/datasets-intro) have a [default table expiration time](/bigquery/docs/updating-datasets#table-expiration), and all [tables](/bigquery/docs/tables-intro), [views](/bigquery/docs/views-intro), and [partitions](/bigquery/docs/partitioned-tables) automatically expire after 60 days.\n- The BigQuery sandbox does not support several BigQuery\n features, including the following:\n\n - [Streaming data](/bigquery/docs/write-api)\n - [Data manipulation language (DML) statements](/bigquery/docs/data-manipulation-language)\n - [BigQuery Data Transfer Service](/bigquery/docs/dts-introduction)\n\nWhat's next\n-----------\n\n- Learn to [query a public dataset with the Google Cloud console](/bigquery/docs/quickstarts/query-public-dataset-console).\n- Learn to [query a public dataset with the bq tool](/bigquery/docs/quickstarts/query-public-dataset-bq).\n- Learn to [query a public dataset with the client libraries](/bigquery/docs/quickstarts/quickstart-client-libraries).\n- For more information about using BigQuery at no cost in the free usage tier, see [Free usage tier](/bigquery/pricing#free-tier).\n- Get [updates about BigQuery releases](/bigquery/docs/release-notes).\n\n\u003c!-- --\u003e\n\n- If you are a Firebase user, see [Link BigQuery to Firebase](https://support.google.com/firebase/answer/6318765)."]]