Mendownload data tabel publik ke DataFrame dari sandbox
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Menggunakan BigQuery Storage API untuk mendownload hasil kueri ke DataFrame.
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[[["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"]],[],[[["\u003cp\u003eThis guide demonstrates how to use the BigQuery Storage API to download query results directly to a DataFrame in Python.\u003c/p\u003e\n"],["\u003cp\u003eThe provided Python code sample utilizes the \u003ccode\u003egoogle.cloud.bigquery\u003c/code\u003e library to execute a query and retrieve the results.\u003c/p\u003e\n"],["\u003cp\u003eThe BigQuery Storage API enables faster downloads of large tables compared to standard methods.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication to BigQuery is required and can be set up using Application Default Credentials.\u003c/p\u003e\n"],["\u003cp\u003eYou can use the provided Google Cloud sample browser to find additional code samples for Google Cloud products.\u003c/p\u003e\n"]]],[],null,["# Download public table data to DataFrame from the sandbox\n\nUse the BigQuery Storage API to download query results to DataFrame.\n\nCode sample\n-----------\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[BigQuery quickstart using\nclient libraries](/bigquery/docs/quickstarts/quickstart-client-libraries).\n\n\nFor more information, see the\n[BigQuery Python API\nreference documentation](/python/docs/reference/bigquery/latest).\n\n\nTo authenticate to BigQuery, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for client libraries](/bigquery/docs/authentication#client-libs).\n\n\n from google.cloud import https://cloud.google.com/python/docs/reference/bigquery/latest/\n\n # Construct a BigQuery client object.\n client = https://cloud.google.com/python/docs/reference/bigquery/latest/.https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client.html()\n\n # `SELECT *` is an anti-pattern in BigQuery because it is cheaper and\n # faster to use the BigQuery Storage API directly, but BigQuery Sandbox\n # users can only use the BigQuery Storage API to download query results.\n query_string = \"SELECT * FROM `bigquery-public-data.usa_names.usa_1910_current`\"\n\n # Use the BigQuery Storage API to speed-up downloads of large tables.\n dataframe = client.https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client.html#google_cloud_bigquery_client_Client_query_and_wait(query_string).to_dataframe(\n create_bqstorage_client=True\n )\n\n print(dataframe.info())\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=bigquery)."]]
