Python BigQuery API-获取表架构 [英] Python BigQuery API - get table schema

问题描述

我正在尝试从bigquery表中获取架构.给定示例代码

I am trying to fetch schema form bigquery table. Given a sample code like

from google.cloud import bigquery
from google.cloud import storage

client =  bigquery.Client.from_service_account_json('service_account.json')

def test_extract_schema(client): 
    project = 'bigquery-public-data'
    dataset_id = 'samples'
    table_id = 'shakespeare'

    dataset_ref = client.dataset(dataset_id, project=project)
    table_ref = dataset_ref.table(table_id)
    table = client.get_table(table_ref)  # API Request

    # View table properties
    print(table.schema)

if __name__ == '__main__':
    test_extract_schema(client)

这是返回值，例如:

[SchemaField('word', 'STRING', 'REQUIRED', 'A single unique word (where whitespace is the delimiter) extracted from a corpus.', ()), SchemaField('word_count', 'INTEGER', 'REQUIRED', 'The number of times this word appears in this corpus.', ()), SchemaField('corpus', 'STRING', 'REQUIRED', 'The work from which this word was extracted.', ()), SchemaField('corpus_date', 'INTEGER', 'REQUIRED', 'The year in which this corpus was published.', ())]

我试图仅以类似格式捕获模式的地方

Where I am trying to capture schema only in the format like

'word' 'STRING','word_count' INTEGER'

是否可以使用API​​调用或其他任何方法来获取此信息?

Is there any way to get this using API call or any other method?

推荐答案

由于表是由

同一数据集和表的结果:

Result for that same dataset and table:

['word STRING', 'word_count INTEGER', 'corpus STRING', 'corpus_date INTEGER']

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