使用Python API将文本数据上传至Google Cloud Storage，然后通过Big Query API将数据从Google Cloud Storage导入到Big Query表格中。示例代码如下：

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

将数据上传至Google Cloud Storage

def upload_to_storage(file_path, bucket_name, object_name): storage_client = storage.Client() bucket = storage_client.get_bucket(bucket_name) blob = bucket.blob(object_name) blob.upload_from_filename(file_path)

从Google Cloud Storage导入数据到Big Query表格中

def import_data_to_bigquery(dataset_name, table_name, source_uri): bigquery_client = bigquery.Client() dataset_ref = bigquery_client.dataset(dataset_name) table_ref = dataset_ref.table(table_name) job_config = bigquery.LoadJobConfig() job_config.source_format = bigquery.SourceFormat.CSV job_config.skip_leading_rows = 1 job_config.autodetect = True load_job = bigquery_client.load_table_from_uri( source_uri, table_ref, job_config=job_config ) load_job.result()

使用示例

upload_to_storage(data.csv", "my_bucket", "data.csv") import_data_to_bigquery("my_dataset", "my_table", "gs://my_bucket/data.csv") "