使用Python进行BigQuery单元测试

我试图用模拟对象来测试BigQuery类，以表示表。my

BigQueryRequest

类的实例必须提供

BigQuery表uri

。我是否可以直接从Python创建一个模拟BigQuery表？怎么可能呢

class BigQueryRequest:
    """BigQueryRequest
    Contains a BigQuery request with its parameter.
    Receive a table uri ($project_id.$dataset.$table) to run query
    Args:
        uri (str): BigQuery table uri
    Properties:
        BigQueryRequest.project: return the project running BigQuery
        BigQueryRequest.dataset: return the dataset
        BigQueryRequest.table: return the table to query
        BigQueryRequest.destination_project: same as project but for destination project
        BigQueryRequest.destination_dataset: same as project but for destination dataset
        BigQueryRequest.destination_table: same as project but for destination table
    Methods:
        from_uri(): (@classmethod) parse a BigQuery uri to its project, dataset, table
        destination(): return a uri of the BigQuery request destination table
        query(): run the given BigQuery query
    Private methods:
        __set_destination(): generate a destination uri following the nomenclature or reuse entry uri
    """

    def __init__(self, uri="", step="", params={}):
        self.project, self.dataset, self.table = self.from_uri(uri)
        self.step = step
        self.params = self.set_params(params)
        self.overwrite = False
        (
            self.destination_project,
            self.destination_dataset,
            self.destination_table,
        ) = self.__set_destination()

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你必须自己做，谷歌云没有为GCP产品或服务提供官方的模拟库

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您也可以尝试另一种方法。

如果您计划测试SQL并根据输入断言结果，我建议。该框架允许您在Python中与BigQuery交互，并使测试更加可靠

您有3种向其中注入数据的方法：

• 创建能够隔离名称的数据集和表，从而拥有自己的命名空间
• 依赖临时表，在临时表中，数据是用数据文字插入的
• 数据文字合并到查询中

希望这有帮助