如何在DynamoDB（Python）中的嵌套屬性上使用FilterExpression？

Question

這是我的json模型：

item=item={"Company":"ABCD",
               "Industry":"Invest.Services",
               "Sector":"Financial",
               "Financial_Results":
                             [{"Date":"2007-03-31","Frequency":"Annual","REV1":"20","REV3":"33"},
                              {"Date":"2008-03-31","Frequency":"Annual","REV1":"20","REV3":"34.43"},
                              {"Date":"2012-03-31","Frequency":"Annual","REV1":"30","REV3":Decimal("230")},
                              {"Date":"2013-03-31","Frequency":"Quarterly","REV1":Decimal("30"),"REV3":"3.32"},
                              {"Date":"2013-06-31","Frequency":"Quarterly","REV1":Decimal("20"),"REV3":"-0.343"},
                              {"Date":"2013-09-31","Frequency":"Quarterly","REV1":"20.50","REV3":"-0.543"}]
             }
    table.put_item(Item=item)

item=item={"Company":"EFGH",
               "Industry":"Mining",
               "Sector":"Metals",
               "Financial_Results":
                             [{"Date":"2007-03-31","Frequency":"Annual","REV1":"20","REV3":"33"},
                              {"Date":"2008-03-31","Frequency":"Annual","REV1":"20","REV3":"34.43"},
                              {"Date":"2012-03-31","Frequency":"Annual","REV1":"30","REV3":Decimal("230")},
                              {"Date":"2013-03-31","Frequency":"Quarterly","REV1":Decimal("30"),"REV3":"3.32"},
                              {"Date":"2013-06-31","Frequency":"Quarterly","REV1":Decimal("20"),"REV3":"-0.343"},
                              {"Date":"2014-03-31","Frequency":"Annual","REV1":"20.50","REV3":"-0.543"}]
             }
    table.put_item(Item=item)

公司-分區鍵（哈希鍵）。

沒有范圍鍵（排序鍵）。

我的要求是：

• 我該如何過濾'Date'屬性等於或大於'2013-03-31'和'REV1'屬性且僅包含少於零個項目。

注意：我已經引用了以下鏈接http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Expressions.Attributes.html#DocumentPaths

我仍然沒有任何結論。請幫助我。 提前致謝

Answer 1

經過一整天的研發，我終於找到了答案。 根據AWS DynamoDB文檔和其他重要研究，我得出結論，目前不支持我的json模型准備（在頂部） 。根據我的要求，我需要整理數據而不是文檔基礎。盡管如此，感謝每個貢獻者。