Ruby:100的嵌套在将CSV转换为JSON时太深（JSON:：NestingError）

我读过一篇文章，但没用

我有一个50万行的

CSV

文件，看起来像这样：

contract-number,amendment-number,award-date,contract-value,supplier-name,contracting-entity
W8486,0,2014-04-14,14326000,"COMPANY A","Office of Llama Supplies"
W8487,0,2014-04-10,150000,"COMPANY B","Foo Bar Dept"
W8488,2,2014-03-24,146000,"COMPANY C","Armed Forces"
W8488,1,2014-03-03,68000,"COMPANY C","Armed Forces"
W8488,0,2014-02-17,27760,"COMPANY C","Armed Forces"
W8489,0,2014-02-14,51000000,"COMPANY B","Dept of Magical Affairs"

[{"W8486":
  {0:
    {
      "award-date": 2014-04-14,
      "contract-value": 14326000,
      "supplier-name": "COMPANY A",
      "contracting-entity": "Office of Llama Supplies"
    }
  }
},
{"W8487":
  {0:
    {
      "award-date": 2014-04-10,
      "contract-value": 150000,
      "supplier-name": "COMPANY B",
      "contracting-entity": "Foo Bar Dept"
    }
  }
},
{"W8488":
  {2:
    {
      "award-date": 2014-03-24,
      "contract-value": 146000,
      "supplier-name": "COMPANY C",
      "contracting-entity": "Armed Forces"
    }
  },
  {1:
    {
      "award-date": 2014-03-03,
      "contract-value": 68000,
      "supplier-name": "COMPANY C",
      "contracting-entity": "Armed Forces"
    }
  },
  {0:
    {
      "award-date": 2014-02-17,
      "contract-value": 27760,
      "supplier-name": "COMPANY C",
      "contracting-entity": "Armed Forces"
    }
  },
},
{"W8489":
  {0:
    {
      "award-date": 2014-02-14,
      "contract-value": 51000000,
      "supplier-name": "COMPANY B",
      "contracting-entity": "Dept of Magical Affairs"
    }
  }
}]

许多合同不止一次出现。 我想编写一个Ruby脚本，将我的数据转换为

JSON

文件，并将具有相同编号的合同嵌套到同一节点中，如下所示：

contract-number,amendment-number,award-date,contract-value,supplier-name,contracting-entity
W8486,0,2014-04-14,14326000,"COMPANY A","Office of Llama Supplies"
W8487,0,2014-04-10,150000,"COMPANY B","Foo Bar Dept"
W8488,2,2014-03-24,146000,"COMPANY C","Armed Forces"
W8488,1,2014-03-03,68000,"COMPANY C","Armed Forces"
W8488,0,2014-02-17,27760,"COMPANY C","Armed Forces"
W8489,0,2014-02-14,51000000,"COMPANY B","Dept of Magical Affairs"

[{"W8486":
  {0:
    {
      "award-date": 2014-04-14,
      "contract-value": 14326000,
      "supplier-name": "COMPANY A",
      "contracting-entity": "Office of Llama Supplies"
    }
  }
},
{"W8487":
  {0:
    {
      "award-date": 2014-04-10,
      "contract-value": 150000,
      "supplier-name": "COMPANY B",
      "contracting-entity": "Foo Bar Dept"
    }
  }
},
{"W8488":
  {2:
    {
      "award-date": 2014-03-24,
      "contract-value": 146000,
      "supplier-name": "COMPANY C",
      "contracting-entity": "Armed Forces"
    }
  },
  {1:
    {
      "award-date": 2014-03-03,
      "contract-value": 68000,
      "supplier-name": "COMPANY C",
      "contracting-entity": "Armed Forces"
    }
  },
  {0:
    {
      "award-date": 2014-02-17,
      "contract-value": 27760,
      "supplier-name": "COMPANY C",
      "contracting-entity": "Armed Forces"
    }
  },
},
{"W8489":
  {0:
    {
      "award-date": 2014-02-14,
      "contract-value": 51000000,
      "supplier-name": "COMPANY B",
      "contracting-entity": "Dept of Magical Affairs"
    }
  }
}]

到目前为止，我已经成功地使用CSV.foreach do | line |遍历了

CSV，将每个项目放入一个散列中。我已经设法检查了
行[0]==previousContractNumber

但每次我编写JSON文件时，都会出现以下错误：

nesting of 100 is too deep (JSON::NestingError)

我怎样才能避开这件事

非常感谢
 以下是一些应该有效的代码：

您构建输出的方式可能存在错误。如果你能展示你的代码，这会有所帮助。可能会有重大的可伸缩性问题等着你。CSV是逐行读取的，可扩展性很强。通常，JSON被读取为单个字符串，然后解析为单独的对象并进行处理。将500K行转换为500K对象可能会消耗大量内存，并且随着内存的分配、转移和可能的分页，脚本速度会减慢。有一些类似SAX的JSON解析器，所以希望您正在使用它们来处理传入的JSON流。非常感谢大家@乌里·阿加西的解决方案奏效了。您的帮助将极大地帮助我清理这些数据！最后，我有262K条记录，其中128K条与另一条共享一个合同号。运行脚本和编写JSON文件花费了73秒。