小编Mik*_*eek的帖子

处理离线优先移动应用程序(PouchDB)的大数据集的最佳方法

所以我使用Ionic v2并使用Pouch进行移动开发,使用sqlite.来自REST API的数据包含以下内容:

{
  "record-id": "2332255",
  "record-name": "record-ABC-XTY",
  "record-items": [
    {
      "item-id": "456454",
      "item-name": "item-XADD",
      "category": "Cat1",
      "subcategory": "Subcat1",
      "location": "LocationXYZ",
      "owner": "Person1",
      "data-rows": [
        {
          "row-name": "sampleRowName1",
          "row-value": "ABC-XASS"
        },
        {
          "row-name": "sampleRowName2",
          "row-value": "ABC-XASS"
        }
      ]
    },
    {
      "item-id": "654645",
      "item-name": "item-BNSSA",
      "category": "Cat2",
      "subcategory": "Subcat2",
      "location": "LocationABC",
      "owner": "Person2",
      "data-rows": [
        {
          "row-name": "sampleRowName1",
          "row-value": "ABC-XASS"
        },
        {
          "row-name": "sampleRowName2",
          "row-value": "ABC-XASS"
        }
      ]
    }
  ]
}

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现在您可以看到,记录项可能包含100,000个或更多项(est json大小:32mb).现在我迷失了我应该采取的方法.优化的数据处理至关重要,我不知道PouchDB方法更好.以下是我的一些想法.