#JSON Data Matching Tool

JSON Match & Update syncs values from a source dataset into corresponding fields of a target dataset. It matches rows by an ID field shared between the two JSON sources and writes the source value into the target's named field — useful for merging fresh counts, ratings, or any per-row attribute back into a canonical dataset.

#Usage Steps

1. Prepare Your Data:

   • Original Data: The complete JSON dataset that needs to be updated
   • Target Data: The JSON dataset containing the count values

2. Input Data:

   • Paste or upload your original JSON data in the left text box
   • Paste your target JSON data (with count values) in the right text box
   • You can also drag and drop .txt or .json files

3. Configure Matching Fields:

   • Original ID Field: The unique identifier field in your original data (default: id)
   • Target ID Field: The corresponding ID field in your target data (default: card_id)
   • Original Weight Field: The field in original data to be updated (default: weight)
   • Target Weight Field: The field in target data containing new values (default: count)

4. Process Data:

   • Click the "Start Process" button to execute the data matching and update

5. View Results:

   • Updated data will display in the result area below
   • Options to copy the complete result, copy only the JSON node content, or download the updated file

#Special Rules

• If an item in the original data has a Chinese title (zh.title) containing "失效" (invalid), its weight will automatically be set to 0
• If no corresponding item is found in the target data for an original data ID, that item remains unchanged

#Additional Features

• Large File Mode: Check this option when processing larger datasets to hide the left text box and use file upload only
• Reset Upload: Clear uploaded files and text box contents

#Data Format Examples

Original data format:

[
  {
    "id": 12345,
    "weight": 10,
    "zh": {
      "title": "Example Title"
    }
    // Other fields...
  }
]

Target data format:

[
  {
    "card_id": 12345,
    "count": 25
  }
]

Result data:

[
  {
    "id": 12345,
    "weight": 25, // Updated from count value
    "zh": {
      "title": "Example Title"
    }
    // Other fields remain unchanged...
  }
]