{
  "opencollection": "1.0.0",
  "info": {
    "name": "Amazon DynamoDB Backups Queries API",
    "version": "2012-08-10"
  },
  "request": {
    "auth": {
      "type": "apikey",
      "key": "Authorization",
      "value": "{{Authorization}}",
      "placement": "header"
    }
  },
  "items": [
    {
      "info": {
        "name": "Queries",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Amazon Dynamodb Query Items by Primary Key",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://dynamodb.{region}.amazonaws.com/#Query",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Finds items based on primary key values. You can query a table, a local secondary index, or a global secondary index. You must provide a specific value for the partition key. You can optionally narrow the scope of the query using a sort key condition and filter expression. Query results are always sorted by the sort key value."
        },
        {
          "info": {
            "name": "Amazon Dynamodb Scan an Entire Table or Index",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://dynamodb.{region}.amazonaws.com/#Scan",
            "headers": [
              {
                "name": "X-Amz-Target",
                "value": ""
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Returns one or more items and item attributes by accessing every item in a table or a secondary index. Scan operations proceed sequentially. For faster performance on a large table or secondary index, you can request a parallel scan by specifying the Segment and TotalSegments parameters. A filter expression can be applied to narrow the results."
        }
      ]
    }
  ],
  "bundled": true
}