Bulk update taking time on updating nested properties

Elastic Stack Elasticsearch
6

Hii david can you please give me any example that how to create script in config file. Or any simple method to update nested object . I just want to update property of nested obj by four ways append , increment , ignore ,replace with new value .
My nested Obj lokking like this

{
               "_userId": "hr324hdie93hdjdo391",
               "_shardId": 2,
               "brand": [
                  {
                     "price": 140,
                     "name": 23,
                     "count": 7,
                     "without_promo": 7,
                     "action": "purchased",
                     "key": "23_purchased",
                     "last_date": "2015-07-04T10:10:25"
                  }
               ],
               "product": [
                  {
                     "price": 140,
                     "with_promo": 7,
                     "name": 28,
                     "count": 7,
                     "action": "purchased",
                     "key": "28_purchased",
                     "last_date": "2015-07-04T10:10:25"
                  },
                  {
                     "price": 40,
                     "with_promo": 2,
                     "name": 29,
                     "count": 2,
                     "action": "purchased",
                     "key": "29_purchased",
                     "last_date": "2015-07-04T06:25:30"
                  }
               ],
               "category": [
                  {
                     "price": 140,
                     "with_promo": 7,
                     "name": 123,
                     "count": 7,
                     "action": "purchased",
                     "key": "123_purchased",
                     "last_date": "2015-07-04T10:10:25"
                  },
                  {
                     "price": 40,
                     "with_promo": 2,
                     "name": 124,
                     "count": 2,
                     "action": "purchased",
                     "key": "124_purchased",
                     "last_date": "2015-07-04T06:25:30"
                  }
               ]
            }
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