ElasticSearch Painless script: How to iterate in an array of Nested Objects

Question

I am trying to create a script using the script_score of the function_score. I have several documents whose rankings field is type=\

Answer 1

For Nested objects in an array, iterated over the items and it worked. Following is my sample data in elasticsearch index:

{
  "_index": "activity_index",
  "_type": "log",
  "_id": "AVjx0UTvgHp45Y_tQP6z",
  "_version": 4,
  "found": true,
  "_source": {
    "updated": "2016-12-11T22:56:13.548641",
    "task_log": [
      {
        "week_end_date": "2016-12-11",
        "log_hours": 16,
        "week_start_date": "2016-12-05"
      },
      {
        "week_start_date": "2016-03-21",
        "log_hours": 0,
        "week_end_date": "2016-03-27"
      },
      {
        "week_start_date": "2016-04-24",
        "log_hours": 0,
        "week_end_date": "2016-04-30"
      }
    ],
    "created": "2016-12-11T22:56:13.548635",
    "userid": 895,
    "misc": {

    },
    "current": false,
    "taskid": 1023829
  }
}

Here is the "Painless" script to iterate over nested objects:

{
  "script": {
    "lang": "painless",
    "inline": 
        "boolean contains(def x, def y) {
          for (item in x) {
            if (item['week_start_date'] == y){
              return true
            }
          }
          return false 
         }
         if(!contains(ctx._source.task_log, params.start_time_param) {
           ctx._source.task_log.add(params.week_object)
         }",
         "params": {
            "start_time_param": "2016-04-24",
             "week_object": {
               "week_start_date": "2016-04-24",
               "week_end_date": "2016-04-30",
               "log_hours": 0
              }
          }
  }
}

Used above script for update: /activity_index/log/AVjx0UTvgHp45Y_tQP6z/_update In the script, created a function called 'contains' with two arguments. Called the function. The old groovy style: ctx._source.task_log.contains() will not work since ES 5.X stores nested objects in a separate document. Hope this helps!`