_update_by_query + script do not work correctly，error:Trying to create too many scroll contexts

[lizhanghu]

Elasticsearch version: 7.6.2

JVM：13.0.2

OS version：centeros7

This is my code

POST  recommend_index/_update_by_query  

{
               "script": {
			"source": "ctx._source.rec_doctor_id = 1"
		},
               "query": {
                    "bool": {
				"must": [{
							"terms": {
								"id": ["22222"]
							}
	        			     }]
	        		}
                           }
	     }

This code does not return the result correctly,The error message is

{
  "error": {
    "root_cause": [
      {
        "type": "exception",
        "reason": "Trying to create too many scroll contexts. Must be less than or equal to: [5000]. This limit can be set by changing the [search.max_open_scroll_context] setting."
      }
    ],
    "type": "search_phase_execution_exception",
    "reason": "Partial shards failure",
    "phase": "query",
    "grouped": true,
    "failed_shards": [
      {
        "shard": 1,
        "index": "recommend_index",
        "node": "XXX",
        "reason": {
          "type": "exception",
          "reason": "Trying to create too many scroll contexts. Must be less than or equal to: [5000]. This limit can be set by changing the [search.max_open_scroll_context] setting."
        }
      }
    ]
  },
  "status": 500
}

I'm sure the current scroll is 0

When I replace _UPDATE_BY_QUERY with _UPDATE, it updates normally

No change has been made in ES since last Friday, and suddenly an error is reported

[lizhanghu]

follow-up:
I set the search.max_open_scroll_context parameter to 5000 and found nothing to do with it.
I looked up the 7.6.2 release and found that someone was having the same problem as me.Link on this
here #71354 #56202
I guess this is due to scrolling triggering the 7.6.2 bug.I restarted the cluster node without upgrading and found that it worked!!

[dnhatn]

@lizhanghu This is a known issue in 7.6.2 (see #56202). You need to upgrade to 7.7 or later to have a fix. Thank you for your interest in Elasticsearch.

[elasticmachine]

Pinging @elastic/es-search (Team:Search)