Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many configuration errors.
Briefly, this error means that the track_total_hits parameter is disabled in a scroll context. The track_total_hits parameter is used to count the total number of hits that match the query, and when a user scrolls through the results, Elasticsearch needs to keep track of the total number of hits to determine when to stop. Disabling this parameter can cause issues when scrolling through a large number of hits. To resolve this error, enable the track_total_hits parameter in the Elasticsearch query.
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This guide will help you check for common problems that cause the log ” disabling track_total_hits is not allowed in a scroll context ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: scroll and search.
Overview
In Elasticsearch, the concept of scroll comes into play when you have a large set of search results. Large search results are exhaustive for both the Elasticsearch cluster and the requesting client in terms of memory and processing. The scroll API enables you to take a snapshot of a large number of results from a single search request.
Examples
To perform a scroll search, you need to add the scroll parameter to a search query and specify how long Elasticsearch should keep the search context viable.
GET mydocs-2019/_search?scroll=40s
{
"size": 5000,
"query": {
"match_all": {}
},
"sort": [
{
"_doc": {
"order": "asc"
}
}
]
}This query will return a maximum of 5000 hits. If the scroll is idle for more than 40 seconds, it will be deleted. The response will return the first page of the results and a scroll ID. You can use the scroll ID to get additional documents from the scroll. You’ll be able to keep retrieving the documents until you have all of them.
Notes
- Changes made to documents after the scroll will not show up in your results.
- When you are done with the scroll, you can delete it manually using the scroll ID.
DELETE _search/scroll/<scroll_id>
Overview
Search refers to the searching of documents in an index or multiple indices. The simple search is just a GET API request to the _search endpoint. The search query can either be provided in query string or through a request body.
Examples
When looking for any documents in this index, if search parameters are not provided, every document is a hit and by default 10 hits will be returned.
GET my_documents/_search
A JSON object is returned in response to a search query. A 200 response code means the request was completed successfully.
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 1.0,
"hits" : [
...
]
}
}Notes and good things to know
- Distributed search is challenging and every shard of the index needs to be searched for hits, and then those hits are combined into a single sorted list as a final result.
- There are two phases of search: the query phase and the fetch phase.
- In the query phase, the query is executed on each shard locally and top hits are returned to the coordinating node. The coordinating node merges the results and creates a global sorted list.
- In the fetch phase, the coordinating node brings the actual documents for those hit IDs and returns them to the requesting client.
- A coordinating node needs enough memory and CPU in order to handle the fetch phase.
Log Context
Log “disabling [track_total_hits] is not allowed in a scroll context”classname is SearchService.java We extracted the following from Elasticsearch source code for those seeking an in-depth context :
}
context.trackScores(source.trackScores());
if (source.trackTotalHitsUpTo() != null
&& source.trackTotalHitsUpTo() != SearchContext.TRACK_TOTAL_HITS_ACCURATE
&& context.scrollContext() != null) {
throw new SearchException(shardTarget; "disabling [track_total_hits] is not allowed in a scroll context");
}
if (source.trackTotalHitsUpTo() != null) {
context.trackTotalHitsUpTo(source.trackTotalHitsUpTo());
}
if (source.minScore() != null) {
