原文地址：https://www.elastic.co/guide/en/elasticsearch/reference/5.5/search-request-search-after.html

Search Afteredit

Pagination of results can be done by using the from and size but the cost becomes prohibitive when the deep pagination is reached. The index.max_result_window which defaults to 10,000 is a safeguard, search requests take heap memory and time proportional to from + size

. The Scroll api is recommended for efficient deep scrolling but scroll contexts are costly and it is not recommended to use it for real time user requests. The search_after parameter circumvents this problem by providing a live cursor. The idea is to use the results from the previous page to help the retrieval of the next page.

Suppose that the query to retrieve the first page looks like this:

GET twitter/tweet/_search
{"size":10,"query":{"match":{"title":"elasticsearch"}},"sort":[{"date":"asc"},{"_uid":"desc"}]}

A field with one unique value per document should be used as the tiebreaker of the sort specification. Otherwise the sort order for documents that have the same sort values would be undefined. The recommended way is to use the field _uid

 which is certain to contain one unique value for each document.

The result from the above request includes an array of sort values for each document. These sort values can be used in conjunction with the search_after parameter to start returning results "after" any document in the result list. For instance we can use the sort values of the last document and pass it to search_after to retrieve the next page of results:

GET twitter/tweet/_search
{"size":10,"query":{"match":{"title":"elasticsearch"}},"search_after":[1463538857,"tweet#654323"],"sort":[{"date":"asc"},{"_uid":"desc"}]}

The parameter from must be set to 0 (or -1) when search_after is used.

search_after is not a solution to jump freely to a random page but rather to scroll many queries in parallel. It is very similar to the scroll API but unlike it, the search_after parameter is stateless, it is always resolved against the latest version of the searcher. For this reason the sort order may change during a walk depending on the updates and deletes of your index.