Elastic search不提供大量的页面大小数据

对于实时使用，最好的解决方案是在查询后使用搜索。您只需要一个日期字段，以及另一个唯一标识文档的

_id

_uid

keyworddatatype

from elasticsearch import Elasticsearches = Elasticsearch()es_index = "your_index_name"documento = "your_doc_type"user = "Francesco Totti"body2 = {        "query": {        "term" : { "user" : user }  }        }res = es.count(index=es_index, doc_type=documento, body= body2)size = res['count']body = { "size": 10, "query": {     "term" : {         "user" : user     } }, "sort": [     {"date": "asc"},     {"_uid": "desc"} ]        }result = es.search(index=es_index, doc_type=documento, body= body)bookmark = [result['hits']['hits'][-1]['sort'][0], str(result['hits']['hits'][-1]['sort'][1]) ]body1 = {"size": 10, "query": {     "term" : {         "user" : user     } }, "search_after": bookmark, "sort": [     {"date": "asc"},     {"_uid": "desc"} ]        }while len(result['hits']['hits']) < size:    res =es.search(index=es_index, doc_type=documento, body= body1)    for el in res['hits']['hits']:        result['hits']['hits'].append( el )    bookmark = [res['hits']['hits'][-1]['sort'][0], str(result['hits']['hits'][-1]['sort'][1]) ]    body1 = {"size": 10, "query": {     "term" : {         "user" : user     } }, "search_after": bookmark, "sort": [     {"date": "asc"},     {"_uid": "desc"} ]        }

然后，您将找到附加到

result

如果您想在此处使用

scroll query

from elasticsearch import Elasticsearch, helperses = Elasticsearch()es_index = "your_index_name"documento = "your_doc_type"user = "Francesco Totti"body = {        "query": {        "term" : { "user" : user }   }        }res = helpers.scan(     client = es,     scroll = '2m',     query = body,      index = es_index)for i in res:    print(i)