这是我使用python客户端发现的最佳解决方案

  # Initialize the scroll
  page = es.search(
  index = 'yourIndex',
  doc_type = 'yourType',
  scroll = '2m',
  search_type = 'scan',
  size = 1000,
  body = {
    # Your query's body
    })
  sid = page['_scroll_id']
  scroll_size = page['hits']['total']

  # Start scrolling
  while (scroll_size > 0):
    print "Scrolling..."
    page = es.scroll(scroll_id = sid, scroll = '2m')
    # Update the scroll ID
    sid = page['_scroll_id']
    # Get the number of results that we returned in the last scroll
    scroll_size = len(page['hits']['hits'])
    print "scroll size: " + str(scroll_size)
    # Do something with the obtained page

https://gist.github.com/drorata/146ce50807d16fd4a6aa

使用java客户端

import static org.elasticsearch.index.query.QueryBuilders.*;

QueryBuilder qb = termQuery("multi", "test");

SearchResponse scrollResp = client.prepareSearch(test)
        .addSort(FieldSortBuilder.DOC_FIELD_NAME, SortOrder.ASC)
        .setScroll(new TimeValue(60000))
        .setQuery(qb)
        .setSize(100).execute().actionGet(); //100 hits per shard will be returned for each scroll
//Scroll until no hits are returned
do {
    for (SearchHit hit : scrollResp.getHits().getHits()) {
        //Handle the hit...
    }

    scrollResp = client.prepareSearchScroll(scrollResp.getScrollId()).setScroll(new TimeValue(60000)).execute().actionGet();
} while(scrollResp.getHits().getHits().length != 0); // Zero hits mark the end of the scroll and the while loop.

https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/java-search-scrolling.html

elasticsearch(ES)既支持GET请求，也支持POST请求，以便从ES集群索引中获取数据。

当我们执行GET操作时:

http://localhost:9200/[your index name]/_search?size=[no of records you want]&q=*:*

当我们做POST时:

http://localhost:9200/[your_index_name]/_search
{
  "size": [your value] //default 10
  "from": [your start index] //default 0
  "query":
   {
    "match_all": {}
   }
}   

我建议使用elasticsearch http://mobz.github.io/elasticsearch-head/的UI插件 这将帮助您更好地了解您创建的索引，并测试您的索引。

使用kibana控制台和my_index作为搜索索引，可以提供以下内容。要求索引只返回索引的4个字段，您还可以添加大小来指示您希望由索引返回多少文档。从ES 7.6开始，你应该使用_source而不是filter，它会响应更快。

GET /address/_search
 {
   "_source": ["streetaddress","city","state","postcode"],
   "size": 100,
   "query":{
   "match_all":{ }
    }   
 }

使用server:9200/_stats也可以获得所有别名的统计信息。就像每个别名的大小和元素数量一样，这非常有用，并提供了有用的信息

使用python包elasticsearch-dsl的简单解决方案:

from elasticsearch_dsl import Search
from elasticsearch_dsl import connections

connections.create_connection(hosts=['localhost'])

s = Search(index="foo")
response = s.scan()

count = 0
for hit in response:
    # print(hit.to_dict())  # be careful, it will printout every hit in your index
    count += 1

print(count)

参见https://elasticsearch-dsl.readthedocs.io/en/latest/api.html#elasticsearch_dsl.Search.scan。

你可以使用_count API来获取size参数的值:

http://localhost:9200/foo/_count?q=<your query>

返回{count:X，…}。提取值'X'，然后执行实际查询:

http://localhost:9200/foo/_search?q=<your query>&size=X