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。

http://127.0.0.1:9200/foo/_search/?size=1000&pretty=1
                                   ^

请注意size参数，它将每个分片显示的命中数从默认值(10)增加到1000。

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-request-from-size.html

如果你想提取成千上万的记录，那么……少数人给出了使用“scroll”的正确答案(注意:一些人还建议使用“search_type=scan”。这已被弃用，并在v5.0中被移除。你不需要它)

从一个“search”查询开始，但指定一个“scroll”参数(这里我使用了1分钟的超时):

curl -XGET 'http://ip1:9200/myindex/_search?scroll=1m' -d '
{
    "query": {
            "match_all" : {}
    }
}
'

这包括你的第一批热门作品。但这还没完。上面curl命令的输出是这样的:

{"_scroll_id":"c2Nhbjs1OzUyNjE6NU4tU3BrWi1UWkNIWVNBZW43bXV3Zzs1Mzc3OkhUQ0g3VGllU2FhemJVNlM5d2t0alE7NTI2Mjo1Ti1TcGtaLVRaQ0hZU0FlbjdtdXdnOzUzNzg6SFRDSDdUaWVTYWF6YlU2Uzl3a3RqUTs1MjYzOjVOLVNwa1otVFpDSFlTQWVuN211d2c7MTt0b3RhbF9oaXRzOjIyNjAxMzU3Ow==","took":109,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":22601357,"max_score":0.0,"hits":[]}}

重要的是要有_scroll_id方便，接下来你应该运行以下命令:

    curl -XGET  'localhost:9200/_search/scroll'  -d'
    {
        "scroll" : "1m", 
        "scroll_id" : "c2Nhbjs2OzM0NDg1ODpzRlBLc0FXNlNyNm5JWUc1" 
    }
    '

然而，传递scroll_id并不是设计为手动完成的。最好的办法是编写代码来实现它。例如，在java中:

    private TransportClient client = null;
    private Settings settings = ImmutableSettings.settingsBuilder()
                  .put(CLUSTER_NAME,"cluster-test").build();
    private SearchResponse scrollResp  = null;

    this.client = new TransportClient(settings);
    this.client.addTransportAddress(new InetSocketTransportAddress("ip", port));

    QueryBuilder queryBuilder = QueryBuilders.matchAllQuery();
    scrollResp = client.prepareSearch(index).setSearchType(SearchType.SCAN)
                 .setScroll(new TimeValue(60000))                            
                 .setQuery(queryBuilder)
                 .setSize(100).execute().actionGet();

    scrollResp = client.prepareSearchScroll(scrollResp.getScrollId())
                .setScroll(new TimeValue(timeVal))
                .execute()
                .actionGet();

现在在最后一个命令上使用LOOP来提取数据。

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。

官方文档提供了这个问题的答案!你可以在这里找到它。

{
  "query": { "match_all": {} },
  "size": 1
}

您只需将size(1)替换为您想要看到的结果的数量!

Elasticsearch 6.x

请求:GET /foo/_search?漂亮= true

Response:在Hits-> total中，给出文档的计数

    {
      "took": 1,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "skipped": 0,
        "failed": 0
      },
      "hits": {
        "total": 1001,
        "max_score": 1,
        "hits": [
          {