python - 用于Elastic Search的Python API-每次响应10000

client = Elasticsearch([host1, host2], http_auth=(user, password), scheme="http", port=port)
response = client.search(index="complats*", body={"from": 0, "size": 10000, "query": {
            "bool": {
                "must": [
                    {
                        "query_string": {
                            "query": "tags:\"prod\" AND severity:\"INFO\" AND service:\"abc-service\" AND msg:\"* is processed\"",
                            "fields": [],
                            "type": "best_fields",
                            "default_operator": "or",
                            "max_determinized_states": 10000,
                            "enable_position_increments": "true",
                            "fuzziness": "AUTO",
                            "fuzzy_prefix_length": 0,
                            "fuzzy_max_expansions": 50,
                            "phrase_slop": 0,
                            "escape": "false",
                            "auto_generate_synonyms_phrase_query": "true",
                            "fuzzy_transpositions": "true",
                            "boost": 1.0
                        }
                    },
                    {
                        "range": {
                            "@timestamp": {
                                "from": "now-{}s".format((now.minute + 1) * 60),
                                "to": "now",
                                "include_lower": "true",
                                "include_upper": "true",
                                "boost": 1.0
                            }
                        }
                    }
                ],
                "adjust_pure_negative": "true",
                "boost": 1.0
            }
        }})
value = response['hits']['total']['value']
print(value)

上面的查询已成功连接到elasticsearch，但每次返回的值都不正确或10000。这有什么问题吗？我读过某个地方的python中的elasticsearch模块有一个错误，该错误最大可以达到10000。还有其他人遇到这个问题吗？如果是，您如何解决？
提前致谢!

最佳答案

它不是python库错误，不能返回超过10000个结果，这是从Lucene继承的设置。如果您需要更多结果，则应使用search_after查询进行分页，或者使用scroll查询进行单个重搜索，这取决于您的用例。看看我的响应here，以查看使用python实现这些查询的示例

关于python - 用于Elastic Search的Python API-每次响应10000，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/59503012/