用于 Elasticsearch 的 Python API - 每次响应 10000

Question

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)

上述查询成功连接到elasticsearch，但每次都返回不正确的值或10000。这里有什么问题？我在某处读过python中的elasticsearch模块有一个错误，它的最大值为10000。还有其他人遇到过这个问题吗？如果是，你是如何解决的？
提前致谢!

Answer 1

它不是 python 库错误，不能返回超过 10000 个结果是从 lucene 继承的设置。如果您需要更多结果，您应该使用 search_after查询分页，或 scroll查询单个繁重的搜索，这取决于您的用例。看看我的回复here查看使用 python 实现这些查询的示例