在弹性搜索上查询多级嵌套字段

Question

我是Elastic Search和非SQL范例的新手.我一直在关注ES教程,但有一件事我无法工作.

在下面的代码中(我使用PyES与ES交互)我创建了一个带有嵌套字段(主题)的单个文档,其中包含另一个嵌套字段(概念).

from pyes import *

conn = ES('127.0.0.1:9200')  # Use HTTP

# Delete and Create a new index.
conn.indices.delete_index("documents-index")
conn.create_index("documents-index")

# Create a single document.
document = {
    "docid": 123456789,
    "title": "This is the doc title.",
    "description": "This is the doc description.",
    "datepublished": 2005,
    "author": ["Joe", "John", "Charles"],
    "subjects": [{
                    "subjectname": 'subject1',
                    "subjectid": [210, 311, 1012, 784, 568],
                    "subjectkey": 2,
                    "concepts": [
                                    {"name": "concept1", "score": 75},
                                    {"name": "concept2", "score": 55}
                                  ]
                },
                {
                    "subjectname": 'subject2',
                    "subjectid": [111, 300, 141, 457, 748],
                    "subjectkey": 0,
                    "concepts": [
                                    {"name": "concept3", "score": 88},
                                    {"name": "concept4", "score": 55},
                                    {"name": "concept5", "score": 66}
                                  ]
                }],
    }


# Define the nested elements.
mapping1 = {
            'subjects': {
                'type': 'nested'
            }
        }
mapping2 = {
            'concepts': {
                'type': 'nested'
            }
        }
conn.put_mapping("document", {'properties': mapping1}, ["documents-index"])
conn.put_mapping("subjects", {'properties': mapping2}, ["documents-index"])


# Insert document in 'documents-index' index.
conn.index(document, "documents-index", "document", 1)

# Refresh connection to make queries.
conn.refresh()

我能够查询主题嵌套字段:

query1 = {
    "nested": {
        "path": "subjects",
        "score_mode": "avg",
        "query": {
            "bool": {
                "must": [
                    {
                        "text": {"subjects.subjectname": "subject1"}
                    },
                    {
                        "range": {"subjects.subjectkey": {"gt": 1}}
                    }
                ]
            }
        }
    }
}


results = conn.search(query=query1)
for r in results:
    print r  # as expected, it returns the entire document.

但我无法弄清楚如何基于概念嵌套字段进行查询.

ES 文档指的是

自动支持并检测多级嵌套,从而导致内部嵌套查询自动匹配相关嵌套级别(而不是根),如果它存在于另一个嵌套查询中.

所以,我尝试使用以下格式构建查询:

query2 = {
        "nested": {
            "path": "concepts",
            "score_mode": "avg",
            "query": {
                "bool": {
                    "must": [
                        {
                            "text": {"concepts.name": "concept1"}
                        },
                        {
                           "range": {"concepts.score": {"gt": 0}}
                        }
                    ]
                }
            }
        }
}

返回0结果.

我无法弄清楚缺少什么,我没有找到任何基于两个嵌套级别的查询示例.

Answer 1

好吧,在尝试组合音后,我终于使用以下查询得到它:

query3 = {
    "nested": {
        "path": "subjects",
        "score_mode": "avg",
        "query": {
            "bool": {
                "must": [
                    {
                        "text": {"subjects.concepts.name": "concept1"}
                    }
                ]
            }
        }
    }
}

因此,无论嵌套属性级别如何,嵌套路径属性(主题)始终相同,并且在查询定义中,我使用了属性的完整路径(subject.concepts.name).