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mongodb - Elasticsearch嵌套查询

转载 作者:行者123 更新时间:2023-12-03 00:28:46 25 4
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我是Elasticsearch的新手,设法设置了它,并使用river插件从mongodb集合中导入了记录集。首先,我想针对“desc”字段进行查询,但是无法管理查询..不确定问题是否由定义索引的方式驱动..有人可以帮忙吗?

flex 搜索中的样本记录集如下所示

{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 107209,
"max_score": 1,
"hits": [
{
"_index": "shiv",
"_type": "shiv",
"_id": "iG1eIzN7RGO7hFfxTlnLuA",
"_score": 1,
"_source": {
"_id": {
"$oid": "50901d7f485bf7bd1c000021"
},
"brand": "",
"category": {
"$ref": "categories",
"$id": {
"$oid": "4fbd2221758cb11d14000174"
}
},
"comments": [],
"count_comment": 0,
"count_fav": 2,
"count_hotness": 1.46,
"count_rekick": 0,
"count_share": 0,
"country": {
"$ref": "countries",
"$id": {
"$oid": "4fec98f7758cb18c6e0002c9"
}
},
"currency": "pound",
"desc": "A men's automatic watch, this Seamaster Bond model features a Co-Axial escapement and date function. Its blue dial is teamed with a stainless steel case and bracelet for a look that's sporty and refined.",
"gender": "male",
"ident": "omega-seamaster-diver-bond-men-s-automatic-watch---ernest-jones-1351622015",
"img_url": "http://s7ondemand4.scene7.com/is/image/Signet/5735793?$detail$",
"lifestyles": [
{
"$ref": "lifestyles",
"$id": {
"$oid": "508ff6ca485bf73112000060"
}
}
],
"location": "United Kingdom",
"owner": {
"$ref": "accounts",
"$id": {
"$oid": "50742fd8485bf74b7a00213f"
}
},
"price": 2400,
"store": "ernestjones.co.uk",
"tags": [
"ernest-jones",
"bond"
],
"timestamp_creation": 1351622015,
"timestamp_exp": 1356825600,
"timestamp_update": 1351622015,
"title": "Omega Seamaster Diver Bond men's automatic watch - Ernest Jones",
"url": "http%3A%2F%2Fwww.ernestjones.co.uk%2Fwebstore%2Fd%2F5735793%2Fomega%20seamaster%20diver%20bond%20men%27s%20automatic%20watch%2F%3Futm_source%3Dgooglebase%26utm_medium%3Dfeedmanager%26cm_mmc%3DFroogle-_-CKB-_-nurses_fobs-_-watches%26cm_mmca1%3Domega%26cm_mmca2%3Dmale%26cm_mmca3%3Dadult"
}
}
]
}
}

索引“shiv”的映射看起来像
{
"shiv": {
"properties": {
"$oid": {
"type": "string"
}
}
}
}

再次感谢

最佳答案

lots of ways to query,您是否尝试过匹配查询?

使用curl或您选择的其他客户...
http:// [主机]:9200 / [index_name] / [doc_type] / _ search

    {
"query" : {
"match" : {
"desc" : "some value you want to find in desc"
}
}
}

关于mongodb - Elasticsearch嵌套查询,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/19620862/

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