1
我的感覺查詢：我想計算elasticsearch中特定字段的文檔數量。我使用感
GET testindexnew1/_search
{
"fields": ["T","U", "UD", "UE", "gsaentity_executives","extension.viewport","extension.google-site-verification","extension.og:description"],
"query": {
"bool": {
"should": [
{ "match": { "gsaentity_executives": "firstname lastname" }},
{ "match": { "gsaentity_executives": "firstname2 lastname2" }}
]
}
},
"size": 10,
"aggs": {
"tags": {
"significant_terms": {
"field": "newContent"
}
}
},
"highlight" : {
"fields" : {
"newContent" : {"fragment_size" : 150, "number_of_fragments" : 1}
}
}
}
我使用匹配查詢匹配高管的名字「姓」和「FIRSTNAME2 lastname2」。另外，我使用術語聚合來返回文檔數量。結果我得到的樣子：
{
"took": 31,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 6,
"max_score": 4.021257,
"hits": [
{
"_index": "testindexnew1",
"_type": "SearchTech",
"_id": "http://www.searchtechnologies.com/blog",
"_score": 4.021257,
"fields": {
"U": [
"http://www.searchtechnologies.com/blog"
],
"extension.google-site-verification": [
"jP1bIfjuuyZUYfTkYc_O6ZlTHxCm07voTDcMk72Z8oQ"
],
"T": [
"Search and Big Data Insights - Search Technologies Blog"
],
"UD": [
"http://www.searchtechnologies.com/blog"
],
"extension.viewport": [
"width=device-width, initial-scale=1, maximum-scale=1"
],
"gsaentity_executives": [
"firstname lastname, firstname2 lastname2"
],
"UE": [
"http://www.searchtechnologies.com/blog"
],
"extension.og:description": [
"Search Technologies is the largest IT services company dedicated to enterprise search and big data implementation, consulting and managed Services"
]
}
},
{
"_index": "testindexnew1",
"_type": "SearchTech",
"_id": "http://www.searchtechnologies.com/executive-team",
"_score": 2.0106285,
"fields": {
"U": [
"http://www.searchtechnologies.com/executive-team"
],
"extension.google-site-verification": [
"jP1bIfjuuyZUYfTkYc_O6ZlTHxCm07voTDcMk72Z8oQ"
],
"T": [
"Search Technologies Executive Team"
],
"UD": [
"http://www.searchtechnologies.com/executive-team"
],
"extension.viewport": [
"width=device-width, initial-scale=1, maximum-scale=1"
],
"gsaentity_executives": [
"firstname lastname, firstname2 lastname2"
],
"UE": [
"http://www.searchtechnologies.com/executive-team"
],
"extension.og:description": [
"Our executive team is the most experienced in the search and analytics business with an average of more than 18 years experience"
]
}
},
{
"_index": "testindexnew1",
"_type": "SearchTech",
"_id": "http://www.searchtechnologies.com/solr-hadoop-integration",
"_score": 1.3831896,
"fields": {
"U": [
"http://www.searchtechnologies.com/solr-hadoop-integration"
],
"extension.google-site-verification": [
"jP1bIfjuuyZUYfTkYc_O6ZlTHxCm07voTDcMk72Z8oQ"
],
"T": [
"Solr | Hadoop Integration"
],
"UD": [
"http://www.searchtechnologies.com/solr-hadoop-integration"
],
"extension.viewport": [
"width=device-width, initial-scale=1, maximum-scale=1"
],
"gsaentity_executives": [
"firstname2 lastname2"
],
"UE": [
"http://www.searchtechnologies.com/solr-hadoop-integration"
],
"extension.og:description": [
"Solr is the natural choice for searching over Hadoop data. Search Technologies is the leading IT services company dedicated to implementing enterprise search and unstructured big data applications."
]
}
},
{
"_index": "testindexnew1",
"_type": "SearchTech",
"_id": "http://www.searchtechnologies.com/news-adecco-improves-recruiter-efficiency-with-search",
"_score": 1.1300961,
"fields": {
"U": [
"http://www.searchtechnologies.com/news-adecco-improves-recruiter-efficiency-with-search"
],
"extension.google-site-verification": [
"jP1bIfjuuyZUYfTkYc_O6ZlTHxCm07voTDcMk72Z8oQ"
],
"T": [
"Search Technologies Helps Adecco Group Significantly Improve Recruiter Efficiency"
],
"UD": [
"http://www.searchtechnologies.com/news-adecco-improves-recruiter-efficiency-with-search"
],
"extension.viewport": [
"width=device-width, initial-scale=1, maximum-scale=1"
],
"gsaentity_executives": [
"firstname lastname"
],
"UE": [
"http://www.searchtechnologies.com/news-adecco-improves-recruiter-efficiency-with-search"
],
"extension.og:description": [
"Custom Search and Match application based on Cloudera and Solr improves Adecco's recruiters' response times and fill rates."
]
}
},
{
"_index": "testindexnew1",
"_type": "SearchTech",
"_id": "http://www.searchtechnologies.com/search-big-data-videos",
"_score": 1.1300961,
"fields": {
"U": [
"http://www.searchtechnologies.com/search-big-data-videos"
],
"extension.google-site-verification": [
"jP1bIfjuuyZUYfTkYc_O6ZlTHxCm07voTDcMk72Z8oQ"
],
"T": [
"Enterprise Search & Big Data Videos"
],
"UD": [
"http://www.searchtechnologies.com/search-big-data-videos"
],
"extension.viewport": [
"width=device-width, initial-scale=1, maximum-scale=1"
],
"gsaentity_executives": [
"firstname lastname"
],
"UE": [
"http://www.searchtechnologies.com/search-big-data-videos"
],
"extension.og:description": [
"A collection of videos discussing enterprise search and big data concepts, business applications, and real-world case stories."
]
}
},
{
"_index": "testindexnew1",
"_type": "SearchTech",
"_id": "http://www.searchtechnologies.com/faq",
"_score": 1.1300961,
"fields": {
"U": [
"http://www.searchtechnologies.com/faq"
],
"extension.google-site-verification": [
"jP1bIfjuuyZUYfTkYc_O6ZlTHxCm07voTDcMk72Z8oQ"
],
"T": [
"Search Technologies: Frequently Asked Questions (FAQ)"
],
"UD": [
"http://www.searchtechnologies.com/faq"
],
"extension.viewport": [
"width=device-width, initial-scale=1, maximum-scale=1"
],
"gsaentity_executives": [
"firstname lastname"
],
"UE": [
"http://www.searchtechnologies.com/faq"
],
"extension.og:description": [
"Search Technologies FAQ: Where did Search Technologies come from? What are our key differentiators? How do our customers view us?"
]
}
}
]
},
"aggregations": {
"tags": {
"doc_count": 6,
"buckets": [
{
"key": "lastname",
"doc_count": 5,
"score": 13.055555555555557,
"bg_count": 5
},
{
"key": "firstname",
"doc_count": 5,
"score": 13.055555555555557,
"bg_count": 5
},
{
"key": "ceo",
"doc_count": 5,
"score": 13.055555555555557,
"bg_count": 5
},
{
"key": "lastname2",
"doc_count": 3,
"score": 7.833333333333333,
"bg_count": 3
},
{
"key": "candidates",
"doc_count": 4,
"score": 6.7407407407407405,
"bg_count": 6
},
{
"key": "retention",
"doc_count": 3,
"score": 5.75,
"bg_count": 4
},
{
"key": "firstname2",
"doc_count": 3,
"score": 5.75,
"bg_count": 4
},
{
"key": "known",
"doc_count": 3,
"score": 5.75,
"bg_count": 4
},
{
"key": "it’s",
"doc_count": 3,
"score": 5.75,
"bg_count": 4
},
{
"key": "said",
"doc_count": 3,
"score": 5.75,
"bg_count": 4
}
]
}
}
}
你可以從我得到的文檔計數姓氏，FIRSTNAME2，lastname2等單獨的結果看。
"aggregations": {
"tags": {
"doc_count": 6,
"buckets": [
{
"key": "lastname",
"doc_count": 5,
"score": 13.055555555555557,
"bg_count": 5
},
{
"key": "firstname",
"doc_count": 5,
"score": 13.055555555555557,
"bg_count": 5
},
我想我的查詢數整個高管的名字「姓」，「FIRSTNAME2 lastname2」等文件，但我得到的文件爲行政姓和名分開計算。
我是ES新手，所以我可能錯過了一些東西。謝謝你的幫助！
它的工作。非常感謝。 – Rose