booleanquery

ElasticSearch filter by nested boolean type fields

和自甴很熟 提交于 2021-01-29 14:22:51
问题 I need to query on multiple nested fields on boolean types. Structure of mapping: "mappings" : { "properties" : { "leaders" : { "type" : "nested", "properties" : { "except_1" : { "type" : "boolean" }, "except_2" : { "type" : "boolean" }, "counter" : { "type" : "integer" } } } } } I am trying to use query both except1 and except2 only to False . Below my try, unfortunately it returns True and False for both fields and I cannot fix it. "query": { "nested": { "path": "leaders", "query": { "bool"

Assign a higher score to matches containing the search query at an earlier position in elasticsearch

烈酒焚心 提交于 2020-05-17 07:46:07
问题 This question is similar to my other question enter link description here which Val answered. I have an index containing 3 documents. { "firstname": "Anne", "lastname": "Borg", } { "firstname": "Leanne", "lastname": "Ray" }, { "firstname": "Anne", "middlename": "M", "lastname": "Stone" } When I search for "Ann", I would like elastic to return all 3 of these documents (because they all match the term "Ann" to a degree). BUT, I would like Leanne Ray to have a lower score (relevance ranking)

What is difference between match and bool must match query in Elasticsearch

不羁岁月 提交于 2020-05-14 01:00:26
问题 What is the difference between Only match and bool must match query in ES? First, Only use the match query { "query":{ "match":{ "address":"mill" } } } Second, use compound query { "query": { "bool": { "must": [ { "match": { "address": "mill" } } ] } } } Can you tell me everything? What is difference between them? 回答1: When you use only one match inside a bool must clause then there is no difference, the bool clause is useful when you want to combine multiple(boolean) criteria, more info on

How to properly write boolean or logic in elasticsearch?

孤街浪徒 提交于 2019-12-23 16:30:03
问题 I want to grab all documents with loId=6 AND (actionType = "SAVE_DATA" OR actionType = "OPEN_SCREEN") . Am I writing this logic incorrectly? Why does my query return 0 results? Note : I'd accept a query or a filter to resolve this issue. These are some sample documents: { "_index": "logs", "_type": "record", "_id": "eIIt3vtrSxmdOVGClQmN3w", "_score": 1, "_source": { "timestamp": 1373569919000, "uid": 6, "paId": 56298, "loId": 6, "prId": 2, "vId": 6577, "actionType": "SAVE_DATA" } }, { "_index

How can i get count of number of rows that have boolean value true(or 1) in Room persistent database without using SELECT query?

冷暖自知 提交于 2019-12-12 07:46:45
问题 I am working with Room persistent database in my project. I have a table in which there is a column for Boolean values as in 0 or 1, now i want the count of all Boolean values whose value is true (or 1). I know that i can achieve this using select query by getting the count of all selected rows using where clause! But i don't want to use Select query with where clause for this because it will load all the rows and then i will get the count, but i want the count without loading any rows!

Nest Elastic - Building Dynamic Nested Query

女生的网名这么多〃 提交于 2019-12-10 17:55:03
问题 I have to query a nested object using Nest, however the query is built in dynamic way. Below is code that demonstrate using query on nested "books" in a static way QueryContainer qry; qry = new QueryStringQuery() { DefaultField = "name", DefaultOperator = Operator.And, Query = "salman" }; QueryContainer qry1 = null; qry1 = new RangeQuery() // used to search for range ( from , to) { Field = "modified", GreaterThanOrEqualTo = Convert.ToDateTime("21/12/2015").ToString("dd/MM/yyyy"), };

Nest ElasticSearch: Boolean Search using Nested Query and Nested Objects

大憨熊 提交于 2019-12-08 12:50:26
问题 I am using Nest Elastic and building the query for a Boolean search using Head plugin , i am combining multiple queries Notes about DB Structure and Elastic Mapping Each document in the database is linked to specific profileId which in turn has multiple attributes Each document has multiple attribute values associated with it In this query, i am trying to get all documents which has specific profile and attribute value > 30 keeping in mind that this attribute should have the attribute Id 2

Elastic query DSL: Wildcards in terms filter?

只愿长相守 提交于 2019-12-03 11:21:53
问题 I am trying to filter the documents using terms filter. I am not sure how to introduce wildcards in filter. I tried something like this: "filter":{ "bool":{ "must":{ "terms":{ "wildcard" : { "aircraft":[ "a380*" ] } } } } } But I get SearchParseException with this. Is there no way to use wildcard within filter framework? 回答1: The terms filter doesn't support wildcards, queries do, though. Try this query instead { "query": { "bool": { "must": { "wildcard": { "aircraft": "a380*" } } } } } Or if

How can i get count of number of rows that have boolean value true(or 1) in Room persistent database without using SELECT query?

只愿长相守 提交于 2019-12-03 11:20:22
I am working with Room persistent database in my project. I have a table in which there is a column for Boolean values as in 0 or 1, now i want the count of all Boolean values whose value is true (or 1). I know that i can achieve this using select query by getting the count of all selected rows using where clause! But i don't want to use Select query with where clause for this because it will load all the rows and then i will get the count, but i want the count without loading any rows! Suggest other simple solutions please! Thank you! Finally I got the perfect solution! Just add this method

Elastic query DSL: Wildcards in terms filter?

坚强是说给别人听的谎言 提交于 2019-12-03 01:49:32
I am trying to filter the documents using terms filter. I am not sure how to introduce wildcards in filter. I tried something like this: "filter":{ "bool":{ "must":{ "terms":{ "wildcard" : { "aircraft":[ "a380*" ] } } } } } But I get SearchParseException with this. Is there no way to use wildcard within filter framework? The terms filter doesn't support wildcards, queries do, though. Try this query instead { "query": { "bool": { "must": { "wildcard": { "aircraft": "a380*" } } } } } Or if you absolutely need to use filters, you can try the regexp filter, too: { "query": { "filtered": { "filter"