[英]Arango wildcard query
I am working on building a simple arango query where if the user enters: "foo bar" (starting to type Foo Barber), the query returns results.我正在构建一个简单的 arango 查询,如果用户输入:“foo bar”(开始输入 Foo Barber),查询将返回结果。 The issue I am running in to is going from a normal single space separated string (ie imagine LET str = "foo barber" at the top), to having multiple wildcard queries like shown below.
我遇到的问题是从普通的单个空格分隔的字符串(即想象顶部的 LET str = "foo barber")到有多个通配符查询,如下所示。
Also, open to other queries that would work for this, ie LIKE, PHRASE or similar.此外,对适用于此的其他查询开放,例如 LIKE、PHRASE 或类似的查询。
The goal is when we have a single string like 'foo bar', search results are returned for Foo Barber and similar.目标是当我们有一个像 'foo bar' 这样的字符串时,返回 Foo Barber 和类似的搜索结果。
FOR doc IN movies SEARCH PHRASE(doc.name,
[
{WILDCARD: ["%foo%"]},
{WILDCARD: ["%bar%"]}
], "text_en") RETURN doc
If you want to find Black Knight
but not Knight Black
if the search phrase is black kni
, then you should probably avoid tokenizing Analyzers such as text_en
.如果您想在搜索短语是
black kni
时找到Black Knight
而不是Knight Black
,那么您可能应该避免对诸如text_en
类的分析器进行标记。
Instead, create a norm
Analyzer that removes diacritics and allows for case-insensitive searching.相反,创建一个
norm
分析器来删除变音符号并允许不区分大小写的搜索。 In arangosh:在阿兰戈什语中:
var analyzers = require("@arangodb/analyzers");
analyzers.save("norm_en", "norm", {"locale": "en_US.utf-8", "accent": false, "case": "lower"}, []);
Add the Analyzer in the View definition for the desired field (should be title
and not name
, shouldn't it?).在所需字段的视图定义中添加分析器(应该是
title
而不是name
,不是吗?)。 You should then be able to run queries like:然后,您应该能够运行以下查询:
FOR doc IN movies SEARCH ANALYZER(STARTS_WITH(doc.title, TOKENS("Black Kni", "norm_en")[0]), "norm_en") RETURN doc
FOR doc IN movies SEARCH ANALYZER(LIKE(doc.title, TOKENS("Black Kni%", "norm_en")[0]), "norm_en") RETURN doc
FOR doc IN movies SEARCH ANALYZER(LIKE(doc.title, CONCAT(TOKENS(SUBSTITUTE("Black Kni", ["%", "_"], ["\\%", "\\_"]), "norm_en")[0], "%")), "norm_en") RETURN doc
The search phrase Black Kni
is normalized to black kni
and then used for a prefix search, either using STARTS_WITH()
or LIKE()
with a trailing wildcard %
.搜索短语
Black Kni
被规范化为black kni
,然后用于前缀搜索,使用STARTS_WITH()
或LIKE()
与尾随通配符%
。 The third example escapes user-entered wildcard characters.第三个示例转义用户输入的通配符。
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.