elasticsearch match all

This article is translated from the proximity matching chapter of the official Elasticsearch guide.Proximity matches (Proximity Matching)A standard full-text search using TF/IDF the document, or at least every field in the document, as a "big bag of words" (big bags of Words). The match query tells us if our search terms are included in this bag, but this is only one aspect. It cannot tell us any informatio

This article is translated from the proximity matching chapter of the official Elasticsearch guide.Proximity matches (Proximity Matching)A standard full-text search using TF/IDF the document, or at least every field in the document, as a "big bag of words" (big bags of Words). The match query tells us whether our search terms are included in this bag, but this is only one aspect. It doesn't tell us any info

gets the list of documents that contain the entry, in which case the document is 1 2 3 returned. Score each documenttermThe query calculates its relevance score for each matching document, which is calculated _score by taking into account the frequency of the entry (term Frequency) (the frequency of occurrences in the "quick" field of each document that matches title ), and the frequency of the rewind (inverted document Frequency) (the extent to which the "quick" fields of

This chapter is translated from the partial matching chapter of the official Elasticsearch guide.Instant Search during query (Query-time search-as-you-type)Now let's look at how prefix matching can help with full-text search. The user is accustomed to seeing the search results before completing the input-this is called an Instant Search (Instant search, or Search-as-you-type). This not only allows users to see search results in less time, but also lea

work exactly the same way as prefix queries. They also need to traverse the list of entries in the inverted index to find all the matching entries, and then collect the corresponding document IDs on a per-entry basis. The only difference between them and prefix queries is that they can support more complex schemas.This also means that there is the same risk of using them. It is very resource-intensive to run such queries on a field that contains many

order to meet our expectations. But: {"Query": {"term ": {"name": "Cancer Medicine"} } } The results are still empty, we change the search conditions, enter "internal medicine", the resulting is still empty. However, when we enter any word in "swollen" or "oncology", we can get the result of "oncology", and at the same time, "Inside" and "section" will have all the data containing the word "Inside" and "section". 2.2 Analysis Reasons Th

[Elasticsearch] adjacent match (3)-performance, associated word query and ShinglesImprove Performance Phrase and closeness queries are more expensive than simple match queries. The match query only checks whether the entry exists in the Inverted Index, while the match_phrase Query Needs to calculate and compare Multipl

[Elasticsearch] adjacent match (2)-multi-value field, degree of closeness and relevanceMultivalue Fields) Using phrase matching on multi-value fields produces odd behavior: PUT /my_index/groups/1{ "names": [ "John Abraham", "Lincoln Smith"]} Run a phrase query for Abraham Lincoln: GET /my_index/groups/_search{ "query": { "match_phrase": { "names": "Abraham Lincoln" } }} Sur

Regular Expression match (obtain) All table names, regular expression matchDocument directory Write all the table names matching the SQL statement. Return to the directory and write all the table names matching the SQL statement. The regular expression is as follows: \ * \ S + from \ s + [\ w \ [\] * \.? [\ W \

ElasticSearch exposes the Local Arbitrary File Read vulnerability, affecting all versions earlier than 1.4.5 and 1.5.2. Recently, exploit-db has revealed the Local Arbitrary File Read vulnerability caused by Path Transversal, which affects all versions earlier than 1.4.5 and 1.5.2. I tried several times on zoomeye and found that the affected area of the vulnerabi

JQuery fuzzy match checkbox select all values to achieve partial or all checkbox selections This article summarizes jQuery's ability to select all three checkbox conditions. First: equi-all, also known as name equi-all, is achieve

"," ext41 ":" src=10.0.0.1 dst=2.1.2.2 spt= 1232 "," Ext9 ":" src=10.0.0.1 dst=2.1.2.2 spt=1232 "}} ]}}As you can see, there will be an extension ext linked fields (not just ext), sometimes three, sometimes one, or even 10, in the rear.Now the way I parse it isdecoded = Json_decode ($json); Decode JSON$results = $decoded->hits->hits;foreach ($results as $item) {$id = $item->_id; Get the ID$version = $item->_source->version; Get the version$user = $item->_source->user; Get the user$device _vendo

PHP preg_replace () Regular replacement, unlike JavaScript regular substitution, PHP preg_replace () is the default is to replace all symbol matching conditions of the elements need our program processing data is not always pre-designed database thinking, Or it cannot be stored using the structure of the database.such as template engine parsing template, garbage sensitive information filtering and so on.In general, we use regular rules to

"\ r". * Matches the preceding subexpression 0 or more times. For example, zo* can match "z" and "Zoo". * Equivalent to {0,}. + Matches the preceding subexpression one or more times. For example, "zo+" can Match "Zo" and "Zoo", but not "Z". + equivalent to {1,}. ? Matches the preceding subexpression 0 or one time. For example, "Do (es)?" You can

The code is as follows: String line = "October 11, 2016 Where do we go to play recently we recently, the following year, the same years, October, 2019, March 4" pattern Datepattern = Pattern.compile ("\\d{4} year \\d {1,2} month \\d{1,2} Day |\\d{4} year \\d{1,2} |\\d{1,2} month \\d{1,2} Day |\\d{4} |\\d{1,2} month | The same year | The following week | recently | recently "); Matcher datematcher = Datepattern.matcher (line); int datecount = 0; while (Datematcher.find ()) { System.out.pri

The example of this article tells JS is matching all pictures and image address Src method. Share to everyone for your reference. The specific analysis is as follows: There are a lot of times we need to use the picture in the article, and mainly use its image address, this time we need to go through the regular match out of the picture tag, and then do the data we need Usually also not how to use regular,

Implementation: Through JS regular match out all pictures and all pictures address src. Train of thought: 1. Match the image of the IMG tag (that is, match all the pictures), filter other unwanted characters 2. From the matching

@media is the new definition of CSS3, the function is very powerful, the following simple to explain the CSS3 @media orientation matching phone screen is horizontal or vertical screen. As the name suggests, the PC is unable to match the screen, so orientation only works on mobile devices. 1. Head statement Add to 2. Media Match screen is horizontal screen or vertical screen@media

A regular expression is a special sequence of characters that can help you easily check whether a string matches a pattern.Python has added the RE module since version 1.5, which provides a Perl-style regular expression pattern.The RE module enables the Python language to have all the regular expression functionality.The compile function generates a regular expression object based on a pattern string and an optional flag parameter. The object has a se

Array (100-10, -50,200-20, 300-30, 30) asks for a match to the regular of all members of this array Reply to discussion (solution) $arr = Array (' 100-10 ', ' -50 ', ' 200-20 ', ' 300-30 ', ' -30 '); $b = Array (); foreach ($arr as $value) {if (Preg_match ("/[\d-]+/", $ Value, $match)) {Array_push ($b, $match);