Can anyone provide me with a solution for extracting the word "google" from a link like http://drive.google.com?
Currently, I am using the following search query:
query: {
bool : {
must: {
match: { text: 'google'}
}
}
}
However, this query only matches if the entire text is 'google' (ignoring case sensitivity). Is there a way to match only the occurrence of 'google' within another string?
The key point to remember about the ElasticSearch regex you are utilizing is that it requires a full string match:
Lucene’s patterns are always anchored. The pattern provided must match the entire string.
Therefore, to match any character (except for a newline), the .* pattern should be used:
match: { text: '.*google.*'}
^^ ^^
In ES6 and later versions, opt for using regexp instead of match:
"query": {
"regexp": { "text": ".*google.*"}
}
Another option arises when dealing with strings containing newlines:
match: { text: '(.|\n)*google(.|\n)*'}(.|\n)* construct is necessary in ElasticSearch due to limitations on shortcuts like [\s\S], as well as restrictions on DOTALL/Singleline flags. "The Lucene regular expression engine is not Perl-compatible but supports a smaller range of operators."
However, if your intention does not involve complex pattern matching and excludes word boundary checks, opting for a simple wildcard search would suffice:
{
"query": {
"wildcard": {
"text": {
"value": "*google*",
"boost": 1.0,
"rewrite": "constant_score"
}
}
}
}
Refer to Wildcard search for further information.
NOTE: It is imperative to realize that the wildcard pattern must encompass the entire input string, hence
google* locates all strings beginning with google*google* identifies all strings containing google*google pinpoints all strings ending with googleAdditionally, take into consideration the exclusive pair of special characters in wildcard expressions:
?, which matches any single character
*, which can match zero or more characters, even none at all
Try implementing a wildcard query for searching:
'{"query":{ "wildcard": { "text.keyword" : "*google*" }}}'
Both partial and full text matching can be achieved using the following method:
"query" : {
"query_string" : {
"query" : "*searchText*",
"fields" : [
"fieldName"
]
}
I've been searching for a way to disable regular expressions in the latest update, but using match: { text: '.*google.*'} doesn't seem to be effective on my Elasticsearch 6.2 clusters. Is there a setting that can be adjusted for this?
However, I have found that utilizing the Regexp feature works well:
"query": {
"regexp": { "text": ".*google.*"}
}
To achieve partial matching, you have the option of utilizing either prefix or match_phrase_prefix.
To achieve a more versatile solution, consider exploring alternative analyzers or crafting your own. It seems like you are currently utilizing the standard analyzer which breaks down http://drive.google.com into "http" and "drive.google.com". As a result, searching for just "google" is ineffective as it's attempting to match the entire "drive.google.com".
Switching to the simple analyzer during indexing would segment the text into "http", "drive", "google", and "com". This adjustment allows you to search for any of these terms individually.
When utilizing the node.js client, make sure to pay attention to the following:
tag_name refers to the field name, with its value being the incoming search value.
const { body } = await elasticWrapper.client.search({
index: ElasticIndexs.Tags,
body: {
query: {
wildcard: {
tag_name: {
value: `*${value}*`,
boost: 1.0,
rewrite: 'constant_score',
},
},
},
},
});
If you need to perform a wildcard search, here is how it can be accomplished based on the official documentation:
query_string: {
query: `*${keyword}*`,
fields: ["fieldOne", "fieldTwo"],
},
Wildcard searches allow for replacing characters with ? representing a single character and * representing zero or more characters: qu?ck bro*
It's important to proceed with caution:
Wildcard queries can consume a significant amount of memory and may result in poor performance — consider the number of terms that must be matched for a query string like "a* b* c*".
Using a wildcard at the beginning of a word (e.g., "*ing") is resource-intensive as all terms in the index are checked for potential matches. To prevent leading wildcards, disable them by setting allow_leading_wildcard to false.
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