Currently, I have a MongoDB instance, which contains a collection with a lot of entities. Each entity contains a string attribute, which represents some text. My goal is to provide a strict text search in the collection. It should work as a MySQL query:
SELECT *
FROM texts
WHERE text LIKE '%test%';
MongoDB text index would be great, but it doesn't provide a strict search. How I could organize a strict search for such data? Could I do some optimization?
I already checked other software (such as ElasticSearch, Lucene, MongoDB, ClickHouse), but I haven't found options to do it. Searching as now took too much time.
In mongoDB you can do it as follow:
db.texts.find({ text:/test/ })
Related
Hello everyone I reread all the documentation of full-text search and the following question arose:
How to perform an accurate word search using Postgresql ?
For example, I have 100 document titles.
Names:
Document
Document red
The document is green outdated
I want to send a "Document" request and get only the Document, and not see the rest in the search results.
This is possible by means of Postgresql FTS?
I read all the documentation on full-text search and did not see such possibilities and examples
If your concern is just not to build yet another index, you can write a FTS query to use the index, and combine it with a simple AND equality check to rule out the things the index returns but which you don't want:
WHERE doc = 'Document' AND
tsv ## phraseto_tsquery('english','Document')
(MongoDB Full Text Search)
Hello,
I have put some fields in index and this is how I could search for a search_keyword.
BasicDBObject search = new BasicDBObject("$search", "search_keyword");
BasicDBObject textSearch = new BasicDBObject("$text", search);
DBCursor cursor = users.find(textSearch);
I don't want search_keyword to be searched in all the fields specified in the index. *Is there any method to specify search_keyword to be searched in specific fields from the index??*
If so, please give me some idea how to do it in Java.
Thank you.
If you want to index a single field and search for it then it is the way it works by default. Lets say you want to index the field companyName. When you perform $text search on this collection, only the data from the companyName field will be used because you only included that field in your index.
Now the second scenario, your $text index includes more than one field. In this case you cannot limit the search to only look for values indexed from a specific field. The $text index is constructed on the collection level and a collection can have at most one $text index. Your option to limit search on specific field in this case may be to use regex instead.
MongoDB has the flexibility to fulfil requirements of other scenarios, but you can also evaluate using other technologies if your application is heavily search-driven and you are primarily after a full-text search engine for locating documents by keyword with a rich query syntax. ElasticSearch might be an alternative here. It really depends on the type of the application and your needs.
Since it is not possible to find "blueberry" by the word "blue" by using a mongodb full text search, I want to help my users to complete the word "blue" to "blueberry". To do so, is it possible to query all the words in a mongodb full text index -> that I can use the words as suggestions i.e. for typeahead.js?
Language stemming in text search uses an algorithm to try to relate words derived from a common base (eg. "running" should match "run"). This is different from the prefix match (eg. "blue" matching "blueberry") that you want to implement for an autocomplete feature.
To most effectively use typeahead.js with MongoDB text search I would suggest focusing on the prefetch support in typeahead:
Create a keywords collection which has the common words (perhaps with usage frequency count) used in your collection. You could create this collection by running a Map/Reduce across the collection you have the text search index on, and keep the word list up to date using a periodic Incremental Map/Reduce as new documents are added.
Have your application generate a JSON document from the keywords collection with the unique keywords (perhaps limited to "popular" keywords based on word frequency to keep the list manageable/relevant).
You can then use the generated keywords JSON for client-side autocomplete with typeahead's prefetch feature:
$('.mysearch .typeahead').typeahead({
name: 'mysearch',
prefetch: '/data/keywords.json'
});
typeahead.js will cache the prefetch JSON data in localStorage for client-side searches. When the search form is submitted, your application can use the server-side MongoDB text search to return the full results in relevance order.
A simple workaround I am doing right now is to break the text into individual chars stored as a text indexed array.
Then when you do the $search query you simply break up the query into chars again.
Please note that this only works for short strings say length smaller than 32 otherwise the indexing building process will take really long thus performance will be down significantly when inserting new records.
You can not query for all the words in the index, but you can of course query the original document's fields. The words in the search index are also not always the full words, but are stemmed anyway. So you probably wouldn't find "blueberry" in the index, but just "blueberri".
Don't know if this might be useful to some new people facing this problem.
Depending on the size of your collection and how much RAM you have available, you can make a search by $regex, by creating the proper index. E.g:
db.collection.find( {query : {$regex: /querywords/}}).sort({'criteria': -1}).limit(limit)
You would need an index as follows:
db.collection.ensureIndex( { "query": 1, "criteria" : -1 } )
This could be really fast if you have enough memory.
Hope this helps.
For those who have not yet started implementing any database architecture and are here for a solution, go for Elasticsearch. Its a json document driven database similar to mongodb structurally. It has "edge-ngram" analyzer which is really really efficient and quick in giving you did you mean for mis-spelled searches. You can also search partially.
I have the following query (MongoMapper/Rails):
Card.where(:card_tags => {:$all => search_tags}
Where card_tags is an array of string tags and search_tags is in array of the search strings. At the moment if someone searches 'snow', no results with tag 'snowboarding' will be returned.
How can I modify this query to search whether any strings in card_tags contains any of the strings in search_tags? Regular expressions come to mind but not sure of the syntax given these are arrays...
Thanks
You can use regular expressions but you will be doing full collection scans - this is going to be bad for performance.
You can use regex with an index only if you "starts with" type of searches, but I doubt you want to limit yourself to that.
For fulltext searching, you are better off using some external search service for this - like Lucene, ElasticSearch, or Solr.
Refer to this post too: like query in mongoDB
Some Background: I'm planning to use MongoDB as the publishing frontend db for a few of my websites. The actual data will be kept in a SQL Server db and there will be background jobs that will populate the MongoDB at predefined time intervals for readonly purposes to boost website performance.
The Situation: I have a table 'x' that i translated into a mongo collection, everything worked fine.
'x' has a column 'c' that was originally a NVARCHAR(MAX) in the source db and has multilingual text in it.
When I was searching by column 'c', mongo was doing fullscan on the collection.
So I tried doing an ensureIndex({c : 1 }) which worked but when I checked the mongodb logs it showed me that 90% of the data could not be indexed as [Key Too Large To Index] !!
And thus is has indexed 10% of the data and now only returns results from that 10% !!
What are my alternatives ??
Note: I was using this column to do full text searching in SQL Server, now im not sure if I should go ahead with Mongo or not :(
Try to run your mongod process with this parameter:
sudo mongod --setParameter failIndexKeyTooLong=false
And than try again.
if you need to search text inside a large string you can use one of those:
keyword splitting
regular expression
the former has the downside that you need some "logic" to combine the keyword to make a search, the latter heavily impacts on performance.
probably if you really need full text search the best option is to use an external indexer like solr or lucene.
Since you can do some elaboration, you could extract some key words and put them in a field:
_keywords : [ "mongodb" , "full search" , "nosql" ]
and make an index on that.
Don't use mongo for full text searching
its not designed for that. Yes obviously you will get an error key too large on indexing for long string values.
Better approach would be using full text search servers (solr/lucene or sphinx) if your main concern is search.
Recent (2.4 and above) MongoDB builds provide a couple other options:
As the OP's stated desire is for full text search, the right approach would be to use a text index which directly supports that use case.
For an exact match index on long string values you can use a hashed index.