I am using MS SQL Express SQL function Contains to select data. However when I selected data with LIKE operator, I realised that Contains function is missing a few rows.
Rebuilt indexes but it didn't help.
Sql: brs.SearchText like '%aprilis%' and CONTAINS(brs.SearchText, '*aprilis*')
The contains function missed rows like:
22-28.aprīlis
[1.aprīlis]
Sīraprīlis
PS. If I search directly CONTAINS(brs.SearchText, '*22-28.aprīlis*'), then it finds them
contains is functionality based on the full text index. It supports words, phrases, and prefixed matches on words, but not suffixed matches. So you can match words that start with 'aprilis' but not words that end with it or that contain it arbitrarily in the middle. You might be able to take advantage of a thesaurus for these terms.
This is explained in more detail in the documentation.
Related
I have a few thousand rows in my table (SQL Server 2016).
One of the columns stores JSON documents (NVARCHAR(max)).
The JSON documents are quite complex in therms of nesting etc.. also they can be very different one to another.
My goal is to search each document for a certain match. Say: "MagicNo":"999000".
So if the document has a property "MagicNo" and if the value is 999000 then it's a match.
I know you can navigate through the document using the
JSON_VALUE $.
followed by the path, but since those docs can be very different the "MagicNo" property may appear pretty much everywhere in the document (a lot nesting). So xpathing is out of question here.
Is there some kind of wild card I could use with JSON_VALUE to say search the entire doc and return it if the match is found?
The simple
like '%999000%'
and
CONTAINS
searches on the VARCHAR column are out of question here due to the poor performance.
Any thoughts?
Thanks.
I'm trying to create the fastest way to search millions (80+ mio) of records in a PostgreSQL (version 9.4), over multiple columns.
I would like to try and use standard PostgreSQL, and not Solr etc.
I'm currently testing Full Text Search followed https://blog.lateral.io/2015/05/full-text-search-in-milliseconds-with-postgresql/.
It works, but I would like some more flexible way to search.
Currently, if I have a column containing ex. "Volvo" and one containing "Blue" I am able to find the record with the search string "volvo blue", but I would like to also find the record using "volvo blu" as if I used LIKE and "%blu%'.
Is that possible with full text search?
The only option to something like this is by using the pg_trgm contrib module.
This enables you to create a GIN or GiST index that indexes all sequences of three characters, which can be used for a search with the similarity operator %.
Two notes:
Using the % operator may return “false positive” results, so be sure to add a second condition (e.g. with LIKE) that eliminates those.
A trigram search works well with longer search strings, but performs badly with short search strings because of the many false positive results.
If that is not good enough for your purposes, you'll have to resort to an third-party solution.
I have a table 'Asset' with a column 'AssetDescription'. Every row of it has some group of words/sentences, seprated by comma.
row1: - flowers, full color, female, Trend
row2:- baby smelling flowers, heart
Now if a put a search query like:-
select * from Asset where contains(AssetDescription,'flower')
It returns nothing.
I have one more table 'SearchData' with column 'SearchCol', having similar rows as mentioned above in table 'Asset'. Now if a put a search query like:-
select * from SearchData where contains(SearchCol,'flower')
It returns both the rows.
QUESTION:-
Why first query doesn't return any result, but second one does correctly.
If 'Full Text Search' has something to do with 1st ques, than what to do regarding that. As I'm using SQL server 2000.
CONTAINS requires a full text search index, and for full text search indexing to be enabled.
LIKE doesn't require full text search.
The advantage of using CONTAINS over LIKE is that CONTAINS is more flexible and potentially a lot faster. LIKE may require a full table scan depending how you use it.
From the SQL Server docs
In contrast to full-text search, the LIKE Transact-SQL predicate works
on character patterns only. Also, you cannot use the LIKE predicate to
query formatted binary data. Furthermore, a LIKE query against a large
amount of unstructured text data is much slower than an equivalent
full-text query against the same data. A LIKE query against millions
of rows of text data can take minutes to return; whereas a full-text
query can take only seconds or less against the same data, depending
on the number of rows that are returned.
Your first query isn't matching anything because you're not using a wildcard character. Your rows contain the word 'flowers' whereas you're searching for rows containing 'flower'. You would need to change the query to:
select * from asset where contains(AssetDescription, 'flower*')
Try rebuilding your full-text index. Could be that it's out of date and hence not finding them when you use CONTAINS.
Assuming SQL Server, to use contains with a word prefix, you use a wildcard.
More here: http://msdn.microsoft.com/en-us/library/ms187787.aspx
I'm creating a self-help FAQ type application and one of the requirements is that the end user has to be able to search for FAQ topics. I have three models of note, listed below with their relevant (i.e. searchable) columns:
Topic: Name, Description
Question: Name, Answer
Problem: Name, Solution
All three tables are linked to Topic via a TopicID column. The idea is to provide a single textbox where the user can enter a search query, something either as a sentence (e.g. "How do I perform X") or a phrase (e.g. "Performing X" or "Perform X"), and provide all Topics/Questions/Problems that have any of the words they entered in either the name or description/answer/solution fields; the model will only ever have those columns searchable and I don't have to worry about filtering out the common words like "How" and such (It would be nice but isn't a requirement as it's not an exact match but a fuzzy match).
For reasons outside of my control, I have to use a Stored Procedure. My question is what would be the most appropriate way to handle a search like this; I've seen similar questions regarding multiple columns but really there is not a variable number of columns, there are always two columns per table that are actually searchable. The issue is that the search query could, in theory, be nearly anything - a sentence, a phrase, a comma-separated list of terms (e.g. "x,y,z"), so I would have to split the search term into components (e.g. split on whitespace) and then search each pair of columns for every term? Is that reasonably easy to do in SQL Server? The alternative, a little messier, is to just pull all the data back and then split the query and filter the results in the server-side code as there shouldn't ever be that many items entered, but I would feel a little dirty doing something like that ;-)
Suggest creating a new Full Text Catalog, and assign the table and columns to that catalog. Ensure your catalog is being updated at the right frequency for your needs.
You can then query this catalog using the FREETEXT predicate. It sounds like you need to match on those suffixes like 'ing', so suggest FREETEXT over CONTAINS in this case.
You can use a variable in this search, so it'll be easy to fit into a stored proc.
declare #token varchar(256);
select #token = 'perform';
select * from Problem
where freetext(Name, #token)
or freetext(Solution, #token);
--this will match 'perform' and 'performing'
For some reason I cannot find the answer on Google! But with the SQL contains function how can I tell it to start at the beginning of a string, I.e I am looking for the full-text equivalent to
LIKE 'some_term%'.
I know I can use like, but since I already have the full-text index set up, AND the table is expected to have thousands of rows, I would prefer to use Contains.
Thanks!
You want something like this:
Rather than specify multiple terms, you can use a 'prefix term' if the
terms begin with the same characters. To use a prefix term, specify
the beginning characters, then add an asterisk (*) wildcard to the end
of the term. Enclose the prefix term in double quotes. The following
statement returns the same results as the previous one.
-- Search for all terms that begin with 'storm'
SELECT StormID, StormHead, StormBody FROM StormyWeather
WHERE CONTAINS(StormHead, '"storm*"')
http://www.simple-talk.com/sql/learn-sql-server/full-text-indexing-workbench/
You can use CONTAINS with a LIKE subquery for matching only a start:
SELECT *
FROM (
SELECT *
FROM myTable WHERE CONTAINS('"Alice in wonderland"')
) AS S1
WHERE S1.edition LIKE 'Alice in wonderland%'
This way, the slow LIKE query will be run against a smaller set
The only solution I can think of it to actually prepend a unique word to the beginning of every field in the table.
e.g. Update every row so that 'xfirstword ' appears at the start of the text (e.g. Field1). Then you can search for CONTAINS(Field1, 'NEAR ((xfirstword, "TERM*"),0)')
Pretty crappy solution, especially as we know that the full text index stores the actual position of each word in the text (see this link for details: http://msdn.microsoft.com/en-us/library/ms142551.aspx)
I am facing the similar issue. This is what I have implemented as a work around.
I have made another table and pulled only the rows like 'some_term%'.
Now, on this new table I have implemented the FullText search.
Please do inform me if you tried some other better approach