I have a Sqlite3 database in android, with data are sentences like: "good afternoon" or "have a nice day", now I want to have a search box, to search between them, I use something like this :
Cursor cursor = sqliteDB.rawQuery("SELECT id FROM category WHERE sentences LIKE '"+ s.toString().toLowerCase()+ "%' LIMIT 10", null);
But it only show "good afternoon" as result if user start searching with first "g" or "go" or "goo" or etc, how can I retrieve "good afternoon" as results, if user search like "a" or "af" or "afternoon".
I mean I want to show "good afternoon" result, if user search from middle of a data in sqlite3 db, not only if user searches from beginning.
thanks!
Just put the percent sign in front of your query string: LIKE '%afternoon%'. However, your approach has two flaws:
It is susceptible to SQL injection attacks because you just insert unfiltered user input into your SQL query string. Use the query parameter syntax instead by re-writing your query as follows:
SELECT id FROM category WHERE sentences LIKE ? LIMIT 10. Add the user input string as selection argument to your query method call
It will be dead slow the bigger your database grows because LIKE queries are not optimized for quick string matching and lookups.
In order to solve number 2 you should use SQLite's FTS3 extension which greatly speeds up any text-related searches. Instead of LIKE you would be using the MATCH operator that uses a different query syntax:
SELECT id FROM category WHERE sentences MATCH 'afternoon' LIMIT 10
As you can see the MATCH operator does not need percent signs. It just tries to find any occurrence of a word in the whole text that is being searched (in your case the sentences column). Read through the documentation of FTS3 I've linked to. The MATCH query syntax provides some more pretty handy and powerful options for finding text in your database table which are pretty similar to early search engine query syntax such as:
MATCH 'afternoon OR evening'
The only (minor) downside to the FTS3 extension is that it blows up the database file size by creating additional search index tables and meta-data. But I think it's well worth it for this use case.
Related
I have a list of names of starts with characters and end with numbers like: -
ka1, ka10, ka 2, ka, sa2, sa1, sa10, p1a10, 1kb, p1a2, p1a11, p1a.
I want to sort it in natural order, that is: -
1kb, ka, ka1, ka 2, ka10, p1a, p1a2, p1a10, p1a11, sa1, sa2, sa10.
The main problem I am seeing here is no delimiter between text and numeric part, there also a chance of without numeric part also.
I am using sqlite in android, I can do sorting using java after fetching points by cacheing cursor data, but I am using(recommended to use) cursor adapter.
Please suggest a query for sorting or is there any way to apply sorting in cursor?
I tried below query for Natural sorting:
SELECT
item_no
FROM
items
ORDER BY
LENGTH(item_no), item_no;
It worked for me in Sqlite db too. Please see this link, for more details.
I can propose using regex replacement adding zeros, creating temporary table of original and corresponding values, then follow this link for sorting it: http://www.saltycrane.com/blog/2007/12/how-to-sort-table-by-columns-in-python/
tip for regex add as many zeros after last letter, but limit the number of total digits for predicted maximum number of digits. If You need help with regex as well, provide exact info of valid and invalid values, so can halp with that too.
PS if want to be sure that zeros goes before last digits search for char from the end
Updated
You can use different ways - Some of are mentioned below:
BIN Way
SELECT
tbl_column,
BIN(tbl_column) AS binray_not_needed_column
FROM db_table
ORDER BY binray_not_needed_column ASC , tbl_column ASC
Cast Way
SELECT
tbl_column,
CAST(tbl_column as SIGNED) AS casted_column
FROM db_table
ORDER BY casted_column ASC , tbl_column ASC
or try the solution:
There are a whole lot of solutions out there if you hit up Google, and
you can, of course, just use the natsort() function in PHP, but it's
simple enough to accomplish natural sorting in MySQL: sort by length
first, then the column value.
Query: SELECT alphanumeric, integer FROM sorting_test ORDER BY LENGTH(alphanumeric), alphanumeric from here
i`m trying to search a Sqlite Database , with this condition : i want to find a string using an Exact Keyword. let me explain this to you .
i have 3 rows as follow :
catching cold
i have a cat
two cats was seen in your house yesterday
i want to search these rows with keyword "cat" and i expect this result :
i have a cat
i am using this SQL code so far :
Select * FROM MyTable WHERE Mycolumn Like '%cat%'
But Returning Result is All these 3 Rows:
catching cold
i have a cat
two cats was seen in your house yesterday
What can i do to get my expected result?
thank you in advance.
The % character in the argument of a LIKE clause matches any string, including the empty string. Unfortunately, SQLite doesn't have the REGEXP function built in (and Android's SQLite doesn't have it).
What you can do instead is use FTS (full text search). How to do so is described here: https://www.sqlite.org/fts3.html#section_1_2
Using your example, you would set it up like so:
create virtual table textsearch using fts4(content);
insert into textsearch (content) values ('catching cold'), ('i have a cat'), ('two cats was seen in your house yesterday')
Then you can do a simple text query with the MATCH operator:
select * from textsearch where content match 'cat';
If you try the above in a sqlite3 shell, you'll see it returns only 'i have a cat'. There's a lot more you can do with the match operator, explained on the page I linked above.
You can use a regular expression with a special pattern for word boundaries.
Select * FROM MyTable WHERE Mycolumn = 'cat'
Corrected my answer i think that should work.
i use this code to give suggestions to the user when typing. but one query takes lot of time. is there a way to speed up?
String cnql = "SELECT DISTINCT sinhala FROM jgd WHERE sinhala LIKE '"+gg+"%' LIMIT 0,4";
Cursor cg=cn.rawQuery(cnql, null);
You can create a virtual table for full text searching on Android which provides a very quick way to retrieve matching strings. However, it does require you set up and maintain a separate FTS virtual table and populate it with the strings you want to search. As its focus is full text search, it does not support a 'starts with' type of operator, although you can gg + "*" to search for words prefixed with your search query.
Let's say an SQLite database column contains the following value:
U Walther-Schreiber-Platz
Using a query I'd like to find this record, or any similar records, if the user searches for the following strings:
walther schreiber
u walther
walther-schreiber platz
[Any other similar strings]
However I cannot figure out any query which would do that. Especially if the user does not enter the - character.
Example:
select * from myTable where value like '%walther schreiber%'; would not return the result because of the missing -.
Thanks,
Robert
So, as I said in my comment, I think you can have a query along the lines of:
select * from myTable where LOWER(value) like <SearchValue>
I'm assuming you're collecting the <SearchValue> from the user programmatically, so would be able to do the following: <SearchValue> would need to be: The user's search string, appropriately cleansed to avoid SQL injection attacks, converted to lower case, with all of the spaces converted to '%', so that they match zero or more characters...
So you would have (for example):
select * from myTable where LOWER(value) like '%walther%schreiber%'
select * from myTable where LOWER(value) like '%walther-schreiber%platz%'
etc... however, this does assume that the word order is the same, which in your examples it is...
In my application ,am work with a large database.Nearly 75000 records present in a table(totally 6 tables are there).i want to get a data from three different table at a time.i completed that.but the search process was slow.how can i optimise the searching process?
You might want to consider using the full-text search engine and issuing SELECT...MATCH queries instead. Note that you need to enable the FTS engine (it's disabled by default) and create virtual tables instead of regular tables. You can read more about it here.
Without being able to see the table structure (or query) the first thing I'd suggest is adding some indexes to the tables.
Lets say you have a few tables like:
Author
id
last_name
first_name
Subject
id
name
Book
id
title
author_id
subject_id
and you're wanting to get all the information about each of the books that an author with last_name="Smith" and first_name="John" wrote. Your query might look something like this:
SELECT * FROM Book b
LEFT JOIN Subject s
ON s.id=b.subject_id
LEFT JOIN Author a
ON a.id=b.author_id
WHERE a.last_name='Smith'
AND a.first_name='John';
There you'd want the last_name column in the Author table to have an index (and maybe first_name too).