There is an overbearing chance that this might be an incredibly stupid question, so bear with me :)
I have over the last couple of weeks been learning and implementing Sqlite on some data for a project. I love the concept of keys, but there is however one thing that I cannot wrap my head around.
How do you reference the foreign key when inserting a big dataset in the db? Ill give you an example:
Im inserting say 300 rows of data, each row containing ("a","b","c","d","e","f","g"). Everything is going into the same table(original_table).
Now that i have my data in the db, I want to create another table(secondary_table) for the values "c". I then naturally want original_table to have a foreign key which links to the secondary_tables primary key.
I understand that you can create a foreign key before inserting, and then replacing "c" with the corresponding integer before you insert. This however seems very ineffiecient as you would have to replace huge amounts of data before inserting.
So my question is how can I have the foreign key replace the text in an already created table?
Cheers
So my question is how can I have the foreign key replace the text in
an already created table?
yes/no
That is you you can replace column C with the reference to the secondary table (as has been done below in addition to adding the new suggested column) BUT without dropping the table you CANNOT redefine the column's attributes and therefore make it have a type affinity of INTEGER (not really an issue) or specify that it has the FOREIGN KEY constraint.
Mass update is probably not an issue (not not even done withing a transaction here) for something like 300 rows.
How do you reference the foreign key when inserting a big dataset in
the db?
Here's the SQL for how you could do this but instead of trying to play around with column C add a new column that effectively makes column C redundant. However, the new column will have INTEGER type affinity and also have the FOREIGN KEY constraint applied.
300 rows is nothing, the example code uses 3000 rows, although column C only contains a short text value.
:-
-- Create the original table with column c having a finite number of values (0-25)
DROP TABLE IF EXISTS original_table;
CREATE TABLE IF NOT EXISTS original_table (A TEXT, B TEXT, C TEXT, D TEXT, E TEXT, F TEXT, G TEXT);
-- Load the original table with some data
WITH RECURSIVE counter(cola,colb,colc,cold,cole,colf,colg) AS (
SELECT random() % 26 AS cola, random() % 26 AS colb,abs(random() % 26) AS colc,random() % 26 AS cold,random() % 26 AS cole,random() % 26 AS colf,random() % 26 AS colg
UNION ALL
SELECT random() % 26 AS cola, random() % 26 AS colb,abs(random()) % 26 AS colc,random() % 26 AS cold,random() % 26 AS cole,random() % 26 AS colf,random() % 26 AS colg
FROM counter LIMIT 3000
)
INSERT INTO original_table SELECT * FROM counter;
SELECT * FROM original_table ORDER BY C ASC; -- Query 1 the original original_table
-- Create the secondary table by extracting values from the C column of the original table
DROP TABLE IF EXISTS secondary_table;
CREATE TABLE IF NOT EXISTS secondary_table (id INTEGER PRIMARY KEY, c_value TEXT);
INSERT INTO secondary_table (c_value) SELECT DISTINCT C FROM original_table ORDER BY C ASC;
SELECT * FROM secondary_table; -- Query 2 the new secondary table
-- Add the new column as a Foreign key to reference the new secondary_table
ALTER TABLE original_table ADD COLUMN secondary_table_reference INTEGER REFERENCES secondary_table(id);
SELECT * FROM original_table; -- Query 3 the altered original_table but without any references
-- Update the original table to apply the references to the secondary_table
UPDATE original_table
SET secondary_table_reference = (SELECT id FROM secondary_table WHERE c_value = C)
-- >>>>>>>>>> NOTE USE ONLY 1 OR NONE OF THE FOLLOWING 2 LINES <<<<<<<<<<
, C = null; -- OPTIONAL TO CLEAR COLUMN C
-- , C = (SELECT id FROM secondary_table WHERE c_value = C) -- ANOTHER OPTION SET C TO REFERENCE SECONDARY TABLE
;
SELECT * FROM original_table; -- Query 4 the final original table i.e. with references applied (column C now not needed)
Hopefully comments explain.
Results :-
Query 1 The original table without the secondary table :-
Query 2 The secondary table as generated from the original table :-
Query 3 The altered original_table without references applied :-
Query 4 The original table after application of references (applied to new column and old C column) :-
Timings (would obviously depend on numerous factors) :-
-- Create the original table with column c having a finite number of values (0-25)
DROP TABLE IF EXISTS original_table
> OK
> Time: 0.94s
CREATE TABLE IF NOT EXISTS original_table (A TEXT, B TEXT, C TEXT, D TEXT, E TEXT, F TEXT, G TEXT)
> OK
> Time: 0.353s
-- Load the original table with some data
WITH RECURSIVE counter(cola,colb,colc,cold,cole,colf,colg) AS (
SELECT random() % 26 AS cola, random() % 26 AS colb,abs(random() % 26) AS colc,random() % 26 AS cold,random() % 26 AS cole,random() % 26 AS colf,random() % 26 AS colg
UNION ALL
SELECT random() % 26 AS cola, random() % 26 AS colb,abs(random()) % 26 AS colc,random() % 26 AS cold,random() % 26 AS cole,random() % 26 AS colf,random() % 26 AS colg
FROM counter LIMIT 3000
)
INSERT INTO original_table SELECT * FROM counter
> Affected rows: 3000
> Time: 0.67s
SELECT * FROM original_table ORDER BY C ASC
> OK
> Time: 0.012s
-- Query 1 the original original_table
-- Create the secondary table by extracting values from the C column of the original table
DROP TABLE IF EXISTS secondary_table
> OK
> Time: 0.328s
CREATE TABLE IF NOT EXISTS secondary_table (id INTEGER PRIMARY KEY, c_value TEXT)
> OK
> Time: 0.317s
INSERT INTO secondary_table (c_value) SELECT DISTINCT C FROM original_table ORDER BY C ASC
> Affected rows: 26
> Time: 0.24s
SELECT * FROM secondary_table
> OK
> Time: 0s
-- Query 2 the new secondary table
-- Add the new column as a Foreign key to reference the new secondary_table
ALTER TABLE original_table ADD COLUMN secondary_table_reference INTEGER REFERENCES secondary_table(id)
> OK
> Time: 0.31s
SELECT * FROM original_table
> OK
> Time: 0.01s
-- Query 3 the altered original_table but without any references
-- Update the original table to apply the references to the secondary_table
UPDATE original_table
SET secondary_table_reference = (SELECT id FROM secondary_table WHERE c_value = C)
-- , C = null; -- OPTIONAL TO CLEAR COLUMN C
, C = (SELECT id FROM secondary_table WHERE c_value = C)
> Affected rows: 3000
> Time: 0.743s
SELECT * FROM original_table
> OK
> Time: 0.01s
-- Query 4 the final original table i.e. with references applied (column C now not needed)
> not an error
> Time: 0s
Supplementary Query
The following query utilises the combined tables :-
SELECT A,B,D,E,F,G, secondary_table.c_value FROM original_table JOIN secondary_table ON secondary_table_reference = secondary_table.id;
To result in :-
Note the data will not correlate with the previous results as this was run as a separate run and the data is generated randomly.
Related
I am trying out SQLite and encountered a problem. There are 3 Tables A, B, and C.
I want to update Table A using the sum of B and C.
Table A.
James null.
Table B.
James 5.
Table C
James 2
so with the update, I want table A to have
James 3. (5-2)
Thank You
SQLite does not support joins in an UPDATE statement so you can do it by accessing directly the corresponding rows of the tables A and B like this:
update A
set value =
(select value from B where name = A.name) -
(select value from C where name = A.name)
If you want to update only the row with name = 'James' then add:
where name = 'James'
See the demo
Works in every DB:
UPDATE
"A"
SET
"x" =
(
SELECT
SUM("x")
FROM "B"
WHERE "B"."id"="A"."id"
) +
(
SELECT
SUM("x")
FROM "C"
WHERE "C"."id"="A"."id"
)
I believe the following demonstrates that Yes you can:-
DROP TABLE IF EXISTS ta;
DROP TABLE IF EXISTS tb;
DROP TABLE IF EXISTS tc;
CREATE TABLE IF NOT EXISTS ta (name TEXT, numb INTEGER);
CREATE TABLE IF NOT EXISTS tb (name TEXT, numb INTEGER);
CREATE TABLE IF NOT EXISTS tc (name TEXT, numb INTEGER);
INSERT INTO ta VALUES ('JAMES',null),('Mary',100);
INSERT INTO tb VALUES ('JAMES',5),('Sue',33);
INSERT INTO tc VALUES ('JAMES',2),('Anne',45);
UPDATE ta SET numb =
(SELECT sum(numb) FROM tb WHERE name = 'JAMES')
-
(SELECT sum(numb) FROM tc WHERE name = 'JAMES')
WHERE name = 'JAMES';
SELECT * FROM ta;
SELECT * FROM tb;
SELECT * FROM tc;
This :-
Drops the tables if they exist allowing it to be rerun (simplifies modifications if need be).
column names name and numb have been assumed as they weren't given.
Creates the 3 tables (note table names used for the demo are ta, tb and tc)
Adds some data (note that additional rows have been added to show how to distinguish (at least to a fashion))
Updates column numb of table A (ta) where the name column has a value of JAMES according to the sum of the numb column from all rows with the same name (JAMES) from table tb minus the sum of the numb column from all rows with the same name (JAMES) from table tc
This may not be exactly what you want so it assumes that you want to sum all rows with the same name per table (ta and tc)
Queries all the tables (first is shown below as that is the table that has been updated.)
The first result showing that the row has been updated from null to 3 (5 - 2) and that the row for Mary has remained as it was :-
The following change to the UPDATE gets the name (rather than hard-coding 'JAMES' multiple times, as per the row(s) extract from the ta table, the use of hard-coded names perhaps making it easier to understand the working of the SQL).
UPDATE ta SET numb = (SELECT sum(numb) FROM tb WHERE name = ta.name) - (SELECT sum(numb) FROM tc WHERE name = ta.name) WHERE name = 'JAMES';
Note that should there not be an associated row (i.e. with the same name) in either tb or tc then the result will be null (whether or not sum is used).
In this SQLite example, I am selecting rows from tables a, b, and c using the common column 'aa'.
SELECT
a.aa,
a.ab,
a.ac,
b.ba,
b.bb,
b.bc,
c.ca,
c.cb,
c.cc
FROM
a
INNER JOIN b ON b.ba = a.aa
INNER JOIN c ON c.ca = a.aa
WHERE a.ab = 'blahblah'
This works OK. Now, I need to add an extra table and an extra JOIN. Table 'd' has a column 'd.dc' that is common with table 'c' and its column 'c.cc'.
When the correct row is selected in 'c', I want to be able to read the data in 'd.dd'.
SELECT
a.aa,
a.ab,
a.ac,
b.ba,
b.bb,
b.bc,
c.ca,
c.cb,
c.cc,
d.dc,
d.dd
FROM
a
INNER JOIN b ON b.ba = a.aa
INNER JOIN c ON c.ca = a.aa
INNER JOIN d ON d.dc = c.cc
WHERE a.ab = 'blahblah'
This does not work OK. Please can you tell me how to correct it?
I have also tried
FOREIGN KEY (cc) REFERENCES d(dc)
in the table 'c' definition, but it makes no apparent difference.
Here are my table definitions:
CREATE TABLE `a` ( `aa` TEXT PRIMARY KEY UNIQUE, `ab` TEXT, `ac` TEXT );
CREATE TABLE `b` ( `ba` TEXT PRIMARY KEY UNIQUE, `bb` TEXT, `bc` TEXT );
CREATE TABLE `c` ( `ca` TEXT PRIMARY KEY UNIQUE, `cb` TEXT, `cc` TEXT, FOREIGN KEY (cc) REFERENCES d(dc) );
CREATE TABLE `d` ( `dc` TEXT PRIMARY KEY UNIQUE, `dd` TEXT );
The strange results that I got were rather hard to describe, but one thing I noticed was that the only few rows returned were where c.cc were all the same value, whereas in fact there should have many more rows, and c.cc should have had a variety of values.
Perhaps the following will explain how to JOIN using the SQL (but this is really just tailored to meet the rules):-
DROP TABLE IF EXISTS a;
DROP TABLE IF EXISTS b;
DROP TABLE IF EXISTS c;
DROP TABLE IF EXISTS d;
CREATE TABLE `a` ( `aa` TEXT PRIMARY KEY UNIQUE, `ab` TEXT, `ac` TEXT );
CREATE TABLE `b` ( `ba` TEXT PRIMARY KEY UNIQUE, `bb` TEXT, `bc` TEXT );
CREATE TABLE `c` ( `ca` TEXT PRIMARY KEY UNIQUE, `cb` TEXT, `cc` TEXT, FOREIGN KEY (cc) REFERENCES d(dc) );
CREATE TABLE `d` ( `dc` TEXT PRIMARY KEY UNIQUE, `dd` TEXT );
INSERT INTO d VALUES('blah_c_cc_001','blahblah_d_dd'); -- MUST BE INSERTED BEFORE C else FK CONFLICT
INSERT INTO a VALUES('blah_a_aa_001','blahblah','blahblah_a_ac');
INSERT INTO b VALUES('blah_a_aa_001','blahblah_b_bb','blahblah_b_bc');
INSERT INTO c VALUES('blah_a_aa_001','blahblah_c_cb','blah_c_cc_001');
INSERT INTO d VALUES('blah_c_cc_002','blahblah_d_dd'); -- MUST BE INSERTED BEFORE C else FK CONFLICT
INSERT INTO a VALUES('blah_a_aa_002','blahblah','blahblah_a_ac');
INSERT INTO b VALUES('blah_a_aa_002','blahblah_b_bb','blahblah_b_bc');
INSERT INTO c VALUES('blah_a_aa_002','blahblah_c_cb','blah_c_cc_002');
INSERT INTO d VALUES('blah_c_cc_004','blahblah_d_dd');
INSERT INTO a VALUES('blah_a_aa_003','blahblah','blahblah_a_ac');
INSERT INTO b VALUES('blah_a_aa_003','blahblah_b_bb','blahblah_b_bc');
INSERT INTO c VALUES('blah_a_aa_003','blahblah_c_cb','blah_c_cc_004');
SELECT *
FROM
a
INNER JOIN b ON b.ba = a.aa
INNER JOIN c ON c.ca = a.aa
INNER JOIN d ON d.dc = c.cc
WHERE a.ab = 'blahblah'
;
- * used for brevity
This results in :-
Basically the rule is that for a INNER (normal/simple) JOIN there must be matched rows, so in your query (the following applies)
TABLE b must have a value in column ba that matches the aa column in table a as well as the matching row in table a having a value of blahblah in column ab
AND
Table c must have a value in column ca that matches the aa column in table a as well as the matching row in table a having a value of blahblah
AND
Table d must have a value in column dc that matches the cc column in table c AND that the matching row in cc is a row that matches a row in table a that has a value of blahblah in column ab
The FOREIGN KEY has no impact on the SELECT query, other than it restricting the insertion of a row in table c in that the cc column being inserted must match the value of column dc in one of the rows in table d.
OK, I found my problem. The original code was OK, but the problem was in the external data that I was using. It wasn't matching because I had not bothered to TRIM it before loading it to my database.
My strange results occurred because if Table 'd' did not have a value in column dc that matches the cc column in table c, then no row at all was returned. I had assumed that if Table 'd' did not have a value in column dc that matches the cc column in table c, then the SELECT d.dd would just return an empty result, whereas in fact it blocked all output.
Message to Self: Always TRIM your data. Also, when monitoring results, always surround with quote-marks, so you can see the extra whitespace.
I found a good article on converting adjacency to nested sets at http://dataeducation.com/the-hidden-costs-of-insert-exec/
The SQL language used is Microsoft SQL Server (I think) and I am trying to convert the examples given in the article to sqlite (as this is what I have easy access to on my Macbook).
The problem I appear to be having is converting the part of the overall CTE query to do with the Employee Rows
EmployeeRows AS
(
SELECT
EmployeeLevels.*,
ROW_NUMBER() OVER (ORDER BY thePath) AS Row
FROM EmployeeLevels
)
I converted this to
EmployeeRows AS
(
SELECT
EmployeeLevels.*,
rowid AS Row
FROM EmployeeLevels
ORDER BY thePath
)
and the CTE query runs (no syntax errors) but the output I get is a table without the Row and Lft and Rgt columns populated
ProductName ProductID ParentProductID TreePath HLevel Row Lft Rgt
----------- ---------- --------------- ---------- ---------- ---------- ---------- ----------
Baby Goods 0 0 1
Baby Food 10 0 0.10 2
All Ages Ba 100 10 0.10.100 3
Strawberry 200 100 0.10.100.2 4
Baby Cereal 250 100 0.10.100.2 4
Beginners 150 10 0.10.150 3
Formula Mil 300 150 0.10.150.3 4
Heinz Formu 310 300 0.10.150.3 5
Nappies 20 0 0.20 2
Small Pack 400 20 0.20.400 3
Bulk Pack N 450 20 0.20.450 3
I think the start of the problem is the Row is not getting populated and therefore the Lft and Rgt columns do not get populated by the following parts of the query.
Are there any sqlite experts out there to tell me:
am I translating the rowid part of the query correctly
does sqlite support a rowid in a part of a CTE query
is there a better way? :)
Any help appreciated :)
am I translating the rowid part of the query correctly
No.
The SQL:
SELECT
EmployeeLevels.*,
rowid AS Row
FROM EmployeeLevels
ORDER BY thePath
has the Row defined as the rowid of table EmployeeLevels in SQLite, ignoring the order clause. Which is different from the intention of ROW_NUMBER() OVER (ORDER BY thePath) AS Row
does sqlite support a rowid in a part of a CTE query
Unfortunately no. I assume you mean this:
WITH foo AS (
SELECT * FROM bar ORDER BY col_a
)
SELECT rowid, *
FROM foo
but SQLite will report no such column of rowid in foo.
is there a better way?
Not sure it is better but at least it works. In SQLite, you have a mechanism of temp table which exists as long as your connection opens and you didn't delete it deliberately. Rewrite the above SQL in my example:
CREATE TEMP TABLE foo AS
SELECT * FROM bar ORDER BY col_a
;
SELECT rowid, *
FROM foo
;
DROP TABLE foo
;
This one will run without SQLite complaining.
update:
As of SQLite version 3.25.0, window function is supported. Hence you can use row_number() over (order by x) expression in your CTE if you happen to use a newer SQLite
I can not figure out how to query a SQLite.
needed:
1) Replace the record (the primary key), if the condition (comparison of new and old fields entries)
2) Insert an entry if no such entry exists in the database on the primary key.
Importantly, it has to work very fast!
I can not come up with an effective inquiry.
Edit.
MyInsertRequest - the desired expression.
Script:
CREATE TABLE testtable (a INT PRIMARY KEY, b INT, c INT)
INSERT INTO testtable VALUES (1, 2, 3)
select * from testtable
1|2|3
-- Adds an entry, because the primary key is not
++ MyInsertRequest VALUES (2, 2, 3) {if c>4 then replace}
select * from testtable
1|2|3
2|2|3
-- Adds
++ MyInsertRequest VALUES (3, 8, 3) {if c>4 then replace}
select * from testtable
1|2|3
2|2|3
3|8|3
-- Does nothing, because such a record (from primary key field 'a')
-- is in the database and none c>4
++ MyInsertRequest VALUES (1, 2, 3) {if c>4 then replace}
select * from testtable
1|2|3
2|2|3
3|8|3
-- Does nothing
++ MyInsertRequest VALUES (3, 34, 3) {if c>4 then replace}
select * from testtable
1|2|3
2|2|3
3|8|3
-- replace, because such a record (from primary key field 'a')
-- is in the database and c>2
++ MyInsertRequest VALUES (3, 34, 1) {if c>2 then replace}
select * from testtable
1|2|3
2|2|3
3|34|1
Isn't INSERT OR REPLACE what you need ? e.g. :
INSERT OR REPLACE INTO table (cola, colb) values (valuea, valueb)
When a UNIQUE constraint violation occurs, the REPLACE algorithm
deletes pre-existing rows that are causing the constraint violation
prior to inserting or updating the current row and the command
continues executing normally.
You have to put the condition in a unique constraint on the table. It will automatically create an index to make the check efficient.
e.g.
-- here the condition is on columnA, columnB
CREATE TABLE sometable (columnPK INT PRIMARY KEY,
columnA INT,
columnB INT,
columnC INT,
CONSTRAINT constname UNIQUE (columnA, columnB)
)
INSERT INTO sometable VALUES (1, 1, 1, 0);
INSERT INTO sometable VALUES (2, 1, 2, 0);
select * from sometable
1|1|1|0
2|1|2|0
-- insert a line with a new PK, but with existing values for (columnA, columnB)
-- the line with PK 2 will be replaced
INSERT OR REPLACE INTO sometable VALUES (12, 1, 2, 6)
select * from sometable
1|1|1|0
12|1|2|6
Assuming your requirements are:
Insert a new row when a doesn't exists;
Replacing row when a exist and existing c greater then new c;
Do nothing when a exist and existing c lesser or equal then new c;
INSERT OR REPLACE fits first two requirements.
For last requirement, the only way I know to make an INSERT ineffective is supplying a empty rowset.
A SQLite command like following whould make the job:
INSERT OR REPLACE INTO sometable SELECT newdata.* FROM
(SELECT 3 AS a, 2 AS b, 1 AS c) AS newdata
LEFT JOIN sometable ON newdata.a=sometable.a
WHERE newdata.c<sometable.c OR sometable.a IS NULL;
New data (3,2,1 in this example) is LEFT JOINen with current table data.
Then WHERE will "de-select" the row when new c is not less then existing c, keeping it when row is new, ie, sometable.* IS NULL.
I tried the others answers because I was also suffering from a solution to this problem.
This should work, however I am unsure about the performance implications. I believe that you may need the first column to be unique as a primary key else it will simply insert a new record each time.
INSERT OR REPLACE INTO sometable
SELECT columnA, columnB, columnC FROM (
SELECT columnA, columnB, columnC, 1 AS tmp FROM sometable
WHERE sometable.columnA = 1 AND
sometable.columnB > 9
UNION
SELECT 1 AS columnA, 1 As columnB, 404 as columnC, 0 AS tmp)
ORDER BY tmp DESC
LIMIT 1
In this case one dummy query is executed and union-ed onto a second query which would have a performance impact depending on how it is written and how the table is indexed. The next performance problem has potential where the results are ordered and limited. However, I expect that the second query should only return one record and therefore it should not be too much of a performance hit.
You can also omit the ORDER BY tmp LIMIT 1 and it works with my version of sqlite, but it may impact performance since it can end up updating the record twice (writing the original value then the new value if applicable).
The other problem is that you end up with a write to the table even if the condition states that it should not be updated.
I'm adding an 'index' column to a table in SQLite3 to allow the users to easily reorder the data, by renaming the old database and creating a new one in its place with the extra columns.
The problem I have is that I need to give each row a unique number in the 'index' column when I INSERT...SELECT the old values.
A search I did turned up a useful term in Oracle called ROWNUM, but SQLite3 doesn't have that. Is there something equivalent in SQLite?
You can use one of the special row names ROWID, OID or _ROWID_ to get the rowid of a column. See http://www.sqlite.org/lang_createtable.html#rowid for further details (and that the rows can be hidden by normal columns called ROWID and so on).
Many people here seems to mix up ROWNUM with ROWID. They are not the same concept and Oracle has both.
ROWID is a unique ID of a database ROW. It's almost invariant (changed during import/export but it is the same across different SQL queries).
ROWNUM is a calculated field corresponding to the row number in the query result. It's always 1 for the first row, 2 for the second, and so on. It is absolutely not linked to any table row and the same table row could have very different rownums depending of how it is queried.
Sqlite has a ROWID but no ROWNUM. The only equivalent I found is ROW_NUMBER() function (see http://www.sqlitetutorial.net/sqlite-window-functions/sqlite-row_number/).
You can achieve what you want with a query like this:
insert into new
select *, row_number() over ()
from old;
No SQLite doesn't have a direct equivalent to Oracle's ROWNUM.
If I understand your requirement correctly, you should be able to add a numbered column based on ordering of the old table this way:
create table old (col1, col2);
insert into old values
('d', 3),
('s', 3),
('d', 1),
('w', 45),
('b', 5465),
('w', 3),
('b', 23);
create table new (colPK INTEGER PRIMARY KEY AUTOINCREMENT, col1, col2);
insert into new select NULL, col1, col2 from old order by col1, col2;
The new table contains:
.headers on
.mode column
select * from new;
colPK col1 col2
---------- ---------- ----------
1 b 23
2 b 5465
3 d 1
4 d 3
5 s 3
6 w 3
7 w 45
The AUTOINCREMENT does what its name suggests: each additional row has the previous' value incremented by 1.
I believe you want to use the constrain LIMIT in SQLite.
SELECT * FROM TABLE can return thousands of records.
However, you can constrain this by adding the LIMIT keyword.
SELECT * FROM TABLE LIMIT 5;
Will return the first 5 records from the table returned in you query - if available
use this code For create Row_num 0....count_row
SELECT (SELECT COUNT(*)
FROM main AS t2
WHERE t2.col1 < t1.col1) + (SELECT COUNT(*)
FROM main AS t3
WHERE t3.col1 = t1.col1 AND t3.col1 < t1.col1) AS rowNum, * FROM Table_name t1 WHERE rowNum=0 ORDER BY t1.col1 ASC