MySQL calculating query - mysql

I have this table, only two columns, each record stores an interest rate for a given month:
id rate
===========
199502 3.63
199503 2.60
199504 4.26
199505 4.25
... ...
201704 0.79
201705 0.93
201706 0.81
201707 0.80
201708 0.14
Based on this rates, I need to create another table of accumulated rates which similar structure, whose data is calculated as function of a YYYYMM (month/year) parameter, this way (this formula is legally mandatory):
The month given as parameter has always rate of 0 (zero)
The month immediately previous has always a rate of 1 (one)
The previous months' rates will be (one) plus the sum of rates of months between that given month and the month given as parameter.
I'll clarify this rules with this example, given parameter 201708:
SOURCE CALCULATED
id rate id rate
=========== =============
199502 3.63 199502 360.97 (1 + sum(rate(199503) to rate(201707)))
199503 2.60 199503 358.37 (1 + sum(rate(199504) to rate(201707)))
199504 4.26 199504 354.11 (1 + sum(rate(199505) to rate(201707)))
199505 4.25 199505 349.86 (1 + sum(rate(199506) to rate(201707)))
... ... ... ...
201704 0.79 201704 3.54 (1 + rate(201705) + rate(201706) + rate(201707))
201705 0.93 201705 2.61 (1 + rate(201706) + rate(201707))
201706 0.81 201706 1.80 (1 + rate(201707))
201707 0.80 201707 1.00 (per definition)
201708 0.14 201708 0.00 (per definition)
Now I've already implemented a VB.NET function that reads the source table and generates the calculated table, but this is done in runtime at each client machine:
Public Function AccumRates(targetDate As Date) As DataTable
Dim dtTarget = Rates.Clone
Dim targetId = targetDate.ToString("yyyyMM")
Dim targetIdAnt = targetDate.AddMonths(-1).ToString("yyyyMM")
For Each dr In Rates.Select("id<=" & targetId & " and id>199412")
If dr("id") = targetId Then
dtTarget.Rows.Add(dr("id"), 0)
ElseIf dr("id") = targetIdAnt Then
dtTarget.Rows.Add(dr("id"), 1)
Else
Dim intermediates =
Rates.Select("id>" & dr("id") & " and id<" & targetId).Select(
Function(ldr) New With {
.id = ldr.Field(Of Integer)("id"),
.rate = ldr.Field(Of Decimal)("rate")}
).ToArray
dtTarget.Rows.Add(
dr("id"),
1 + intermediates.Sum(
Function(i) i.rate))
End If
Next
Return dtTarget
End Function
My question is how can I put this as a query in my database so it can be used dynamically by other queries which would use these accumulated rates to update debts to any given date.
Thank you very much!
EDIT
I managed to make a query that returns the data I want, now I just don't know how to encapsulate it so that it can be called from another query passing any id as argument (here I did it using a SET ... statement):
SET #targetId=201708;
SELECT
id AS id_acum,
COALESCE(1 + (SELECT
SUM(taxa)
FROM
tableSelic AS ts
WHERE
id > id_acum AND id < #targetId
LIMIT 1),
IF(id >= #targetId, 0, 1)) AS acum
FROM
tableSelic
WHERE id>199412;
That's because I'm pretty new to MySQL, I'm used to MS-Access where parametrized queries are very straightfoward to create.

For example:
DROP TABLE IF EXISTS my_table;
CREATE TABLE my_table
(id INT NOT NULL PRIMARY KEY
,rate DECIMAL(5,2) NOT NULL
);
INSERT INTO my_table VALUES
(201704,0.79),
(201705,0.93),
(201706,0.81),
(201707,0.80),
(201708,0.14);
SELECT *
, CASE WHEN #flag IS NULL THEN #i:=1 ELSE #i:=#i+rate END i
, #flag:=1 flag
FROM my_table
, (SELECT #flag:=null,#i:=0) vars
ORDER
BY id DESC;
+--------+------+-------------+-------+------+------+
| id | rate | #flag:=null | #i:=0 | i | flag |
+--------+------+-------------+-------+------+------+
| 201708 | 0.14 | NULL | 0 | 1 | 1 |
| 201707 | 0.80 | NULL | 0 | 1.80 | 1 |
| 201706 | 0.81 | NULL | 0 | 2.61 | 1 |
| 201705 | 0.93 | NULL | 0 | 3.54 | 1 |
| 201704 | 0.79 | NULL | 0 | 4.33 | 1 |
+--------+------+-------------+-------+------+------+
5 rows in set (0.00 sec)

Ok, I made it with a function:
CREATE FUNCTION `AccumulatedRates`(start_id integer, target_id integer) RETURNS decimal(6,2)
BEGIN
DECLARE select_var decimal(6,2);
SET select_var = (
SELECT COALESCE(1 + (
SELECT SUM(rate)
FROM tableRates
WHERE id > start_id AND id < target_id LIMIT 1
), IF(id >= unto, 0, 1)) AS acum
FROM tableRates
WHERE id=start_id);
RETURN select_var;
END
And them a simple query:
SELECT *, AccumulatedRates(id,#present_id) as acum FROM tableRates;
where #present_id is passed as parameter.
Thanks to all, anyway!

Related

Creating a column being the multiple of others

I need some help. I have 2 colluns from mysql query result: 1 with text, and another with decimal values. Like that:
select desc, value from table a
|5,50 % | 2984.59 |
|Subs | 10951.70 |
|Isent | 3973.17 |
|13,30 % | 560.26 |
From the rows that have the %, I want to multiply the values and create a third result column, rounding up to two decimal places. See above
2984,59 * 0,055 = 164,15245
560,26 * 0,133 = 74,514
I need make the sql query that show something like above.
+-------+-----------+-----------+
|5,50 % | 2984,59 | 164,16 |
|Subs | 10951,70 | 0 or NULL |
|Isent | 3973,17 | 0 or NULL |
|13,30% | 560,26 | 74,52 |
+-------+-----------+-----------+
How i can do it?
Thanks so much for help
It would be better to have floaring numbers in the first place, converting costs time
You have commas in your procentage, but mysql needs dots there
If value isn't always a number, you can use the mysql way to add a 0 0 to it, that remioves all non numerical characters
SELECT `desc`, `value`, (REPLACE(`desc`,',','.') + 0) * `value` / 100 FROM val
desc
value
(REPLACE(`desc`,',','.') + 0) * `value` / 100
5,50 %
2985
164.175
Subs
10952
0
Isent
3973
0
13,30 %
560
74.48
fiddle
SELECT `desc`, `value`, CEIL((REPLACE(`desc`,',','.') + 0) * `value`) / 100 FROM val
desc
value
CEIL((REPLACE(`desc`,',','.') + 0) * `value`) / 100
5,50 %
2985
164.18
Subs
10952
0
Isent
3973
0
13,30 %
560
74.48
fiddle

Two methods of performing cohort analysis in MySQL using joins

I make a cohort analysis processor. Input parameters: time range and step, condition (initial event) to exctract cohorts, additional condition (retention event) to check after each N hours/days/months. Output parameters: cohort analysis grid, like this:
0h | 16h | 32h | 48h | 64h | 80h | 96h |
cohort #00 15 | 6 | 4 | 1 | 1 | 2 | 2 |
cohort #01 1 | 35 | 8 | 0 | 2 | 0 | 1 |
cohort #02 0 | 3 | 31 | 11 | 5 | 3 | 0 |
cohort #03 0 | 0 | 4 | 27 | 7 | 6 | 2 |
cohort #04 0 | 1 | 1 | 4 | 29 | 4 | 3 |
Basically:
fetch cohorts: unique users who did something 1 in every period from time_begin every time_step.
find how many of them (in each cohort) did something 2 after N seconds, N*2 seconds, N*3, and so on until now.
In short - I have 2 solutions. One works too slow and includes a heavy select with joins for each data step: 1 day, 2 day, 3 day, etc. I want to optimize it by joining result for every data step to cohorts - and it's the second solution. It looks like it works but I'm not sure it's the best way and that it will give the same result even if cohorts will intersect. Please check it out.
Here's the whole story.
I have a table of > 100,000 events, something like this:
#user-id, timestamp, event_name
events_view (uid varchar(64), tm int(11), e varchar(64))
example input row:
"user_sampleid1", 1423836540, "level_end:001:win"
To make a cohort analisys first I extract cohorts: for example, users, who send special event '1st_launch' in 10 hour periods starting from 2015-02-13 and ending with 2015-02-16. All code in this post is simplified and shortened to see the idea.
DROP TABLE IF EXISTS tmp_c;
create temporary table tmp_c (uid varchar(64), tm int(11), c int(11) );
set beg = UNIX_TIMESTAMP('2015-02-13 00:00:00');
set en = UNIX_TIMESTAMP('2015-02-16 00:00:00');
select min(tm) into t_start from events_view ;
select max(tm) into t_end from events_view ;
if beg < t_start then
set beg = t_start;
end if;
if en > t_end then
set en = t_end;
end if;
set period = 3600 * 10;
set cnt_c = ceil((en - beg) / period) ;
/*works quick enough*/
WHILE i < cnt_c DO
insert into tmp_c (
select uid, min(tm), i from events_view where
locate("1st_launch", e) > 0 and tm > (beg + period * i)
AND tm <= (beg + period * (i+1)) group by uid );
SET i = i+1;
END WHILE;
Cohorts may consist the same user ids, though usually one user is exist only in one cohort. And in each cohort users are unique.
Now I have temp table like this:
user_id | 1st timestamp | cohort_no
uid1 1423836540 0
uid2 1423839540 0
uid3 1423841160 1
uid4 1423841460 2
...
uidN 1423843080 M
Then I need to again divide time range on periods and calculate for each period how many users from each cohort have sent event "level_end:001:win".
For each small period I select all unique users who have sent "level_end:001:win" event and left join them to tmp_c cohorts table. So I have something like this:
user_id | 1st timestamp | cohort_no | user_id | other fields...
uid1 1423836540 0 uid1
uid2 1423839540 0 null
uid3 1423841160 1 null
uid4 1423841460 2 uid4
...
uidN 1423843080 M null
This way I see how many users from my cohorts are in those who have sent "level_end:001:win", exclude not found by where clause: where t2.uid is not null.
Finally I perform grouping and have counts of users in each cohort, who have sent "level_end:001:win" in this particluar period.
Here's the code:
DROP TABLE IF EXISTS tmp_res;
create temporary table tmp_res (uid varchar(64) CHARACTER SET cp1251 NOT NULL, c int(11), cnt int(11) );
set i = 0;
set cnt_c = ceil((t_end - beg) / period) ;
WHILE i < cnt_c DO
insert into tmp_res
select concat(beg + period * i, "_", beg + period * (i+1)), c, count(distinct(uid)) from
(select t1.uid, t1.c from tmp_c t1 left join
(select uid, min(tm) from events_view where
locate("level_end:001:win", e) > 0 and
tm > (beg + period * i) AND tm <= (beg + period * (i+1)) group by uid ) t2
on t1.uid = t2.uid where t2.uid is not null) t3
group by c;
SET i = i+1;
END WHILE;
/*getting result of the first method: tooo slooooow!*/
select * from tmp_res;
The result I've got (it's ok that some cohorts are not appear on some periods):
"1423832400_1423890000","1","35"
"1423832400_1423890000","2","3"
"1423832400_1423890000","3","1"
"1423832400_1423890000","4","1"
"1423890000_1423947600","1","21"
"1423890000_1423947600","2","50"
"1423890000_1423947600","3","2"
"1423947600_1424005200","1","9"
"1423947600_1424005200","2","24"
"1423947600_1424005200","3","70"
"1423947600_1424005200","4","6"
"1424005200_1424062800","1","7"
"1424005200_1424062800","2","15"
"1424005200_1424062800","3","21"
"1424005200_1424062800","4","32"
"1424062800_1424120400","1","7"
"1424062800_1424120400","2","13"
"1424062800_1424120400","3","24"
"1424062800_1424120400","4","18"
"1424120400_1424178000","1","10"
"1424120400_1424178000","2","12"
"1424120400_1424178000","3","18"
"1424120400_1424178000","4","14"
"1424178000_1424235600","1","6"
"1424178000_1424235600","2","7"
"1424178000_1424235600","3","9"
"1424178000_1424235600","4","12"
"1424235600_1424293200","1","6"
"1424235600_1424293200","2","8"
"1424235600_1424293200","3","9"
"1424235600_1424293200","4","5"
"1424293200_1424350800","1","5"
"1424293200_1424350800","2","3"
"1424293200_1424350800","3","11"
"1424293200_1424350800","4","10"
"1424350800_1424408400","1","8"
"1424350800_1424408400","2","5"
"1424350800_1424408400","3","7"
"1424350800_1424408400","4","7"
"1424408400_1424466000","2","6"
"1424408400_1424466000","3","7"
"1424408400_1424466000","4","3"
"1424466000_1424523600","1","3"
"1424466000_1424523600","2","4"
"1424466000_1424523600","3","8"
"1424466000_1424523600","4","2"
"1424523600_1424581200","2","3"
"1424523600_1424581200","3","3"
It works but it takes too much time to process because there are many queries here instead of one, so I need to rewrite it.
I think it can be rewritten with joins, but I'm still not sure how.
I decided to make a temporary table and write period boundaries in it:
DROP TABLE IF EXISTS tmp_times;
create temporary table tmp_times (tm_start int(11), tm_end int(11));
set cnt_c = ceil((t_end - beg) / period) ;
set i = 0;
WHILE i < cnt_c DO
insert into tmp_times values( beg + period * i, beg + period * (i+1));
SET i = i+1;
END WHILE;
Then I get periods-to-events mapping (user_id + timestamp represent particular event) to temp table and left join it to cohorts table and group the result:
SELECT Concat(tm_start, "_", tm_end) per,
t1.c coh,
Count(DISTINCT( t2.uid ))
FROM tmp_c t1
LEFT JOIN (SELECT *
FROM tmp_times t3
LEFT JOIN (SELECT uid,
tm
FROM events_view
WHERE Locate("level_end:101:win", e) > 0)
t4
ON ( t4.tm > t3.tm_start
AND t4.tm <= t3.tm_end )
WHERE t4.uid IS NOT NULL
ORDER BY t3.tm_start) t2
ON t1.uid = t2.uid
WHERE t2.uid IS NOT NULL
GROUP BY per,
coh
ORDER BY per,
coh;
In my tests this returns the same result as method #1. I can't check the result manually, but I understand how method #1 work more and as far I can see it gives what I want. Method #2 is faster, but I'm not sure it's the best way and it will give the same result even if cohorts will intersect.
Maybe there are well-known common methods to perform a cohort analysis in SQL? Is method #1 I use more reliable than method #2? I work with joins not that often, that's why still do not fully understand joins magic yet.
Method #2 looks like pure magic, and I used to not believe in what I don't understand :)
Thanks for answers!

MySQL Update CASE updates field with "0"

I have a problem by updating my SQL-Table with the CASE statement.
SELECT number,amount,minimuminventory FROM artikel WHERE number=17;
+--------+--------+------------------+
| number | amount | minimuminventory |
+--------+--------+------------------+
| 17 | 10 | 0 |
+--------+--------+------------------+
I have an amount of 10 but when I update my table:
UPDATE artikel
SET amount = CASE WHEN amount - minimuminventory - 2 < 0
THEN amount=amount-2
ELSE amount=99
END
WHERE artnr=17;
Query OK, 1 rows affected (0,01 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql updates my table an sets amount to 0
SELECT number,amount,minimuminventory FROM artikel WHERE number=17;
+--------+--------+------------------+
| number | amount | minimuminventory |
+--------+--------+------------------+
| 17 | 0 | 0 |
+--------+--------+------------------+
Do you you see the problem?
amount = CASE WHEN amount - minimuminventory - 2 < 0 THEN amount=amount-2 ELSE amount=99 END
The value from the CASE statement is the intended value for the amount column, but you're doing amount=x again inside the THEN and ELSE parts of it. Change it to this:
amount = CASE WHEN amount - minimuminventory - 2 < 0 THEN amount-2 ELSE 99 END
Do you you see the problem?
In your statement:
UPDATE artikel
SET amount = CASE WHEN amount - minimuminventory - 2 < 0
THEN amount=amount-2
ELSE amount=99
END
WHERE artnr=17;
The comparison is interpreted as boolean but not as assignment.
SET amount = (amount=amount-2) -- comparison as if amount is equal to (17=17-2)
SET amount = (amount=99) -- comparison as if amount is equal to (17=99)
SET amount = false -- i.e. 0, because 17 != 15 or 17 != 99
That resulted a value of 0 in amount column.
Change your update statement as below:
UPDATE artikel
SET amount = CASE WHEN amount - minimuminventory - 2 < 0
THEN amount-2
ELSE 99
END
WHERE artnr=17;

Get frequency distribution of a decimal range in MySQL

I'm looking for an elegant way (in terms of syntax, not necessarily efficient) to get the frequency distribution of a decimal range.
For example, I have a table with ratings column which can be a negative or positive. I want to get the frequency of rows with a rating of certain range.
- ...
- [-140.00 to -130.00): 5
- [-130.00 to -120.00): 2
- [-120.00 to -110.00): 1
- ...
- [120.00 to 130.00): 17
- and so on.
[i to j) means i inclusive to j exclusive.
Thanks in advance.
You could get pretty close using 'select floor(rating / 10), count(*) from (table) group by 1'
I was thinking of seomthing that could do many levels like
DELIMITER $$
CREATE PROCEDURE populate_stats()
BEGIN
DECLARE range_loop INT Default 500 ;
simple_loop: LOOP
SET the_next = range_loop - 10;
Select sum(case when range between range_loop and the_next then 1 else 0 end) from table,
IF the_next=-500 THEN
LEAVE simple_loop;
END IF;
END LOOP simple_loop;
END $$
usage: call populate_stats();
Would handle 100 ranges from 500-490, 490-480, ... -480 - -490, -490 - -500
assuming a finite number of ranges.
Select
sum(case when val between -140 to -130 then 1 else 0 end) as sum-140_to_-130,
sum(Case when val between -130 to -120 then 1 else 0 end) as sum-130_to_-140,
...
FROM table
and if not, you could use dynamic SQL to generate the select allowing a number of ranges however you may run into a column limitation.
Just put your desired ranges into a table, and use that to discriminate the values.
-- SET search_path='tmp';
DROP TABLE measurements;
CREATE TABLE measurements
( zval INTEGER NOT NULL PRIMARY KEY
);
INSERT INTO measurements (zval)
SELECT generate_series(1,1000);
DELETE FROM measurements WHERE random() < 0.20 ;
DROP TABLE ranges;
CREATE TABLE ranges
( zmin INTEGER NOT NULL PRIMARY KEY
, zmax INTEGER NOT NULL
);
INSERT INTO ranges(zmin,zmax) VALUES
(0, 100), (100, 200), (200, 300), (300, 400), (400, 500),
(500, 600), (600, 700), (700, 800), (800, 900), (900, 1000)
;
SELECT ra.zmin,ra.zmax
, COUNT(*) AS zcount
FROM ranges ra
JOIN measurements me
ON me.zval >= ra.zmin AND me.zval < ra.zmax
GROUP BY ra.zmin,ra.zmax
ORDER BY ra.zmin
;
Results:
zmin | zmax | zcount
------+------+--------
0 | 100 | 89
100 | 200 | 76
200 | 300 | 76
300 | 400 | 74
400 | 500 | 86
500 | 600 | 78
600 | 700 | 75
700 | 800 | 75
800 | 900 | 80
900 | 1000 | 82
(10 rows)

How do I check to see if a value is an integer in MySQL?

I see that within MySQL there are Cast() and Convert() functions to create integers from values, but is there any way to check to see if a value is an integer? Something like is_int() in PHP is what I am looking for.
I'll assume you want to check a string value. One nice way is the REGEXP operator, matching the string to a regular expression. Simply do
select field from table where field REGEXP '^-?[0-9]+$';
this is reasonably fast. If your field is numeric, just test for
ceil(field) = field
instead.
Match it against a regular expression.
c.f. http://forums.mysql.com/read.php?60,1907,38488#msg-38488 as quoted below:
Re: IsNumeric() clause in MySQL??
Posted by: kevinclark ()
Date: August 08, 2005 01:01PM
I agree. Here is a function I created for MySQL 5:
CREATE FUNCTION IsNumeric (sIn varchar(1024)) RETURNS tinyint
RETURN sIn REGEXP '^(-|\\+){0,1}([0-9]+\\.[0-9]*|[0-9]*\\.[0-9]+|[0-9]+)$';
This allows for an optional plus/minus sign at the beginning, one optional decimal point, and the rest numeric digits.
Suppose we have column with alphanumeric field having entries like
a41q
1458
xwe8
1475
asde
9582
.
.
.
.
.
qe84
and you want highest numeric value from this db column (in this case it is 9582) then this query will help you
SELECT Max(column_name) from table_name where column_name REGEXP '^[0-9]+$'
Here is the simple solution for it
assuming the data type is varchar
select * from calender where year > 0
It will return true if the year is numeric else false
This also works:
CAST( coulmn_value AS UNSIGNED ) // will return 0 if not numeric string.
for example
SELECT CAST('a123' AS UNSIGNED) // returns 0
SELECT CAST('123' AS UNSIGNED) // returns 123 i.e. > 0
To check if a value is Int in Mysql, we can use the following query.
This query will give the rows with Int values
SELECT col1 FROM table WHERE concat('',col * 1) = col;
The best i could think of a variable is a int Is a combination with MySQL's functions CAST() and LENGTH().
This method will work on strings, integers, doubles/floats datatypes.
SELECT (LENGTH(CAST(<data> AS UNSIGNED))) = (LENGTH(<data>)) AS is_int
see demo http://sqlfiddle.com/#!9/ff40cd/44
it will fail if the column has a single character value. if column has
a value 'A' then Cast('A' as UNSIGNED) will evaluate to 0 and
LENGTH(0) will be 1. so LENGTH(Cast('A' as UNSIGNED))=LENGTH(0) will
evaluate to 1=1 => 1
True Waqas Malik totally fogotten to test that case. the patch is.
SELECT <data>, (LENGTH(CAST(<data> AS UNSIGNED))) = CASE WHEN CAST(<data> AS UNSIGNED) = 0 THEN CAST(<data> AS UNSIGNED) ELSE (LENGTH(<data>)) END AS is_int;
Results
**Query #1**
SELECT 1, (LENGTH(CAST(1 AS UNSIGNED))) = CASE WHEN CAST(1 AS UNSIGNED) = 0 THEN CAST(1 AS UNSIGNED) ELSE (LENGTH(1)) END AS is_int;
| 1 | is_int |
| --- | ------ |
| 1 | 1 |
---
**Query #2**
SELECT 1.1, (LENGTH(CAST(1 AS UNSIGNED))) = CASE WHEN CAST(1.1 AS UNSIGNED) = 0 THEN CAST(1.1 AS UNSIGNED) ELSE (LENGTH(1.1)) END AS is_int;
| 1.1 | is_int |
| --- | ------ |
| 1.1 | 0 |
---
**Query #3**
SELECT "1", (LENGTH(CAST("1" AS UNSIGNED))) = CASE WHEN CAST("1" AS UNSIGNED) = 0 THEN CAST("1" AS UNSIGNED) ELSE (LENGTH("1")) END AS is_int;
| 1 | is_int |
| --- | ------ |
| 1 | 1 |
---
**Query #4**
SELECT "1.1", (LENGTH(CAST("1.1" AS UNSIGNED))) = CASE WHEN CAST("1.1" AS UNSIGNED) = 0 THEN CAST("1.1" AS UNSIGNED) ELSE (LENGTH("1.1")) END AS is_int;
| 1.1 | is_int |
| --- | ------ |
| 1.1 | 0 |
---
**Query #5**
SELECT "1a", (LENGTH(CAST("1.1" AS UNSIGNED))) = CASE WHEN CAST("1a" AS UNSIGNED) = 0 THEN CAST("1a" AS UNSIGNED) ELSE (LENGTH("1a")) END AS is_int;
| 1a | is_int |
| --- | ------ |
| 1a | 0 |
---
**Query #6**
SELECT "1.1a", (LENGTH(CAST("1.1a" AS UNSIGNED))) = CASE WHEN CAST("1.1a" AS UNSIGNED) = 0 THEN CAST("1.1a" AS UNSIGNED) ELSE (LENGTH("1.1a")) END AS is_int;
| 1.1a | is_int |
| ---- | ------ |
| 1.1a | 0 |
---
**Query #7**
SELECT "a1", (LENGTH(CAST("1.1a" AS UNSIGNED))) = CASE WHEN CAST("a1" AS UNSIGNED) = 0 THEN CAST("a1" AS UNSIGNED) ELSE (LENGTH("a1")) END AS is_int;
| a1 | is_int |
| --- | ------ |
| a1 | 0 |
---
**Query #8**
SELECT "a1.1", (LENGTH(CAST("a1.1" AS UNSIGNED))) = CASE WHEN CAST("a1.1" AS UNSIGNED) = 0 THEN CAST("a1.1" AS UNSIGNED) ELSE (LENGTH("a1.1")) END AS is_int;
| a1.1 | is_int |
| ---- | ------ |
| a1.1 | 0 |
---
**Query #9**
SELECT "a", (LENGTH(CAST("a" AS UNSIGNED))) = CASE WHEN CAST("a" AS UNSIGNED) = 0 THEN CAST("a" AS UNSIGNED) ELSE (LENGTH("a")) END AS is_int;
| a | is_int |
| --- | ------ |
| a | 0 |
see demo
What about:
WHERE table.field = "0" or CAST(table.field as SIGNED) != 0
to test for numeric and the corrolary:
WHERE table.field != "0" and CAST(table.field as SIGNED) = 0
I have tried using the regular expressions listed above, but they do not work for the following:
SELECT '12 INCHES' REGEXP '^(-|\\+){0,1}([0-9]+\\.[0-9]*|[0-9]*\\.[0-9]+|[0-9]+)$' FROM ...
The above will return 1 (TRUE), meaning the test of the string '12 INCHES' against the regular expression above, returns TRUE. It looks like a number based on the regular expression used above. In this case, because the 12 is at the beginning of the string, the regular expression interprets it as a number.
The following will return the right value (i.e. 0) because the string starts with characters instead of digits
SELECT 'TOP 10' REGEXP '^(-|\\+){0,1}([0-9]+\\.[0-9]*|[0-9]*\\.[0-9]+|[0-9]+)$' FROM ...
The above will return 0 (FALSE) because the beginning of the string is text and not numeric.
However, if you are dealing with strings that have a mix of numbers and letters that begin with a number, you will not get the results you want. REGEXP will interpret the string as a valid number when in fact it is not.
This works well for VARCHAR where it begins with a number or not..
WHERE concat('',fieldname * 1) != fieldname
may have restrictions when you get to the larger NNNNE+- numbers
for me the only thing that works is:
CREATE FUNCTION IsNumeric (SIN VARCHAR(1024)) RETURNS TINYINT
RETURN SIN REGEXP '^(-|\\+){0,1}([0-9]+\\.[0-9]*|[0-9]*\\.[0-9]+|[0-9]+)$';
from kevinclark all other return useless stuff for me in case of 234jk456 or 12 inches