String greater than or less than - sql

I have the following data:
[sequences]
/a1
/a2
/a3
...
/a10
The query SELECT * FROM sequences WHERE nbr <= '/a10' should return the list above, instead it returns:
[results]
/a1
/a10
How do I make it return all the rows in the above list?

It works as it should. To compare the numeric value, you'll have to convert these to numbers somehow. A good start would be to use substr(yourfieldname, 3) to cut of the/a. Then you can useconvert` to typecast it to int, so your final query will look something like:
select * from sequences where convert(int, substr(nbr, 3)) <= 10
Mind that the exact functions and rules for converting strings to ints may very per dbms. This illustrates the general idea, though.

SELECT *
FROM sequences
WHERE toInt(substring (nbr, 2)) <= 10;
Name and syntax of 'substring'-function and 'toInt' will vary from db-implementation to db-implementation.

Related

Count all elements in an array

I have a table that I save some data include list of numbers.
like this:
numbers
(null)
،42593
،42593،42594،36725،42592،36725،42592
،42593،42594،36725،42592
،31046،36725،42592
I would like to count the number elements in every row in SQL Server
count
0
1
6
4
3
You could use a replacement trick here:
SELECT numbers,
COALESCE(LEN(numbers) - LEN(REPLACE(numbers, ',', '')), 0) AS num_elements
FROM yourTable;
The above trick works by counting the number of commas (assuming your data really has commas as separators). For example, your last sample data point was:
,31046,36725,42592 => length is 18
310463672542592 => length is 15
Hence the difference in lengths correctly yields the right number of elements.
Another idea is to useSTRING_SPLIT:
SELECT y.numbers,
(SELECT COUNT(Value) - 1
FROM string_split(COALESCE(y.numbers,''),',')) AS num_elements
FROM yourtable AS y;
I know this looks a bit unhandy on first glance due to this strange -1 in the second line and the COALESCE in the third line. So why do I talk about this option?
Well, the strange thing in your case which causes these difficulties in my query is that your rows always start with a comma.
This is quite weird and it would be much easier without this first comma in every row.
Let's assume you remove this comma in future. Then this will become really easy and good readable:
SELECT y.numbers,
(SELECT COUNT(Value)
FROM string_split(y.numbers,',')) AS num_elements
FROM yourtable AS y;
Try out: db<>fiddle
your data
CREATE TABLE yourtable(
numbers VARCHAR(max)
);
INSERT INTO yourtable
(numbers) VALUES
(null),
('،42593'),
('،42593،42594،36725،42592،36725،42592'),
('،42593،42594،36725،42592'),
('،31046،36725،42592');
you need ISNULL and len
select
ISNULL(len(numbers) - len(replace(numbers,'،','')) ,0) count
from yourtable
the other way is by using IIF and string_split as follows
SELECT IIF(count < 0, 0, count) count
FROM   (SELECT (SELECT Count(*) - 1
                FROM   STRING_SPLIT (Replace(Replace(numbers, 'R', ''), '،',
                                     'R'), 'R'
                       )) AS
               'count'
        FROM   yourtable) A
dbfiddle

selecting rows depending on the first digit of an integer in a column

Using SQL in PostgreSQL I need to select all the rows from my table called "crop" when the first digit of the integer numbers in column "field_id" is 7.
select *
from crop
where (left (field_id,1) = 7)
First, you know that the column is a number, so I would be inclined to explicitly convert it, no matter what you do:
where left(crop::text, 1) = '7'
where crop::text like '7%'
The conversion to text is simply to be explicit about what is happening and it makes it easier for Postgres to parse the query.
More importantly, if the value has a fixed number of digits, then I would suggest using a numeric range; something like this:
where crop >= 700000 and crop < 800000
This makes it easier for Postgres to use an index on the column.
Try with cast, like this:
select *
from crop
where cast(substring(cast(field_id as varchar(5)),1,1) as int) = 7
where 5 in varchar(5) you should put number how long is your integer.

How to find values with certain number of decimal places using SQL?

I'm trying to figure out a way, using SQL, to query for values that go out to, say, 5 or more decimal places. In other words, I want to see only results that have 5+ decimal places (e.g. 45.324754) - the numbers before the decimal are irrelevant, however, I still need to see the full number. Is this possible? Any help if appreciated.
Assuming your DBMS supports FLOOR and your datatype conversion model supports this multiplication, you can do this:
SELECT *
FROM Table
WHERE FLOOR(Num*100000)!=Num*100000
This has the advantage of not requiring a conversion to a string datatype.
On SQL Server, you can specify:
SELECT *
FROM Table
WHERE Value <> ROUND(Value,4,1);
For an ANSI method, you can use:
SELECT *
FROM Table
WHERE Value <> CAST(Value*100000.0 AS INT) / 100000.0;
Although this method might cause an overflow if you're working with large numbers.
I imagine most DBMSs have a round function
SELECT *
FROM YourTable
WHERE YourCol <> ROUND(YourCol,4)
This worked for me in SQL Server:
SELECT *
FROM YourTable
WHERE YourValue LIKE '%._____%';
select val
from tablename
where length(substr(val,instr(val, '.')+1)) > 5
This is a way to do it in oracle using substr and instr
You can use below decode statement to identify maximum decimal present in database table
SELECT max(decode(INSTR(val,'.'), 0, 0, LENGTH(SUBSTR(val,INSTR(val,'.')+1)))) max_decimal
FROM tablename A;

Determine MAX Decimal Scale Used on a Column

In MS SQL, I need a approach to determine the largest scale being used by the rows for a certain decimal column.
For example Col1 Decimal(19,8) has a scale of 8, but I need to know if all 8 are actually being used, or if only 5, 6, or 7 are being used.
Sample Data:
123.12345000
321.43210000
5255.12340000
5244.12345000
For the data above, I'd need the query to either return 5, or 123.12345000 or 5244.12345000.
I'm not concerned about performance, I'm sure a full table scan will be in order, I just need to run the query once.
Not pretty, but I think it should do the trick:
-- Find the first non-zero character in the reversed string...
-- And then subtract from the scale of the decimal + 1.
SELECT 9 - PATINDEX('%[1-9]%', REVERSE(Col1))
I like #Michael Fredrickson's answer better and am only posting this as an alternative for specific cases where the actual scale is unknown but is certain to be no more than 18:
SELECT LEN(CAST(CAST(REVERSE(Col1) AS float) AS bigint))
Please note that, although there are two explicit CAST calls here, the query actually performs two more implicit conversions:
As the argument of REVERSE, Col1 is converted to a string.
The bigint is cast as a string before being used as the argument of LEN.
SELECT
MAX(CHAR_LENGTH(
SUBSTRING(column_name::text FROM '\.(\d*?)0*$')
)) AS max_scale
FROM table_name;
*? is the non-greedy version of *, so \d*? catches all digits after the decimal point except trailing zeros.
The pattern contains a pair of parentheses, so the portion of the text that matched the first parenthesized subexpression (that is \d*?) is returned.
References:
https://www.postgresql.org/docs/9.6/static/sql-createcast.html
https://www.postgresql.org/docs/9.6/static/functions-matching.html
Note this will scan the entire table:
SELECT TOP 1 [Col1]
FROM [Table]
ORDER BY LEN(PARSENAME(CAST([Col1] AS VARCHAR(40)), 1)) DESC

PostgreSQL: IN A SINGLE SQL SYNTAX order by numeric value computed from a text column

A column has a string values like "1/200", "3.5" or "6". How can I convert this String to numeric value in single SQL query?
My actual SQL is more complicated, here is a simple example:
SELECT number_value_in_string FROM table
number_value_in_string's format will be one of:
##
#.##
#/###
I need to sort by the numeric value of this column. But of course postgres doesn't agree with me that 1/200 is a proper number.
Seeing your name I cannot but post a simplification of your answer:
SELECT id, number_value_in_string FROM table
ORDER BY CASE WHEN substr(number_value_in_string,1,2) = '1/'
THEN 1/substr(number_value_in_string,3)::numeric
ELSE number_value_in_string::numeric END, id;
Ignoring possible divide by zero.
I would define a stored function to convert the string to a numeric value, more or less like this:
CREATE OR REPLACE FUNCTION fraction_to_number(s CHARACTER VARYING)
RETURN DOUBLE PRECISION AS
BEGIN
RETURN
CASE WHEN s LIKE '%/%' THEN
CAST(split_part(s, '/', 1) AS double_precision)
/ CAST(split_part(s, '/', 2) AS double_precision)
ELSE
CAST(s AS DOUBLE PRECISION)
END CASE
END
Then you can ORDER BY fraction_to_number(weird_column)
If possible, I would revisit the data design. Is it all this complexity really necessary?
This postgres SQL does the trick:
select (parts[1] :: decimal) / (parts[2] :: decimal) as quotient
FROM (select regexp_split_to_array(number_value_in_string, '/') as parts from table) x
Here's a test of this code:
select (parts[1] :: decimal) / (parts[2] :: decimal) as quotient
FROM (select regexp_split_to_array('1/200', '/') as parts) x
Output:
0.005
Note that you would need to wrap this in a case statement to protect against divide-by-zero errors and/or array out of bounds issues etc if the column did not contain a forward slash
Note also that you could do it without the inner select, but you would have to use regexp_split_to_array twice (once for each part) and you would probably incur a performance hit. Nevertheless, it may be easier to code in-line and just accept the small performance loss.
I managed to solve my problem. Thanks all.
It goes something like this, in a single SQL. (I'm using POSTGRESQL)
It will sort a string coming in as either "#", "#.#" or "1/#"
SELECT id, number_value_in_string FROM table ORDER BY CASE WHEN position('1/' in number_value_in_string) = 1
THEN 1/substring(number_value_in_string from (position('1/' in number_value_in_string) + 2) )::numeric
ELSE number_value_in_string::numeric
END ASC, id
Hope this will help someone outhere in the future.