If I generate an identity for a table on the column cust-id, I want the next column userid to be cust-id+CID.
E.g. 000000001CID, 0000000002CID
What sql do I include for this?
Similarly if I have 00001 in the column Cust-id and abcd in the column section, the 3rd column must have value 00001abcd
Please let me know the solutions
You just need to create a trigger. Something like
CREATE TRIGGER A
BEFORE INSERT ON TABLE B
REFERENCING NEW AS N
FOR EACH ROW
BEGIN
SET N.userid = N.CUST_ID + N.CID ;
IF (N.CUST_ID = '00001' AND N.SECTION = 'abcd') THEN
SET N.THIRD = N.CUST_ID + N.SECTION
END IF;
END #
By the way, generating values in column shows that your module is not normalize, and sometimes this is a source of errors.
Related
SUMMARY: I've two tables I want to derive info out of: family_values (family_name, item_regex) and product_ids (product_id) to be able to update the property family_name in a third.
Here the plan is to grab a json array from the small family_values table and use the column value item_regex to do a test match against the product_id for every row in product_ids.
MORE DETAILS: Importing static data from CSV to table of orders. But, in evaluating cost of goods and market value I'm needing to continuously determine family from a prefix regex (item_regex from family_values) match on the product_id.
On the client this looks like this:
const families = {
FOOBAR: 'Big Ogre',
FOOBA: 'Wood Elf',
FOO: 'Valkyrie'
};
// And to find family, and subsequently COGs and Market Value:
const findFamily = product_id => Object.keys(families).find(f => new RegExp('^' + f).test(product_id));
This is a huge hit for the client so I made a family_values table in PG to include a representative: family_name, item_regex, cogs, market_value.
Then, the product_ids has a list of only the products the app cares about (out of millions). This is actually used with an insert trigger 'on before' to ignore any CSV entries that aren't in the product_ids view. So, I guess after that the product_ids view could be taken out of the equation because the orders, after inserting readonly data, has its own matching product_id. It does NOT have family_name, so I still have the issue of determining that client-side.
PSUEDO CODE: update family column of orders with family_name from family_values regex match against orders.product_id
OR update the product_ids table with a new family column and use that with the existing on insert trigger (used to left pad zeros and normalize data right now). Now I'm thinking this may be just an update as suggested, but not real good with regex in PG. I'm a PG novice.
PROBLEM: But, I'm having a hangup in doing what I thought would be like a JS Array Find operation. The family_values have been sorted on the item_regex so that the most strict match would be on top, and therefor found first.
For example, with sorting we have:
family_values_array = [
{"family_name": "Big Ogre", "item_regex": "FOOBAR"},
{"family_name": "Wood Elf", "item_regex": "FOOBA"},
{"family_name": "Valkyrie", "item_regex": "FOO"}]
So, that the comparison of product_id of ^FOOBA would yield family "Wood Elf".
SOLUTION:
The solution I finally came about using was simply using concat to write out the front-anchored regex. It was so simple in the end. The key line I was missing is:
select * into family_value_row from iol.family_values
where lvl3_id = product_row.lvl3_id and product_row.product_id
like concat(item_regex, '%') limit 1;
Whole function:
create or replace function iol.populate_families () returns void as $$
declare
product_row record;
family_value_row record;
begin
for product_row in
select product_id, lvl3_id from iol.products
loop
-- family_name is what we want after finding the BEST match fr a product_id against item_regex
select * into family_value_row from iol.family_values
where lvl3_id = product_row.lvl3_id and product_row.product_id like concat(item_regex, '%') limit 1;
-- update family_name and value columns
update iol.products set
family_name = family_value_row.family_name,
cog_cents = family_value_row.cog_cents,
market_value_cents = family_value_row.market_value_cents
where product_id = product_row.product_id;
end loop;
end;
$$
LANGUAGE plpgsql;
Use concat as updated above:
select * into family_value_row from iol.family_values
where lvl3_id = product_row.lvl3_id and product_row.product_id
like concat(item_regex, '%') limit 1;
I need to link various tables that each have a common key (a serial number in this case). In some tables the key has a leading zero e.g. '037443' and on others it doesn't e.g. '37443'. In both cases the serial refers to the same product. To confound things serial 'numbers' are not always just numeric e.g. may be "BDO1234", in these cases there is never a leading zero.
I'd prefer to use the WHERE statement (WHERE a.key = b.key) but could use joins if required. Is there any way to do this?
I'm still learning so please keep it simple if possible. Many thanks.
Based on the accepted answer in this link, I've written a small tsql sample to show you what I meant by 'the right direction':
Create the test table:
CREATE TABLE tblTempTest
(
keyCol varchar(20)
)
GO
Populate it:
INSERT INTO tblTempTest VALUES
('1234'), ('01234'), ('10234'), ('0k234'), ('k2304'), ('00034')
Select values:
SELECT keyCol,
SUBSTRING(keyCol, PATINDEX('%[^0]%', keyCol + '.'), LEN(keyCol)) As trimmed
FROM tblTempTest
Results:
keyCol trimmed
-------------------- --------------------
1234 1234
01234 1234
10234 10234
0k234 k234
k2304 k2304
00034 34
Cleanup:
DROP TABLE tblTempTest
Note that the values are alpha-numeric, and only leading zeroes are trimmed.
One possible drawback is that if there is a 0 after a white space it will not be trimmed, but that's an easy fix - just add ltrim:
SUBSTRING(LTRIM(keyCol), PATINDEX('%[^0]%', LTRIM(keyCol + '.')), LEN(keyCol)) As trimmed
You need to create a function
CREATE FUNCTION CompareSerialNumbers(#SerialA varchar(max), #SerialB varchar(max))
RETURNS bit
AS
BEGIN
DECLARE #ReturnValue AS bit
IF (ISNUMERIC(#SerialA) = 1 AND ISNUMERIC(#SerialB) = 1)
SELECT #ReturnValue =
CASE
WHEN CAST(#SerialA AS int) = CAST(#SerialB AS int) THEN 1
ELSE 0
END
ELSE
SELECT #ReturnValue =
CASE
WHEN #SerialA = #SerialB THEN 1
ELSE 0
END
RETURN #ReturnValue
END;
GO
If both are numeric then it compares them as integers otherwise it compares them as strings.
Following is sample table and data
create table chk_vals (vals text);
insert into chk_vals values ('1|2|4|3|9|8|34|35|38|1|37|1508|1534');
So,How to update column vals by appending integer in 4th position of the existing value(ie. 3 | is used as a seperator) into the last position along with symbol |
as you can see the existsing value if 1|2|4|3|9|8|34|35|38|1|37|1508|1534 and the output should be 1|2|4|3|9|8|34|35|38|1|37|1508|1534|3
Use PostgreSQL's split_part() to splits the field and find the value at position 4
select split_part(vals,'|',4) val from chk_vals
this will return value 3
update chk_vals
set vals=vals||format('|%s',(select split_part(vals,'|',4) val from chk_vals))
Format()
I've got two tables that I'd like to combine into a view. The first table contains the structure:
Template Table
componentID | title
======================
1000 | blue
1001 | red
1002 | orange
The second table contains the actual data that will be stored, and the columns reference the ID of the first table:
Data Table
id | field1000 | field1001 | field1002
======================================
1 | navy | ruby | vermilion
2 | midnight | crimson | amber
What I'd like to get as a result in a view:
Combined Table/View?
id | blue | red | orange
=================================
1 | navy | ruby | vermilion
2 | midnight | crimson | amber
Is this possible? I've been trying to get it to work with pivot tables, but I'm getting hung up on how to use the titles as the columns for the data.
Ok, I went a bit overboard with this one but this will do what you want. This procedure will combine all fields with the proper data table columns, and does not need to know nor care how many columns there are in the data tables.
It does not use cursors, but due to the possibility of many template tables, it does use Dynamic SQL to generate the Select statement for the final return.
Only caveat is it's not a View, it's a stored procedure, because it allows to pass the variable for the data table you want to ultimately select from.
The assumptions:
The template table is static
There is one template table for all data tables
All fields in any data tables must be unique *
All data tables have a PK/identity field with the word 'id' in it that must be ignored
All fields in the data tables have a corresponding title in the template table
All fields in the data table are prefixed with the word 'field' and all of the reference ID's in the template table correspond to those field names with 'field' removed, based on your example
*- It can of course be improved by modifying the template table schema to also have a field for the data table that the field title belongs to, for example, which would remove this assumption #3.
The process:
First we need a mapping of the field names, reference IDs, and column titles. We do this with a table variable and get our info from syscolumns. Then, we update our temp table to get the titles from the TemplateTable table.
Then, we need to build a dynamic Select list from the DataTable (which is a parameter in the SP and therefore requires some dynamic SQL to execute). My preferred method of doing this is by having a bit column in my source table that I can update, something like 'IsCompleted', and then using a regular While loop to get through each row. Inside the While loop, all we do is grab the current "TitleReference" from our temporary table variable, and append to the select list the real field name from syscolumns (from first step above).
Finally, we execute the dynamic SQL statement which has a Select, and when this is inside a stored procedure that is executed, the result is returned as the result of the stored procedure.
The Full Working Code
Create Procedure usp_CombineTables
(
#DataTableName varchar(50)
)
As
-- Test
-- Exec usp_CombineTables 'DataTable'
-- Set up our variables
Declare #DataTableIdFieldName varchar(50), -- The ID field of the data table, dynamic
#IsCompleted bit, -- Used by While loop to know when to exit
#CurrentTitleReference int, -- Used in While loop as the ID from TemplateTable that relates to the real data field name and the desired title
#CurrentDataFieldName varchar(50), -- Used in While loop for the current actual field name in the data table
#CurrentTitle varchar(50), -- Used in While loop for the desired field name in the resulting table of the stored proc
#DynamicSelectQuery varchar(2000) -- Stores the SQL query that is dynamically built and executed for the final result; can increase value if needed
-- Use table variable to correlate the datatable columns, titles, and references
Declare #TitleReferences Table (
TitleReference int,
DataTableColumnName varchar(50),
Title varchar(50),
Completed bit default 0
)
-- Get the info from syscolumns about our datatable; assumes that all of the field names are prefixed with the word 'field' which needs to be removed
Insert Into #TitleReferences (
TitleReference,
DataTableColumnName
)
Select
Replace(name, 'field', '') As TitleReference,
name As DataTableColumnName
From syscolumns
Where id = OBJECT_ID(#DataTableName)
And name Not Like '%id%' -- assumes DataTable will always have a PK with 'id' in it, need to ignore/remove
-- Get the titles -- assumes only one template table for all data tables; all data fields accross tables must be unique
Update #TitleReferences
Set Title = t.Title From TemplateTable As t
Where TitleReference = t.ComponentID
-- Get the ID field of the data table
Set #DataTableIdFieldName = (
Select name From syscolumns
Where id = OBJECT_ID(#DataTableName)
And name Like '%id%')
-- Build a dynamic SQL query to select from the datatable with the right column names
Set #DynamicSelectQuery = 'Select ' + #DataTableIdFieldName + ', ' -- start with the ID
Set #IsCompleted = 0
While (#IsCompleted = 0)
Begin
-- Retrieve the field name and title from the current row based on title reference
Set #CurrentTitleReference = (Select Top 1 TitleReference From #TitleReferences Where Completed = 0)
Set #CurrentDataFieldName = (Select DataTableColumnName From #TitleReferences Where TitleReference = #CurrentTitleReference)
Set #CurrentTitle = (Select Title From #TitleReferences Where TitleReference = #CurrentTitleReference)
-- Append the next select field to the dynamic query
Set #DynamicSelectQuery = #DynamicSelectQuery +
#CurrentDataFieldName + ' As ' + QuoteName(#CurrentTitle)
-- Set up to move past current record in next iteration
Update #TitleReferences Set Completed = 1 Where TitleReference = #CurrentTitleReference
-- Exit loop or add comma for next field
If (Select Count(Completed) From #TitleReferences Where Completed = 0) = 0
Begin
Set #IsCompleted = 1
End
Else
Begin
-- Add comma to select field for next column
Set #DynamicSelectQuery = #DynamicSelectQuery + ','
End
End
-- Now the column list is built, just add the table and exec
Set #DynamicSelectQuery = #DynamicSelectQuery +
' From ' + #DataTableName
Exec(#DynamicSelectQuery)
The Result
Hope this helps, it was fun writing it!
something on these lines
DECLARE #f0 VARCHAR(50)=(SELECT title FROM template WHERE componentID=1000)
DECLARE #f1 VARCHAR(50)=(SELECT title FROM template WHERE componentID=1001)
DECLARE #f2 VARCHAR(50)=(SELECT title FROM template WHERE componentID=1002)
#sql='SELECT field1000 AS ' + quotename(#f0) + ' field1001 AS ' + quotename(#f1) + ' field1002 AS ' + quotename(#f2) + ' FROM data'
exec sp_executesql #sql
I have a spreadsheet with multiple columns, one of which is an owner_id column. The problem is that this column contains a comma delimited list of owner id's and not just a single one.
I've imported this spreadsheet into my sql database (2008) and have completed other importing tasks and now have a parcel_id column as a result of this process.
I need to create an entry in my parcelOwners table for each parcelID/ownerID pair, but I'm not sure how to go about this with the owner id's being in the comma delimited list.
My tables look like this:
ImportData
=================
owner_id varchar,
parcelID int
sample row (owner_id = '13782, 21431', parcelID = 319)
ParcelOwners
=================
ownerID int,
parcelID int
row from ImportData table should look like:
ownerID = 13782, parcelID = 319
ownerID = 21431, parcelID = 319
Is this a common situation for anybody and if so, how do you go about getting around this?
The below function will split you comma sep column into a table. You will then need to iterate through the temp table and insert 1 row into your parcelOwners table using the data from your single column. To get this to work you will need an outer loop to iterate through the parcelOwners table and an inner loop to iterate through the #temptable for each row. Also, don't forget, if you come to a row in your outer loop with no comma's in the owner_id column you won't want to do anything.
CREATE FUNCTION dbo.Split(#String varchar(8000), #Delimiter char(1))
returns #temptable TABLE (items varchar(8000))
as
begin
declare #idx int
declare #slice varchar(8000)
select #idx = 1
if len(#String)<1 or #String is null return
while #idx!= 0
begin
set #idx = charindex(#Delimiter,#String)
if #idx!=0
set #slice = left(#String,#idx - 1)
else
set #slice = #String
if(len(#slice)>0)
insert into #temptable(Items) values(#slice)
set #String = right(#String,len(#String) - #idx)
if len(#String) = 0 break
end
return
end
You can do this easily leveraging SQL Server's XML functions:
WITH xmlData (xml_owner_id,parecelID) AS (
/* make into xml */
SELECT cast('<x>'+replace(owner_id,',','</x><x>')+'</x>' as XML) AS xml_owner_id, parecelID
FROM ImportData
)
SELECT x.value('.','int') AS owner_id, parecelID /* split up */
FROM xmlData
CROSS APPLY xmlData.xml_owner_id.nodes('//x') AS func(x)
(In response to #senloe's question about how to use the function supplied by #RandomBen)
This answer to a previous question shows how to use OUTER APPLY to apply a function to every row in a table. In your case, and assuming you have already run #RandomBen's code to create the dbo.Split function, the syntax would look something like this:
INSERT INTO ParcelOwners (ownerId, parcelID)
SELECT CONVERT(int, Results.items), ImportData.parcelID
FROM ImportData
OUTER APPLY dbo.Split(ImportData.owner_id, ',') AS Results
(I don't have access to SQL Server right now, so I haven't tried it yet. You can run it without the first line, i.e. just from SELECT onwards, to see what output it is going to generate before you actually do the INSERT).