I am trying to use CASE in a SQL Select statement that will allow me to get results where I can utilize the length of one string to produce the resutls of another string. These are for non-matched records from two data sets that share a common ID, but variant Data Source.
Case statement is below:
Select Column1, Column2,
Case
When Column1 = 'Something" and Len(Column2) = '35' Then Column1 = "Something Else" and substring(Column2, 1, 35)
End as Column3
From dbo.xxx
When I run it I get the following error:
Msg 102, Level 15, State 1, Line 5 Incorrect syntax near '='.
You need to have a value for each WHEN, and ought to have an ELSE:
Select Data_Source, CustomerID,
CASE
WHEN Data_Source = 'Test1' and Len(CustomerName) = 35 THEN 'First Value'
WHEN Data_Source = 'Test2' THEN substring(CustomerName, 1, 35)
ELSE 'Sorry, no match.'
END AS CustomerName
From dbo.xx
FYI: Len() doesn't return a string.
EDIT:
A SQL Server answer that addresses some of the comments might be:
declare #DataSource as Table ( Id Int Identity, CustomerName VarChar(64) )
declare #VariantDataSource as Table ( Id Int Identity, CostumerName VarChar(64) )
insert into #DataSource ( CustomerName ) values ( 'Alice B.' ), ( 'Bob C.' ), ( 'Charles D.' )
insert into #VariantDataSource ( CostumerName ) values ( 'Blush' ), ( 'Dye' ), ( 'Pancake Base' )
select *,
-- Output the CostumerName padded or trimmed to the same length as CustomerName. NULLs are not handled gracefully.
Substring( CostumerName + Replicate( '.', Len( CustomerName ) ), 1, Len( CustomerName ) ) as Clustermere,
-- Output the CostumerName padded or trimmed to the same length as CustomerName. NULLs in CustomerName are explicitly handled.
case
when CustomerName is NULL then ''
when Len( CustomerName ) > Len( CostumerName ) then Substring( CostumerName, 1, Len( CustomerName ) )
else Substring( CostumerName + Replicate( '.', Len( CustomerName ) ), 1, Len( CustomerName ) )
end as 'Crustymore'
from #DataSource as DS inner join
#VariantDataSource as VDS on VDS.Id = DS.Id
Select
Column1,
Column2,
Case
When Column1 = 'Something' and Len(Column2) = 35
Then 'Something Else' + substring(Column2, 1, 35)
End as Column3
From dbo.xxx
Update your query on
use '+' for string concat
len() returns int, no need to use ''
remove "Column1 =" in the case when condition
replace "" with ''
Hope this help.
Related
I have edited this legacy script a bit trying not to break a working script. It contains multiple CTEs and in the last statement calls the aggregated and calculated variables created within the CTE. The CTEs run fine from a - c, however with the addition of the final statement breaks the code: SQL Error [XX000]: ERROR: invalid value for "YYYY" in source string. Would appreciate suggestions or changes.
with a as (
select
to_date(df.launch_date, 'YYYYMMDD', FALSE) as n_date,
df.new_name, df.link, df.uid
from (
select
SPLIT_PART(descriptive_field,'_',4) as launch_date,
descriptive_field as new_name,
embedded_link as link,
autocreated_id as uid
from database.schema.table1
union
select
SPLIT_PART(ndf_descriptive_field,'_',4) as launch_date,
ndf_descriptive_field as new_name,
embedded_link as link,
autocreated_id as uid
from database.schema.table2
) as df
where n_date ~ '.*2022.*'
),
b as (
select link, uid,
case
when link ILIKE '%-type1%' THEN title_name||'-type1'
when link....
else new_name
end as new_name
from a
),
c as (
select
new_name,
case
when link ilike ....
when (link ilike .... )
end as link_grouping,
count(distinct(uid)) as dist_usr_cnt
from b
group by 1,2
)
select
c.new_name,
a.n_date,
c.link_grouping,
c.dist_usr_cnt
from c
join a on c.n_name = a.new_name
where a.n_date >= current_date-7
and a.n_date <= current_date-3
order by 2,1,3
;
I have the following table & data:
CREATE TABLE dbo.TableMapping
(
[GenericMappingKey] [nvarchar](256) NULL,
[GenericMappingValue] [nvarchar](256) NULL,
[TargetMappingKey] [nvarchar](256) NULL,
[TargetMappingValue] [nvarchar](256) NULL
)
INSERT INTO dbo.TableMapping
(
[GenericMappingKey]
,[GenericMappingValue]
,[TargetMappingKey]
,[TargetMappingValue]
)
VALUES
(
'Generic'
,'Col1Source|Col1Target;Col2Source|Col2Target;Col3Source|Col3Target;Col4Source|Col4Target;Col5Source|Col5Target;Col6Source|Col6Target'
,'Target'
,'Fruit|Apple;Car|Red;House|Bungalo;Gender|Female;Material|Brick;Solution|IT'
)
I would need to be able to automatically generate my GenericMappingValue string dynamically based on the number of column pairs in the TargetMappingValue column.
Currently, there are 6 column mapping pairs. However, if I only had two mapping column pairs in my TargetMapping such as the following...
'Fruit|Apple;Car|Red'
then I would like for the GenericMappingValue to be automatically generated (updated) such as the following since, as a consequence, I would only have 2 column pairs in my string...
'Col1Source|Col1Target;Col2Source|Col2Target'
I've started building the following query logic:
DECLARE #Mapping nvarchar(256)
SELECT #Mapping = [TargetMappingValue] from TableMapping
print #Mapping
SELECT count(*) ColumnPairCount
FROM String_split(#Mapping, ';')
The above query gives me a correct count of 6 for my column pairs.
How would I be able to continue my logic to achieve my automatically generated mapping string?
I think I understand what you are after. This should get you moving in the right direction.
Since you've tagged 2017 you can use STRING_AGG()
You'll want to split your TargetMappingValue using STRING_SPLIT() with ROW_NUMER() in a sub-query. (NOTE: We aren't guaranteed order using string_split() with ROW_NUMBER here, but will work for this situation. Example below using OPENJSON if we need to insure accurate order.)
Then you can then use that ROW_NUMBER() as the column indicator/number in a CONCAT().
Then bring it all back together using STRING_AGG()
Have a look at this working example:
DECLARE #TableMapping TABLE
(
[GenericMappingKey] [NVARCHAR](256) NULL
, [GenericMappingValue] [NVARCHAR](256) NULL
, [TargetMappingKey] [NVARCHAR](256) NULL
, [TargetMappingValue] [NVARCHAR](256) NULL
);
INSERT INTO #TableMapping (
[GenericMappingKey]
, [GenericMappingValue]
, [TargetMappingKey]
, [TargetMappingValue]
)
VALUES ( 'Generic'
, 'Col1Source|Col1Target;Col2Source|Col2Target;Col3Source|Col3Target;Col4Source|Col4Target;Col5Source|Col5Target;Col6Source|Col6Target'
, 'Target'
, 'Fruit|Apple;Car|Red;House|Bungalo;Gender|Female;Material|Brick;Solution|IT' );
SELECT [col].[GenericMappingKey]
, STRING_AGG(CONCAT('Col', [col].[ColNumber], 'Source|Col', [col].[ColNumber], 'Target'), ';') AS [GeneratedGenericMappingValue]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue]
FROM (
SELECT *
, ROW_NUMBER() OVER ( ORDER BY (
SELECT 1
)
) AS [ColNumber]
FROM #TableMapping
CROSS APPLY STRING_SPLIT([TargetMappingValue], ';')
) AS [col]
GROUP BY [col].[GenericMappingKey]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue];
Here's an example of what an update would look like assuming your primary key is the GenericMappingKey column:
--This what an update would look like
--Assuming your primary key is the [GenericMappingKey] column
UPDATE [upd]
SET [upd].[GenericMappingValue] = [g].[GeneratedGenericMappingValue]
FROM (
SELECT [col].[GenericMappingKey]
, STRING_AGG(CONCAT('Col', [col].[ColNumber], 'Source|Col', [col].[ColNumber], 'Target'), ';') AS [GeneratedGenericMappingValue]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue]
FROM (
SELECT *
, ROW_NUMBER() OVER ( ORDER BY (
SELECT 1
)
) AS [ColNumber]
FROM #TableMapping
CROSS APPLY [STRING_SPLIT]([TargetMappingValue], ';')
) AS [col]
GROUP BY [col].[GenericMappingKey]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue]
) AS [g]
INNER JOIN #TableMapping [upd]
ON [upd].[GenericMappingKey] = [g].[GenericMappingKey];
Shnugo brings up a great point in the comments in that we are not guarantee sort order with string_split() and using row number. In this particular situation it wouldn't matter as the output mappings in generic. But what if you needed to used elements from your "TargetMappingValue" column in the final "GenericMappingValue", then you would need to make sure sort order was accurate.
Here's an example showing how to use OPENJSON() and it's "key" which would guarantee that order using Shnugo example:
SELECT [col].[GenericMappingKey]
, STRING_AGG(CONCAT('Col', [col].[colNumber], 'Source|Col', [col].[colNumber], 'Target'), ';') AS [GeneratedGenericMappingValue]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue]
FROM (
SELECT [tm].*
, [oj].[Key] + 1 AS [colNumber] --Use the key as our order/column number, adding 1 as it is zero based.
, [oj].[Value] -- and if needed we can bring the split value out.
FROM #TableMapping [tm]
CROSS APPLY OPENJSON('["' + REPLACE([tm].[TargetMappingValue], ';', '","') + '"]') [oj] --Basically turn the column value into JSON string.
) AS [col]
GROUP BY [col].[GenericMappingKey]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue];
if the data is already in the table and you want to break it out into columns, this should work
select
v.value
,left(v.value, charindex('|',v.value) -1) col1
,reverse(left(reverse(v.value), charindex('|',reverse(v.value)) -1)) col2
from String_split(#mapping,';') v
Error given when adding query that runs in SQL developer but not in MS Query. Seems to not like my nested query.
Code I am using:
SELECT ORDER_DATE
,SALES_ORDER_NO
,CUSTOMER_PO_NUMBER
,DELIVER_TO
,STATUS
,ITEM_NUMBER
,DESCRIPTION
,ORD_QTY
,SUM(QUANTITY) AS ON_HAND
,PACKAGE_ID
,PACKAGE_STATUS
,MAX(TRAN_DATE) AS LAST_TRANSACTION
,MIN(DAYS) AS DAYS
FROM (
SELECT TRUNC(SH.ORDER_DATE) AS ORDER_DATE
,SH.SALES_ORDER_NO
,SH.CUSTOMER_PO_NUMBER
,SH.SHIP_CODE AS DELIVER_TO
,SH.STATUS
,SB.ITEM_NUMBER
,IM.DESCRIPTION
,SB.ORD_QTY
,BID.QUANTITY
,SPM.PACKAGE_ID
,CASE
WHEN SPM.SHIPPED = 'Y'
THEN 'SHIPPED'
WHEN SPM.STATUS = 'C'
THEN 'PACKED'
WHEN BID.QUANTITY IS NOT NULL
THEN 'AVAILABLE'
WHEN BID.QUANTITY IS NULL
THEN 'UNAVAILABLE'
END AS PACKAGE_STATUS
,CASE
WHEN SPM.SHIPPED = 'Y'
THEN TRUNC(SPM.BILLING_DATE)
WHEN SPM.STATUS = 'C'
THEN TRUNC(SPM.END_TIME)
WHEN BID.QUANTITY IS NOT NULL
THEN TRUNC(BID.ACTIVATION_TIME)
END AS TRAN_DATE
,CASE
WHEN SPM.SHIPPED = 'Y'
THEN ROUND(SYSDATE - SPM.BILLING_DATE, 0)
WHEN SPM.STATUS = 'C'
THEN ROUND(SYSDATE - SPM.END_TIME, 0)
WHEN BID.QUANTITY IS NOT NULL
THEN ROUND(SYSDATE - BID.ACTIVATION_TIME, 0)
END AS DAYS
FROM SO_HEADER SH
LEFT JOIN SO_BODY SB ON SB.SO_HEADER_TAG = SH.SO_HEADER_TAG
LEFT JOIN SO_PACKAGE_MASTER SPM ON SPM.PACKAGE_ID = SB.PACKAGE_ID
LEFT JOIN ITEM_MASTER IM ON IM.ITEM_NUMBER = SB.ITEM_NUMBER
LEFT JOIN V_BIN_ITEM_DETAIL BID ON BID.ITEM_NUMBER = SB.ITEM_NUMBER
WHERE SH.ORDER_TYPE = 'MSR'
AND (
SB.REASON_CODE IS NULL
OR SB.REASON_CODE NOT LIKE 'CANCEL%'
)
AND (
IM.DESCRIPTION NOT LIKE '%CKV%'
OR IM.DESCRIPTION IS NULL
AND IM.ITEM_NUMBER IS NOT NULL
)
)
WHERE PACKAGE_STATUS <> 'SHIPPED'
GROUP BY ORDER_DATE
,SALES_ORDER_NO
,CUSTOMER_PO_NUMBER
,DELIVER_TO
,STATUS
,ITEM_NUMBER
,DESCRIPTION
,ORD_QTY
,PACKAGE_ID
,PACKAGE_STATUS
ORDER BY (
CASE PACKAGE_STATUS
WHEN 'AVAILABLE'
THEN 1
WHEN 'UNAVAILABLE'
THEN 2
WHEN 'PACKED'
THEN 3
END
)
,LAST_TRANSACTION;
Is there any option I can select that will allow me to run this query?
Hi I am getting an error like this: Operand type clash: date is incompatible with int.
Below is my query which I am running on a SQL Server:
CREATE TABLE val.census_last_month
WITH(
DISTRIBUTION = ROUND_ROBIN
, CLUSTERED COLUMNSTORE INDEX
)
AS
SELECT
dt_mydate AS dt_census,
(SELECT count(DISTINCT encounter_id)
FROM prod.encounter
WHERE encounter_type = 'Inpatient' AND (ts_admit BETWEEN dt_mydate - 30 AND dt_mydate) AND
(ts_discharge IS NULL OR ts_discharge > dt_mydate)) AS census,
(SELECT count(DISTINCT encounter_id)
FROM prod.encounter
WHERE encounter_type = 'Inpatient' AND cast(ts_admit AS DATE) = dt_mydate) AS admits,
(SELECT count(DISTINCT encounter_id)
FROM prod.encounter
WHERE encounter_type = 'Inpatient' AND cast(ts_discharge AS DATE) = dt_mydate) AS discharges
FROM ref.calendar_day
WHERE ref.calendar_day.dt_mydate BETWEEN (cast(getdate() as date) - 30) AND cast(getdate() as date);
You need to use dateadd function. See details here. https://learn.microsoft.com/en-us/sql/t-sql/functions/dateadd-transact-sql?view=sql-server-2017
There are multiple issues with this script, however can you confirm the datatypes starting "ts_" are dates stored as integers in the format yyyyMMdd and datatypes starting "dt_" are DATE?
Based on these assumptions, this is my attempted rewrite:
SELECT dt_mydate AS dt_census,
(
SELECT COUNT( DISTINCT encounter_id )
FROM prod.encounter
WHERE encounter_type = 'Inpatient' AND ( CAST( CAST( ts_admit AS CHAR(8) ) AS DATE ) BETWEEN DATEADD( day, -30, dt_mydate ) AND dt_mydate )
AND ( ts_discharge IS NULL OR CAST( CAST( ts_discharge AS CHAR(8) ) AS DATE ) > dt_mydate)
) AS census,
(
SELECT COUNT( DISTINCT encounter_id )
FROM prod.encounter
WHERE encounter_type = 'Inpatient' AND CAST( CAST( ts_admit AS CHAR(8) ) AS DATE ) = dt_mydate
) AS admits,
(
SELECT COUNT( DISTINCT encounter_id )
FROM prod.encounter
WHERE encounter_type = 'Inpatient'
AND CAST( CAST( ts_discharge AS CHAR(8) ) AS DATE ) = dt_mydate
) AS discharges
FROM ref.calendar_day
WHERE ref.calendar_day.dt_mydate BETWEEN CAST ( DATEADD( day, -30, GETDATE() ) AS DATE ) AND CAST( GETDATE() AS DATE );
If either of my assumptions are incorrect, please let me know and I will update the script.
Let's say I have following string: a=A#abc=Y#sps=Y#
in some field of the table.
I want to query for the a and get A with this query:
select UPPER(REGEXP_SUBSTR(REGEXP_SUBSTR(
'a=Y#abc=Y#sps=Y#' ,
'a\=([^#]+)#?'), '[[:alpha:]]')) from dual;
I get :
a
---------------
N
1 row selected
You may need a single REGEXP_SUBSTR:
SQL> select regexp_substr(s,'(nonExcludableInd=)([^#]*)', 1, 1, '', 2)
2 from (
3 select 'nonExcludableInd=ABCD#includePrstInd=Y#cpeInd=Y#' as s from dual
4 );
REGE
----
ABCD
A solution without regexp could be:
select substr(s, startPosition, instr(s, '#', startPosition ) - startPosition)
from (
select instr(s,'nonExcludableInd=')+17 as startPosition, s
from (
select 'nonExcludableInd=A#includePrstInd=Y#cpeInd=Y#' as s from dual
)
)