I am trying to pivot the following table to make it a single record.
Example :
Table name - ABC
I know this can be done by case statement. But I have around millions of records for multiple item_id's , so I think using case statement would be very inefficient.
I expect the result to be like this -
Any help would be appreciated. Thanks!
Related
I have a column workId in my table which has values like :
W1/2009/12345, G2/2018/2345
Now a user want to get this particular id G2/2018/2345. I am using like operator in my query as below:
select * from u_table as s where s.workId like '%2345%' .
It is giving me both above mentioned workids. I tried following query:
select * from u_table as s where s.workId like '%2345%' and s.workId not like '_2345'
This query also giving me same result.
If anyone please provide me with the correct query. Thanks!
Why not use the existing delimiters to match with your criteria?
select *
from u_table
where concat('/', workId, '/') like concat('%/', '2345', '/%');
Ideally of course your 3 separate values would be 3 separate columns; delimiting multiple values in a single column goes against first-normal form and prevents the optimizer from performing an efficient index seek, forcing a scan of all rows every time, hurting performance and concurrency.
(Opening the following on behalf of a Snowflake client...)
When I try to insert into the table it threw below error:
Numeric value 'abc_0011O00001y31VpQAI' is not recognized
Have check the table DDL and found only 3 columns defined as NUMBER and rest as VARCHAR.
I checked the SELECT query and didnot find any string value in those NUMBER Datatype columns. Also tried searching in all the Varchar columns for the value 'abc_0011O00001y31VpQAI' , I didn't find any
I know one thing Snowflake doesn't always shows correct error. Am I missing anything here? Is there any way to fix it?
Both COL4_MRR and COL5_QUANTITY are NUMBER
INSERT INTO TABLE
(COL1_DATE, COL2_CD, COL3_CUST_NAME, COL3_LOC_NAME,COL4_MRR,COL5_QUANTITY)
SELECT
'2019-10-03' AS COL1_DATE ,
'AE' AS COL2_CD
,CUSTOMER_NAME AS COL3_CUST_NAME
,LOCATION_NAME AS COL3_LOC_NAME
,MRR_BILLED as COL4_MRR
,QTY_BILLED as COL5_QUANTITY
FROM SCHEMA.V_TABLEA
union all
SELECT
'2019-10-03' AS COL1_DATE ,
'BE' AS COL2_CD
,CUSTOMER_NAME AS COL3_CUST_NAME
,LOCATION_NAME AS COL3_LOC_NAME
,NULL as COL4_MRR
,QTY_BILLED as COL5_QUANTITY
FROM SCHEMA.V_TABLEB
I created a table_D same as original TABLE and tried inserting into it , it worked fine . Then Inserted into Original TABLE from table_D , it worked again .
Deleted those rows from original TABLE and reran the job , it worked fine.
There was no issue with data as all was Number only, I even tried with TRY_TO_NUMBER too. It inserted the data without any changes to the code.
...............
Client is currently waiting on a next day run to re-test to determine if this is either a bug or an issue with their data. In the meantime, we are interested to see if anyone else has run into similar challenges and have a viable recommendation. THANK YOU.
The error typically means you are trying to insert non-numeric data (like 'abc_0011O00001y31VpQAI') into a numeric column. It seems like the customer did everything right in testing and TRY_TO_NUMBER() is a great way to verify numeric data.
Do the SELECT queries run fine separately? If so, then I would check whether there might be a potential mismatch in the datatype of the columns and make sure they are in the right order.
I would also check whether or not the header is being skipped in the file (that may be where the 'abc_0011O00001y31VpQAI' is coming from since the customer did not see it in the data).
SELECT queries work fine, I tried creating a new table with same DDL as original and tried loading into that new table, it worked fine. Not sure why it is not loading into the original table
I have a table with two columns hora_entrada and hora_saida and when running this select statement:
select hora_entrada, hora_saida
from Controlo_de_Entrada_saidas
it shows this result:
What I want to do is to combine these two columns into one that if Hora_saida = "Não saiu", it shows the data in hora_entrada but if hora_saída has an actual hour in there, it shows the data in hora_saida instead.
So basically this should be my result:
I don't know if I'm making myself clear, I actually don't even know where to start or if its even possible but any help would be appreciated.
Try using a CASE expression:
SELECT
hora_entrada,
hora_saida,
CASE WHEN hora_saida = 'Não saiu'
THEN hora_entrada ELSE hora_saida END AS new_column
FROM yourTable;
This logic assumes that any value in the hora_saida column which is not Não saiu is a valid timestamp. If not, then we could add additional logic to check for this as well.
If you are open/able to changing your data model, you might want to consider just storing NULL values for the missing data. SQL Server (and most other databases as well) has a built-in function COALESCE, which can be used to replace NULL with a backup value. This would avoid needing to use a lengthy CASE expression as you see above.
I've got a big problem with my VB.Net app :
I have a query who works perfectly in SSMS, returning 16 rows.
But when I try to execute it in my VB.Net app, I've got no rows.
Here's my code who works perfecty for filling all other DataTable of my VB.Net app (more than 200 tables). In this case, variable "a_strRequete" contains the query who works well in SQLServer, returning 16 rows.
Dim v_rrqAdapteur As SqlDataAdapter
v_rrqAdapteur = New SqlDataAdapter(a_strRequete, m_cnxSQL)
v_rrqAdapteur.SelectCommand.CommandTimeout = 900
v_rrqAdapteur.SelectCommand.CommandType = CommandType.Text
o_rrqTable = New DataTable
v_rrqAdapteur.Fill(o_rrqTable)
v_rrqAdapteur.Dispose()
But when I execute this in debug, the line "v_rrqAdapteur.Fill(o_rrqTable)" is executed without any errors, but give me no row. Its driving me crazy because there's no logic in this behaviour : if a query returns rows in SSMS, it must also return the same number of rows when called from VB.Net.
The only query who have this problem is using "pivot" instruction in SQLServer code. Perhaps the problem's coming from that ?
Here's the subquery who contains the pivot in my query :
select id_pk, id_fk, [1.00], [1.25], [1.5]
from (
select
id_pk,
id_fk,
NumericField,
h_occ
from [previous subquery]
) As Hpv
pivot (sum(h_occ) for NumericField in(
[1.00], [1.25], [1.5]
)) As Spv
At the beginning, it was a stored procedure I've integrated to my custom DataSet. But when I see it was returning no rows in my app, I've taken the code of this stored procedure to execute it like a full text query in my code (using the code shown here), and it returns always no rows.
I've got only one server and only one DataBase, who contains all stored procedure, views and functions I need, and only one connection to this DataBase.
These's no CRM used in my code.
Thanks to all who will help.
So, I find a solution et now know from where this problem comes : it comes from the "pivot" instruction.
I've replace the pivot instruction by left join on sum subquery and it now works.
So, seems like the "pivot" instruction cannot be used in query executed from VB.Net app.
This is sad because the "pivot" instruction is very useful et quick to execute (much faster than a left join for every value of the variable to agregate).
Does somebody knows something about the use of "pivot" instruction used in queries executed from VB.Net app ?
I need to query two tables of companies in the first table are the full names of companies, and the second table are also the names but are incomplete. The idea is to find the fields that are similar. I put pictures of the reference and SQL code I'm using.
The result I want is like this
The closest way I found to do so:
SELECT DISTINCT
RTRIM(a.NombreEmpresaBD_A) as NombreReal,
b.EmpresaDB_B as NombreIncompleto
FROM EmpresaDB_A a, EmpresaDB_B b
WHERE a.NombreEmpresaBD_A LIKE 'VoIP%' AND b.EmpresaDB_B LIKE 'VoIP%'
The problem with the above code is that it only returns the record specified in the WHERE and if I put this LIKE '%' it returns the Cartesian product of two tables. The RDBMS is Microsoft SQL Server. I would greatly appreciate if you help me with any proposed solution.
Use the short name plus appended '%' as argument in the LIKE expression:
Edit with info that we deal with SQL Server:
SELECT a.NombreEmpresaBD_A as NombreReal
,b.NombreEmpresaBD_B as NombreIncompleto
FROM EmpresaDB_A a, EmpresaDB_B b
WHERE a.NombreEmpresaBD_A LIKE (b.NombreEmpresaBD_B + '%');
According to your screenshot you had the column name wrong!
String concatenation in T-SQL with + operator.
Above query finds a case where
'Computex S.A' LIKE 'Computex%'
but not:
'Voip Service Mexico' LIKE 'VoipService%'
For that you would have to strip blanks first or use more powerful pattern matching functions.
I have created a demo for you on data.SE.
Look up pattern matching or the LIKE operator in the manual.
I would suggest adding a foreign key between the tables linking the data. Then you can just search for the one table and join the second to get the other results.