Convert XML PATH sample code from SQL Server to DB2 - db2

I'm converting the SQL server to db2..
I need a solution for stuff and for xml path
Ex
Select stuff(select something
from table name
Where condition
For xml path(''),1,1,'')
Pls convert this into db2.

Your code is an old school XML "trick" to convert multiple values to a single string. (Often comma separated but in this case space separated.) Since those days DB2 (and the sql standards) have added a new function called listagg which is designed to solve this exact problem:
Select listagg(something,' ')
from table name
Where condition
db2 docs -
https://www.ibm.com/support/knowledgecenter/en/SSEPEK_12.0.0/sqlref/src/tpc/db2z_bif_listagg.html
https://www.ibm.com/support/knowledgecenter/ssw_ibm_i_74/db2/rbafzcollistagg.htm

Related

Db2 for I: Cpyf *nochk emulation

In the IBM i system there's a way to copy a from a structured file to one without structure using Cpyf *nochk.
How can it be done with sql?
The answer may be "You can't", not if you are using DDL defined tables anyway. The problem is that *NOCHK just dumps data into the file like a flat file. Files defined with CRTPF, whether they have source, or are program defined, don't care about bad data until read time, so they can contain bad data. In fact you can even read bad data out of a file if you use a program definition for that file.
But, an SQL Table (one defined using DDL) cannot contain bad data. No matter how you write it, the database validates the data at write time. Even the *NOCHK option of the CPYF command cannot coerce bad data into an SQL table.
There really isn't an easy way
Closest would be to just build a big character string using CONCAT...
insert into flatfile
select mycharfld1
concat cast(myvchar as char(20))
concat digits(zonedFld3)
from mytable
That works for fixed length, varchar (if casted to char) and zoned decimal...
Packed decimal would be problematic..
I've seen user defined functions that can return the binary character string that make up a packed decimal...but it's very ugly
I question why you think you need to do this.
You can use QSYS2.QCMDEXC stored procedure to execute OS commands.
Example:
call qsys2.qcmdexc ( 'CPYF FROMFILE(QTEMP/FILE1) TOFILE(QTEMP/FILE2) MBROPT(*replace) FMTOPT(*NOCHK)' )

Getting Redshift error 1214 during copy

I have the following table in redshift:
Column | Type
id integer
value varchar(255)
I'm trying to copy in (using the datapipeline's RedshiftCopyActivity), and the data has the line 1,maybe as the entry trying to be added, but I get back the error 1214:Delimiter not found, and the raw_field_data value is maybe. Is there something I'm missing in the copy parameters?
The entire csv is three lines that goes:
1,maybe
2,no
3,yes
You may want to take a look at the similar question Redshift COPY command delimiter not found.
Make sure your RedshiftCopyActivity configuration includes FORMAT AS CSV from https://docs.aws.amazon.com/redshift/latest/dg/copy-parameters-data-format.html#copy-csv.
Be sure your input data has your configured delimiter between every field, even in the case of nulls.
Be sure you do not have any trailing blank lines.
You can run the following SQL (from the linked question) to see more specific details of what row is causing the problem.
SELECT le.starttime,
d.query,
d.line_number,
d.colname,
d.value,
le.raw_line,
le.err_reason
FROM stl_loaderror_detail d,
JOIN stl_load_errors le
ON d.query = le.query
ORDER BY le.starttime DESC;

replacing characters in a CLOB column (db2)

I have a CLOB(2000000) field in a db2 (v10) database, and I would like to run a simple UPDATE query on it to replace each occurances of "foo" to "baaz".
Since the contents of the field is more then 32k, I get the following error:
"{some char data from field}" is too long.. SQLCODE=-433, SQLSTATE=22001
How can I replace the values?
UPDATE:
The query was the following (changed UPDATE into SELECT for easier testing):
SELECT REPLACE(my_clob_column, 'foo', 'baaz') FROM my_table WHERE id = 10726
UPDATE 2
As mustaccio pointed out, REPLACE does not work on CLOB fields (or at least not without doing a cast to VARCHAR on the data entered - which in my case is not possible since the size of the data is more than 32k) - the question is about finding an alternative way to acchive the REPLACE functionallity for CLOB fields.
Thanks,
krisy
Finally, since I have found no way to this by an SQL query, I ended up exporting the table, editing its lob content in Notepad++, and importing the table back again.
Not sure if this applies to your case: There are 2 different REPLACE functions offered by DB2, SYSIBM.REPLACE and SYSFUN.REPLACE. The version of REPLACE in SYSFUN accepts CLOBs and supports values up to 1 MByte. In case your values are longer than you would need to write your own (SQL-based?) function.
BTW: You can check function resolution by executing "values(current path)"

SSIS Convert Between Unicode and Non-Unicode Error

I have an ssis package where I am using an OLEDB source linking to SQL Server 2005 table. All columns except a date column are NVARCHAR(255). I am using an Excel destination and using a SQL statement to create the sheet in the Excel workbook, the SQL is in the excel connection manager (effectively a create table statement that creates a sheet) and is derived from the mapping of the columns from the DB.
No matter what I have done I keep getting this unicode --> non-unicode conversion error between my source and destination. Tried conversion to string[DT_STR] between S > D, removed it, changed SQL Table VARCHAR to NVARCHAR and still get this flippin error.
Because I am creating the sheet in Excel with a SQL statement I do not see any way to actually pre-define what the data types of the columns will be in the Excel sheet. I imagine it would be a default meta data but I do not know.
So between my SQL table destination and the creation of my Excel sheet with this SSIS sql statement how can I stop this error coming up?
My error is:
Error at Data Flow Task [OLE DB Source [1]]: Column "MyColumn" cannot convert between unicode and non-unicode string data types.
And for all nvarchar columns.
Appreciate any help
Thanks
Andrew
The below Steps worked for me:
right click on source task.
click on "Show Advanced editor".
Go to "Input and Output Properties" tab.
select the output column for which you are getting the error.
Its data type will be "String[DT_STR]".
Change that data type to "Unicode String[DT_WSTR]".
save and close.
Add Data Conversion transformations to convert string columns from non-Unicode (DT_STR) to Unicode (DT_WSTR) strings.
You need to do this for all the string columns...
The missing piece here is Data Conversion object. It should be in between OLE DB Source and Destination object.
First, add a data conversion block into your data flow diagram.
Open the data conversion block and tick the column for which the error is showing. Below change its data type to unicode string(DT_WSTR) or whatever datatype is expected and save.
Go to the destination block. Go to mapping in it and map the newly created element to its corresponding address and save.
Right click your project in the solution explorer.select properties. Select configuration properties and select debugging in it. In this, set the Run64BitRunTime option to false (as excel does not handle the 64 bit application very well).
Instead of adding an earlier suggested Data Conversion you can cast the nvarchar column to a varchar column. This prevents you from having an unnecessary step and has a higher performance then the alternative.
In the select of your SQL statement replace date with CAST(date AS varchar([size])). For some reason this does not yet change the output data type. To do this do the following:
Right click your OLE DB Source step and open the advanced editor.
Go to Input and Output Properties
Select Output Columns
Select your column
Under Data Type Properties change DataType to string [DT_STR]
Change Length to the length you specified in your CAST statement
After doing this your source data will be output as a varchar and your error will disappear.
Source
I have been having the same issue and tried everything written here but it was still giving me the same error.
Turned out to be NULL value in the column which I was trying to convert.
Removing the NULL value solved my issue.
Cheers,
Ahmed
No-one seems to mention this but, converting varchar to nvarchar in the source query also solves the issue.
On the above example I kept losing the values, I think that delaying the Validation will allow the new data types to be saved as part of the meta data.
On the connection Manager for 'Excel Connection Manager' set the Delay Validation to False from the Properties.
Then on the data flow Destination task for Excel set the ValidationExternalMetaData to False, again from the properties.
This will now allow you to right click on the Excel Destination Task and go to Advanced Editor for Excel Destination --> far right tab - Input and Output Properties. In the External Columns folder section you will be able to now change the Data Types and Length values of the problematic columns and this can now be saved.
Good Luck!
I experienced this condition when I had installed Oracle version 12 client 32 bit client connected to an Oracle 12 Server running on windows.
Although both of Oracle-source and SqlServer-destination are NOT Unicode, I kept getting this message, as if the oracle columns were Unicode.
I solved the problem inserting a data conversion box, and
selecting type DT-STR (not unicode) for varchar2 fields and DT-WSTR (unicode) for numeric fields, then I've dropped the 'COPY OF' from the output field name.
Note that I kept getting the error because I had connected the source box arrow with the conversion box BEFORE setting the convertion types. So I had to switch source box and this cleaned all the errors in the destination box.
When creating table in SQL Server make your table columns NVARCHAR instead of VARCHAR.
I think people are missing this. In my case I had 100 character columns to convert between Oracle and MS Sql. All this stuff about Data Conversion and Advanced Editor is incredibly tedious if you have a 100 separate character columns to assign. Plus SSIS being SSIS, it will sometimes reset all your 100 advanced editor changes even if you set VALIDATEEXTERNALMETADATA to false, incredibly obnoxious. I wouldn't mind doing the Data Conversion if there was some value to it but 20 years ago ETL tools used to take oracle character to ms sql characters without fussing. What Bakalolo and Zafer say is the answer if you have a lot of character columns and you can live with nvarchar, just declare all your output ms sql columns (nvarchar) and your data task will automatically assign your oracle fields into ms sql fields with no manual overrides. I have also found that the new Oracle Source (2021) doesn't complain about a unicode conversion to varchar in ms sql. A colleague just told me that the ssis wizard (it may be only in vs 2019+) to assign oracle character to ms sql varchar will do the assignments automatically with no override, but I haven't tried that personally.
2022 update - I think this is just vs 2019 created packages and later. An ado.net task reading a varchar ms sql table going to oledb (and ado.net I think) ms sql varchar will throw the unicode error. If you switch the input task to oledb reading ms sql varchar table you won't have to do the advanced editor overrides for the varchar fields. If you don't want to do advanced editor overrides (who does?) try different tasks and more oledb tasks.
I just encounter same issue, I solve it in my SQL request : using convert directly
CONVERT(NVARCHAR(50),'') AS MyVarName
I need to put an empty (or fix size string) into excel file. Converting force type of MyVarName from DT-STR to DT-WSTR (unicode)
I know this is a very old post but I ran into the same issue and found that I had to manually select the conversion component output alias as the mapping in the excel destination component. Since the names of the OLE DB Source match the excel column names it was mapping it to the OLE DB and not to the Output Alias. Such as SourceID column from the OLE DB component being named Copy of SourceID after conversion. I don't see the original question saying they specifically selected the new alias name just that they mapped to DB columns. #Serge Voloshenko post comes the closest but also does not mention to make sure the mapping happens. To a new SSIS user this might be overlooked.

db2 import csv with null date

I run this
db2 "IMPORT FROM C:\my.csv OF DEL MODIFIED BY COLDEL, LOBSINFILE DATEFORMAT=\"D/MM/YYYY\" SKIPCOUNT 1 REPLACE INTO scratch.table_name"
However some of my rows have a empty date field so I get this error
SQL3191N which begins with """" does not match the user specified DATEFORMAT, TIMEFORMAT, or TIMESTAMPFORMAT. The row will be rejected.
My CSV file looks like this
"XX","25/10/1985"
"YY",""
"ZZ","25/10/1985"
I realise if I insert charater instead of a blank string I could use NULL INDICATORS paramater.
However I do not have access to change the CSV file. Is there a way to ignore import a blank string as a null?
This is an error in your input file. DB2 differentiates between a NULL and a zero-length string. If you need to have NULL dates, a NULL would have no quotes at all, like:
"AA",
If you can't change the format of the input file, you have 2 options:
Insert your data into a staging table (changing the DATE column to a char) and then using SQL to populate the ultimate target table
Write a program to parse ("fix") the input file and then import the resulting fixed data. You can often do this without having to write the entire file out to disk – your program could write to a named pipe, and the DB2 IMPORT (and LOAD) utility is capable of reading from named pipes.
I'm not aware of anything. Yes, ideally that date field should be null.
Probably the best thing to do would be load the data into a scratch/temp table where that isn't a date column - just leave it as character data (it looks like you're already using a scratch table anyways). It should be trivial after that to use a CASE statement to transform the information into a null date if the value is blank, when doing your INSERT to the real table.