I am using a .CSV file and I am using SSIS 2008.
Source: .CSV
Destination: Database
SSIS see all the columns in my .CSV as a string.
But I need to push 1 column into a database column of type INT.
Nothing want to work though, I have placed a DataConversion in my SSIS package between the source and the destination and none of the Data Type's of integer wants to work.
Error message:
The conversion returned status value 2 and status text "The value
could not be converted because of a potential loss of data."
Any input on whats going on here? It does not even want to work using the Wizard.
Edit: Sample data as requested------------------------------------------------------------------------
Name|ID
Mike|1266
John|NULL
ok... your issue is the fact that you have the physical value "NULL" in your CSV. these should be left blank. By having "NULL" there, it is trying to convert the string "NULL" to an int which it cannot do.
Just make sure all "NULL" values are blank (zero length string).
that should sort you out.
Related
Error for written code Current model imports certain parameters from an excel file. Hoping to allow users to override the existing values in the database through an editbox. However, I'm faced with the error (shown in attached image). The imported data is column type is in integer type, while the set function requires input of double type. I've tried placing (double) db_parameters.duration_sec and it fails too. Is there any way to replace an imported data to the data type that is required? Will not want to manually change the data type under the database fields as I may need to re-import the excel sheet from time to time which will auto reset the columns back to integer type. Thanks!
Your query should look like this:
update(db_parameters)
.where(db_parameters.tasking.eq("Receive Lot"))
.set(db_parameters.duration_sec, (int)v_ReceiveLot)
.execute();
the (int) has to be on the paremeter not on the column.
I have the follow situation:
A PostgreSQL database with a table that contains a date type column called date.
A string from a delimited .txt file outputting: 20170101.
I want to insert the string into the date type column.
So far i have tried the following with mixed results/errors:
row1.YYYYMMDD
Detail Message: Type mismatch: cannot convert from String to Date
Explanation: This one is fairly obvious.
TalendDate.parseDate("yyyyMMdd",row1.YYYYMMDD)
Batch entry 0 INSERT INTO "data" ("location_id","date","avg_winddirection","avg_windspeed","avg_temperature","min_temperature","max_temperature","total_hours_sun","avg_precipitation") VALUES (209,2017-01-01 00:00:00.000000 +01:00:00,207,7.7,NULL,NULL,NULL,NULL,NULL) was aborted. Call getNextException to see the cause.
can see the string parsed into "2017-01-01 00:00:00.000000 +01:00:00".
When I try to execute the query directly i get a "SQL Error: 42601: ERROR: Syntax error at "00" position 194"
Other observations/attempts:
The funny thing is if I use '20170101' as a string in the query it works, see below.
INSERT INTO "data" ("location_id","date","avg_winddirection","avg_windspeed","avg_temperature","min_temperature","max_temperature","total_hours_sun","avg_precipitation") VALUES (209,'20170101',207,7.7,NULL,NULL,NULL,NULL,NULL)
I've also tried to change the schema of the database date column to string. It produces the following:
Batch entry 0 INSERT INTO "data" ("location_id","date","avg_winddirection","avg_windspeed","avg_temperature","min_temperature","max_temperature","total_hours_sun","avg_precipitation") VALUES (209,20170101,207,7.7,NULL,NULL,NULL,NULL,NULL) was aborted. Call getNextException to see the cause.
This query also doesn't work directly because the date isn't between single quotes.
What am i missing or not doing?
(I've started learning to use Talend 2-3 days ago)
EDIT//
Screenshots of my Job and tMap
http://imgur.com/a/kSFd0
EDIT//It doesnt appear to be a date formatting problem but a Talend to PostgreSQL connection problem
EDIT//
FIXED: It was a stupid easy problem/solution ofcourse. THe database name and schema name fields were empty... so it basically didnt know where to connect
You don't have to do anything to insert a string like 20170101 into a date column. PostgreSQL will handle it for you it's just ISO 8601's date format.
CREATE TABLE foo ( x date );
INSERT INTO foo (x) VALUES ( '20170101' );
This is just a talend problem, if anything.
[..] (209,2017-01-01 00:00:00.000000 +01:00:00,207,7.7,NULL,NULL,NULL,NULL,NULL)[..]
If Talend doesn't know by itself that passing timestamp into query requires it to be single quoted, then if possible - you need to do it.
FIXED: It was a stupid easy problem/solution ofcourse. THe database name and schema name fields were empty... so it basically didnt know where to connect thats why i got the BATCH 0 error and when i went deeper while debugging i found it couldnt find the table, stating the relation didnt exist.
Try like this,
The data in input file is: 20170101(in String format)
then set the tMap like,
The output is as follows:
I am producing a comma-separated file in S3 that needs to be copied to a staging table in a redshift database using the postgres COPY command.
It has one boolean field. With every sensible way I can think of to represent the boolean value in the file, redshift copy complains, usually with "Unknown boolean format".
I'm going to give up and change the staging table field to a smallint so that I can proceed with the copy and translate the value on the load from staging to the final redshift table, but I'm curious if anyone knows the correct incantation.
A zero or one works just fine for us.
Check your loads carefully, it may well be another issue that's 'pushing' invalid data into your boolean column.
For instance, we had all kinds of crazy characters embedded in our data that would cause errors like that. I eventually settled on using the US character for the record separator.
Check to make sure you're excluding the headers during the COPY command.
I ran into the same problem, but adding the ignoreheader 1 option (ignores 1 header line during import) solved the issue.
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.
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.