As the title. When I export data to a sequential file in ibm datastage, I get the warnings:
When validating export schema: At field "ALLOCATERATE": "null_field" length (4) must match field's fixed width (7)
where I set "null_field_value" as "null" in the "Format" tab
where "ALLOCATERATE" is a decimal field (there are other fields of data types such as date\time\timestamp that got this warning.
Although I set the "pad char" option in "type defaults" as help document says, but still get the warnings.
It seems that the job treat the "decimal\timestamp" fields as fixed length char fields.
Could there be a way to eliminate those warnings? Thanks for any help.
Jason,
The null field value should be "" and not "null" as it will output the word "null" (which is 4 characters long, and where you're seeing your error), or even better, just don't set it.
Null field value. Specifies the value written to null field if the source is set to null
Which in my understanding will overwrite the null with the contents of the specified value.
As for the padding, from the same link above
Record length. Select Fixed where fixed length fields are being written.
This is an additional property that you need to configure (it's in your screenshot)
I hope this points you in the right direction.
Dan
Related
I'm struggling with Crystal Reports suppressing rows whenever I add a field that some rows may not have data in.
I've been able to fix some of the rows and make them show by using the formula:
if not isnull({field}) then {field} else "Arbitrary string to make row display"
This at least fills in the absent field with something and displays the row.
Do I really have to try and identify every field that may have incomplete data for some rows? Or is there some global method to make all rows show no matter what?
Something like: If isnull(ANYTHING) then " "?
you can do right click on the field, then under suppress, click the formula icon beside it and you can input there the conditions.
You can try the following in report options:
Convert Database NULL values to Default
Convert Other NULL values to Default.
This is hidden in File > Report Options. I have used Convert Database NULL Values to default to show 0's instead of blanks for null valued summaries
Could you please explain the significance of nullable check box in various places?
In tmap, under middle section with heading Var
In tmap under Input/output sections at the bottom panel
In any other component where we define the schema
Also, could you please explain the significance of KEY field while defining any schema.
In tmap, under middle section with heading Var - it will accespt the null as value. if you are processing values which may result as null then check for nullable.
In tmap under Input/output sections at the bottom panel
it has the same meaning column can accept or recieved null values.
In any other component where we define the schema
very where it has the same meaning if you want to define a column with null acceptance then check this property other wise Talend will not accept null values and may raise the error.
Also, could you please explain the significance of KEY field while defining any schema.
Key filed denotes a Key column for database or any processing column, but most of time key property treated as KEY column(primary key..) for most of the databases.
I'm having a bit of trouble with searching with search operators in validated fields in Filemaker Pro 13.
I have a field which has validation "numeric only", since it stores a numerical value. However, when I enter find mode I cannot use one of the pre-defined search operators such as * for "zero or more characters" or even # for "any one digit".
When I enter one of these operators in the field and try to search, Filemaker gives me a validation error and says that the field contents has to be numerical.
Is there a way to get around this problem?
That's irritating.
I just:
Created a test file
Created a Number field
Added the Strict data type option and set it to Numeric Only
Made sure validation was set to Only during data entry which should not engage in find mode
Created a couple of records and inserted values into the field
Performed my find for * and got the same error message
This feels like a bug in FileMaker to me. I don't remember running into it in previous versions, but it could be there too. I would not consider Find Mode a data entry mode so you'd think the validation rules wouldn't apply.
All that said, you could use a calc field as a work around.
Crate a calculation field in the same table and name it yourfieldnameSEARCH, e.g. idSEARCH. The calculation for the field can just be the field you actually want to search on:
e.g. `mytable::idSEARCH = mytable::id`
You can set the index to All for the calculation field so that the searching is faster. Since the calculation field is in the same table as it's reference, modifications to the original field will be reflected in the calculation automatically.
Now you can search in the SEARCH specific field without the validation being applied.
As far as the "bug" itself, you can submit it to FileMaker and maybe they'll take care of it or at least explain why it's happening.
This is true going back at least as far as FileMaker 11.
The problem is that * and # are placeholders for characters in strings. The numerical operators, <, >, <=, >=, ... work just fine even with a strict data type of numeric only. = will also work to find blank values.
For a true numeric field, however, these should cover most of your searches:
To find blank values, search for = in the numeric field.
To find all non-blank values, search for = in the numeric field and click omit on the record.
To find values between x and y use x...y in the search field.
Replicating the # operator is trickier. You could possibly replicate it with a new field that calculates the mod of a number or converts the numeric field to a string and get's the nth character.
Apparently, this form of validation is intended for Text fields.
Note that most find operators do work, despite the validation: =, ==, !, ?, ... and all the comparison operators < > ≤ ≥.
If there is a bug here, it concerns the # operator, which Filemaker expressly designates to find "one or more digits in a number field".
Two possible workarounds:
Change the field's type to Text (note that this may affect the way the field is sorted);
Replace the strict numeric type validation with validation by calculation.
I have a problem here that even after hours of searching with my friend Google, I'm still getting no results...
My Terms & Conditions are larger then the max character set of the Magento section for it.
Then I would like to know if one of you could please help me to locate the file and the line to edit to make the max character set biger and letting me put all my Terms & Condition without problem.
Thank you very much in advance for your time.
sincerely,
Nicolas
The T&C content is stored in the checkout_agreement table in a field named content
This field is assigned the datatype text and has a maximum length of around 64kB with actual content depending on how many bytes your UTF-8 encoded text uses.
You would need to change the datatype to longtext which has a maximum length of 16MB.
Testing this will be necessary to make sure no validation limits have been imposed on the entry template.
You can modify the table structure of table checkout_agreement by changing the data type of content field from TEXT to LONGTEXT to allow for more characters.
I am using Oracle's SQL*Loader to import flat files into the database. Is there an explicit NULL string in SQL*Loader, like \N in PostgreSQL, that can be used instead of an empty string? Or is there an option in the control file that can be used to set a NULL string, e.g. NULL AS ''?
Like Alex said, empty fields are treated as NULL in Oracle. You may need to set default values or conditions on your table itself if you want to differentiate somehow. You might be able to find a solution to your issue from here using the WHEN, NULLIF, and DEFAULTIF Clauses.
Ex from the docs:
fixed_field CHAR(2) NULLIF fixed_field=BLANKS
But ultimately, I don't know how you differentiate between empty fields and null fields in a flat fixed-width file. Either the data is present or its position filled with white space. Unless you have specific rules that you're going to apply to make that determination, I don't see a difference between the two.