I my web application I am using I-REPORT designer for designing report.
For the data used in report,I have written a query that fetch two column values from different table.Here data type of column data is real.In ireport corresponding data type is Float.
Here,if one of the data have a value,other have a no value or empty.So I have to display a value that is not null or empty using text field,when the report is generated.So I have implemented condition in text field
( $F{permit_quantity}==null ?$F{fst_insp_qpqlml_quantity} : $F{permit_quantity} )
Here the fields $F{permit_quantity}, $F{fst_insp_qpqlml_quantity} corresponding to two column values returned by query.
But the above condition is not working when $F{permit_quantity} is empty or null.
I am using postgresql database
You can try to use .equals() Method if the condition itself is not working.
$F{permit_quantity}.equals(null) ? $F{fst_insp_qpqlml_quantity} : $F{permit_quantity}
There could be various other reasons why your code doesn´t work but I can´t tell from your snippet.
$F{permit_quantity}.toString() == null ? $F{fst_insp_qpqlml_quantity} :
$F{permit_quantity}
This solves your problem.
Related
I am currently using Azure Datafactory in that I am creating a Derived column and since the field will always will be blank, so I want the value to be NULL
currently Derived Column I am doing this for adding the expression e.g. toString("null") and toString(null()) but this is appearing as string. I only want null to appear without quotes in Json document
I have reproduced the above and got below results.
I tried to give null() to a column and it gave the error like below.
So, in ADF Dataflow, there should be any wrap over null() with the functions like toInteger() or toString()
When I give toString(null()) when id is 4 in derived column of dataflow and the sink is a JSON, it gave me the below output.
You can see the row with id==4 skipped the null valued key in JSON. If you give toString(null()) same key in every row will be skipped.
You can go through this link by #ShaikMaheer-MSFT to understand more about this.
AFAIK, The workaround for this can be to store the null as 'null' string to get that key in JSON like this and later use this as per your requirement.
I'm trying to ignore condition when the input is null. There are already a lot of threads on stackoverflow dealing with this situation but I've not been able to find one with a List input variable.
The mentionned solution does not work as IN null raises an error. That's why I added a COALESCE :
:toto type : List<Integer>
SELECT *
FROM test_table
WHERE (:toto is null OR year IN (COALESCE(:toto, (1, 2))))
Problem is that COALESCE itself returns an error :
COALESCE types bytea and record cannot be matched
Strangest thing is that this query is working with a null input if I'm making a raw query directly onto the database. I'm suspecting JPA to don't give a real null value to :toto.
Any solution leading to make index working and providing the correct behavior would be ok.
an absolute newbie here trying out Nifi and postgresql on docker compose.
I have a sample CSV file with 4 columns.
I want to split this CSV file into two
based on whether if it contains a row with null value or not.
Grade ,BreedNm ,Gender ,Price
C++ ,beef_cattle ,Female ,10094
C++ ,milk_cow ,Female ,null
null ,beef_cattle ,Male ,12704
B++ ,milk_cow ,Female ,16942
for example, above table should be split into two tables each containing row 1,4 and 2,3
and save each of them into a Postgresql table.
Below is what I have tried so far.
I was trying to
split flowfile into 2 and only save rows without null value on left side and with null values on right side.
Write each of them into a table each named 'valid' and 'invalid'
but I do not know how to split the csv file and save them as a psql table through Nifi.
Can anyone help?
What you could do is use a RouteOnContent with the "Content Must Contain Match" factor, with the match being null. Therefore, anything that matches null would be routed that way, and anything not matching null would be routed a different way. Not sure if it's possible the way you're doing it, but that is 1 possibility. The match could be something like (.*?)null
I used QueryRecord processor with two SQL statements each sorting out the rows with null value and the other without the null value and it worked as intended!
I am using an expression builder in derived column action of Azure data factory. I have an iif statement that that adds objects to a single array of objects based on whether 5 columns are null. Within the iif statement if the object is not null it adds it to the array object and I did not specify an action for when the columns is null. So if the 3 columns have a value then there should be 3 total objects in the array but the issue is for those 2 empty columns they show up as 2 "null" values within the array. I don't want that. I just want to cleanly have only the 3 objects in the array. How can I convert the null values to whitespace or is there a better way to get this done?
I've made a test to conver null value to whitespace successfully.
My source data is a csv file with 6 columns and some columns may contains Null value:
In the dataflow, I'm using Derived Column to convert the Null value.
In the data preview, we can see the Null value was replaced with whitespace/blank
Summary:
So we can use expression iif(isNull(<Column_Name>),'\n',<Column_Name>) to replace the NULL value to a whitespace.
I have this simple flow in Talend DI 6 (simplified for posting on SO):
The last step crashes with a NullPointerException, because missing XML attributes are returned as null.
Is there a way to get empty string values instead of nulls?
For now I'm using a tReplace step to remove nulls as a work-around, but it's tedious and adds to the cost of maintenance by creating one more place where the list of attributes needs to be maintained.
In Talend DI 5.6.2 it is possible to add default data values to the schema. The column in the schema is called "Default". If you expect strings, you can set an empty string, which is set if the column value is null:
Talend schema view with Default column
Works also for other data types. Talend DI 6 should still be able to do this, although the field might be renamed.