A database field named income_source is queried using:
SELECT * FROM table_name WHERE income_source LIKE "salaried%"
This retrieves income_source values with a "salaried" prefix. In iReport, the PrintWhenExpression value for the field is set as:
$F{income_source}.equals("Salaried")? Boolean.TRUE:Boolean.FALSE
Why does the report output differ from the SQL output?
There are a few problems:
The value "salaried%" in the SQL differs from the value of "Salaried" in the expression.
The value "salaried%" uses the % to match all text after the letter d.
There is a bit of redundancy in the PrintWhenExpression.
Try the following expression:
$F{income_source}.startsWith( "salaried" )
Or:
$F{income_source}.trim().toLowerCase().startsWith( "salaried" )
One of those should work. You will also want to ensure Blank when null is checked. Otherwise, the expression becomes:
$F{income_source} == null ? Boolean.FALSE :
$F{income_source}.trim().toLowerCase().startsWith( "salaried" )
Related
I have field that has up to 9 comma separated values each of which have a string value and a numeric value separated by colon. After parsing them all some of the values between 0 and 1 are being set to an integer rather than a numeric as cast. The problem is obviously related to data type but I am unsure what is causing it or how to fix it. The problem only exists in the case statement, the split_part function seems to be working perfect.
Things I have tried:
nvl(split_part(one,':',2),0) = COALESCE types text and integer cannot be matched
nvl(split_part(one,':',2)::numeric,0) => Invalid input syntax for type numeric
numerous other cast/convert variations
(CASE WHEN split_part(one,':',2) = '' THEN 0::numeric ELSE split_part(one,':',2)::numeric END)::numeric => runs but get int value of 0
When using the split_part function outside of case statement it does work correctly. However, I need the result to be zero for null values.
split_part(one,':',2) => 0.02068278096187390979 (expected result)
When running the code above I get zero but expect 0.02068278096187390979
Field "one" has the following value 'xyz: 0.02068278096187390979' before the split_part function.
EXAMPLE:
create table test(one varchar);
insert into test values('XYZ: 0.50000000000000000000')
select
one ,split_part(one,':',2) as correct_value_for_those_that_are_not_null ,
case
when split_part(one,':',2) = '' then null
else split_part(one,':',2)::numeric
end::numeric as this_one_is_the_problem
from test
However, I need the result to be zero for null values.
Your example does not deal with NULL values at all, though. Only addressing the empty string ('').
To replace either with 0 reliably, efficiently and without casting issues:
SELECT part1, CASE WHEN part2 <> '' THEN part2::numeric ELSE numeric '0' END AS part2
FROM (
SELECT split_part(one, ':', 1) AS part1
, split_part(one, ':', 2) AS part2
FROM test
) sub;
See:
Best way to check for "empty or null value"
Also note that all SQL CASE branches must agree on a common data type. There have been minor adjustments in the logic that determines the resulting type in the past, so the version of Postgres may play a role in corner cases. Don't recall the details now.
nvl()is not a Postgres function. You probably meant COALESCE. The manual:
This SQL-standard function provides capabilities similar to NVL and IFNULL, which are used in some other database systems.
original query looks like this :
UPDATE reponse_question_finale t1, reponse_question_finale t2 SET
t1.nb_question_repondu = (9-(ISNULL(t1.valeur_question_4)+ISNULL(t1.valeur_question_6)+ISNULL(t1.valeur_question_7)+ISNULL(t1.valeur_question_9))) WHERE t1.APPLICATION = t2.APPLICATION;
I know you cannot update 2 tables in a single query so i tried this :
UPDATE reponse_question_finale t1
SET nb_question_repondu = (9-(COALESCE(t1.valeur_question_4,'')::int+COALESCE(t1.valeur_question_6,'')::int+COALESCE(t1.valeur_question_7)::int+COALESCE(t1.valeur_question_9,'')::int))
WHERE t1.APPLICATION = t1.APPLICATION;
But this query gaves me an error : invalid input syntax for integer: ""
I saw that the Postgres equivalent to MySQL is COALESCE() so i think i'm on the good way here.
I also know you cannot add varchar to varchar so i tried to cast it to integer to do that. I'm not sure if i casted it correctly with parenthesis at the good place and regarding to error maybe i cannot cast to int with coalesce.
Last thing, i can certainly do a co-related sub-select to update my two tables but i'm a little lost at this point.
The output must be an integer matching the number of questions answered to a backup survey.
Any thoughts?
Thanks.
coalesce() returns the first non-null value from the list supplied. So, if the column value is null the expression COALESCE(t1.valeur_question_4,'') returns an empty string and that's why you get the error.
But it seems you want something completely different: you want check if the column is null (or empty) and then subtract a value if it is to count the number of non-null columns.
To return 1 if a value is not null or 0 if it isn't you can use:
(nullif(valeur_question_4, '') is null)::int
nullif returns null if the first value equals the second. The IS NULL condition returns a boolean (something that MySQL doesn't have) and that can be cast to an integer (where false will be cast to 0 and true to 1)
So the whole expression should be:
nb_question_repondu = 9 - (
(nullif(t1.valeur_question_4,'') is null)::int
+ (nullif(t1.valeur_question_6,'') is null)::int
+ (nullif(t1.valeur_question_7,'') is null)::int
+ (nullif(t1.valeur_question_9,'') is null)::int
)
Another option is to unpivot the columns and do a select on them in a sub-select:
update reponse_question_finale
set nb_question_repondu = (select count(*)
from (
values
(valeur_question_4),
(valeur_question_6),
(valeur_question_7),
(valeur_question_9)
) as t(q)
where nullif(trim(q),'') is not null);
Adding more columns to be considered is quite easy then, as you just need to add a single line to the values() clause
I have a report that for a field called JobNo there are some records that have "null" as the the cell value and some that have an empty string "". there is another field called AccntNo that im also selecting by in the same selection formula.
This is what i have tried without success in the selection formula for crystal reports.
{accnt.accno} = "7015" and
{accnt.jobno} = "" or {accnt.jobno} isnull
any help is apreciated
Selection formula doesn't work as expected, sometimes.
I suppose that this will work
{accnt.accno} = "7015" and
( isnull({accnt.JobNo}) or {accnt.jobno} = "" )
First of all I put parenthesis on 'or' clause.
But, the strangest thing, is that isnull clause must be evaluated before other comparison clauses.
I'm a SSAS newbie and i'm trying to query a cube to retrieve data against aome measure groups order by date. The date range i wish to specify in my query. The query I'm using is this:-
SELECT
{
[Measures].[Measure1],
[Measures].[Measure2],
[Measures].[Measure3]
}
ON COLUMNS,
NON EMPTY{
[Date].[AllMembers]
}
ON ROWS
FROM (SELECT ( STRTOMEMBER('2/23/2013', CONSTRAINED) :
STRTOMEMBER('3/1/2013', CONSTRAINED) ) ON COLUMNS
FROM [MyCube])
However it gives me the following error
Query (10, 16) The restrictions imposed by the CONSTRAINED flag in the STRTOMEMBER function were violated.
I tried removing the constrained keyword and then even strtomember function. But in each cases i got the following errors respectively
Query (10, 16) The STRTOMEMBER function expects a member expression for the 1 argument. A string or numeric expression was used.
and
*Query (10, 14) The : function expects a member expression for the 1 argument. A string or numeric expression was used.
*
I can understand from the last two errors that i need to include the constraint keyword. But can anyone tell me why this query wont execute?
The string that you pass as the member expression must be a fully-qualified member name, or resolve to one. Use the same format as you did in the SELECT.
For example:
STRTOMEMBER('[Date].[2/23/2013]', CONSTRAINED)
Edit: I just noticed the syntax of your range select looks wrong -- you need to use {...}, not (...).
SELECT {
STRTOMEMBER('2/23/2013', CONSTRAINED) :
STRTOMEMBER('3/1/2013', CONSTRAINED) }
Please execute below script.
Extract your date dimension attribute copy it by right clicking and paste it in STRTOMEMBER value.
It will works fine.
SELECT NON EMPTY { [Measures].[Internet Sales Amount] } ON COLUMNS
FROM ( SELECT ( STRTOMEMBER('[Date].[Date].&[20050701]') :
STRTOMEMBER('[Date].[Date].&[20061007]') ) ON COLUMNS
FROM [Adventure Works])
FROM ( SELECT (
STRTOMEMBER(#FromDateCalendarDate, CONSTRAINED) :
STRTOMEMBER(#ToDateCalendarDate, CONSTRAINED) ) ON COLUMNS
I want to filter out the output without rows containing null values or blank columns. I am using SQL Server 2012 there is no option named 'Blank' as in SS2005 where I can filter the rows. I also tried following expression but it gives me error or not showing correct output
=IsNothing(Fields!ABC.Value)!= True
=Fields!ABC.Value = ''
Please suggest the solution.
Pull up the tablix or group properties
Switch to "Filters"
Add a new filter
Set the expression to:
=IsNothing(Fields!YourFieldHere.Value)
Set the type to "Boolean" (see screenshot below) otherwise you'll get a "cannot compare data of types boolean and string" error.
Set the value to false
This works for filtering both rows and groups.
We should use the isNothing method in the Expression, change the Text to Boolean
and then Value will be "True"
for example:
Expression
=IsNothing(Fields!TestA.Value)<>True
(Expression type should be Boolean)
Operator
=
Value
=True
Edit the SQL query, so that it will not return NULL values in the column to group on, but let it return a dummy value; for example: ISNULL(columnA, 'dummy')
In the column group definition add a filter: ColumnA <> 'dummy'.