Report - Format of a Numeric Field - acumatica

Report - Format of a Numeric Field needs to be specified in the Format Property but what if there is no Amount Field format exists in table ! How can I show a calculated amount (Sum or Max) with two decimal places ?? Any Ideas ?

Try with this format in the corresponding field
#,##0.00

Related

how to store double colon values in oracle database table

I have excel which i am trying to import in oracle database table.
Some of the values in excel consist of for example 14:39.5 with double colon. What dataype in oracle database table i should provide to store this value ?
Currently have given varchar datatype and its throwing an error during import as :
Conversion error! Value: "00:12:01.615518000" to data type: "Number". Row ignored! Value is '00:12:01.615518000'. Cannot be converted to a decimal number object. Valid format: 'Unformatted'
You can store it as an INTERVAL DAY(0) TO SECOND(9) data type:
CREATE TABLE table_name (
time INTERVAL DAY(0) TO SECOND(9)
);
Then you can use TO_DSINTERVAL passing your value with '0 ' prepended to the start:
INSERT INTO table_name (time)
VALUES ( TO_DSINTERVAL('0 ' || '00:12:01.615518000') );
db<>fiddle here
If it is part of a date/time stamp then you could store it as DATE or TIMESTAMP if you could add the date component. Oracle doesn't have just a TIME data type.
If you can't add a date component to it, then assuming it is a time interval you could convert it to seconds or microseconds (lose the colons) and store it as a NUMBER.
If you want to maintain the exact formatting as shown, your only option is to store it as text using VARCHAR2 or something similar.

Databricks Timestamp format - How to find exact format?

When I tried to display the date column from pyspark dataframe through show() and display(dataframe) ,those format of the data columns are different . Now how do we arrive which date format is being there in dataframe ?
Display : 2018-02-15T06:47:19.000+0000
show : 2018-02-15 06:47:19
Timestamp in dataframe isn't stored as a string - it's stored using internal representation (Long in case of timestamp) that is then converted into text by show or display.

How to convert a string datatype column to date format in hive

Could you please guide with below query.
I need to convert below string column to date.
Input and expected output is provided in screenshot.
Input table: column maturity_date is in string datatype.
I tried below but not working as expected
to_date(from_unixtime(unix_timestamp(maturity_date,'MM/DD/YYYY H:mm:ss'),'yyyy-mm-dd')
Try using lower case letters. Upper case means another thing (day of year (D) and week-year (Y)).
to_date(from_unixtime(unix_timestamp(maturity_date,'MM/dd/yyyy H:mm:ss'),'yyyy-MM-dd')
Correct input format is 'MM/dd/yyyy H:mm:ss', not 'MM/DD/YYYY H:mm:ss'
Correct output format is yyyy-MM-dd, not yyyy-mm-dd. mm is minutes. MM is month
Read more about date format used in Hive here SimpleDateFormat

Lotus Notes data saved as text field convert to date/time

Old form that will be replaced by a New, and add a new view.
Old form has:
Expiration Date = Text field
New form:
Expiration Date = Date/Time field
View contains Exp. Date and Days Left.
Problem is Expiration Date of existing data is saved as a Text field. Days Left column read the Exp. Date as a text instead of Date/Time field.
So the Days Left column's output is:
ERROR: Incorrect data type for operator or #Function
Is there a way to convert all the existing date's field to date/time instead of text so the Days Left column's info will be correct? except to re-input the dates manually because the data are too many.
Just create a formula agent with one line of code:
FIELD ExpirationDate := #TextToTime( ExpirationDate )
And let it run on all documents that contain fields with the wrong type.
Of course you could do some error handling in your code as well as:
_newVal := #TextToTime( ExpirationDate );
FIELD ExpirationDate := #If( #IsError( _newVal ); SomeFallbackValue ; _newVal )

PostgreSQL : cast string to date DD/MM/YYYY

I'm trying to cast a CHARACTER VARYING column to a DATE but I need a date format like this : DD/MM/YYYY. I use the following SQL query :
ALTER TABLE test
ALTER COLUMN date TYPE DATE using to_date(date, 'DD/MM/YYYY');
The result is a date like this : YYYY-MM-DD.
How can I get the DD/MM/YYYYformat ?
Thanks a lot in advance !
Thomas
A DATE column does not have a format. You cannot specify a format for it.
You can use DateStyle to control how PostgreSQL emits dates, but it's global and a bit limited.
Instead, you should use to_char to format the date when you query it, or format it in the client application. Like:
SELECT to_char("date", 'DD/MM/YYYY') FROM mytable;
e.g.
regress=> SELECT to_char(DATE '2014-04-01', 'DD/MM/YYYY');
to_char
------------
01/04/2014
(1 row)
https://www.postgresql.org/docs/8.4/functions-formatting.html
SELECT to_char(date_field, 'DD/MM/YYYY')
FROM table
The documentation says
The output format of the date/time types can be set to one of the four
styles ISO 8601, SQL (Ingres), traditional POSTGRES (Unix date
format), or German. The default is the ISO format.
So this particular format can be controlled with postgres date time output, eg:
t=# select now();
now
-------------------------------
2017-11-29 09:15:25.348342+00
(1 row)
t=# set datestyle to DMY, SQL;
SET
t=# select now();
now
-------------------------------
29/11/2017 09:15:31.28477 UTC
(1 row)
t=# select now()::date;
now
------------
29/11/2017
(1 row)
Mind that as #Craig mentioned in his answer, changing datestyle will also (and in first turn) change the way postgres parses date.
In case you need to convert the returned date of a select statement to a specific format you may use the following:
select to_char(DATE (*date_you_want_to_select*)::date, 'DD/MM/YYYY') as "Formated Date"
Depends on which type you require as output, but here are 2 quick examples based on an intervals:
SELECT (now() - interval '15 DAY')::date AS order_date -> 2021-07-29
SELECT to_char(now() - interval '15 DAY', 'YYYY-MM-DD') -> 2021-07-29
Let's say your date column is order_date:
SELECT (
RIGHT(order_date, 4)
|| '-'
|| SUBSTRING(order_date, 4, 2)
|| '-'
|| LEFT(order_date, 2)
)::DATE
FROM test
OR
SELECT CAST(
RIGHT(order_date, 4)
|| '-'
|| SUBSTRING(order_date, 4, 2)
|| '-'
|| LEFT(order_date, 2)
AS DATE )
FROM test

Resources