I am trying to replicate a view from netezza to Hive and getting error while encountering to statement having double colon(::), used for data type casting I think.
Below is the sample statement:
CASE WHEN (DB.VW.ABC ISNULL) THEN ''::"NVARCHAR" ELSE DB.VW.ABC END AS ABC_FIXED
Related
I have the following sql statement:
SELECT SUM(temp.[ENDING TRUST BALANCE] * temp.[BORROWER FICO])
FROM (SELECT *
FROM [tape$A1:BR535]
WHERE ISNUMERIC([BORROWER FICO])) temp
WHERE temp.[BORROWER FICO] > 0
The nested sql statement should return a table that is all numeric. In fact, the * operation works however, when I add the WHERE clause I get the data type error. Any ideas?
UPDATE: got this working btw. for some reason blank string escaped this logic ie considered numbers. i just cleared those before running this and other scripts.
select truncate(12.455555,2)
I was trying to truncate the decimal value in the database from databricks but it was giving me the following error. it gave the same error when I tried executing a simple statement for trimming the decimal places given above.
Error-
Error in SQL statement: AnalysisException: Undefined function: 'truncate'. This function is neither a registered temporary function nor a permanent function registered in the database 'default'.; line 1 pos 7
Can anyone tell me how we can truncate the decimal places without rounding off the decimals?
You can use substring.
spark.sql("select substring(12.455555,0, instr(12.455555,'.')+2) as out").show()
+-----+
| out|
+-----+
|12.45|
+-----+
If you want to do that for printing the data, then you can use format_number function (doc), like this:
SELECT format_number(12332.123456, '#.###');
I'm using try_cast in snowflake to convert any long values in sql to NULL.
Here is my code:
When I try running the above code, I'm getting the error as below:
I'm flattening a JSON array and using try_cast to make any large values to NULL because I was getting an error Failed to cast variant value {numberLong: -8301085358432}
SELECT try_cast(item.value:price) as item_price,
try_cast(item.value:total_price_bill) as items_total_price
FROM table, LATERAL FLATTEN(input => products) item
Error:
SQL compilation error error at line 1 at position ')'.
I don't understand where I'm doing wrong
you are using wrong syntax for try_cast. according to snowflake documentations the syntax is :
TRY_CAST( <source_string_expr> AS <target_data_type> )
and also note:
Only works for string expressions.
target_data_type must be one of the following:
VARCHAR (or any of its synonyms)
NUMBER (or any of its synonyms)
DOUBLE
BOOLEAN
DATE
TIME
TIMESTAMP, TIMESTAMP_LTZ, TIMESTAMP_NTZ, or TIMESTAMP_TZ
so for example you have to have something like this if item.value:price is string:
select try_cast(item.value:price as NUMBER) as item_price,
....
CASE
WHEN code IN ('FJS354', 'JDF334')
THEN 'Lower_form'
ELSE 0
END AS format
This returns an error in Redshift
invalid input syntax for integer: "Lower_form"
I know if I change 'Lower_form' to an integer it will work however I want this column to be a string. Is there a way to do this?
I want this column to be a string.
All branches of a case expression must return the same datatype. You are giving two literal values whose datatype is not the same (string vs integer): the database makes the decision to turn them both to integers - which is not what you want.
Rremove the ambiguity by being explicit about the datatype you want to return. That is, make this literal 0 a string:
CASE WHEN code in ('FJS354','JDF334')
THEN 'Lower_form'
ELSE '0'
END as format
I am using in insert statement to convert BDE table (source) to a Firebird table (destination) using IB Datapump. So the INSERT statement is fed by source table values via parameters. One of the source field parameters is alphanum (SOURCECHAR10 char(10), holds mostly integers and needs to be converted to integer in the (integer type) destination column NEWINTFLD. If SOURCECHAR10 is not numeric, I want to assign 0 to NEWINTFLD.
I use IIF and SIMILAR to to test whether the string is numeric, and assign 0 if not numeric as follows:
INSERT INTO "DEST_TABLE" (......, "NEWINTFLD",.....)
VALUES(..., IIF( :"SOURCECHAR10" SIMILAR TO '[[:DIGIT:]]*', :"SOURCECHAR10", 0),..)
For every non numeric string however, I still get conversion errors (DSQL error code = -303).
I tested with only constants in the IIF result fields like SOURCECHAR10" SIMILAR TO '[[:DIGIT:]]*', 1, 0) and that works fine so somehow the :SOURCECHAR10 in the true result field of the IIF generates the error.
Any ideas how to get around this?
When your query is executed, the parser will notice that second use of :"SOURCECHAR10" is used in a place where an integer is expected. Therefor it will always convert the contents of :SOURCECHAR10 into an integer for that position, even though it is not used if the string is non-integer.
In reality Firebird does not use :"SOURCECHAR10" as parameters, but your connection library will convert it to two separate parameter placeholders ? and the type of the second placeholder will be INTEGER. So the conversion happens before the actual query is executed.
The solution is probably (I didn't test it, might contain syntax errors) to use something like (NOTE: see second example for correct solution):
CASE
WHEN :"SOURCECHAR10" SIMILAR TO '[[:DIGIT:]]*'
THEN CAST(:"SOURCECHAR10" AS INTEGER)
ELSE 0
END
This doesn't work as this is interpreted as a cast of the parameter itself, see CAST() item 'Casting input fields'
If this does not work, you could also attempt to add an explicit cast to VARCHAR around :"SOURCECHAR10" to make sure the parameter is correctly identified as being VARCHAR:
CASE
WHEN :"SOURCECHAR10" SIMILAR TO '[[:DIGIT:]]*'
THEN CAST(CAST(:"SOURCECHAR10" AS VARCHAR(10) AS INTEGER)
ELSE 0
END
Here the inner cast is applied to the parameter itself, the outer cast is applied when the CASE expression is evaluated to true