I have a full date-time in the column ANFISCAL. I would like to update the column to have just the year.
I used
UPDATE ANIFISCALI SET ANFISCAL=EXTRACT(YEAR FROM ANFISCAL)
but it doesn't work. I'm getting this error:
ORA-00932: inconsistent datatypes: expected DATE got NUMBER
When you extract year from a date you are getting a number datatype.
So you are trying to update a column with date datatype with number.
so you are getting the error.
ORA-00932: inconsistent datatypes: expected DATE got NUMBER.
Related
I get a syntax error in PSQL Control Center on an Actian 13 database when using Date_Part and I'm out of ideas on how to proceed.
There are two fields in the table I am querying 'Date' and 'CreateDate'. I get the same error when I involve either field. I have tried both 'month' and 'year' and have confirmed the field in the database is a Date field.
I have tried the following with no luck.
select date_part('month',CreateDate) from gl_trx3 where CreateDate = '2021-10-13'
I am using this specific date for example because there are records with that date saved.
The error message I get is below.
[LNA][PSQL][SQL Engine]Error in expression: date_part('month',CreateDate)
Anyone know what I am missing?
In the list of Time and Date Functions for Pervasive SQL13 the function date_part does not exist.
Using MONTH(dateexp) returns the month as an integer in the range of 1 to 12.
I have a table defined in snowflake as follows;
CREATE OR REPLACE TABLE DATA_LAKE.CUSTOMER.ACT_PREDICTED_PROBABILITIES(
PREDICTED_PROBABILITY FLOAT,
TIME_PREDICTED TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
As expected default timezone is America/Los Angeles. I am trying to change it to UTC, but only for this column, not at account/session level.Here is the code I wrote;
ALTER TABLE DATA_LAKE.CUSTOMER.ACT_PREDICTED_PROBABILITIES ALTER TIME_PREDICTED SET timezone= 'UTC';
But it is giving an error,
SQL compilation error: syntax error line 1 at position 86 unexpected 'timezone'.
Can I please get help on how to do the change at column level?thanks in advance.
I recommend reviewing this documentation regarding timestamp data types:
https://docs.snowflake.com/en/sql-reference/data-types-datetime.html#timestamp
However, assuming that your TIMESTAMP_TYPE_MAPPING is still the default of TIMESTAMP_NTZ, then you've now got a bunch of data that is set to America/Los Angeles without a timezone offset in the values, and if you're not going to change any of your account timezone settings, then you either need to leave it that way and just change the timezone as you select the data using the CONVERT_TIMEZONE function, or you should change your table definition to a data type that includes a timezone offset. You could also update the column as it is by converting it with the same CONVERT_TIMEZONE function, but then future data would still be inserted using America/Los Angeles timezone.
My recommendation is to use TIMESTAMP_TZ as your column type and modify the current data accordingly.
I am getting data from rest API in JSON forma and have a scenario where a column can have multiple date format. The current date format could be either 2011-02-12T01:00:00 or 2020-04-15T20:44:57.38or could be null or something else also.
I want to parse it through expression and trying to capture the full date string. The following expression seems to be working fine however it is truncating the millisecond part and returning value upto second only.
iif(isnull(%date_fields%),'\N',
to_char(To_date(to_char(%date_fields%),'MM/DD/YYYY HH24:MI:SS'),'YYYY-MM-DD HH24:MI:SS'))
But when I tried it with millisecond usinf below expression:
iif(isnull(%date_fields%),'\N',
to_char(To_date(to_char(%date_fields%),'MM/DD/YYYY HH24:MI:SS.MS'),'YYYY-MM-DD HH24:MI:SS.MS'))
It is throwing error:
TT_11132 Transformation [Expression3] had an error evaluating output column [JobStartDate_out].
Error message is [<<Expression Error>> [TO_DATE]: invalid string for converting to Date
... t:TO_DATE(u:TO_CHAR(t:<02/12/2011 01:00:00>,u:'MM/DD/YYYY HH24:MI:SS'),u:'MM/DD/YYYY HH24:MI:SS.MS')].
I searched few option using below but getting parsing error.
DECODE (TRUE,
iff(isnull(%date_milli%),
'\N',
is_date(To_date(to_char(%date_milli%),'MM/DD/YYYY HH24:MI:SS'),'YYYY-MM-DD HH24:MI:SS'),
is_date(To_date(to_char(%date_milli%),'MM/DD/YYYY HH24:MI:SS.MS'),'YYYY-MM-DD HH24:MI:SS.MS'),
ERROR('NOT A VALID DATE')))
What could be the possible resolution to handle the multiple date format in Informatica? Here JSON date format is string and I am mapping it to date/time type and using Output Marco Fields to combine multiple similar column together.
Why dont you check both options - with and without milliseconds?
You can use below iif condition. Also i think your expression has some issues.
I assumed date_milli is a character type. If its a date, then you can change below expressions accordingly.
iff(isnull(%date_milli%),null,
iif( is_date(to_char(%date_milli%),'MM/DD/YYYY HH24:MI:SS'), to_date(to_char(%date_milli%),'MM/DD/YYYY HH24:MI:SS'),
iif( is_date(to_char(%date_milli%),'MM/DD/YYYY HH24:MI:SS.MS'), to_date(to_char(%date_milli%),'MM/DD/YYYY HH24:MI:SS.MS')
))
)
So Im pretty new to this stuff but working through a few issues. What I am trying to do is pull source files from a Flat File Source but the dates in all my source files are formatted to YYYYMMDD so I have inserted a Derived Column task and created an expression to format all the columns with dates YYYYMMDD to YYYY-MM-DD and that looks like this:
LEFT(ISSUE_DT,4) + "-" + SUBSTRING(ISSUE_DT,5,2) + "-" + RIGHT(ISSUE_DT,2)
All is good with that except it's in the data type of DT_WSTR so I dropped in a Columns Conversion task to convert DT_WSTR to DT_DATE but I keep getting the following error:
[Columns Conversion [1]] Error: Data conversion failed while converting
column "ISSUE_DT Formatted" (258) to column "Copy of ISSUE_DT Formatted"
(16). The conversion returned status value 2 and status text "The value
could not be converted because of a potential loss of data.".
I have tried opening the advanced editor and navigated to the Data Conversion Output Columns and tried changing the DataType under Data Type Properties to DT_DATE but still the same error..
What am I missing or doing wrong??
Data Flow
Formatted Dates
Column Conversion
Column Conversion Advanced Editor
You have some dates that are not in the format that your SSIS package is expecting. Perhaps single-digit months or days do not have a leading 0. That scenario would definitely cause this specific error.
Take today for example, if single-digit months or days did not have leading zeroes, you have 2018918 instead of 20180918. Without seeing the data, I can't guarantee that this is the exact issue, but it is something like this. The error is occurring when converting the string to the date. So continuing with the example above, after your Derived Column ISSUED_DT formatted would have a value of '2018-91-18' which of course is not a valid date and causes the error.
I have a text file and it contains one column as "NPA_DATE", in which few rows contain date as "00-00-000".
I am unable to load data where date is in "00-00-0000" format. I am getting the error as "Record 1: Rejected - Error on table MIS_PNPA, column NPA_DATE. ORA-01847: day of month must be between 1 and last day of month". However I want to load the data with NPA_DATE as "00-00-0000" along with other data. All other rows are getting uploaded in database. I use toad for oracle 9.0.1.8
You should add the SQLPlus tag to your original post as this is really a SQLPlus question.
Anyway alter your control file to this to set the date to NULL if it comes in as '00-00-0000' in the data file:
...
npa_date date "DD-MM-YYYY" NULLIF (npa_date="00-00-0000")
...