I want to extract the Date part from this timestamp 2022-05-25T061538.576403Z. However, I keep getting invalid timestamp error with both the EXTRACT() and the DATE() functions.
Will appreciate if some insights is available on why is it invalid along with the extract part.
As mentioned by #Jaytiger, The issue can be resolved by using below query to extract the Date part from the Timestamp value 2022-05-25T061538.576403Z.
DATE(LEFT('2022-05-25T061538.576403Z', 10));
Related
Trying to convert string value(2022-07-24T07:04:27.5765591Z) into datetime/timestamp to insert into SQL table in datetime format without losing any value till milliseconds. String which I am providing is actually a datetime and my source is ADLS CSV. I tried below options in data flow.
Using Projection-> Changed the datatype format for specific column into timestamp and format type-yyyy-MM-dd'T'HH:mm:ss.SSS'Z' however getting NULL in output.
Derived column-> Tried below expressions but getting NULL value in output
toTimestamp(DataLakeModified_DateTime,'%Y-%m-%dT%H:%M:%s%z')
toTimestamp(DataLakeModified_DateTime,'yyyy-MM-ddTHH:mm:ss:fffffffK')
toTimestamp(DataLakeModified_DateTime,'yyyy-MM-dd HH:mm:ss.SSS')
I want the same value in output-
2022-07-24T07:04:27.5765591Z (coming as string) to 2022-07-24T07:04:27.5765591Z (in datetime format which will be accepted by SQL database)
I have tried to repro the issue and it is also giving me the same error, i.e., null values for yyyy-MM-dd'T'HH:mm:ss.SSS'Z' timestamp format. The issue is with the string format you are providing in source. The ADF isn’t taking the given string as timestamp and hence giving NULL in return.
But if you tried with some different format, like keeping only 3 digits before Z in last format, it will convert it into timestamp and will not return NULL.
This is what I have tried. I have kept one timestamp as per your given data and other with some modification. Refer below image.
This will return NULL for the first time and datetime for second time.
But the format you are looking for is still missing. With the existing source format, the yyyy-MM-dd'T'HH:mm:ss would work fine. This format also works fine in SQL tables. I have tried and it’s working fine.
Try to use to String instead of timestamp and use this to create your Desired timestamp
toString(DataLakeModified_DateTime, 'yyyy-MM-dd HH:mm:ss:SS')
I am trying to change the format of a timestamp field to a date field in a certain format with AWS Redshift.
I googled a lot and the common "best practice" that I found was to cast the timestamp to a date and then use to_char to bring it into the right format. In the end I want to use the date field in a Qlik Sense dashboard where it is input for a date picker extension that apparently requires the format DD/MM/YYYY to work.
Current date format in the DB:
9/2/2019 6:38:00 AM (which I would describe as M/D/YYYY H:MM:SS ZZ)
Desired output:
DD/MM/YYYY, resulting in the value 02/09/2019
Current status:
to_char(cast(timestamp_field as date), 'DD/MM/YYYY') --> result: 02/09/2019
However, the date picker extension in Qlik Sense still does not work and I guess that's because the output is a string and not a date. Casting the string to a date returns in an error.
cast(to_char(cast(timestamp_field as date), 'DD/MM/YYYY') as date) as date_picker_date
Connector reply error: SQL##f - SqlState: 57014, ErrorCode: 30,
ErrorMsg: [Amazon][Amazon Redshift] (30) Error occurred while trying
to execute a query: [SQLState 57014] ERROR: Error converting text to
date
I am new to Redshift and would have expected to be able to cast to date with a format string as parameter, but apparently that's not a thing. Can someone enlighten me on how to solve this?
You can try with the timestamp at the beginning of the script of the QlikSense.
It will be at the start of the script. in the Main section as shown below:
SET TimestampFormat='M/D/YYYY h:mm:ss[.fff] TT';
here SET is being used to define the time stamp in that application.
You can try changing here to your requirements.
Else 2 options 1 use a stamp which you have already used or create your own extension from the lib
Stamp use can be like this:
Datestamp_Table:
Load *,
Date(Date#(StringDate,'M/D/YY'),'DD/MMM/YY') as Date;
LOAD * INLINE [
StringDate
8/7/97
8/6/97];
Output will be like this:
Stringdate Date
8/7/97 07/Aug/97
8/6/97 06/Aug/97
I m having some issues with converting a regular timestamp in cassandra with Apache Nifi.
My use case is following:
I have a csv file with a date in it looking like this ('2015010109') and I want to put it in cassandra by converting this string ('2015010109') to an proper format: 2015-01-01 09:00 -> yyyy/MM/dd HH:mm (I dont exactly need the minutes, but I guess it is more useful for later usage)
So far I got this propertie in my UpdateAttribute processor when trying to convert this string to a timestamp:
date : ${csvfiledate:toDate("yyyyMMddHH","GMT"):format("yyyy-MM-dd-HH")}
but then there is an error occuring in my PutCassandraQL processor: Unable to coerce '2015-01-01-09' to a formatted date (long).
I tried something along
date : ${csvfiledate:toDate("yyyyMMddHH","GMT"):format("yyyy-MM-dd HH-mmZ")} aswell, but the same error is occuring.
It seems like you need to have a specific timestamp type for cassandra as you can see here:
http://docs.datastax.com/en/archived/cql/3.0/cql/cql_reference/timestamp_type_r.html
But it isnt working so far, maybe you got some tipps.
Thanks in advance.
You've got it backwards..
toDate parameters are used to describe how to parse the date. format function is used to describe how the date output should be. So the expression should be:
${csvfiledate:toDate('yyyy-MM-dd-HH','GMT'):format('yyyyMMddHH')}
I have a date field set with table.date('day'); in knex schema. When I insert it with knex('table_name').insert({ someOtherData, day: '2016-08-14'}) and then use knex.select('day').from('table_name') I get [Date: 2016-08-13T22:00:00.000Z]. It seems as if it saves it as '2016-08-14T00:00:00.000Z' and then subtracts 2 hours to conver it into UTC.
This issue may be because of time zone conversion. Have you tried using timestamp?
table.timestamp('response_deadline')
It will convert date datatype to timestamp with time zone.
the docs on schema building seems vague however try to deliver this date string to a js date constructor, i'm pretty sure it will deliver you the correct date.
it tries to represent every date as the specs recommends, that's why you're seeing the date this way.
Tableau is reading my dates wrong. I have 2 columns, Date and number for each day.
The date format is “yyyymmdd” i.e. (20160617) and per day number is integer. I am fetching this data directly from SQL server and my problem is, tableau is reading my dates wrong.
So I tried DATEPARSE() to convert my date.
My DATEPARSE function is : DATEPARSE(“yyyymmdd”,”Date”) , now after using DATEPARSE function, I get NULL for my dates.
Can anyone please help me why I get NULL for dates, my query returns 30-day data which is divided into per day count.
Sample after running the query on SQL
Date Per day number
20160617 215674
Tableau does not accept this date format and I applied DateParse(), which I guess is returning string since my date is null. I would ideally like to get the correct date so I can apply a trend line on my data.
Thanks in advance.
Cheers!
You aren't using DateParse() correctly. The second parameter, which you have as "Date", should be the name of the field you want parsed. So for example, if you store 20160617 in a field called my_date_as_integer, your function should be DateParse("yyyymmdd", [my_date_as_integer])