I transfer the data into Tera Data with fastload now in one column 'ENDDATE' There are 2 values stored 'NULL' and Timestamp value like format
YYYY-MM-DDBHH:MI:SS
I want to transfer both values into new table
I want to NULL value replace with something and other Timestamp data to date format like
YYYY-MM-DD
How to transfer both values into table?
Related
I have a table including date column and hour column which is an integer type column varying from 0 to 24. I need to combine these two fields and create an hourly composite datetime field.
However, I was able to create that kind of variable by using || and cast. But I am unable to transform this code to Hive editor syntax. Can you help me with this problem
SQL Code:
CAST(CAST(CAST(DATE_OF_TRANSACTION AS FORMAT 'yyyy-mm-dd') AS VARCHAR(11))||' '||CAST(CAST( BasketHour AS FORMAT '99:') AS VARCHAR(10))||'00:00' AS TIMESTAMP(0)) Date_Time
Thank you very much
For example like this:
cast(concat(DATE_OF_TRANSACTION, ' ', lpad(BasketHour ,2,0),':00:00.0' ) as timestamp)
I have the time as the following 103400 with string type I need to convert it into 10:34:00 in a time format using pyspark only.
suppose that the name of the data frame is u and the name of the column is hhmm_utente
I have a SQLite table:
CREATE TABLE `Readings` ( `ID` TEXT, `Reading` TEXT, `Date` TEXT )
Every Date I have real Readings from different sensors identified by IDs. Is it possible to get a result table with differences between Readings from sensors with the same ID but for different Dates?
Assuming that you are using a proper date format, you can look up the corresponding previous value with a correlated subquery:
SELECT ID,
Date,
Reading - (SELECT Reading
FROM Readings AS R2
WHERE R2.ID = Readings.ID
AND R2.Date < Readings.Date
ORDER BY Date DESC
LIMIT 1
) AS Difference
FROM Readings;
I have a data frame with a time column, the format is like dd/mm/yyyy and I want to
convert dd/mm/yyyy to a number mmyyyy and store it in a new column
then create another two new columns for mm and yyyy separately and create a new data frame with my original data frame and these 2 columns
How can I do it? Thanks!
If the time column is not character you can use:
format(timecolumn,"%m%Y")
format(timecolumn,"%m")
format(timecolumn,"%Y")
If it is character:
paste0(substr(timecolumn,4,5),substr(timecolumn,7,10))
substr(timecolumn,4,5)
substr(timecolumn,7,10)
I have two columns in my table one is having a date in yyyymm format and other column has some integer values between 1 to 50. How can I add these two fields and get a date value?
For example: 201402 + 12 should give me 201502 as an answer!
I assume you don't really have a DATE column but a varchar column that stores a month specification in the format yyyymm.
If you want to make use of Oracle's date arithmetic you first need to convert this "month" into a real date.
Something like this:
select to_char(add_months(to_date('201402', 'yyyymm'), 12), 'yyyymm')
from dual;
You will need to replace the character literal '201402' with a reference to your column.