Convert hh:mm to ss on netezza (SQL) - sql

I have a char datatype that contains data in hh:mm format and i would like to convert into seconds in netezza DB.
For eg: 1:23 to seconds?
Thanks

First you need to convert your time to the right datatype and then extract EPOCH to get the seconds.
select
extract ( EPOCH from to_timestamp(to_char(current_date,'YYYY-MM-DD')
||' '||sample.dt_str,'YYYY-MM-DD MI:SS')-current_date)
from
(
select '01:23' as dt_str
) sample
Also if you have the SQL Functions Toolkit installed you could simply run this.
select sql_functions.admin.second ('01:01:23')

select '1:23' aTime, position(':' in aTime) pos,
cast(substring(aTime from 1 for (pos-1)) as int)*3600 HR,
cast(substring(aTime from (pos+1)) as int) * 60 mins,
hr+mins secs

Related

Finding Average Time Length in SQL

I am a beginner in SQL and I am using Big Query. I am looking to find the average length of time.
My columns are in the image.
Can someone please tell me how to write a query to find the average time for the column ride_length in minutes? The ride_length column is in h:mm format.
You will need something like this:
SELECT AVG(
CAST( SPLIT( ride_length, ':' )[OFFSET(1)] AS NUMERIC )
+ CAST( SPLIT( ride_length, ':' )[OFFSET(0)] AS NUMERIC ) * 60
)
FROM TheTable
SPLIT is used to separate hours from minutes and then each result converted (CAST) to NUMBER.
[I did not test it]
Here is the data verification query (untested as well) to check on format consistency:
SELECT
ride_id,
ride_length
WHERE NOT REGEXP_CONTAINS(ride_length, r'^(\d+\:\d+)$)';

Hive how to get current timestamp in format 2020-04-17T19:17:56.017719Z format

I am using Hive and have an important task at hand, which needs the current timestamp in the format 2020-04-17T19:17:56.017719Z.
Any help around exact solution for this in Hive, would be highly appreciated.
Thanks
with time as (
select reflect('java.util.Date','getTime') as millis
)
select concat( from_unixtime(floor(millis / 1000 ),"yyyy-MM-dd'T'HH:mm:ss"), '.',cast((millis % 1000)as int),'Z')
from time
Result:
2020-04-26T11:12:35.590Z
Or one more method
select concat(from_unixtime(unix_timestamp(split(current_timestamp,'\\.')[0]),"yyyy-MM-dd'T'HH:mm:ss"),'.',split(current_timestamp,'\\.')[1],'Z')
Result:
2020-04-26T11:28:13.433Z
One more method using regexp_replace:
select regexp_replace(current_timestamp,'(.*) (.*)','$1T$2Z')
Result:
2020-04-26T11:50:51.804Z
If you need to get microseconds in Hive, the dirty trick is
with time as (
select reflect('java.util.Date','getTime') as millis, reflect('java.lang.System','nanoTime') as nano
)
select concat( from_unixtime(floor(millis / 1000 ),"yyyy-MM-dd'T'HH:mm:ss"), '.',cast(millis%1000 as int),cast(nano%1000 as int),'Z')
from time
Result:
2020-04-26T21:53:31.261356Z
But this is not real microsecond-precision.

How to get sum of string data in SQL?

I have a table with column name 'Working_hours', column type is String and data of that column looks like below.
I want to sum of those data.
Is there any way to achieve it or any idea.
thanks in advance
0:00:11
0:00:08
0:00:01
0:00:29
0:01:25
0:00:06
0:00:12
0:00:26
0:00:01
0:01:41
0:00:01
SELECT
convert(char(20),dateadd(second,SUM
(
DATEPART(hh,(convert(datetime,Working_hours,1))) * 3600 +
DATEPART(mi, (convert(datetime,Working_hours,1))) * 60 +
DATEPART(ss,(convert(datetime,Working_hours,1)))),0),108
)
AS Working_hours
FROM tblTime
You can use this Query....In Sql server..
convert this to epoch time.
for mssql
select sum(DATEDIFF(s, '1900-01-01 00:00:00', cast(time_column as datetime))) from table
result is sum in seconds.
that depends a bit on what database you are using
generally you have to convert or cast to time and sum then. Eg.g postgresql:
SELECT SUM(fieldname::time) FROM table
The ::time does the casting to time.
Microsoft sql-server (don't have one at hand right now so take with a grain of salt):
SELECT sum(CONVERT( TIME, fieldname )) FROM table
If you have some other database look up how to cast or convert a string to a time...

how to convert the 24 hr to 12 hr in sql

I have column of 24 hr and i need to change it to 12 hr, Please help .
Start time
174300
035800
023100
The result should be
Start time
05.43 PM
03.58 AM
02.31 AM
Use STUFF function to convert string to Time format
SELECT CONVERT(VARCHAR,CAST(STUFF(STUFF(ColumnName,3,0,':'),6,0,':') AS TIME),100)
Using one of the examples above - the following will work.
You need to split the data into hours/minutes and cast it to time format, than convert it to the relevant type:
declare #data int
set #data = 174300
select convert(VARCHAR(15),cast(cast(left(#data, 2 )as varchar(2)) + ':' + cast(substring(cast(#data as nvarchar(6)), 3,2 )as varchar(2) ) as time),100)
Don't store time as varchar, instead alter your table and change the column type to datetime.
SELECT right(convert(varchar(25), Start Time, 100), 7)
The 100 you see in the function specifies the date format mon dd yyyy hh:miAM (or PM), and from there we just grab the right characters.
You can see more about converting datetimes here.

convert Excel Date Serial Number to Regular Date

I got a column called DateOfBirth in my csv file with Excel Date Serial Number Date
Example:
36464
37104
35412
When i formatted cells in excel these are converted as
36464 => 1/11/1999
37104 => 1/08/2001
35412 => 13/12/1996
I need to do this transformation in SSIS or in SQL. How can this be achieved?
In SQL:
select dateadd(d,36464,'1899-12-30')
-- or thanks to rcdmk
select CAST(36464 - 2 as SmallDateTime)
In SSIS, see here
http://msdn.microsoft.com/en-us/library/ms141719.aspx
The marked answer is not working fine, please change the date to "1899-12-30" instead of "1899-12-31".
select dateadd(d,36464,'1899-12-30')
You can cast it to a SQL SMALLDATETIME:
CAST(36464 - 2 as SMALLDATETIME)
MS SQL Server counts its dates from 01/01/1900 and Excel from 12/30/1899 = 2 days less.
tldr:
select cast(#Input - 2e as datetime)
Explanation:
Excel stores datetimes as a floating point number that represents elapsed time since the beginning of the 20th century, and SQL Server can readily cast between floats and datetimes in the same manner. The difference between Excel and SQL server's conversion of this number to datetimes is 2 days (as of 1900-03-01, that is). Using a literal of 2e for this difference informs SQL Server to implicitly convert other datatypes to floats for very input-friendly and simple queries:
select
cast('43861.875433912' - 2e as datetime) as ExcelToSql, -- even varchar works!
cast(cast('2020-01-31 21:00:37.490' as datetime) + 2e as float) as SqlToExcel
-- Results:
-- ExcelToSql SqlToExcel
-- 2020-01-31 21:00:37.490 43861.875433912
this actually worked for me
dateadd(mi,CONVERT(numeric(17,5),41869.166666666664)*1440,'1899-12-30')
(minus 1 more day in the date)
referring to the negative commented post
SSIS Solution
The DT_DATE data type is implemented using an 8-byte floating-point number. Days are represented by whole number increments, starting with 30 December 1899, and midnight as time zero. Hour values are expressed as the absolute value of the fractional part of the number. However, a floating point value cannot represent all real values; therefore, there are limits on the range of dates that can be presented in DT_DATE. Read more
From the description above you can see that you can convert these values implicitly when mapping them to a DT_DATE Column after converting it to a 8-byte floating-point number DT_R8.
Use a derived column transformation to convert this column to 8-byte floating-point number:
(DT_R8)[dateColumn]
Then map it to a DT_DATE column
Or cast it twice:
(DT_DATE)(DT_R8)[dateColumn]
You can check my full answer here:
Is there a better way to parse [Integer].[Integer] style dates in SSIS?
Found this topic helpful so much so created a quick SQL UDF for it.
CREATE FUNCTION dbo.ConvertExcelSerialDateToSQL
(
#serial INT
)
RETURNS DATETIME
AS
BEGIN
DECLARE #dt AS DATETIME
SELECT #dt =
CASE
WHEN #serial is not null THEN CAST(#serial - 2 AS DATETIME)
ELSE NULL
END
RETURN #dt
END
GO
I had to take this to the next level because my Excel dates also had times, so I had values like this:
42039.46406 --> 02/04/2015 11:08 AM
42002.37709 --> 12/29/2014 09:03 AM
42032.61869 --> 01/28/2015 02:50 PM
(also, to complicate it a little more, my numeric value with decimal was saved as an NVARCHAR)
The SQL I used to make this conversion is:
SELECT DATEADD(SECOND, (
CONVERT(FLOAT, t.ColumnName) -
FLOOR(CONVERT(FLOAT, t.ColumnName))
) * 86400,
DATEADD(DAY, CONVERT(FLOAT, t.ColumnName), '1899-12-30')
)
In postgresql, you can use the following syntax:
SELECT ((DATE('1899-12-30') + INTERVAL '1 day' * FLOOR(38242.7711805556)) + (INTERVAL '1 sec' * (38242.7711805556 - FLOOR(38242.7711805556)) * 3600 * 24)) as date
In this case, 38242.7711805556 represents 2004-09-12 18:30:30 in excel format
In addition of #Nick.McDermaid answer I would like to post this solution, which convert not only the day but also the hours, minutes and seconds:
SELECT DATEADD(s, (42948.123 - FLOOR(42948.123))*3600*24, dateadd(d, FLOOR(42948.123),'1899-12-30'))
For example
42948.123 to 2017-08-01 02:57:07.000
42818.7166666667 to 2017-03-24 17:12:00.000
You can do this if you just need to display the date in a view:
CAST will be faster than CONVERT if you have a large amount of data, also remember to subtract (2) from the excel date:
CAST(CAST(CAST([Column_With_Date]-2 AS INT)AS smalldatetime) AS DATE)
If you need to update the column to show a date you can either update through a join (self join if necessary) or simply try the following:
You may not need to cast the excel date as INT but since the table I was working with was a varchar I had to do that manipulation first. I also did not want the "time" element so I needed to remove that element with the final cast as "date."
UPDATE [Table_with_Date]
SET [Column_With_Excel_Date] = CAST(CAST(CAST([Column_With_Excel_Date]-2 AS INT)AS smalldatetime) AS DATE)
If you are unsure of what you would like to do with this test and re-test! Make a copy of your table if you need. You can always create a view!
Google BigQuery solution
Standard SQL
Select Date, DATETIME_ADD(DATETIME(xy, xm, xd, 0, 0, 0), INTERVAL xonlyseconds SECOND) xaxsa
from (
Select Date, EXTRACT(YEAR FROM xonlydate) xy, EXTRACT(MONTH FROM xonlydate) xm, EXTRACT(DAY FROM xonlydate) xd, xonlyseconds
From (
Select Date
, DATE_ADD(DATE '1899-12-30', INTERVAL cast(FLOOR(cast(Date as FLOAT64)) as INT64) DAY ) xonlydate
, cast(FLOOR( ( cast(Date as FLOAT64) - cast(FLOOR( cast(Date as FLOAT64)) as INT64) ) * 86400 ) as INT64) xonlyseconds
FROM (Select '43168.682974537034' Date) -- 09.03.2018 16:23:28
) xx1
)
For those looking how to do this in excel (outside of formatting to a date field) you can do this by using the Text function https://exceljet.net/excel-functions/excel-text-function
i.e.
A1 = 132134
=Text(A1,"MM-DD-YYYY") will result in a date
This worked for me because sometimes the field was a numeric to get the time portion.
Command:
dateadd(mi,CONVERT(numeric(17,5),41869.166666666664)*1440,'1899-12-31')