when they say "we will use unix time", does that mean i should create a column like this ?
date DATE
or
date TIME
or
date DATETIME
?
A unix time is just a number representing the nr of seconds since 1970. If you want to store that directly, use an INTEGER.
You're likely better off storing this as a DATETIME, as that will facilitate easier querying. Though when inserting data you might need to convert it using the from_unixtime
function.
A DATE stores only the date, not the time(hour/min/secs) and a TIME stores only the time not the date so they're not suitable.
UNIX time is expressed as an integer value - number of seconds since the epoch. You'd just want to use an int field for this, not any of the date variants.
Unix-Time is normally seconds from 01-01-1970...means integer.
Related
I have some SQLite database in which one of the columns has data type as realdate and the column has value as 2453137.5
can anyone please comment on this?
any help is appreciated :)
From SQLlite Docs
SQLite does not have a storage class set aside for storing dates and/or times. Instead, the built-in Date And Time Functions of SQLite are capable of storing dates and times as TEXT, REAL, or INTEGER values:
TEXT as ISO8601 strings ("YYYY-MM-DD HH:MM:SS.SSS").
REAL as Julian day numbers, the number of days since noon in Greenwich on November 24, 4714 B.C. according to the proleptic Gregorian calendar.
INTEGER as Unix Time, the number of seconds since 1970-01-01 00:00:00 UTC.
Applications can chose to store dates and times in any of these formats and freely convert between formats using the built-in date and time functions.
In your example you are using REAL datatype to store Dates. It will give the output which is not human readable.
For eg., If i'm storing current date and time
CREATE TABLE
IF NOT EXISTS DATEREAL (d1 real);
INSERT INTO DATEREAL (d1)
VALUES(julianday('now'));
SELECT * from DATEREAL;
Output : 2458792.7882345
You can read this using built-in date() and time() as shown below
SELECT
date(d1),
time(d1)
FROM
datereal;
Output :
date(d1) time(d1)
2019-11-05 06:55:03
Check demo here
One of the powerful features of SQLite is allowing you to choose the storage type.
Real number has 2 advantages:
High precision regarding fraction seconds
Longest time range
I got this answer from a user named Zso.
Here's the link to the original post How do DATETIME values work in SQLite?.
Hope this might help you to understand better.
Date and Timestamps both have time added and interval is used in case of manipulation of dates via addition yearwise, datewise etc.
Still unsure about the exact actual difference though when it comes to dates in oracle especially.
Is there any major difference in terms of efficiency or some other difference on the usage of date, timestamp and interval?
Your question is not clear but this information may help you.
TIMESTAMP supports fractional seconds, unlike DATE which supports only seconds
TIMESTAMP exist in three flavors:
TIMESTAMP does not contain any time zone information.
TIMESTAMP WITH TIME ZONE and TIMESTAMP WITH LOCAL TIME ZONE contain time zone information
Regarding calculation and manipulation there is actually no difference between TIMESTAMP and DATE. There are only a very few functions which support only either of these two types.
DATE is an old data type. TIMESTAMP was introduced later (well "later" means in 9i, i.e. 20 years ago)
INTERVAL YEAR TO MONTH and INTERVAL DAY TO SECOND are interval data types, they do not contain any absolute date information.
Hope this gave some hints. Otherwise please elaborate your question.
date does not store fractional seconds so comparing time with date less than 1 sec wont work!!!!!
I looked on the documentation for google big query data types, checking the differences between TimeStamp to Datetime data types.
As I understand the main difference is:
Unlike Timestamps, a DATETIME object does not refer to an absolute instance in time. Instead, it is the civil time, or the time that a user would see on a watch or calendar.
So when should I use Timestamp/Datetime?
Thanks
In most cases you will want to use the timestamp data type. It refers to an absolute point in time. BigQuery interprets any timezone information and represents the time internally as a UTC timestamp.
Very rarely would you use a datetime data type, which is a date and a time but no time zone. The example I like to give is that you'd use a datetime to represent pi day, 2017, since it occurs at 2017-03-14 15:09:26.535898 in each time zone separately.
We are using a Vertica database with table columns of type timestamptz, all data is inserted according to the UTC timezone.
We are using spring-jdbc's NamedParameterJdbcTemplate
All queries are based on full calendar days, e.g. start date 2013/08/01 and end date 2013/08/31, which brings everything between '2013/08/01 00:00:00.0000' and '2013/08/31 23:59:59.9999'
We are trying to modify our queries to consider timezones, i.e. I can for my local timezone I can ask for '2013/08/01 00:00:00.0000 Asia/Jerusalem' till '2013/08/31 23:59:59.9999 Asia/Jerusalem', which is obviously different then '2013/08/01 00:00:00.0000 UTC' till '2013/08/31 23:59:59.9999 UTC'.
So far, I cannot find a way to do so, I tried setting the timezone in the session:
set timezone to 'Asia/Jerusalem';
This doesn't even work in my database client.
Calculating the difference in our Java code will not work for us as we also have queries returning date groupings (this will get completely messed up).
Any ideas or recommendations?
I am not familiar with Veritca, but some general advice:
It is usually best to use half-open intervals for date range queries. The start date should be inclusive, while the end date should be exclusive. In other words:
start <= date < end
or
start <= date && end > date
Your end date wouldn't be '2013/08/31 23:59:59.9999', it would instead be the start of the next day, or '2013/09/01 00:00:00.0000'. This avoids problems relating to precision of decimals.
That example is for finding a single date. Since you are querying a range of dates, then you have two inputs. So it would be:
startFieldInDatabase >= yourStartParameter
AND
endFieldInDatabase < yourEndParameter
Again, you would first increment the end parameter value to the start of the next day.
It sounds like perhaps Vertica is TZ aware, given that you talked about timestamptz types in your answer. Assuming they are similar to Oracle's TIMESTAMPTZ type, then it sounds like your solution will work just fine.
But usually, if you are storing times in UTC in your database, then you would simply convert the query input time(s) in advance. So rather than querying between '2013/08/01 00:00:00.0000' and '2013/09/01 00:00:00.0000', you would convert that ahead of time and query between '2013/07/31 21:00:00.0000' and '2013/08/31 21:00:00.0000'. There are numerous posts already on how to do that conversion in Java either natively or with Joda Time, so I won't repeat that here.
As a side note, you should make sure that whatever TZDB implementation you are using (Vertica's, Java's, or JodaTime's) has the latest 2013d update, since that includes the change for Israel's daylight saving time rule that goes into effect this year.
Okay, so apparently:
set time zone to 'Asia/Jerusalem';
worked and I just didn't realize it, but for the sake of helping others I'm going to add something else that works:
select fiels at time zone 'Asia/Jerusalem' from my_table;
will work for timestamptz fields
If I want to store date and time, is it better to store them in a separate date and time or use a single datetime?
When should we use date and time instead of a single datetime?
I want to filter my queries either using date or time.
When you are talking about a moment in time, whether a universal moment, or a specific date and time on someone's local calendar, you use a datetime. If you want to be sure that you are talking about an exact moment in time, regardless of the observer, then you use a datetimeoffset.
If you are storing just a date then you mean a date without a time component, meaning "any time on this date".
If you are storing just a time then you mean a time without a date component, meaning "this time on any date", or "this time on a date determined by some other means".
There is no practical purpouse to having both a date and a time that are about the same thing, sitting on the same row. Just use a datetime for that.
In SQL Server 2008 you have date and time data types so this becomes a non issue.
If it is good choice it really depends by your business and how you will query you data.
If for example you want to know all the orders places between 1 and 2 PM for any day using a separated Date and Time column will make it quicker
If you intentionally do not care about the time, it's more efficient to store this data as a date datatype. Think a customer birthday column, there's not too many cases I can think of that would use this time. If there happens to be a time attached to it (often a bug), this needs to be removed via a convert statement in order to do a compare. It also consumes additional space if you don't need these values (3 bytes compared to 8).
I think it's similar to having a status code table with the id as a bigint instead of a tinyint or the like (depending on how many status codes you would plan to have).
It's just a matter of what you're using the data for, if you think there's a good chance you'll ever need the that data, then use datetime, otherwise use date.
Nothing brilliant about separating date and time,
Better you save date and time in Same column,
Here they have discussed the same issue check it : are-there-any-good-reasons-for-keeping-date-and-time-in-separate-columns
you can also get date and time separately by query
SELECT
CONVERT(VARCHAR(10),GETDATE(),111) as DatePart,
convert(varchar(15), getdate(), 108) TimePart