postgres query with current_date is not working - postgresql

Below is my query in postgres
select dns_time,update_time from dns_lookup where update_time=current_date;
Here update_time is of type timestamp with time zone.
I have tried this one also.
select dns_time,update_time from dns_lookup where update_time like current_date;
Then also getting no results.
I have records with current_date values.But it is not showing me any records.How to compare timestamp with time zone value with current_date.please help me
Thank you.

First: LIKE on a date or timestamp column does not make any sense.
A timestamp contains a time part so a comparison with a plain date won't work. You need to remove the time from the timestamp by casting it to a date:
where cast(update_time as date) = current_date;
Note that this will void the usage of an index on update_time. If that is a problem you can create a function based index on that expression.

You might be trying to compare a timestamp field with the Date field.
Try casting timestamp to Date
select dns_time,update_time from dns_lookup where update_time::Date=current_date;
Hope this helps.

Related

How to change the timestamp format in Postgresql to extract day part of the str?

I have create a datetime with type timestamp. datetime timestamp NOT NULL I am not sure why the output is like this:
I want to extract the day part. I have tried these different approach but in both cases I am getting an error. How can I fix it?
extract(DAY FROM TIMESTAMP min(to_char(u.datetime ,'YYYY-MM-DD HH24:MI'))::timestamp)
EXTRACT(DAY FROM TIMESTAMP min(to_char(u.datetime ,'YYYY-MM-DD HH24:MI')))
date_part('day', min(to_char(u.datetime ,'YYYY-MM-DD HH24:MI')))
As mentioned in response I modified query to be like below and it does work.
extract(day from MIN(datetime)) as Day
All you need is:
select *, extract(day from activated_at) as Day from yourTable;
What you are seeing is a timestamp formatted as text for the display. Underlying data is timestamp as you said, directly use it.

Redshift: converting timestamp to date in specific time zone

Using psycopg to connect to a Redshift DB I am trying to group by date (in a specific time zone, given at query time). All date_times are stored without time zone (and correspond to UTC timestamps).
I have been trying the following:
SELECT DISTINCT DATE(TIME_ZONE(%(time_zone)s, date_time_dim.timestamp)) AS date,
SUM(meals.sugar_in_g) AS total_sugar
FROM meals
INNER JOIN date_time_dim
ON meals.created_at = date_time_dim.timestamp
WHERE meals.patient_id=%(patient_id)s
AND date_time_dim.timestamp >= %(utc_start_date_time)s
AND date_time_dim.timestamp <= %(utc_end_date_time)s
GROUP BY date
ORDER BY date ASC;
with the following query dictionary:
utc_start_date_time UTC-converted date time
utc_end_date_time UTC-converted date time
patient_id an integer
time_zone, a string, ex: 'US/Hawaii'
The goal being to have one entry for each date (in the given time zone).
What I tried gives me:
function time_zone("unknown", timestamp without time zone) does not exist
What am I missing ?
Edit: This is the same with CONVERT_TIME_ZONE, with and without source time_zone, with and without type casting time_zone to VARCHAR.
The function in Redshift to return a timestamp in a different timezone is TIMEZONE() not TIME_ZONE() - see https://docs.aws.amazon.com/redshift/latest/dg/Date_functions_header.html

How to get only those that satisify date-only part of timestamp, not time

The problem is timestamps are like Year-Month-Day Hour:Minute:Second and my WHERE condition needs to ONLY care for the year-month-day portion.
I have tried conditioning for DATE(). I have tried truncate() and have also just simply tried only WHERE created_on = '2019-01-01' and have not have any results show up.
My table columns are:
id|event_status|created_on
created_on being the timestamp field.
[57014] ERROR: canceling statement due to statement timeout
and no results showing up at all.
You need to cast the timestamp to a date:
WHERE created_on::date = date '2019-01-01'`
However that will not be able to use an index on created_on which might be the reason for the timeout.
Another way of writing this that can make use of an index on created_on is to use a range condition:
WHERE created_on >= date '2019-01-01'
and created_on < date '2019-01-02'
You can cast a timestamp into a date. This truncates the time part
WHERE created_on::date = '2019-01-01'::date

Postgresql How extract date

I need get only the date from now() at my time zone, I have this query:
SELECT now() AT TIME ZONE 'America/Santiago'
And I'm getting something like this "2015-06-08 23:59:34.142569"
but I need extract only the date, how can I get it?
Thanks.
If you want the server's date,
SELECT current_date;
If you need the date for any timestamp, eg the one you've gotten into your timezone, use date().
SELECT date(now() AT TIME ZONE 'America/Santiago');
Docs: http://www.postgresql.org/docs/current/static/functions-datetime.html
For postgres you want
select current_date;
if you need to extract any of those fields out of the returned value you can use extract
EXTRACT (field FROM source)

Convert bigint data type to timestamp (and subsequently to date) in redshift

I need to convert the value stored in a bigint column to a date field. The first step of the conversion involves converting it to timestamp, and subsequently use the TRUNC method to convert this column to a date value.
However, my query is failing while converting the bigint value to timestamp.
The error that I'm getting is:-
Amazon Invalid operation: cannot cast type bigint to timestamp without time zone;
The query I'm trying for now is something like this:-
select ts::timestamp from events limit 1;
I was able to avoid the time zone error by using the method described in this thread: https://stackoverflow.com/a/36399361
My dates are based on epochs, and I was able to do the following:
SELECT
(TIMESTAMP 'epoch' + contract_start_date * INTERVAL '1 Second ')
FROM
table_name
SELECT TIMESTAMP 'epoch' + {column of bigint}/1000 * INTERVAL '1 second' as adate FROM tbl
If you are starting with a POSIX timestamp, and trying to get a timezone aware datetime value, you will need to supply a timezone - even if you later want to truncate the time part away. I'm not familiar with redshift, but perhaps there is a way to specify you mean UTC.