How do I get the date of the most recent child record? In the SQL, I am trying to get the latest MOPNOTES.MOPNOTEDATE. I am also wanting only one record per MOPACTIVITY.MOPID. Any direction would be greatly appreciated.
SELECT DISTINCT MOPACTIVITY.MOPID,
MOPNOTES.MOPNOTEDATE
FROM MOPUSER.MOPACTIVITY INNER JOIN MOPUSER.MOPNOTES ON MOPACTIVITY.MOPID=MOPNOTES.MOPID
WHERE MOPACTIVITY.MOPEND BETWEEN TRUNC(SYSDATE-1) + INTERVAL '12:00' HOUR TO MINUTE AND TRUNC(SYSDATE) + INTERVAL '9:00' HOUR TO MINUTE
AND UPPER(MOPACTIVITY.MOPSTATUS) = 'COMPLETE'
AND UPPER(MOPACTIVITY.MOPNOTIFICATIONSENT) LIKE '%TRUE%'
ORDER BY MOPACTIVITY.MOPID
You're looking for the MAX aggregate function on a date field in combination with a group by on the MOPID to Group all like Ids and return the most recent date. Distinct wasn't working for you becuase you had different dates. By only returning the max you get 1 date and 1 ID is generated using the group by.
SELECT MOPACTIVITY.MOPID, Max(MOPNOTES.MOPNOTEDATE)
FROM MOPUSER.MOPACTIVITY
INNER JOIN MOPUSER.MOPNOTES
ON MOPACTIVITY.MOPID=MOPNOTES.MOPID
WHERE MOPACTIVITY.MOPEND BETWEEN TRUNC(SYSDATE-1) + INTERVAL '12:00' HOUR TO MINUTE AND TRUNC(SYSDATE) + INTERVAL '9:00' HOUR TO MINUTE
AND UPPER(MOPACTIVITY.MOPSTATUS) = 'COMPLETE'
AND UPPER(MOPACTIVITY.MOPNOTIFICATIONSENT) LIKE '%TRUE%'
GROUP BY MOPACTIVITY.MOPID
ORDER BY MOPACTIVITY.MOPID
Related
I have an application where we use AWS Athena. I have 2 tables viz. events and event_transactions. events table contain event information and event_transactions contain individual events and there is a column event_date which tells the day on which event occurred.
I need to calculate the count of events for each event for last 1 month interval, last 1 week interval and last 1 day from today's date.
Format:
event_name, daily_count, weekly_count, monthly_count
I need to display all 3 counts for each event in the same row.
To calculate weekly_count I use below query:
select event_name, count(*) as weekly_count from event_transactions where event_name in ('ABC','XYZ')
and (event_date >= CAST(current_date - interval '7' day as varchar)) AND (event_date <= CAST(current_date - interval '1' day as varchar))
group by 1
Output:
event_name. weekly_count
ABC. 23
XYZ. 14
How can I write a SQL query which will print all 3 counts in a single row?
Use count_if. Something along this lines:
select event_name,
count_if(event_date >= CAST(current_date - interval '7' day as varchar) AND event_date <= CAST(current_date - interval '1' day as varchar)) as weekly_count ,
... -- rest of the counts
from event_transactions
where event_name in ('ABC','XYZ')
group by 1
Also I would recommend looking into between range operator and using date_parse on event_date if it has data in consistent format.
I want to get data from last month day by day, I can get the last 30 days but I just want the month as it may be less or more than 30 days,
this is the query for getting the last 30 days
SELECT Trunc(timestamp),
Count(*)
FROM table1
WHERE Trunc(timestamp) > Trunc(sysdate - 30)
GROUP BY Trunc(timestamp)
ORDER BY 1;
Also, I am using it in a shell script if I can make a variable in the script and put it the query
To get data from the start of the current month until today:
SELECT TRUNC(timestamp) AS day,
COUNT(*)
FROM table1
WHERE timestamp >= TRUNC(SYSDATE, 'MM')
AND timestamp < TRUNC(SYSDATE) + INTERVAL '1' DAY
GROUP BY TRUNC(timestamp)
ORDER BY day
To get data from the same day last month until today:
SELECT TRUNC(timestamp) AS day,
COUNT(*)
FROM table1
WHERE timestamp >= ADD_MONTHS(TRUNC(SYSDATE), -1)
AND timestamp < TRUNC(SYSDATE) + INTERVAL '1' DAY
GROUP BY TRUNC(timestamp)
ORDER BY day
db<>fiddle here
Oracle SQL:
I been trying to get this some snippet of query working. When you run it, it prompts you for an hour, and displays no records. I don’t want the query to have a static hour as it will need to be run 4 times a day.
So from the ‘&date’ input, I want it to show data for the past 24 hours. Is that possible?
dt_time = timestamp(6) field
select distinct to_char(dt_ time,'dd/mm/yyyy hh24'), fault_description
from order
where to_char(dt_time,'hh24') <= '&date' -24
order by to_char(dt_ time,'dd/mm/yyyy hh24');
Example, if you enter 10 (when query executed) it will show the data from 10(:00) through to 10(:00)next day
[Hope there is enough info for someone to answer, please]
Use a combination of between and interval:
where dt_time between
to_date(&date, 'ddmmyyyy hh24') and
to_date(&date, 'ddmmyyyy hh24') + interval '24' hour
You'll need to pass/parse the input date as a full date and not only the hour part, in order to prevent unexpected results.
You can use NUMTODSINTERVAL in a CTE to get the hour as user input.
WITH t_hour( h ) AS
( SELECT NUMTODSINTERVAL(&d,'HOUR' ) h FROM DUAL
)
SELECT DISTINCT TO_CHAR(dt_time,'dd/mm/yyyy hh24'),
fault_description
FROM ORDER
CROSS JOIN t_hour
WHERE dt_time BETWEEN TRUNC(SYSDATE) + h AND TRUNC(SYSDATE) + 1 + h
ORDER BY 1;
You need to make use of SYSDATE as you are fetching last one day data.
Also if you add or subtract number with a date column the offset will be number of days, not number of hours. So you need to use &date/24
Try this:
select distinct to_char(dt_time,'dd/mm/yyyy hh24'), fault_description
from order
where dt_time - &date / 24 between TRUNC(sysdate-1) and TRUNC(sysdate)
order by to_char(dt_ time,'dd/mm/yyyy hh24');
Please comment.
WHERE DATEDIFF(SYSDATE,DT_TIME) * 24 < &DATE AND DT_TIME < SYSDATE
I have a table employee in Postgres:
Query:
SELECT DISTINCT month_last_date,number_of_cases,reopens,csat
FROM employee
WHERE month_last_date >=(date('2017-01-31') - interval '6 month')
AND month_last_date <= date('2017-01-31')
AND agent_id='analyst'
AND name='SAM';
Output:
But if data is not in table for other month I want column value as 0.
Generate all dates you are interested in, LEFT JOIN to the table and default to 0 with COALESCE:
SELECT DISTINCT -- see below
i.month_last_date
, COALESCE(number_of_cases, 0) AS number_of_cases -- see below
, COALESCE(reopens, 0) AS reopens
, COALESCE(csat, 0) AS csat
FROM (
SELECT date '2017-01-31' - i * interval '1 mon' AS month_last_date
FROM generate_series(0, 5) i -- see below
) i
LEFT JOIN employee e ON e.month_last_date = i.month_last_date
AND e.agent_id = 'analyst' -- see below
AND e.name = 'SAM';
Notes
If you add or subtract an interval of 1 month and the same day does not exist in the target month, Postgres defaults to the latest existing day of that moth. So this works as desired, you get the last day of each month:
SELECT date '2017-12-31' - i * interval '1 mon' -- note 31
FROM generate_series(0,11) i;
But this does not, you'd get the 28th of each month:
SELECT date '2017-02-28' - i * interval '1 mon' -- note 28
FROM generate_series(0,11) i;
The safe alternative is to subtract 1 day from the first day of the next month, like #Oto demonstrated. Related:
Daily average for the month (needs number of days in month)
Here are two optimized ways to generate a series of last days of the month - up to and including a given month:
1.
SELECT (timestamp '2017-01-01' - i * interval '1 month')::date - 1 AS month_last_date
FROM generate_series(-1, 10) i; -- generate 12 months, off-by-1
Input is the first day of the month - or calculate it from a given date or timestamp with date_trunc():
SELECT date_trunc('month', timestamp '2017-01-17')::date AS this_mon1
Subtracting an interval from a date produces a timestamp. After the cast back to date we can simply subtract an integer to subtract days.
2.
SELECT m::date - 1 AS month_last_date
FROM generate_series(timestamp '2017-02-01' - interval '11 month' -- for 12 months
, timestamp '2017-02-01'
, interval '1 mon') m;
Input is the first day of the next month - or calculate it from any given date or timestamp with:
SELECT date_trunc('month', timestamp '2017-01-17' + interval '1 month')::date AS next_mon1
Related:
How do I determine the last day of the previous month using PostgreSQL?
Create list with first and last day of month for given period
Not sure you actually need DISTINCT. Typically, (agent_id, month_last_date) would be defined unique, then remove DISTINCT ...
Be sure to use the LEFT JOIN correctly. Join conditions go into the join clause, not the WHERE clause:
Explain JOIN vs. LEFT JOIN and WHERE condition performance suggestion in more detail
Finally, default to 0 with COALESCE where NULL values are filled in by the LEFT JOIN.
Note that COALESCE cannot distinguish between actual NULL values from the right table and NULL values filled in for missing rows. If your columns are not defined NOT NULL, there may be ambiguity to address.
As I see, you need generate last days of all last 6 months, before certain date. (before "2017-01-31" in this case).
If I correctly understand, then you can use this query, which generates all of these days
SELECT (date_trunc('MONTH', mnth) + INTERVAL '1 MONTH - 1 day')::DATE
FROM
generate_series('2017-01-31'::date - interval '6 month', '2017-01-31'::date, '1 month') as mnth;
You just need LEFT JOIN this query to your existing query, and you get desirable result
Please note that this will returns 7 record (days), not 6.
I'm trying to grab people out of a table who have an abandon date between 20 minutes ago and 2 hours ago. This seems to grab the right amount of time, but is all 4 hours old:
SELECT *
FROM $A$
WHERE ABANDONDATE >= SYSDATE - INTERVAL '2' HOUR
AND ABANDONDATE < SYSDATE - INTERVAL '20' MINUTE
AND EMAIL_ADDRESS_ NOT IN(SELECT EMAIL_ADDRESS_ FROM $B$ WHERE ORDERDATE >= sysdate - 4)
also, it grabs every record for everyone and I only want the most recent product abandoned (highest abandondate) for each email address. I can't seem to figure this one out.
If the results are EXACTLY four hours old, it is possible that there is a time zone mismatch. What is the EXACT data type of ABANDONDATE in your database? Perhaps TIMESTAMP WITH TIMEZONE? Four hours seems like the difference between UTC and EDT (Eastern U.S. with daylight savings time offset).
For your other question, did you EXPECT your query to only pick up the most recent product abandoned? Which part of your query would do that? Instead, you need to add row_number() over (partition by [whatever identifies clients etc.] order by abandondate), make the resulting query into a subquery and wrap it within an outer query where you filter by (WHERE clause) rn = 1. We can help with this if you show us the table structure (name and data type of columns in the table - only the relevant columns - including which is or are Primary Key).
Try
SELECT * FROM (
SELECT t.*,
row_number()
over (PARTITION BY email_address__ ORDER BY ABANDONDATE DESC) As RN
FROM $A$ t
WHERE ABANDONDATE >= SYSDATE - INTERVAL '2' HOUR
AND ABANDONDATE < SYSDATE - INTERVAL '20' MINUTE
AND EMAIL_ADDRESS_ NOT IN(
SELECT EMAIL_ADDRESS_ FROM $B$
WHERE ORDERDATE >= sysdate - 4)
)
WHERE rn = 1
another approach
SELECT *
FROM $A$
WHERE (EMAIL_ADDRESS_, ABANDONDATE) IN (
SELECT EMAIL_ADDRESS_, MAX( ABANDONDATE )
FROM $A$
WHERE ABANDONDATE >= SYSDATE - INTERVAL '2' HOUR
AND ABANDONDATE < SYSDATE - INTERVAL '20' MINUTE
AND EMAIL_ADDRESS_ NOT IN(
SELECT EMAIL_ADDRESS_ FROM $B$
WHERE ORDERDATE >= sysdate - 4)
GROUP BY EMAIL_ADDRESS_
)