I'm pulling two pieces of information over a specific time period, but I would like to fetch the daily average of one tag and the daily count of another tag. I'm not sure how to do daily averages over a specific time period, can anyone provide some advice? Below were my first ideas on how to handle this however to change every date would be annoying. Any help is appreciated thanks
SELECT COUNT(distinct chargeno), to_char(chargetime, 'mmddyyyy') AS chargeend
FROM batch_index WHERE plant=1 AND chargetime>to_date('2012-06-18:00:00:00','yyyy-mm-dd:hh24:mi:ss')
AND chargetime<to_date('2012-07-19:00:00:00','yyyy-mm-dd:hh24:mi:ss')
group by chargetime;
The working version of the daily sum
SELECT to_char(bi.chargetime, 'mmddyyyy') as chargtime, SUM(cv.val)*0.0005
FROM Charge_Value cv, batch_index bi WHERE cv.ValueID =97
AND bi.chargetime<=to_date('2012-07-19','yyyy-mm-dd')
AND bi.chargeno = cv.chargeno AND bi.typ=1
group by to_char(bi.chargetime, 'mmddyyyy')
seems like in the first one you want to change the group to the day - not the time... (plus i dont think you need to specify all those 0's for seconds..)
SELECT COUNT(distinct chargeno), to_char(chargetime, 'mmddyyyy') AS chargeend
FROM batch_index WHERE plant=1 AND chargetime>to_date('2012-06-18','yyyy-mm-dd')
AND chargetime<to_date('2012-07-19','yyyy-mm-dd')
group by to_char(chargetime, 'mmddyyyy') ;
not 100% I'm following your question, but if you just want to do aggregates (sums, avg), then do just that. I threw in the rollup just in case that is what you were looking for
with fakeData as(
select trunc(level *.66667) nr
, trunc(2*level * .33478) lvl --these truncs just make the doubles ints
,trunc(sysdate+trunc(level*.263784123)) dte --note the trunc, this gets rid of the to_char to drop the time
from dual
connect by level < 600
) --the cte is just to create fake data
--below is just some aggregates that may help you
select sum(nr) daily_sum_of_nr
, avg(nr) daily_avg_of_nr
, count(distinct lvl) distinct_lvls_per_day
, count(lvl) count_of_nonNull_lvls_per_day
, dte days
from fakeData
group by rollup(dte)
--if you want the query to supply a total for the range, you may use rollup ( http://psoug.org/reference/rollup.html )
Related
Just had a user answer this correctly for TSQL, but wondering how best to achieve this now in SQL Developer/PLSQL seeing as there is no DATEDIFF function.
Table I want to query on has some 'CODE' values, which can naturally have multiple primary key records ('OccsID') in a table 'Occs'. There is also a datetime column called 'CreateDT' for each OccsID.
Just want to find the maximum possible time variance between any 2 consecutive rows in 'Occs', per 'CODE'.
If you subtract the "next" date and "this" date (using the LEAD analytic function), you'll get the date difference. Then fetch the maximum difference per code. Something like this:
with diff as
(select occsid,
code,
nvl(lead(createdt) over (partition by code order by createdt), createdt) - createdt date_diff
from test
)
select code,
max(date_diff)
from diff
group by code;
Assuming that this T-SQL version works for you (from the prior question)
SELECT x.code, MAX(x.diff_sec) FROM
(
SELECT
code,
DATEDIFF(
SECOND,
CreateDT,
LEAD(CreateDT) OVER(PARTITION BY CODE ORDER BY CreateDT) --next row's createdt
) as diff_sec
FROM Occs
)x
GROUP BY x.code
The simplest option is just to subtract the two dates to get a difference in days. You can then multiply to get the difference in hours, minutes, or seconds
SELECT x.code, MAX(x.diff_day), MAX(x.diff_sec)
FROM
(
SELECT
code,
CreateDT -
LEAD(CreateDT) OVER(PARTITION BY CODE ORDER BY CreateDT) as diff_day,
24*60*60* (CreateDT -
LEAD(CreateDT) OVER(PARTITION BY CODE ORDER BY CreateDT)) as diff_sec
FROM Occs
)x
GROUP BY x.code
I want to count records of each ID with in 1 Hour. I tried out some IMPALA queries but without any luck.
I have input data as follows:
And expected output would be:
I tried :
select
concat(month,'/',day,'/',year,' ',hour,':',minute) time, id,
count(1) over(partition by id order by concat(month,'/',day,'/',year,' ',hour,':',minute) range between '1 hour' PRECEDING AND CURRENT ROW) request
from rt_request
where
concat(year,month,day,hour) >= '2019020318'
group by id, concat(month,'/',day,'/',year,' ',hour,':',minute)
But I got exception.
RANGE is only supported with both the lower and upper bounds UNBOUNDED or one UNBOUNDED and the other CURRENT ROW.
Any suggestion/help would be appreciated.
Thank you in advance!
I think you are looking for counts for the same hour across days for a given id. You can simply use row_number to do this.
select time,id,row_number() over(partition by id,hour order by concat(month,'/',day,'/',year,' ',hour,':',minute)) as total
from tbl
i am trying to better a query. I have a dataset of ticket opened. Every ticket has different rows, every row rappresent an update of the ticket. There is a field (dt_update) that differs it every row.
I have this indexs in the st_remedy_full_light.
IDX_ASSIGNMENT (ASSIGNMENT)
IDX_REMEDY_INC_ID (REMEDY_INC_ID)
IDX_REMDULL_LIGHT_DTUPD (DT_UPDATE)
Now, the query is performed in 8 second. Is high for me.
WITH last_ticket AS
( SELECT *
FROM st_remedy_full_light a
WHERE a.dt_update IN
( SELECT MAX(dt_update)
FROM st_remedy_full_light
WHERE remedy_inc_id = a.remedy_inc_id
)
)
SELECT remedy_inc_id, ASSIGNMENT FROM last_ticket
This is the plan
How i could to better this query?
P.S. This is just a part of a big query
Additional information:
- The table st_remedy_full_light contain 529.507 rows
You could try:
WITH last_ticket AS
( SELECT remedy_inc_id, ASSIGNMENT,
rank() over (partition by remedy_inc_id order by dt_update desc) rn
FROM st_remedy_full_light a
)
SELECT remedy_inc_id, ASSIGNMENT FROM last_ticket
where rn = 1;
The best alternative query, which is also much easier to execute, is this:
select remedy_inc_id
, max(assignment) keep (dense_rank last order by dt_update)
from st_remedy_full_light
group by remedy_inc_id
This will use only one full table scan and a (hash/sort) group by, no self joins.
Don't bother about indexed access, as you'll probably find a full table scan is most appropriate here. Unless the table is really wide and a composite index on all columns used (remedy_inc_id,dt_update,assignment) would be significantly quicker to read than the table.
I was attempting to find the 95 percentile of all the values per hour and display them at daily level. Here is snippet of the code I am working on:
select distinct columnA
,date(COLLECTDATETIME) as date_stamp
,hour(COLLECTDATETIME) as hour_stamp
,PERCENTILE_DISC(0.95) WITHIN GROUP(order by PARAMETER_VALUE)
over (PARTITION BY hour(COLLECTDATETIME)) as max_per_day
from TableA
where
columnA = 'abc'
and PARAMETER_NAME = 'XYZ';
Right now the result set gives me the same value per hour each day, but it doesn't the 95 percentile value for a given hour per day.
Just a thought, but have you tried converting PARAMETER_VALUE into one of the data types that are accepted by the ORDER BY expression (INTEGER, FLOAT, INTERVAL, or NUMERIC)?
For example, you could try WITHIN GROUP(order by PARAMETER_VALUE::FLOAT).
You need to add an aggregate query on the top of the subquery (the percentile). Either max/min (because in each scope the percentiles are the same) percentile_disc is an analytics function but not aggregate function
SELECT dateid,
hour,
MAX(max_per_day) as max_per_day
FROM (
SELECT date(COLLECTDATETIME) AS dateid,
hour(COLLECTDATETIME) AS hour,
percentile_disc(0.95) WITHIN GROUP(order by PARAMETER_VALUE) OVER (PARTITION BY date(COLLECTDATETIME), hour(COLLECTDATETIME)) as max_per_day
WHERE ......
)
GROUP BY dateid, hour
I have a query, get the results for different people, but for every people, they have different results, how can i get oldest result for each people, the following pic is for one specific people.
select <<your fields>>
from (select t.*, row_number(partition by <<person_id>> order by OLD_ACTIVE_DT desc) as rn
from <<your query>> t) vw
where vw.rn = 1