I'm trying to obtain the average time of an "activity" in a moodle database, i am not an sql expert, but i have managed to get to the point showed in the picture, my question is if exists a way to obtain, first the timestamp/time difference (this "activity" does not have a starting time column like many others) by day and then sum them all to get the average of that activity , for the first i tried with the function 'EXTRACT()' and comparing the dates in the format "%Y-%m-%d" but only sums the first row where they are equal, by the way i have been doing this just by a sql statement, i know the existence of store procedures but my level of sql is not that high.
Thanks in advance!
data obtained so far
Data on table logs (the most important i think)
component
action
objecttable
userid
courseid
timecreated
mod_quiz*
viewed
quiz_attempts
6
2
1645287525
mod_forum
viewed
forum
5
2
1645288525
core
loggedout
user
2
0
1645291745
mod_page
viewed
page
5
2
1645291955
Data i've trying to get:
Activity
StartTime
EndTime
Total
forum
19:01
19:10
9 minute(s)
quiz
15:45
16:00
15 minute(s)
page
...
...
...
workshop
...
...
...
but so far i get to assort the data in a column
Time
2022-x-x h:m
....
but when i try to sum by day with the function EXTRACT() and trying to match the dates in a very long query it just get the first record.
NOTE: * half of the "activities" were easy to calculate since they have a "timestart" and "timeend" columns but i can not figure out how to solve the ones that do not have a "timestart" column.
Related
Let me start by saying that I am somewhat new to SQL/Snowflake and have been putting together queries for roughly 2 months. Some of my query language may not be ideal and I fully understand if there's a better, more efficient way to execute this query. Any and all input is appreciated. Also, this particular query is being developed in Snowflake.
My current query is pulling customer volumes by department and date based on a 45 day window with a 24 day lookback from current date and a 21 day look forward based on scheduled appointments. Each date is grouped based on where it falls within that 45 day window: current week (today through next 7 days), Week 1 (forward-looking days 8-14), and Week 2 (forward-looking days 15-21). I have been working to try and build out a comparison column that, for any date that lands within either the Week 1 or Week 2 group, will pull in prior period volumes from either 14 days prior (Week 1) or 21 days prior (Week 2) but am getting nowhere. Is there a best-practice for this type of column? Generic example of the current output is attached. Please note that the 'Prior Wk' column in the sample output was manually populated in an effort to illustrate the way this column should ideally work.
I have tried several different iterations of count(case...) similar to that listed below; however, the 'Prior Wk' column returns the count of encounters/scheduled encounters for the same day rather than those that occurred 14 or 21 days ago.
Count(Case When datediff(dd,SCHED_DTTM,getdate())
between -21 and -7 then 1 else null end
) as "Prior Wk"
I've tried to use an IFF statement as shown below, but no values return.
(IFF(ENCOUNTER_DATE > dateadd(dd,8,getdate()),
count(case when ENC_STATUS in (“Phone”,”InPerson”) AND
datediff(dd,ENCOUNTER_Date,getdate()) between 7 and 14 then 1
else null end), '0')
) as "Prior Wk"
Also have attempted creating and using a temporary table (example included) but have not managed to successfully pull information from the temp table that didn't completely disrupt my encounter/scheduled counts. Please note for this approach I've only focused on the 14 day group and have not begun to look at the 21 day/Week 2 group. My attempt to use the temp table to resolve the problem centered around the following clause (temp table alias: "Date1"):
CASE when AHS.GL_Number = "DATEVISIT1"."GL_NUMBER" AND
datevisit1.lookback14 = dateadd(dd,14,PE.CONTACT_Date)
then "DATEVISIT1"."ENC_Count"
else null end
as "Prior Wk"*
I am extremely appreciative of any insight on the current best practices around pulling prior period data into a column alongside current period data. Any misuse of terminology on my part is not deliberate.
I'm struggling to understand your requirement but it sounds like you need to use window functions https://docs.snowflake.com/en/sql-reference/functions-analytic.html, in this case likely a SUM window function. The LAG window function, https://docs.snowflake.com/en/sql-reference/functions/lag.html, might also be of some help
I would like to make an SQL-Statement in order to find the amount of users that are using a channel by date and time. Let me give you an example:
Let's call this table Data:
Date Start End
01.01.2020 17:00 17:30
01.01.2020 17:01 17:03
01.01.2020 17:29 18:30
Data is a table that shows when an user started the connection on a channel and the time the connection was closed. A connection can be made any time, which means from 00:00 until the next day.
What I am trying to achieve is to count the maximum number of connections that were made over a big period if time. Let's say 1st February to 1st April.
My idea was to make another table with timestamps in Excel. The table would display a Timestamp for every Minute in a specific date.
Then I tried to make a statement like:
SELECT *
FROM Data,Timestamps
WHERE Timestamps.Time BETWEEN Data.Start AND Data.End.
Now logically this statement does what is supposed to do. The only problem is that it is not really performant and therefore not finishing. With the amount of timestamps and the amount of data I have to check it is not able to finish.
Could anybody help me with this problem? Any other ideas I can try or how to improve my statement?
Regards!
So why dou you create another table in Excel and not directly in MS Access and then why won't you set up the indexes of the timestamps right. That will speed it up by factors.
By the way I think that your statement will print repeat every user that happened to match your Start .. End period, so the amount of rows produced will be enormous. You shall rather try
SELECT Timestamps.Time, COUNT(*)
FROM Data,Timestamps
WHERE Timestamps.Time BETWEEN Data.Start AND Data.End
GROUP BY Timestamps.Time;
But sorry if the syntax in MS Access is different.
I have a table (Access 2016) tbl_b with date/time registrations
b_customer (num)
b_date (date)
b_start (date/time)
b_end (date/time)
I want to make a chart of all time registrations per day in a selected month and the gaps between those times. For this I need a query or table showing all times as source for the chart. I’m a bit lost how to approach this.
I assume the chart source needs consecutive records with all date and time registrations to do this. My approach would be create a temporary table (tmp) calculating all time periods where the customer is null. The next step would be a union query to combine the tbl_b and tmp table.
The tbl_b does not have records for every day, so I use a query generating all days in the selected month which shall be used in the chart (found this solution here: [Create a List of Dates in Access Query)
The disadvantage of using a tmp table for the “time gaps” is that it is not updating real time, where a query would provide this opportunity. I have about 20 queries to perform the end result, but MS Access keeps giving (expected) errors that the queries are too difficult.
Every query looks for difference between the in the previous query found end time and the next start time. On the other hand this approach has a weaknes as well, I thought 15 steps would be enough (no more than 15 gaps expected), but this is not sure.
Can anyone give me a head start how this can be accomplished by an easier (and actual working) method? Maybe VBA?
Thx!
Art
I have created 2 tables. one table has 4 fields. a unique name, a date and 3 figures. The second table contains the same fields but records the output of a merge function. therefore has a date at which time the update or insert function happened. what I want to do is retrieve a sum of either the difference between 2 days or alternatively the totals of the 2 days to work out how much the value has changed over the day. The merge function only updates if a value has changed or it needs to insert a new value.
so far I have this
select sum(Change_Table_1.Disk_Space) as total,
Change_Table_1.Date_Updated
from VM_Info
left join Change_Table_1
on VM_Info.VM_Unique = Change_Table_1.VM_Unique
where VM_Info.Agency = 'test'
group by Change_Table_1.Date_Updated
but this would just return the sum of that days updated total rather than the difference between the two days. One answer to this question would be to to add all new records to the table but this would contain a number of duplicates. So in my head what I want it to do is loop over the current figures for the day then loop over the next day but also to include all values that haven't updated. sorry if I haven't explained this well. so what I want to achieve is to get some sort of change of the total over time. If its poor design im in a position to accept that also.
Any help is much appreciated.
maybe this would explain it better. show me total for day 1, if the value hasn't changed then show me the same value for day 2 if it has changed show me new value. and so on...
ok to further elaborate.
the Change_Table looks like
vm date created action value_Field1 value_field_2 Disk_Space
abc 14/10/2013 insert 5 5 30
def 14/10/2013 insert 5 5 75
abc 15/10/2013 update 5 5 75
so the out put I want is for the 14th the total for the last column is 105. On the 15th abc has changed from 30 to 75 but def hasn't changed but still neds to be included giving 150
so the output would look like
date disk_Space
14/10/2013 105
15/10/2013 150
Does this help? If not, can you provide a few rows of sample data, and an example of the desired result?
select
(VM_Info.Disk_Space - Change_Table_1.Disk_Space) as DiskSpaceChange,
Change_Table_1.Date_Updated
from
VM_Info
left join Change_Table_1 on VM_Info.VM_Unique = Change_Table_1.VM_Unique and VM_Info.Date = Change_Table_1.Date_Updated
where
VM_Info.Agency = 'test'
I have a table that lists every task an operator completed during a day. This is gathered by a Shop Floor Control program. There is also a column that has the total hours worked that day, this field comes from their time punches. The table looks something like this:
Operator 1 Bestupid 0.5 8 5/12/1986
Operator 1 BeProductive 0.1 8 5/12/1986
Operator 1 Bestupidagain 3.2 8 5/12/1986
Operator 1 Belazy 0.7 8 5/13/1986
Operator 2 BetheBest 1.7 9.25 5/12/1986
I am trying to get an efficiency out of this by summing the process hours and comparing it to the hours worked. The problem is that when I do any kind of summary on the hours worked column it sums EVERY DETAIL LINE.
I have tried:
If Previous (groupingfield) = (groupingfield) Then
HoursWorked = 0
Else
HoursWorked = HoursWorked
I have tried a global three formula trick, but neither of the above leave me with a summable field, I get "A summary has been specified on a non-recurring field"
I currently use a global variable, reset in the group header, but not WhilePrintinganything. However it is missing some records and upon occasion I will get two hoursworked > 0 in the same group :(
Any ideas?
I just want to clarify, I have three groups:
Groups: Work Center --> Operator --> Date
I can summarize the process hours across any group and that's fine. However, the hours worked prints on every detail line even though it really should only print once per Date. Therefore when I summarize the Hours Worked for an operator the total is WAY off because it is adding up 8hours for each entry instead of 8 hours for each day.
Try grouping by the operators. Then create a running total for the process hours that sum for each record and reset on change of group. In the group footer you can display the running total and any other stats for that operator you care to.
Try another running total for the daily hours but pick maximum as the type of summary. Since all the records for the day will have the same hours work the maximum will be correct. Reset with the change of the date group and you should be good to go.