will be very grateful for any help you can provide related to the following situation.
I have 2 tables and 3rd table which is a joined table of those 2 tables.
Each table contains information on stage changes where for my calculation important are old value of stage field, new value, and date of change.
In case there is a only date1 in table 1 I use the following SQLite code
select *, case when `Duration1` = 0 then 1 else Duration1 end as "Duration1"
from
(select * ,
coalesce(JULIANDAY(`date2`) - JULIANDAY(`date1`), `report2: Stage Duration`)
as "Duration1"
from table)`
In ideal scenario table 1 contains project and 1st date (date1), table 2 contains project and 2nd date (date2). I can join them and I can get 3rd table with 1st and 2nd dates and calculate the difference between 2 dates there.
The complication pops up in cases when I have 2 dates in table 1 and 1 date in table 2. Here I need a help. I would like to add a condition in SQL code saying
if count(dates from report 1/date1)>count(dates from report 2/date2)
the difference should be (Duration I need) calculated as
today - max(JULIANDAY(`date1`))
This is my first question here. Thank you for you help and understanding in advance!
Related
Using Teradata SQL Assistant, I want to be able to pull a table a year ahead but only the ones that would match the results in the query from the year before. Here's what I am trying to do. I pulled a table that contains information where the results in a specific column equals 0 for no. I want to pull information from 1 year ahead where the results in that column equals 1 but only include the account numbers that came when I pulled the results for the year before. Like only pull the customer account numbers for the year ahead that are the same from the year before.
Explanation: I pull the one table that has 0 in the column. From that, I want to see which of those accounts became a 1 in the table from a year ahead. The table has millions of accounts and I just have my settings for 10,000 of them so I want to see of those 10,000 in the first year that did not have the product, how many of them became 1 in the second year.
Can I do this? If so, how? I have been googling and I do not think I am explaining what I am trying to do correctly in my google query so I am coming up short with results.
Thanks for clarifying. That makes it a little simpler. I would put the second year data in a subquery and filter the main table on the first year and quantity = 0. This will give you two columns one with the first year and one with the second year. If you're only looking for this information for a single product_id you will need to add this to both WHERE clauses.
SELECT TABLE_NAME.ACCOUNT_ID, TABLE_NAME.QUANTITY AS "2019" , YEAR_TWO.QUANTITY AS "2020"
FROM TABLE_NAME
LEFT JOIN
(
SELECT *
FROM TABLE
WHERE YEAR = 2020
) YEAR_TWO ON TABLE_NAME.ACCOUNT_ID = YEAR_TWO.ACCOUNT_ID
WHERE TABLE_NAME.YEAR = 2019
AND TABLE_NAME.QUANTITY = 0
If you want just the % of accounts that are no longer 0 in the second year you could try something like this (adding up all the 1s and dividing by total count)
SELECT TABLE_NAME.YEAR, SUM(YEAR_TWO.QUANTITY) / COUNT(YEAR_TWO.QUANTITY) AS PERCENTAGE_NOT_ZERO
FROM TABLE_NAME
LEFT JOIN
(
SELECT *
FROM TABLE
WHERE YEAR = 2020
) YEAR_TWO ON TABLE_NAME.ACCOUNT_ID = YEAR_TWO.ACCOUNT_ID
WHERE TABLE_NAME.YEAR = 2019
AND TABLE_NAME.QUANTITY = 0
GROUP BY TABLE_NAME.YEAR
I am new to MS ACCESS and am having trouble trying to get the number of records from overlapping time ranges. This is an example of my data.
example of raw data
I am trying to do is to get the column number_of_records. For example, if there are 4 records added at 5.11, the number_of_records should become 8 as 4 records are added at 5.10.
example of raw data with no_of_records column
There is a mistake in my image above. I forgot to mention that for example, if the time hits 6:00, the number of records should not add on to the previous records and should start afresh.
Do any of you have any suggestions?
Consider the correlated count subquery:
SELECT t.time_column_1, t.time_column_2,
(SELECT Count(*) FROM myTable sub
WHERE sub.time_column_1 <= t.time_column_1
AND sub.time_column_2 = t.time_column_2) AS number_of_records
FROM mytable t
ORDER BY t.time_column_2, t.time_column_1
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 with following structure
transaction_id user_id date_column
1 1 01-08-2011
2 2 01-08-2011
3 1 02-08-2011
4 1 03-08-2011
There can be at-max only one entry for each user on each date.
How can get all rows where user_id is not present for specific date range.
So for above table with user_id= 2 and date range 01-08-2011 to 03-08-2011, I want
result
02-08-2011
03-08-2011
Right now, I am using for loop to loop over all dates in given date range.
This is working fine with small date range, but I think it will become resource heavy for large one.
As suggested in a comment, create a table with the dates of interest (I'll call it datesofinterest). Every date from your date range needs to be put into this table.
datesofinterest table
--------------
date
--------------
01-08-2011
02-08-2011
03-08-2011
Then the datesofinterest table needs to be joined with all the userids -- this is the set of all possible combinations of dates-of-interest and userids.
Now you have to remove all those dates-of-interest/userids that are currently in your original table to get your final answer.
In relational algebra, it'd be something like:
(datesofinterest[date] x transaction[user_id]) - (transaction[date_column, user_id])
This page may help with translating '-' to SQL. Generating dates to populate the datesofinterest table can be done in SQL, manually, or with a helper program (perl's DateTime)
I have 2 tables from which i need to run a query to display number of views a user had in the last 3 months from now.
So far I have come up with: all the field types are correct.
SELECT dbo_LU_USER.USERNAME
, Count(*) AS No_of_Sessions
FROM dbo_SDB_SESSION
INNER JOIN dbo_LU_USER
ON dbo_SDB_SESSION.FK_USERID = dbo_LU_USER.PK_USERID
WHERE (((DateDiff("m",[dbo_SDB_SESSION].[SESSIONSTART],Now()))=0
Or (DateDiff("m",[dbo_SDB_SESSION].[SESSIONSTART],Now()))=1
Or (DateDiff("m",[dbo_SDB_SESSION].[SESSIONSTART],Now()))=2))
GROUP BY dbo_LU_USER.USERNAME;
Basically, the code above display a list of all records within the past 3 months; however, it starts from the 1st day of the month and ends on the current date, but I need it to start 3 months prior to today's date.
Also to let you know this is SQL View in MS Access 2007 code.
Thanks in advance
Depending on how "strictly" you define your 3 months rule, you could make things a lot easier and probably efficient, by trying this:
SELECT dbo_LU_USER.USERNAME, Count(*) AS No_of_Sessions
FROM dbo_SDB_SESSION
INNER JOIN dbo_LU_USER
ON dbo_SDB_SESSION.FK_USERID = dbo_LU_USER.PK_USERID
WHERE [dbo_SDB_SESSION].[SESSIONSTART] between now() and DateAdd("d",-90,now())
GROUP BY dbo_LU_USER.USERNAME;
(Please understand that my MS SQL is a bit rusty, and can't test this at the moment: the idea is to make the query scan all record whose date is between "TODAY" and "TODAY-90 days").