I'm new here so please be gentle, my first question after using this website for a long time regards the below:
I'm trying to create a sum of count of events in the past 30 days:
select key, sum((COALESCE(count(*),0)))
from table
Where date>= '2016-08-13'
And date<= '2016-09-11'
group by key;
but the sum doesn't seem to work. i'm looking at the last 30 days, and i would like to count any row that exists for each key, and then sum the counts (i need to count on a daily basis and then sum all day's count).
If you can offer any other way to deal with this issue i'm open for suggestions!
Many thanks,
Shira
You can't nest aggregate functions in HQL (or SQL). However, if you just want a count of records falling within range for each key, then you can simply just use COUNT(*):
select key, count(*)
from table
where date >= '2016-08-13' and
date <= '2016-09-11'
group by key;
It looks like there was a couple things wrong with your code.
I've written this for you, haven't tested it but it passes the syntax test.
SELECT COUNT(key) AS Counting FROM tblname
WHERE date>= '2016-08-13'
AND date<= '2016-09-11'
GROUP BY key;
And this might help you. You should definitely be using COUNT for this query.
I'm not sure if it's related but there might be an issue with calling a field 'key' I kept receiving syntax errors for it.
Hope I was able to help!
-Krypton
Related
I am trying to run a simple query against any of the tables contained in SNOWFLAKE.ACCOUNT_USAGE schema but for some reason it is taking up a long time to run even if I try to limit it to show only the first row, like the following example:
SELECT * FROM "SNOWFLAKE"."ACCOUNT_USAGE"."ACCESS_HISTORY" limit 1;
Is that a normal behavior? If not, can someone help me to figure out why this is happening?
Its always a good practice to add a WHERE condition so the optimizer can make use of query pruning.
If you know your objects were accessed within the past say 24 hours, can you add a date filter and see if that helps?
SELECT * FROM "SNOWFLAKE"."ACCOUNT_USAGE"."ACCESS_HISTORY"
WHERE QUERY_START_TIME > CURRENT_DATE() - 1
limit 1;
More info on mirco-partitions and query pruning: https://docs.snowflake.com/en/user-guide/tables-clustering-micropartitions.html#query-pruning
I need your advice on the following query that I have - Let's say that I have a table with all payments that are booked on my current account.
The details of the payment contain date of the operation and hour. I would like to extract the information in a such a way so to have next to each transaction the amount of of the balance(sum of transactions' amount) since the beginning of the day up to the current transaction. The balance for each day is reset to 0.
I was thinking to join this table to itself and find all unique operations from the joined table where the date matches and the hour is less then currently reviewed operation's hour then to use sum on the group.
Still I think that there is much more intelligent solution.
Thanks in advance
here is a sample of the table. Expected result is in the last column
My guess is that you just want a rolling sum. Making up column names and table names, you probably want something like this in your projection (your select list). You shouldn't need to do a self-join.
SUM(transaction_amount)
OVER (PARTITION BY account_number, trunc(transaction_date)
ORDER BY transaction_date) rolling_sum
I'm trying to filter the same column twice. I basically want to only get the record in which one column is between the values of other 2 columns.
Imagine this:
(id,year_min,year_max,year)
(4470,1999,2001,2011)
(4471,2006,2013,2013)
So filtering like this it doesn't work:
filter1 = filter set by (year_min <= year and year_max >= year)
Is there another way of filtering it instead of breaking that filter into several ones?
Also, all the columns are bytearray.
PS: That is not the whole set but that is basically what I want to achieve.
Thanks.
I guess the year_max and year got swapped in your schema. It should be like this right? id, year_min, year, year_max but your schema says id, year_min, year_max, year . I modified the schema its works fine for me. Can you check it?
I have a PowerPivot table for which I need to be able to determine how long an item was in an Error state. My data set looks something like this:
What I need to be able to do is to look at the values in the ID and State columns, and see if the value in the previous row is ERROR in the State column, and the same in the ID column. If it is, I then need to calculate the difference between the Changed Date values in those two rows.
So, for example, when I got to row 4, I would see that the value in the State column for Row 3, the previous row, is ERROR, and that the value in the ID column in the previous row is the same as the current row, so I would then calculate the difference between the Changed Date values in Row 3 and Row 4 (I don't care about the values in any of the other columns for this particular requirement).
Is there a way to do this in PowerPivot? I've done a fair amount of Internet searching, and it looks like if it can be done, it would use the EARLIER or EARLIEST DAX functions, but I can't find anything that tells me how, or even if, this can be done.
Thanks.
Chris,
I have had similar requirements many times and after a really long time of trial-and-error, I finally understood how EARLIER works. It can be very powerful, but also very slow so always check for the performance of your calculations.
To answer your question, you will need to create 4 calculated columns:
1) Item Rank - used for ranking the issues with same Item ID
=COUNTROWS(FILTER('ID', EARLIER([Item ID]) = [Item ID] && EARLIER([Date]) >= [Date]))
2) Follows Error - to easily find issue that follows EROR issue
=IF([State] = "EROR",[Item Rank]+1)
3) Time of Following Issue - simple lookup so that you can calculate the different
=IF([Follows Error]>0,
LOOKUPVALUE([Date], [User], [User], [Item Rank], [Follows Error]),
BLANK()
)
4) Time Diff - calculation of time different for the specific issue
=IF([State]="EROR",
DAY([Time of Following Issue])-DAY([Date]),
BLANK()
)
With those calculated columns, you can then easily create a powerpivot table, drag State and Item Id onto the ROWS pane and then simply add Time Diff to Values. You will get an overview of issues that contain string "EROR" issue and the time it took to resolve them.
This is what it looks like in PowerPivot window:
And the resulting Pivot table:
You can download my Excel file here (2013).
As I mentioned, be careful with the performance as the calculated columns with nested EARLIER and IF conditions might be a bit too performance-demanding. If there is a smarter way, I would be very happy to see it, but for now this works for me just fine.
Also, keep in mind that all calculated columns could be nested into 1, but I kept them separated to make it easier to understand the formulas.
Hope this helps :-)
I need a php function that can randomly select one row that has a unix time date field (like 2011-11-12 or 2011-12-24) that indicates the row was created within the last two weeks from a mySQL table and return the id of that said row.
I don't know how do this. Honestly, I would like someone to hand me the code, but I don't like that because most people don't like that.. and their reasons make sense, but if someone would show me the code, then please do, thus can someone at the least point me in the right direction? Thank you.
You can get the date by using date and strtotime:
$date = date('Y-m-d', strtotime("-2 weeks"));
Then the query would look something like this:
SELECT * FROM table WHERE date_field >= '$date' ORDER BY RAND() LIMIT 1;
ORDER BY RAND() gives you a random row.
strtotime: http://us3.php.net/manual/en/function.strtotime.php
Hope this helps. :)