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Find total count based of values from another table
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Closed 2 years ago.
I've one table named "history" (Column Names are: ID, Records, Stage, Date) where I've the following records:
1 Record1 Stage1 Date
2 Record2 Stage1 Date
3 Record3 Stage1 Date
4 Record1 Stage2 Date
all that Records having some priority saved in master table named as "Records" (Column names are: id, Record, Stagename, date) like as shown below
1 Record1 High Date
2 Record2 Low Date
3 Record3 Medium Date
upto more than 100+ records
So i want to show the COUNT of High Low and Medium
Desired Output:
[#] For Stage 1
High - 1
Low - 1
Medium -1
[#] For Stage 2
High - 1
Low - 0
Medium - 0
Could you please help me into this?
Here what my code is:
$stagename = "Stage 1";
$query= $conn->prepare("SELECT count(*) FROM history WHERE stagename=?");
$stmt->execute(array($getstagename));
$count= $stmt->fetchColumn();
I'm guessing the column names (since you didn't include them), but the query should go like this:
select
h.stage,
r.priority,
count(*)
from history h
join records r on r.record_name = h.record_name
group by h.stage, r.priority
order by h.stage, r.priority
Related
Is there a way to use an Over and Intersect function to get the average sales for the first 3 periods (not always consecutive months, sometimes a month is skipped) for each Employee?
For example:
EmpID 1 is 71.67 ((80 + 60 + 75)/3) despite skipping "3/1/2007"
EmpID 3 is 250 ((350 + 250 + 150)/3).
I'm not sure how EmpID 2 would work because there are just two data points.
I've used a work-around by calculated column using DenseRank over Date, "asc", EmpID and then used another Boolean calculated column where DenseRank column name is <= 3, then used Over functions over the Boolean=TRUE column but I want to figure the correct way to do this.
There are Last 'n' Period functions but I haven't seen anything resembling a First 'n' Period function.
EmpID Date Sales
1 1/1/2007 80
1 2/1/2007 60
1 4/1/2007 75
1 5/1/2007 30
1 9/1/2007 100
2 2/1/2007 200
2 3/1/2007 100
3 12/1/2006 350
3 1/1/2007 250
3 3/1/2007 150
3 4/1/2007 275
3 8/1/2007 375
3 9/1/2007 475
3 10/1/2007 300
3 12/1/2007 200
I suppose the solution depends on where you want this data represented, but here is one example
If((Rank([Date],"asc",[EmpID])<=3) and (Max(Rank([Date],"asc",[EmpID])) OVER ([EmpID])>=3),Avg([Sales]) over ([EmpID]))
You can insert this as a calculated column and it will give you what you want (assuming your data is sorted by date when imported).
You may want to see the row numbering, and in that case insert this as a calculated column as well and name it RN
Rank([Date],"asc",[EmpID])
Explanation
Rank([Date],"asc",[EmpID])
This part of the function is basically applying a row number (labeled as RN in the results below) to each EmpID grouping.
Rank([Date],"asc",[EmpID])<=3
This is how we are taking the top 3 rows regardless if Months are skipped. If your data isn't sorted, we'd have to create one additional calculated column but the same logic applies.
(Max(Rank([Date],"asc",[EmpID])) OVER ([EmpID])>=3)
This is where we are basically ignoring EmpID = 2, or any EmpID who doesn't have at least 3 rows. Removing this would give you the average (dynamically) for each EmpID based on their first 1, 2, or 3 months respectively.
Avg([Sales]) over ([EmpID])
Now that our data is limited to the rows we care about, just take the average for each EmpID.
#Chris- Here is the solution I came up with
Step 1: Inserted a calculated column 'rank' with the expression below
DenseRank([Date],"asc",[EmpID])
Step 2: Created a cross table visualization from the data table and limited data with the expression below
I have 1 table, that has records by date. I need to compare data from year 1 to year 2 (last year), but in some cases a few records in year 1 don't exist in year 2 and some in year 2 do not exist in year 1.
I only care about those that match. my structure is:
F_DATE F_TEXT1 F_TEXT2 F_NUMBER1 F_NUMBER2
2014-01-01 bob sue 19 12
2013-04-19 bob sue 12 11
2013-06-01 bob jane 5 6
2014-11-28 jane bob 4 4
2014-03-12 mike bob 8 1
so in the above example only care about the records that contain bob + sue.
I can identify records by concat(F_TEXT1,F_TEXT2) as f_compare to get bobsue i can then count on this field having count(*) > 1 but doing this doesn't work well because F_DATE is unique to the pairing, and F_NUMBER1 and F_NUMBER2 are fundamental for further processing.
I am joining to another table, which has a F_LABEL for the years and a Start Date (F_SDATE) and End Date (F_EDATE) column to provide a nice label for the years.
I am having difficulty getting my records into a query so i can the process them further.
I have tried to select everything i need - this query gives the extra records from year 1 and year 2. and i also select a F_DATE from T_SOMETABLE which is basically for config so this query can be updated to compare year 3 to 4 etc by changing F_SOMEVALUE.
SELECT F_LABEL, F_TEXT1, F_TEXT2, F_NUMBER1, F_NUMBER2, fix
FROM (
SELECT b.F_LABEL, a.F_TEXT1, a.F_TEXT2, a.F_HGOALS, a.F_AGOALS,
concat(F_HOME,'-',F_AWAY) as fix FROM all_records a, some_labels b
WHERE a.F_DATE > b.F_SDATE
AND a.F_DATE < b.F_EDATE
AND a.F_DATE > (SELECT F_DATE FROM T_SOMETABLE WHERE F_SOMEVALUE='1')
UNION ALL
SELECT F_LABEL, F_TEXT1, F_TEXT2, F_NUMBER1, F_NUMBER2,
concat(F_TEXT1,'-',F_AWAY) as fix
FROM all_records a, some_labels b
WHERE a.F_DATE > b.F_SDATE
AND a.F_DATE < b.F_EDATE
AND a.F_DATE > (SELECT F_DATE FROM T_SOMETABLE WHERE F_SOMEVALUE='2')
AND a.F_DATE < (SELECT F_DATE FROM T_SOMETABLE WHERE F_SOMEVALUE='1')
) z
ORDER BY F_TEXT1, F_TEXT2, F_LABEL
I can't get my head round select from year 2 where the concat (above) exists in year 1 and then selecting the F_LABEL, F_TEXT1, F_TEXT2, F_NUMBER1 and F_NUMBER2from both years into one table.
Can you help point me in the right direction?
Bonus points if this query can go into a VIEW (nested statements don't help here) so the query/table doesn't need to be recreated every time a new record is added.
The query needs to be perform well as the output would appear on a webpage.
It is difficult to give a precise answer but, in order to compare a year with the previous one, you need to join your table with itself (t1 and t2 below are two occurrences of yourtable), to form a query like this:
SELECT ...
FROM yourtable t1, yourtable t2
WHERE (t1.F_TEXT1 = t2.F_TEXT1
OR t1.F_TEXT2 = t2.F_TEXT2)
AND YEAR(t1.F_DATE) = YEAR(t2.F_DATE) - 1
Have a existing table of results like this;
race_id race_num racer_id place
1 0 32 2
1 1 32 3
1 2 32 1
1 3 32 6
1 0 44 2
1 1 44 2
1 2 44 2
1 3 44 2
etc...
Have lots of PHP scripts that access this table output the results in a nice format.
Now I have a case where I need to output the results for only certain race_nums.
So I have created this table races_included.
race_view race_id race_num
Day 1 1 0
Day 1 1 1
Day 2 1 2
Day 2 1 3
And can use this query to get the right results.
SELECT racer_id, place from results WHERE race_id=1
AND race_num IN
(SELECT race_num FROM races_included WHERE race_id='1' AND race_view='Day 1')
This is great but I only need this feature for a few races and to have it work in a compatible mode for the simple case show all races. I need to add alot of rows to the races_included table. Like
race_view race_id race_num
All 1 0
All 1 1
All 1 2
All 1 3
95% of my races don't use the daily feature.
So I am looking for a way to change the query so that if for race 1 there are no records in the races_included table it defaults to all races. In addition I need it to be close the same execution speed as the query without the IN clause, because this query Or variations of it are used a lot.
One way that does work is to redefine the table as races_excluded and use NOT IN. This works great but is a pain to manage the table when races are added or deleted.
Is there a simple way to use EXISTS and IN in tandem as a subquery to get the desired results? Or some other neat trick I am missing.
To clarify I have found a working but very slow solution.
SELECT * FROM race_results WHERE race_id=1
AND FIND_IN_SET(race_num, (SELECT IF((SELECT Count(*) FROM races_excluded
WHERE rid=1>0),(SELECT GROUP_CONCAT(rnum) FROM races_excluded
WHERE rid=1 AND race_view='Day 1' GROUP BY rid),race_num)))
It basically checks if any records exists for that race_id and if not return a set equal to the current race_num and if yes returns a list of included race nums.
You can do this by using or in the subquery:
SELECT racer_id, plac
from results
WHERE race_id = 1 AND
race_num IN (SELECT race_num
FROM races_included
WHERE race_id = '1' AND (race_view = 'Day 1' or raw_view = 'ANY')
);
In mysql, I need a query that returns the quantity of repeated values in the field "Info" of my table "Log".
Table Log:
ID_Log User Info
1 1 3
2 1 3
3 1 3
4 1 5
5 1 6
6 1 6
7 1 7
8 1 8
9 1 8
The query should return "4" (Info 3 appears three times, Info 6 appears two times, Info 8 appears two times).
Any suggestions?
You can get the number of values that have already appeared by using a simple subtraction. Subtract the number of distinct values from the total number of rows:
select count(*) - count(distinct info)
from log;
The difference is the number that "repeat".
This should work. Group the values of info together and only keep the results where the number of occurrences minus 1 is greater than 0. Then sum the numbers of occurrences.
select sum(repeats)
from (SELECT Info, count(*) - 1 AS repeats
FROM Log
GROUP BY Info
HAVING repeats > 0)
I've read similar questions here on stackoverflow, but the OP's table structure is never quite the same as mine, so the answer doesn't work for me. The posts I've read are only trying to GROUP BY one column as opposed to two. I'm using MySQL, latest stable release.
Here's my table "reference":
id formatID referenceTime
1 1 2011-6-12 12:40
2 2 2011-6-12 1:04
3 4 2011-6-12 1:03
4 2 2011-6-12 15:20
5 3 2011-6-12 9:30
6 3 2011-6-12 2:55
7 5 2011-6-12 13:15
8 1 2011-6-12 12:32
(etc)
I want to create a query that show how many of each type of format occurred by hour of day. The point of this is to see what is the busiest time of day. I am trying to write a query that will create output that I can use for some simple graph web apps (Highcharts.js). I want it to look like this:
Timeofday Subgroup Count
12AM 1 2
12AM 2 6
12AM 3 7
12AM 4 2
12AM 5 0
1AM 1 3
1AM 2 3
1AM 3 0
1AM 4 0
1AM 5 1
(etc)
I'm using this query:
SELECT date_format(referenceTime,'%I %p') AS timeofday,
reference.referenceFormatID AS subgroup,
count(*) AS count
FROM reference
GROUP BY timeofday,subgroup ASC
However, the output skips "rows" where the count equals zero and so ends up looking like this:
Timeofday Subgroup Count
12AM 1 2
12AM 2 6
1AM 3 7
1AM 4 2
1AM 5 1
3AM 1 3
6AM 2 3
7AM 3 1
7AM 4 1
9AM 5 1
(etc)
I need those zeros to be able to create a properly formatted data series for my app.
The LEFT JOIN method where you put all the times into a second table isn't working for me because I am grouping by two different columns. Apparently, the LEFT JOIN criteria is satisfied as long as each hour shows up somewhere in the output table, but I need each hour to appear for each format.
Any suggestions?
You have two options, either create a lookup table with the possible hours in it, or use strange query involving the dual table and union to get the values that you are looking for.
In the first case, you would have a table with maybe a single field for the moment, let's just call it hours and the field is timeofday.
In the hours timeofday, you would have the following data:
timeofday
12AM
1AM
2AM
....
Then your query is as simple as
SELECT hours.timeofday,
reference.referenceFormatID AS subgroup,
count(reference.referenceFormatID) AS count
FROM hours
LEFT JOIN reference on date_format(referenceTime,'%I %p') = hours.timeofday
GROUP BY hours.timeofday,subgroup ASC
EDIT
To get all combinations, you would also need a formats table with all the possible formatIDs as was mentioned by rfausak. You could also do this with a distinct, but let's just assume that you have this table, let's call it formats. Again, this table could have a single column.
Part 1 is to get all the combinations:
SELECT hours.timeofday,
formats.ID
from hours
join formats
This is a Cartesian join that would merge all possible hours and format IDs.
Now we add in the LEFT JOIN
SELECT hours.timeofday,
formats.ID,
count(reference.subgroup)
FROM hours
JOIN formats
LEFT JOIN reference on date_format(referenceTime,'%I %p') = hours.timeofday
AND reference.subgroup = formats.ID
GROUP BY hours.timeofday,formats.ID ASC
If you try to do it using a DUAL table look up, you can use a method similar to generate days from date range