I'm first time trying to use dlookup function in access as below but I get blank output.
select dlookup ("quantity","test","series > 2000") from test
This is test table
id series quantity
1 1000 25
2 2000 33
3 3000 44
4 4000 55
5 5000 66
6 6000 77
I thought the above query will display all records from the table below which has series more than 2000 i.e. as below but it displays blank result.
id series quantity
3 3000 44
4 4000 55
5 5000 66
6 6000 77
I'm not sure if my syntax is incorrect or anything else. I already double checked my syntax from various sources though.
DLookup() returns a single value, which is not what I think you want. Just put your selection constraint in the WHERE clause.
SELECT id, series, quantity
FROM test
WHERE series > 2000;
Related
I have parsing Queries with below references
link1 - SET and Select Query combine Run in a Single MySql Query to pass result in pentaho
link2
Input will be shown in below Col1 showing ,In #input in the above reference link i am considering only 1 records and applying parsing logic for each cell , but issue is with multiple rows (n rows) and combining result with parsing logic.
Col1
--------------
22:4,33:4
33:6,89:7,69:2,63:2
78:6
blank record
22:6,63:1
I want to create single Query for same as in reference link i asked for.
Expected Output
xyz count
------------
22 10
33 10
89 7
69 2
63 3
78 6
I tried solutions Passing values with this conditions
where condition pass 1 by 1 col1 in (my query)
MAX (col1)
group_concat
but i am not getting expected output to fit this all things in a single query.
I finally found solution for my question. and group_concat worked for this
#input= (select group_concat(Col1) from (select Col1 from table limit 10)s);
group_concat will merge all the rows of Col1 into comma seperated string
22:4,33:4,33:6,89:7,69:2,63:2,78:6,blank record,22:6,63:1
as we have now single string we can apply same logic as shown in link 1
we can replace blank record with REPLACE command and neglect it.
Output after using logic from link1 result
xyz count
------------
22 4
33 4
33 6
89 7
69 2
63 2
78 6
22 6
63 1
Just use Group by
select xyz,sum(count) from (select link1 output)s group by xyz;
will give you Final Output
xyz count
------------
22 10
33 10
89 7
69 2
63 3
78 6
I'm just stuck with this issue atm and I'm not 100% sure how to deal with it.
I have a table where I'm aggregating data on week
select week(create_date),count(*)
from user
where create_date > '2015-02-01'
and id_customer between 9 and 17
group by week(create_date);
the results that I'm getting have missing values in the count, as shown below
5 334
6 376
7 394
8 405
9 504
10 569
11 709
12 679
13 802
14 936
15 1081
16 559
21 1
24 9
25 22
26 1
32 3
34 1
35 1
For example here from 16 to 21 there a obviously 4 values missing I would like these values to be included and count to be 0. I want this because I want the weeks to be matching with other metrics as we are outputting them in an excel file for internal analysis.
Any help would be greatly appreciated.
The problem is that an sql query cannot really produce data that is not there at all.
You have 3 options:
If you have data for each week in your entire table for the period you are querying, then you can use a self join to get the missing weeks:
select week(t1.create_date), count(t2.id_customer)
from customer t1
left join customer t2 on t1.id_customer=t2.id_customer and t1.create_date=t2.create_date and t2.id_customer between 9 and 17
where t1.create_date > '2015-02-01'
group by week(t1.create_date)
If you have missing weeks from the customer table as whole, then create a helper table that contain week numbers from 1 or 0 (depending on mysql config) to 53 and do a left join to this helper table.
Use a stored procedure that loops through the results of your original query and inserts the missing data in the resultset using a temporary table and then returns the extended dataset as result.
The problem is that there is no data matching your criteria for the missing weeks. A solution will be to join from a table that has all week numbers. For example if you create a table weeknumbers with one field weeknumber containing all the numbers from 0 to 53 you can use something like this
select weeknumber,count(user.*)
from weeknumbers left join user on (weeknumbers.weeknumber=week(user.create_date)
and user.create_date > '2015-02-01'
and user.id_customer between 9 and 17)
group by weeknumber;
Additionaly you might want to limit the week numbers you do not want to see.
The other way is to do it in the application.
I'm running a site with user ranking-list based on elo-rating.
I want to provide more statistics to users and I have pretty much covered, but cant really figure out how to make queries for these ones.
Players highest ranking points
Players ranking points history (for graph)
MySQL db has two tables for statistics: ranking_statistics which holds overall statistics:
id, ranking, wins, losses, draws, total6m, total8m, total10m
and ranking_matches which holds statistics for matches played:
id, home_id, away_id, home_ranking, away_ranking, home6m, away6m, home8m, away8m, home10m, away10m, datetime
Here is some sample data from ranking_matches:
46 442 456 30 -30 6 6 5 3 3 4 2013-10-14 21:22:58
54 456 480 34.0391 -34.0391 6 4 6 4 2 1 2013-10-16 17:33:37
55 473 475 30 -30 9 9 7 8 6 4 2013-10-17 03:06:41
and from ranking_statistics:
442 1029.97 7 2 6 120 89 55
456 1003.93 6 2 5 99 84 65
I would want to retrieve players highest ranking points on history (ranking_statistics.ranking holds current points) and that could be retrieved from ranking_matches by quering all matches with players id as home or away and then calculating all ranking changes with highest score remembered (starting points is 1000). With this query, a graph of points history would be drawn also.
I have tried to understand how this is done but could not get it by myself and there doesnt seem to be any similar questions posted (or atleast I did not found any)
Results could be also calculated with PHP because all the data is output with it.
Sample output:
Player id: 442
Current rating: 1029.97
Highest rating: 1054.32 (on 10-23-2013)
For history graph, 2 values need to be retrieved to be able to draw a history line graph, date and rankingpoints.
Let say i want to store several dataset ie
78 94 33 22 14 55 18 10 11
44 59 69 79 39 49 29 19 39
And later on i would like to be able run queries that will determine the frequency of certain number. What would be the best way to this? What would be table structure to make a fast query.
Please be specific as you can be.
To get the counts, you can run a query such as:
SELECT value, COUNT(*) from table_of_values GROUP BY value
Placing an index on the single integer value column is pretty much all you can do to speed that up.
You could of course also just keep a table with every two-digit value and a count. You will have to pre-fill the table with zero counts for every value.
Then increment the count instead of inserting:
UPDATE table_of_values SET count = count + 1 WHERE value = (whatever)
Considering the following table
I have a large table from which I can query to get the following table
type no of times type occurs
101 450
102 562
103 245
111 25
112 28
113 21
Now suppose I wanted to get a table which shows me the sum of no of times type occurs
for type starting with 1 then starting with 10,11,12,13.......19 then starting with 2, 20,21, 22, 23...29 and so on.
Something like this
1 1331 10 1257
11 74
12 ..
13 ..
.. ..
2 ... 20 ..
21 ..
Hope I am clear
Thanks
You really have two different queries:
SELECT [type]\100 AS TypePart, Count(t.type) AS CountOftype
FROM t
GROUP BY [type]\100;
And:
SELECT [type]\100 AS TypePart, [type] Mod 100 AS TypeEnd,
Count(t.type) AS CountOftype
FROM t
GROUP BY [type]\100, [type] Mod 100;
Where t is the name of the table.
Here on the first query i am getting something like this
utypPart CountOftype
1 29
2 42
3 46
4 50
5 26
6 45
7 33
9 1
it is giving me how many utyp are starting with 1 2 and so on
but whai i want is the sum of no of times those types occur for the utyp .