I have two tables tbl_DaysWeeksMonths (Left Table) and tbl_Telephony (Right Table). tbl_DaysWeeksMonths has a record of every day of the year with columns (Row_Date/Week/Month) whilst tbl_Telephony has telephony data for hundreds of agents by day with columns (row_date/agent/calls/talk time)(Note: Each agent only has records for 5-6 days of the week instead of everyday).
I want to join the two tables so that each agent has a record for every day of the week regardless if they took calls on a day or not. I want to display blank records (except for the date field) for days which consultants did not take calls. E.g:
## Date ## ## Agent ## ## Calls ## ## Talk Time ##
1. 26/05/2012 | James | 40 | 560
2. 27/05/2012 | James | |
3. 28/05/2012 | James | 34 | 456
4. 29/05/2012 | James | |
5. 30/05/2012 | James | 40 | 643
6. 31/05/2012 | James | 36 | 345
7. 01/06/2012 | James | 31 | 160
I'm trying to use the below code but I don't think it's correct. Any suggestions on a better code to use. Please help.
SELECT tbl_DaysWeeksMonths.Row_Date,
[tbl_Telephony].Consultant,
[tbl_Telephony].i_acdtime
FROM tbl_DaysWeeksMonths
LEFT JOIN [tbl_Telephony]
ON tbl_DaysWeeksMonths.Row_Date = [tbl_Telephony].row_date;
Step 1 -- Assuming you have a table (say, named Consultants) that lists each distinct consultant, create a query (say, named Consultant Days) that generates all possible combinations of days and consultants. It might look something like this:
SELECT [Consultants].Consultant, tbl_DaysWeeksMonths.Row_Date
FROM [Consultants], tbl_DaysWeeksMonths;
If you don't have a Consultants table, you could substitute it with a query that selects the distinct consultants listed in tbl_Telephony. In other words, you can create a Consultants query that looks something like this:
SELECT DISTINCT Consultant FROM [tbl_Telephony];
Step 2 -- Create a query that outer joins tbl_Telephony to Consultant Days. It might look something like this:
SELECT [Consultant Days].Row_Date, [Consultant Days].Consultant, [tbl_Telephony].i_acdtime
FROM [Consultant Days]
LEFT JOIN [tbl_Telephony]
ON [Consultant Days].Consultant = [tbl_Telephony].Consultant
AND [Consultant Days].Row_Date = [tbl_Telephony].row_date;
This also assumes that the row_date values in tbl_Telephony match the Row_Date values in tbl_DaysWeeksMonths -- in other words, that row_date values in tbl_Telephony are whole days (that is, do not contain a time-of-day component). This also assumes that i_acdtime values in tbl_Telephony are the total talk time for the given consultant and day (as opposed to the talk time for a given call). Presumably there is another column in tbl_Telephony that will give the the total number of cals for the given consultant and day which you could add to the query to get the "Calls" column you said you wanted your question.
You can also use this query.
SELECT tbl_DaysWeeksMonths.Row_Date, [tbl_Telephony].Consultant, [tbl_Telephony].i_acdtime
FROM tbl_DaysWeeksMonths
LEFT OUTER JOIN [tbl_Telephony] ON tbl_DaysWeeksMonths.Row_Date = [tbl_Telephony].row_date;
Related
I'm trying to get the MOST recent date that comes before tom_temp.Begin_Time out of tbl_Trim_history.Comp. The SQL I'm using is:
SELECT
Tom_Temp2.feeder,
Tom_Temp.CauseType,
Tom_Temp.RootCause,
Tom_Temp.Storm_Name_Thunder,
Tom_Temp.DeviceGroup,
tbl_Trim_History.[COMP],
Tom_Temp.[Begin_Time]
FROM Tom_Temp2
LEFT JOIN (Tom_Temp
LEFT JOIN tbl_Trim_History
ON Tom_Temp.feeder = tbl_Trim_History.CIRCUIT_ID)
ON Tom_Temp2.feeder = Tom_Temp.feeder
WHERE (((tbl_Trim_History.[COMP]) < [Tom_Temp].[Begin_Time]));
I'm having a hard time figuring out where I need to put my max() function in this statement in order to make sure I don't get back every single tbl_Trim_history.[COMP] that occurs prior to the tom_temp.Begin_Time date. I only want the most recent date from tbl_Trim_history.[COMP] that occurs BEFORE the tom_temp.begin_Time .... NOT every historical date record.
Any help you guys could give me would be awesome because I keep getting back sets that I can tell are not what I'm looking for / expecting.
Thanks everyone. I appreciate the feedback.
Edit in regard to the responses below:
Due to the character limits, I just edited the master post for you guys.
I can't really post the data as it is somewhat confidential, so the best I can do is give you an example. Also, this is access, but my background is MySQL. Sorry for the tags, I wasn't sure what was similar since the access tag just didn't seem to fit the question.
The Data being received are about 168 records. Someone pointed out that there is an inner join occurring here, but I wanted to indicate I'm actually using 3 different tables.
1 table contains my feeders,
Another contains a list of all outages that I am joining to using all my feeders contained in the first table
Then I have another table that contains all the trim history for each feeder. The outage table is joined to the trim table.
When I run the query above, I get data like this
feeder | comp | Begin_time
___________________________________________
123456 | 10/4/2012 | 3/3/2016 11:26:00AM
123456 | 10/17/2015 | 3/3/2016 11:26:00AM
456789 | 6/28/2008 | 9/20/2013 10:05AM
456789 | 12/1/2012 | 9/20/2013 10:05AM
456789 | 7/3/2013 | 9/20/2013 10:05AM
what I want is data like this:
feeder | comp | Begin_time
___________________________________________
123456 | 10/17/2015 | 3/3/2016 11:26:00AM
456789 | 7/3/2013 | 9/20/2013 10:05AM
where the comp date is the closest to date / time occuring BEFORE Begin_time date.
I tried this query:
SELECT Tom_Temp2.feeder, Tom_Temp.CauseType, Tom_Temp.RootCause, Tom_Temp.Storm_Name_Thunder, Tom_Temp.DeviceGroup, Max(tbl_Trim_History.COMP) AS MaxOfCOMP, Tom_Temp.Begin_Time
FROM Tom_Temp2
LEFT JOIN (Tom_Temp LEFT JOIN tbl_Trim_History ON Tom_Temp.feeder = tbl_Trim_History.CIRCUIT_ID) ON Tom_Temp2.feeder = Tom_Temp.feeder
GROUP BY Tom_Temp2.feeder, Tom_Temp.CauseType, Tom_Temp.RootCause, Tom_Temp.Storm_Name_Thunder, Tom_Temp.DeviceGroup, Tom_Temp.Begin_Time
HAVING (((Max(tbl_Trim_History.COMP))<[Tom_Temp].[Begin_Time]));
But of the 168 records I get back in my first query, I'm only getting back 20 records with this query.
The reason I know this is wrong is because some records are missing between the set of 168 and the set of 20. For example, I'd be missing any records for feeder 456789. However, I know this record should be returned because it's in my table of feeders that should be returned (Tom_Temp2).
After manually deleting unwanted rows of data, I know that I should get a record count of 85. So my most recent attempt to use the Max query is way off.
In my journey to learn SQL, I'm writing various queries on an old database of mine, but getting into more complex things, I want to make sure I'm not over engineering this. I have a table Agent, with different agents offering different prices for cities. Multiple agents can serve the same city, each with different prices. I wanted to run a query which would return the total cost of hiring all of the agents for any given city, ordered by the most expensive.
WITH orderedPrices AS (
SELECT SUM(agtFMPrice)
OVER (PARTITION BY agtCity)
AS IX FROM Agent)
SELECT IX
FROM orderedPrices
ORDER BY IX DESC
I found that doing it without the view returned by orderedPrices, it wouldn't order the prices (I assume because it's an aggregate function, or whatever they're called). Did I do this in the best way I could have, or could it be simplified?
Also, if you're feeling particularly bored, go ahead and give me a new assignment/query to do on this table. I could use the practice.
What you have written in English doesn't seem to quite match qhat you have written in SQL.
English:
- One record per City
- One field per record, showing the total cost of all associated agents
SQL:
- One record per Agent
- One field per record, showing the total cost of all agents in the same city
AgentID | agtCity | agtFMPrice
---------+---------+------------
1 | 1 | 10
2 | 1 | 20
3 | 2 | 30
4 | 2 | 10
5 | 2 | 25
Results of SQL version Results of English version
------------------------ ----------------------------
30 30
30 65
65
65
65
If you want the English version, I'd do this...
SELECT
agtCity,
SUM(agtFMPrice) AS IX
FROM
Agent
GROUP BY
agtCity
ORDER BY
SUM(agtFMPrice) DESC
To assist performance, the table could (should?) also have an Index on (agtCity)
I have the following "COMPANIES_BY_NEWS_REPUTATION" in my JavaDB database (this is some random data just to represent the structure)
COMPANY | NEWS_HASH | REPUTATION | DATE
-------------------------------------------------------------------
Company A | 14676757 | 0.12345 | 2011-05-19 15:43:28.0
Company B | 454564556 | 0.78956 | 2011-05-24 18:44:28.0
Company C | 454564556 | 0.78956 | 2011-05-24 18:44:28.0
Company A | -7874564 | 0.12345 | 2011-05-19 15:43:28.0
One news_hash may relate to several companies while a company can relate to several news_hashes as well. Reputation and date are bound to the news_hash.
What I need to do is calculate the average reputation of last 5 news for every company. In order to do that I somehow feel that I need to user 'order by' and 'offset' in a subquery as shown in the code below.
select COMPANY, avg(REPUTATION) from
(select * from COMPANY_BY_NEWS_REPUTATION order by "DATE" desc
offset 0 rows fetch next 5 row only) as TR group by COMPANY;
However, JavaDB allows neither ORDER BY, nor OFFSET in a subquery. Could anyone suggest a working solution for my problem please?
Which version of JavaDB are you using? According to the chapter TableSubquery in the JavaDB documentation, table subqueries do support order by and fetch next, at least in version 10.6.2.1.
Given that subqueries can be ordered and the size of the result set can be limited, the following (untested) query might do what you want:
select COMPANY, (select avg(REPUTATION)
from (select REPUTATION
from COMPANY_BY_NEWS_REPUTATION
where COMPANY = TR.COMPANY
order by DATE desc
fetch first 5 rows only))
from (select distinct COMPANY
from COMPANY_BY_NEWS_REPUTATION) as TR
This query retrieves all distinct company names from COMPANY_BY_NEWS_REPUTATION, then retrieves the average of the last five reputation rows for each company. I have no idea whether it will perform sufficiently, that will likely depend on the size of your data set and what indexes you have in place.
If you have a list of unique company names in another table, you can use that instead of the select distinct ... subquery to retrieve the companies for which to calculate averages.
I want a table structure which can store the details of the student like the below format.
If the student is in
10 th standard -> I need his aggregate % from 1st standard to 9th standard.
5 th standard -> I need his aggregate % from 1st standard to 4th standard.
1 st standard -> No aggregate % has to be displayed.
And the most important thing is ' we need to use only one table'. Please form a table structure with no redundant values.
Any ideas will be greatly appreciated......
No friends this is not a home work. This is asked in Oracle interview, conducted in Hyderabad day before yesterday '24th July, 2010',. He asked me the table structure.
He even did not asked me the query. He asked me how I will design the table. Please advice me.
id | name | grade | aggregate
This would do the trick, id is your primary key, name is students first last name, grade is what grade he is in and aggregate is aggregate % based on the grade.
Fro example some rows might be:
10 | Bill Cosby | 10 | 90
11 | Jerry Seinfeld | 4 | 60
Bill Cosby would have aggregate percent of 90 in grades 1-9, and jerry would have 60 in grades 1-3. In this case it is one table and boils down to you managing the rule of aggregation for this table, since it has to be one table.
If this is an interview question, it looks like they would like to check your knowledge on Nested Tables. Essentially you would have one column as roll number, and other column which is a nested table as Class and Percentage.
Yeah, so I'm filling out a requirements document for a new client project and they're asking for growth trends and performance expectations calculated from existing data within our database.
The best source of data for something like this would be our logs table as we pretty much log every single transaction that occurs within our application.
Now, here's the issue, I don't have a whole lot of experience with MySql when it comes to collating cumulative sum and running averages. I've thrown together the following query which kind of makes sense to me, but it just keeps locking up the command console. The thing takes forever to execute and there are only 80k records within the test sample.
So, given the following basic table structure:
id | action | date_created
1 | 'merp' | 2007-06-20 17:17:00
2 | 'foo' | 2007-06-21 09:54:48
3 | 'bar' | 2007-06-21 12:47:30
... thousands of records ...
3545 | 'stab' | 2007-07-05 11:28:36
How would I go about calculating the average number of records created for each given day of the week?
day_of_week | average_records_created
1 | 234
2 | 23
3 | 5
4 | 67
5 | 234
6 | 12
7 | 36
I have the following query which makes me want to murderdeathkill myself by casting my body down an elevator shaft... and onto some bullets:
SELECT
DISTINCT(DAYOFWEEK(DATE(t1.datetime_entry))) AS t1.day_of_week,
AVG((SELECT COUNT(*) FROM VMS_LOGS t2 WHERE DAYOFWEEK(DATE(t2.date_time_entry)) = t1.day_of_week)) AS average_records_created
FROM VMS_LOGS t1
GROUP BY t1.day_of_week;
Halps? Please, don't make me cut myself again. :'(
How far back do you need to go when sampling this information? This solution works as long as it's less than a year.
Because day of week and week number are constant for a record, create a companion table that has the ID, WeekNumber, and DayOfWeek. Whenever you want to run this statistic, just generate the "missing" records from your master table.
Then, your report can be something along the lines of:
select
DayOfWeek
, count(*)/count(distinct(WeekNumber)) as Average
from
MyCompanionTable
group by
DayOfWeek
Of course if the table is too large, then you can instead pre-summarize the data on a daily basis and just use that, and add in "today's" data from your master table when running the report.
I rewrote your query as:
SELECT x.day_of_week,
AVG(x.count) 'average_records_created'
FROM (SELECT DAYOFWEEK(t.datetime_entry) 'day_of_week',
COUNT(*) 'count'
FROM VMS_LOGS t
GROUP BY DAYOFWEEK(t.datetime_entry)) x
GROUP BY x.day_of_week
The reason why your query takes so long is because of your inner select, you are essentialy running 6,400,000,000 queries. With a query like this your best solution may be to develop a timed reporting system, where the user receives an email when the query is done and the report is constructed or the user logs in and checks the report after.
Even with the optimization written by OMG Ponies (bellow) you are still looking at around the same number of queries.
SELECT x.day_of_week,
AVG(x.count) 'average_records_created'
FROM (SELECT DAYOFWEEK(t.datetime_entry) 'day_of_week',
COUNT(*) 'count'
FROM VMS_LOGS t
GROUP BY DAYOFWEEK(t.datetime_entry)) x
GROUP BY x.day_of_week