I'm trying to solve this query where i need to find the the top balance at each base. Balance is in one table and bases are in another table.
This is the existing query i have that returns all the results but i need to find a way to limit it to 1 top result per baseID.
SELECT o.names.name t.accounts.bidd.baseID, MAX(t.accounts.balance)
FROM order o, table(c.accounts) t
WHERE t.accounts.acctype = 'verified'
GROUP BY o.names.name, t.accounts.bidd.baseID;
accounts is a nested table.
this is the output
Name accounts.BIDD.baseID MAX(T.accounts.BALANCE)
--------------- ------------------------- ---------------------------
Jerard 010 1251.21
john 012 3122.2
susan 012 3022.2
fin 012 3022.2
dan 010 1751.21
What i want the result to display is calculate the highest balance for each baseID and only display one record for that baseID.
So the output would look only display john for baseID 012 because he has the highest.
Any pointers in the right direction would be fantastic.
I think the problem is cause of the "Name" column. since you have three names mapped to one base id(12), it is considering all three records as unique ones and grouping them individually and not together.
Try to ignore the "Name" column in select query and in the "Group-by" clause.
SELECT t.accounts.bidd.baseID, MAX(t.accounts.balance)
FROM order o, table(c.accounts) t
WHERE t.accounts.acctype = 'verified'
GROUP BY t.accounts.bidd.baseID;
Related
I am trying to work with two tables on BigQuery. From table1 I want to find the accession ID of all records that are "World", and then from each of those accession numbers I want to create a column with every name in a separate row. Unfortunately, when I run this:
Select name
From `table2`
Where acc IN (Select acc
From `table1`
WHERE source = 'World')
Instead of getting something like this:
Acc1
Acc2
Acc3
Jeff
Jeff
Ted
Chris
Ted
Blake
Rob
Jack
Jack
I get something more like this:
row
name
1
Jeff
2
Chris
3
Rob
4
Jack
5
Jeff
6
Jack
7
Ted
8
Blake
Ultimately, I am hoping to download the data and somehow use python or something to take each name and count the number of times it shows up with each other name at a given accession number, and furthermore measure the degree to which each pairing is also found with third names in any given column, i.e. the degree to which they share a cohort. So I need to preserve the groupings which exist with each accession number, but I am struggling to find info on how one might do this.
Could anybody point me in the right direct for this, or otherwise is the way I am going about this wise if that is my end goal?
Thanks!
This is not a direct answer to the question you asked. In general, it is easier to handle multiple rows rather than multiple columns.
So, I would recommend that you put each acc value in a separate row and then list the names as an array:
select t2.acc, array_agg(t2.name order by t2.name) as names
from `table2` t2
where t2.acc in (Select t1.acc
From `table1` t1
where t1.source = 'World'
)
group by t2.acc;
Otherwise, you are going to have a challenge just naming the columns in your result set.
I have a very big transaction table on DB2 v11, and I need to query a subset of it as efficiently as possible. All I need is the total count of the set (not known in advance, it's based on criteria, lets say 1 day) and the ID of the first record, and the ID of the last record.
The old code was fetching the entire table, then just using the 1st record ID, and the last record ID, and size, and not making use of the rest. Now this code is timing out. It's a complex query of several joins.
IS there a way to just fetch the size of the set, 1st record, last record all in one select query ?
I've read that reordering the list in order to fetch the 1st record(so fetch with Desc, then change to Asc) is not efficient.
sample table 1 TRANSACTION_RECORDS:
tdID TIMESTAMP name
-------------------------------
123 2020-03-31 john
234 2020-03-31 dan
456 2020-03-01 Eve
675 2020-04-01 joy
sample table 2 TRANSACTION_TYPE:
invoiceId tdID account
------------------------------
897 123 abc
898 123 def
877 234 mnc
899 456 opp
Sample query
select Min(tr.transaction_id), Max(tr.transaction_id)
from TRANSACTION_RECORDS TR
join TRANSACTION_TYPE TT
on TR.tdID=tt.tdID
WHERE Date(TR.TIMESTAMP) = '2020-03-31'
group by tr.tdID
order by TR.tdID ASC
This results in multiple columns, (but it requires the group by)
123,123
234,234
456,456
What I want is:
123,456
As I mentioned in the comments, for this query you don't need Group BY and neither Order by, just do:
select Min(tr.transaction_id), Max(tr.transaction_id)
from TRANSACTION_RECORDS TR
join TRANSACTION_TYPE TT
on TR.tdID=tt.tdID
WHERE Date(TR.TIMESTAMP) = '2020-03-31'
It should work as expected
Here I am trying to get the record for my products where the # swab location in Main table matches the count of swab locations in swab Table and Users can checked off the Y/N to verify that the description of the locations are correct.
Here is the example of my 2 tables.
tblMainEquipment
Asset_ID EquipmentName Num_SwapLocations Verified
234 Saijimon 2 N
235 Pasquale 3 N
tblMainSwapLocations
Asset_ID Swap_location
234 Particle Cannon
234 RailGun
235 Particle Cannon
I use the following query to count the number of records, i avoided using a having query to combine both tables since it is not updatable.
qryMainSwapLocationCount
SELECT MSL.Asset_ID, Count(Asset_ID) AS [Count]
FROM tblMainSwapLocation AS MSL
GROUP BY MSL.Asset_ID;
This will give me the result of
qryMainSwapLocationCount
Asset_ID count
234 2
234 1
I used the following as a record source for my form to allow users to verify the inputs.
SELECT MEQ.Asset_ID, MEQ.Equipment_Name,MEQ.Num_swapLocations MEQ.Verified
FROM tblMainEquipment AS MEQ, qryMainSwapLocationCount AS MSLC
WHERE (((MEQ.Asset_ID)=[MSLC].[Asset_ID]) AND ((MEQ.Num_SwapLocations)=[MSLC].[Count]);
This result would be
tblMainEquipment
Asset_ID EquipmentName Num_SwapLocations Verified
234 Saijimon 2 N
However this record set is not editable. Is there any reasons for this?
I think you should put your table tblMainEquipment as your recordsource and bring all the fields from that on to your form:
Then insert an unbound textbox (perhaps close to your Num_SwapLocations field for easy comparison):
Then in this new textbox, put the following in the ControlSource:
=DCount("ASSET_ID","tblMainSwapLocations","ASSET_ID=" & [Asset_ID])
Then open your form and it should count the number of records in table tblMainSwapLocations that have the same Asset_ID as the record currently showing:
You'll then be able to update the Verified field in your tblMainEquipment table.
I have two tables that look roughly like this:
Airports
uniqueID | Name
0001 | Dallas
Runways
uniqueID | AirportID | Length
000101 | 0001 | 8000
I'm doing a join that looks like this:
SELECT Airports.Name, Runways.Length FROM Airports, Runways
WHERE Airports.uniqueID==Runways.AirportID
Obviously, each runway has exactly one airport, and each airport has 1..n runways.
For an airport with multiple runways, this gives me several rows, one for each runway at that airport.
I want a result set that contains ONLY the row for the longest runway, i.e. MAX(Length).
Sometimes, the Length is 0 for several runways in the database, because the source data is missing. In that case I only want one row with the Length = 0 obviously.
I've tried the approach laid out here: Inner Join table with respect to a maximum value but that's actually not helpful because that's like searching for the longest runway of all, not for the longest at one particular airport.
This seems to simple to be what you want but it seems to meet all the cases you've described...
SELECT A.Name, Max(R.Length)
FROM Airports A
INNER JOIN Runways R
on A.uniqueID=R.AirportID
Group by A.Name
This should give you the max runway for each airport.
If you need additional data elements then use the above as a inline view (Subquery within the joins) to limit the results sets to just those airports and their max runway.
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.