I need help getting the User which has an 'IN' and 'Out' in Column isIN. If the user has an IN and OUT do not select them in the list. I need to select the user who has only had an IN. Please I need help. Thanks in advance.
This is the table:
| Users | IsIN |
|:------------------:|:-----:|
| MHYHDC61TMJ907867 | IN |
| MHYHDC61TMJ907867 | OUT |
| MHYHDC61TMJ907922 | IN |
| MHYHDC61TMJ907922 | OUT |
| MHYHDC61TMJ907923 | IN |
| MHYHDC61TMJ907923 | OUT |
| MHYHDC61TMJ907924 | IN | - I need to get only this row
| MHYHDC61TMJ907925 | IN |
| MHYHDC61TMJ907925 | OUT |
| MHYHDC61TMJ908054 | IN | - I need to get only this row
| MHYHDC61TMJ908096 | IN | - I need to get only this row
| MHYHDC61TMJ908109 | IN | - I need to get only this row
Need to get the result like
| Users | IsIN |
|:------------------:|:-----:|
| MHYHDC61TMJ907924 | IN |
| MHYHDC61TMJ908054 | IN |
| MHYHDC61TMJ908096 | IN |
| MHYHDC61TMJ908109 | IN |
I tried using this query and sample query below but it doesn't work.
select s.[Users], s.[isIn] [dbo].[tblIO] s
where not exists (
select 1
from [dbWBS].[dbo].[tblIO] s2
where s2.[Users] = s.[Users] and s2.isIn = 'IN'
);
You can use not exists:
select s.*
from sample s
where not exists (select 1
from sample s2
where s2.user = s.user and s2.inout = 'OUT'
);
If you want only users that meet the condition (and not the full rows):
select user
from sample s
group by user
having min(inout) = max(inout) and min(inout) = 'IN';
Bearing in mind that an 'OUT' IsIn must be always preceded by an 'IN' record, you could use a query like this:
select s.Users, 'IN' as IsIn
from sample s
group by s.Users
having count(distinct s.IsIn) = 1
I have a one tables in Postgresql and cannot find how to build a query.
The table contains columns nr_serii and deleteing_time. I trying to count nr_serii and substract from this positions with deleting_time.
My query:
select nr_serii , count(nr_serii ) as ilosc,count(deleting_time) as ilosc_delete
from MyTable
group by nr_serii, deleting_time
output is:
+--------------------+
| "666666";1;1 |
| "456456";1;0 |
| "333333";3;0 |
| "333333";1;1 |
| "111111";1;1 |
| "111111";3;0 |
+--------------------+
The part of table with raw data:
+--------------------------------+
| "666666";"2020-11-20 14:08:13" |
| "456456";"" |
| "333333";"" |
| "333333";"" |
| "333333";"" |
| "333333";"2020-11-20 14:02:23" |
| "111111";"" |
| "111111";"" |
| "111111";"2020-11-20 14:08:04" |
| "111111";"" |
+--------------------------------+
And i need substract column ilosc and column ilosc_delete
example:
nr_serii:333333 ilosc:3-1=2
Expected output:
+-------------+
| "666666";-1 |
| "456456";1 |
| "333333";2 |
| "111111";2 |
| ... |
+-------------+
I think this is very simple solution for this but i have empty in my head.
I see what you want now. You want to subtract the number where deleting_time is not null from the ones where it is null:
select nr_serii,
count(*) filter (where deleting_time is null) - count(deleting_time) as ilosc_delete
from MyTable
group by nr_serii;
Here is a db<>fiddle.
I have a table containing geological resource information.
| Property | Zone | Area | Category | Tonnage | Au_gt | Au_oz |
|----------|------|-------------|-----------|---------|-------|-------|
| Ket | Eel | Open Pit | Measured | 43400 | 5.52 | 7700 |
| Ket | Eel | Open Pit | Inferred | 51400 | 5.88 | 9700 |
| Ket | Eel | Open Pit | Indicated | 357300 | 6.41 | 73600 |
| Ket | Eel | Underground | Measured | 3300 | 7.16 | 800 |
| Ket | Eel | Underground | Inferred | 14700 | 6.16 | 2900 |
| Ket | Eel | Underground | Indicated | 168100 | 8.85 | 47800 |
I would like to summarize the data so that it can be read more easily by our clients.
| Property | Zone | Category | Open_Pit_Tonnage | Open_Pit_Au_gt | Open_Pit_Au_oz | Underground_tonnage | Underground_au_gt | Underground_au_oz | Combined_tonnage | Combined_au_gt | Combined_au_oz |
|----------|------|-----------|------------------|----------------|----------------|---------------------|-------------------|-------------------|------------------|----------------|----------------|
| Ket | Eel | Measured | 43,400 | 5.52 | 7,700 | 3,300 | 7.16 | 800 | 46,700 | 5.64 | 8,500 |
| Ket | Eel | Indicated | 357,300 | 6.41 | 73,600 | 168,100 | 8.85 | 47,800 | 525,400 | 7.19 | 121,400 |
| Ket | Eel | Inferred | 51,400 | 5.88 | 9,700 | 14,700 | 6.16 | 2,900 | 66,100 | 5.94 | 12,600 |
I'm fairly new to pivot tables. How could I write a query to translate and summarize the data?
Thanks!
If your Oracle version is 11.1 or higher (which it should be if you are a relatively new user!) then you can use the PIVOT operator, as shown below.
Note that the result of the PIVOT operation can be given an alias (I used p) - this makes it easier to write the SELECT clause.
I assumed the name of your table is geological_data - replace it with your actual table name.
select p.*
, open_pit_tonnage + underground_tonnage as combined_tonnage
, open_pit_au_gt + underground_au_gt as combined_au_gt
, open_pit_au_oz + underground_au_oz as combined_au_oz
from geological_data
pivot (sum(tonnage) as tonnage, sum(au_gt) as au_gt, sum(au_oz) as au_oz
for area in ('Open Pit' as open_pit, 'Underground' as underground)) p
;
Conditional aggregation is a simple method:
select Property, Zone, Category,
max(case when area = 'Open Pit' then tonnage end) as open_pit_tonnage,
max(case when area = 'Open Pit' then Au_gt end) as open_pit_Au_gt,
max(case when area = 'Open Pit' then Au_oz end) as open_pit_Au_ox,
max(case when area = 'Underground' then tonnage end) as Underground_tonnage,
max(case when area = 'Underground' then Au_gt end) as Underground_Au_gt,
max(case when area = 'Underground' then Au_oz end) as Underground_Au_ox
from t
group by Property, Zone, Category
SQL Server PIVOT operator is used to convert rows to columns.
Goal is to turn the category names from the first column of the output into multiple columns and count the number of products for each category
This query reference can be taken into account for you above table:
SELECT * FROM
(
SELECT
category_name,
product_id,
model_year
FROM
production.products p
INNER JOIN production.categories c
ON c.category_id = p.category_id
) t
PIVOT(
COUNT(product_id)
FOR category_name IN (
[Children Bicycles],
[Comfort Bicycles],
[Cruisers Bicycles],
[Cyclocross Bicycles],
[Electric Bikes],
[Mountain Bikes],
[Road Bikes])
) AS pivot_table;
Consider the following sample table("Customer") with these records
=========
Customer
=========
-----------------------------------------------------------------------------------------------
| customer-id | att-a | att-b | att-c | att-d | att-e | att-f | att-g | att-h | att-i | att-j |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| customer-1 | att-a-7 | att-b-3 | att-c-10 | att-d-10 | att-e-15 | att-f-11 | att-g-2 | att-h-7 | att-i-5 | att-j-14 |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| customer-2 | att-a-9 | att-b-7 | att-c-12 | att-d-4 | att-e-10 | att-f-4 | att-g-13 | att-h-4 | att-i-1 | att-j-13 |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| customer-3 | att-a-10 | att-b-6 | att-c-1 | att-d-1 | att-e-13 | att-f-12 | att-g-9 | att-h-6 | att-i-7 | tt-j-4 |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| customer-19 | att-a-7 | att-b-9 | att-c-13 | att-d-5 | att-e-8 | att-f-5 | att-g-12 | att-h-14 | att-i-13 | att-j-15 |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
I have these records and many more records dumped into SQL database and wanted to find top 10 similar customer based on the attribute value. For example customer-1 and customer-19 have atleast one column value matching .i.e "att-a-7" so the output should give me 2 customer-id's or top similar customer that are customer-1 and customer-19.
P.S - there can be one or more columns similar across rows.
I'm using windowing technique to find top 10 similar customer and im not sure if I'm correct.
following is my approach I used in my query :
row_number() over (partition by att-a, att-b,..,att-j order by customer-id) as customers
is this correct. ?
I am casting a real to an int and a float to an int and comparing the two like this:
where
cast(a.[SUM(PAID_AMT)] as int)!=cast(b.PAID_AMT as int)
but i am still getting results where the two are equal. for example:
+-----------+-----------+------------+------------+----------+
| accn | load_dt | pmtdt | sumpaidamt | Bpaidamt |
+-----------+-----------+------------+------------+----------+
| A133312 | 6/7/2011 | 11/28/2011 | 98.39 | 98.39 |
| A445070 | 6/2/2011 | 9/22/2011 | 204.93 | 204.93 |
| A465606 | 5/19/2011 | 10/19/2011 | 560.79 | 560.79 |
| A508742 | 7/12/2011 | 10/19/2011 | 279.65 | 279.65 |
| A567730 | 5/27/2011 | 10/24/2011 | 212.76 | 212.76 |
| A617277 | 7/12/2011 | 10/12/2011 | 322.02 | 322.02 |
| A626384 | 6/16/2011 | 10/21/2011 | 415.84 | 415.84 |
| AA0000044 | 5/12/2011 | 5/23/2011 | 197.38 | 197.38 |
+-----------+-----------+------------+------------+----------+
here is the full query:
select
a.accn,
a.load_dt,
a.pmtdt,
a.[SUM(PAID_AMT)] sumpaidamt,
sum(b.paid_amt) Bpaidamt
from
[MILLENNIUM_DW_DEV].[dbo].[Millennium_Payment_Data_May2011_July2012] a
join
F_PAYOR_PAYMENTS_DAILY b
on
a.accn=b.ACCESSION_ID
and
a.final_rpt_dt=b.FINAL_REPORT_DATE
and
a.load_dt=b.LOAD_DATE
and
a.pmtdt=b.PAYMENT_DATE
where
cast(a.[SUM(PAID_AMT)] as int)!=cast(b.PAID_AMT as int)
group by
a.accn,
a.load_dt,
a.pmtdt,
a.[SUM(PAID_AMT)]
what am i doing wrong? how do i return only records that are NOT equal?
I don't see why there is an issue.
The query is returning the sum of the payments in b (sum(b.paid_amt) Bpaidamt). The where clause is comparing individual payments. This just means that there is more than one payment.
Perhaps your intention is to have a HAVING clause instead:
having cast(a.[SUM(PAID_AMT)] as int)!=cast(sum(b.PAID_AMT) as int)
You can do a round and a cast statement.
cast(round(sumpaidamt,2) as money) <> cast(round(Bpaidamt,2) as money)
Sql Fiddle showing how it would work http://sqlfiddle.com/#!3/4eb79/1