I have two Access tables. One table (table1) has a unique field, MyID and another table (table2) has several rows with MyID and another column, Data. I'd like to write an SQL statement that is similar to a foreach where all the values for MyID are selected and averaged from table2's Data and then updated in the MyID row under another field, Avg.
**Table1**
MyID
ID1
ID2
ID3
**Table2**
MyID Data Mon
ID2 10 Jan
ID2 20 Feb
ID1 10 Jan
ID3 30 Mar
ID1 30 Mar
Expecting results like:
**Table1**
MyID Avg
ID1 20
ID2 15
ID3 30
Maybe there's a better way to do this in SQL, but don't currently know.
UPDATE table1
INNER JOIN
(
SELECT Data1, AVG(columnName) avgCol
FROM table2
GROUP BY Data1
) b ON table1.MyID = b.Data
SET table1.avgColumnName = b.avgCol
MS Access update with join
This does the trick in MS Access as a query but not updating into a table.
SELECT Table2.[MyID], Avg(Table2.[Data]) AS [AVG]
FROM Table2
GROUP BY Table2.[MyID]
Related
I have a SQL table with several million rows, each row contains columns ID1 and ID2.
I'm trying to lookup the entries in this table for 100,000 unique combinations of ID1 and ID2 and export the results of this query to a CSV file.
In the past for smaller numbers of rows I've been able to use a query along the lines of
SELECT *
FROM Database.Table
WHERE ID1 = 5 AND ID2 = 3
OR ID1 = 9 AND ID2 = 33
OR ID1 = 59 AND ID2 = 332...
However this seems to break once I get beyond a few thousand combinations of ID1 and ID2.
What is the best approach for handling large lookups like this in SQL?
Load the CSV file into a table with two columns: id1 and id2. Make these the primary key.
Then use join or exists:
select bt.*
from bigtable bt join
csvtable csv
on bt.id1 = csv.id1 and bt.id2 = csv.id2;
Have you tried IN statement? https://www.mysqltutorial.org/sql-in.aspx/
SELECT * FROM table WHERE (ID1, ID2) in ( (5, 3), (10, 6), ..)
I am new to sql and are trying to combine a column value from three different tables and combine to one row in DB2 Warehouse on Cloud. Each table consists of only one row and unique column name. So what I want to is just join these three to one row their original column names.
Each table is built from a statement that looks like this:
SELECT SUM(FUEL_TEMP.FUEL_MLAD_VALUE) AS FUEL
FROM
(SELECT ML_ANOMALY_DETECTION.MLAD_METRIC AS MLAD_METRIC, ML_ANOMALY_DETECTION.MLAD_VALUE AS FUEL_MLAD_VALUE, ML_ANOMALY_DETECTION.TAG_NAME AS TAG_NAME, ML_ANOMALY_DETECTION.DATETIME AS DATETIME, DATA_CONFIG.SYSTEM_NAME AS SYSTEM_NAME
FROM ML_ANOMALY_DETECTION
INNER JOIN DATA_CONFIG ON
(ML_ANOMALY_DETECTION.TAG_NAME =DATA_CONFIG.TAG_NAME AND
DATA_CONFIG.SYSTEM_NAME = 'FUEL')
WHERE ML_ANOMALY_DETECTION.MLAD_METRIC = 'IFOREST_SCORE'
AND ML_ANOMALY_DETECTION.DATETIME >= (CURRENT DATE - 9 DAYS)
ORDER BY DATETIME DESC)
AS FUEL_TEMP
I have tried JOIN, INNER JOIN, UNION/UNION ALL, but can't get it to work as it should. How can I do this?
Use a cross-join like this:
create table table1 (field1 char(10));
create table table2 (field2 char(10));
create table table3 (field3 char(10));
insert into table1 values('value1');
insert into table2 values('value2');
insert into table3 values('value3');
select *
from table1
cross join table2
cross join table3;
Result:
field1 field2 field3
---------- ---------- ----------
value1 value2 value3
A cross join joins all the rows on the left with all the rows on the right. You will end up with a product of rows (table1 rows x table2 rows x table3 rows). Since each table only has one row, you will get (1 x 1 x 1) = 1 row.
Using UNION should solve your problem. Something like this:
SELECT
WarehouseDB1.WarehouseID AS TheID,
'A' AS TheSystem,
WarehouseDB1.TheValue AS TheValue
FROM WarehouseDB1
UNION
SELECT
WarehouseDB2.WarehouseID AS TheID,
'B' AS TheSystem,
WarehouseDB2.TheValue AS TheValue
FROM WarehouseDB2
UNION
WarehouseDB3.WarehouseID AS TheID,
'C' AS TheSystem,
WarehouseDB3.TheValue AS TheValue
FROM WarehouseDB3
Ill adapt the code with your table names and rows if you tell me what they are. This kind of query would return something like the following:
TheID TheSystem TheValue
1 A 10
2 A 20
3 B 30
4 C 40
5 C 50
As long as your column names match in each query, you should get the desired results.
Trying to figure out if it's possible to write a single, set based query to return what I want with data in one single table. The below is just an example, and I need something that could easily work if most (but not all) of combinations 1 to 9 (or 1 to 20 etc) exist.
Table AllCovered has two columns. ID1 and ID2. There are 16 rows in this table, each containing a combination of the numbers 1 to 4 (so 1,1 1,2 1,3 1,4 2,1 .... 4,3 4,4)
Table SomeGaps has the same structure but only has 12 rows, again each row is a combination of 1 to 4, but with some of the combinations missing.
SELECT ID1, ID2, COUNT(ID1) as THIS
FROM AllCovered
GROUP BY ID1, ID2
- this query returns 16 rows, each combination with 1 in the 3rd column (THIS)
SELECT ID1, ID2, COUNT(ID1) as THIS
FROM SomeGaps
GROUP BY ID1, ID2
- this returns the 12 rows. How can I create query that will return 16 rows, of each combination but with 0 in THIS for the combinations that are missing in somegaps?
ID1 ID2 THIS
1 1 1
1 2 0 (1,2 combination does NOT exist in SomeGaps)
1 3 1
1 4 1
2 1 1
2 2 0 (2,2 combination does NOT exist in SomeGaps)
Obviously I've tried using a crossjoin to get all combinations of ID1 and ID2 but the COUNT is, as expected, vastly inflated.
Hope this makes sense. Apologies if it's an easy solution, I can't seem to crack it!
You can do this by cross-joining all the distinct values for the two columns. Then use left outer join and aggregation to get the counts for all combinations:
select ac.id1, ac.id2, count(ac.id1) as cnt
from (select distinct id1 from AllCovered) ac1 cross join
(select distinct id2 from AllCovered) ac2 left join
AllCovered ac
on ac.id1 = ac1.id1 and ac.id2 = ac2.id2
group by ac.id1, ac.id2;
I'm probably missing something obvious, but I'll take a bite anyway:
create table #AllCovered (id1 int, id2 int);
insert #AllCovered values
(1,1),(1,2),(1,3),(1,4),(2,1),(2,2),(2,3),(2,4),(3,1),(3,2),(3,3),(3,4),(4,1),(4,2),(4,3),(4,4);
create table #gaps (id1 int, id2 int);
insert #gaps values(1,1),(1,2),(1,3),(1,4),(2,1),(2,4),(3,1),(3,2),(3,3),(4,1),(4,2),(4,4);
select #AllCovered.id1, #AllCovered.id2,
count(#gaps.id1) as this
from #AllCovered
left outer join #gaps
on #AllCovered.id1 = #gaps.id1 and #AllCovered.id2 = #gaps.id2
group by #AllCovered.id1, #AllCovered.id2;
drop table #AllCovered, #gaps
From your narrative, there are no duplicate combinations of (id1, id2) in neither table, and AllCovered contains all possible combinations -- otherwise will use distinct subqueries and fabricate AllCovered.
I have two queries :
Queries Simplified excluding Joins
Query 1 : select ProductName,NumberofProducts (in inventory) from Table1.....;
Query 2 : select ProductName, NumberofProductssold from Table2......;
I would like to know how I can get an output as :
ProductName NumberofProducts(in inventory) ProductName NumberofProductsSold
The relationships used for getting the outputs for each query are different.
I need the output this way for my SSRS report .
(I tried the union statement but it doesnt work for the output I want to see. )
Here is an example that does a union between two completely unrelated tables: the Student and the Products table. It generates an output that is 4 columns:
select
FirstName as Column1,
LastName as Column2,
email as Column3,
null as Column4
from
Student
union
select
ProductName as Column1,
QuantityPerUnit as Column2,
null as Column3,
UnitsInStock as Column4
from
Products
Obviously you'll tweak this for your own environment...
I think you are after something like this; (Using row_number() with CTE and performing a FULL OUTER JOIN )
Fiddle example
;with t1 as (
select col1,col2, row_number() over (order by col1) rn
from table1
),
t2 as (
select col3,col4, row_number() over (order by col3) rn
from table2
)
select col1,col2,col3,col4
from t1 full outer join t2 on t1.rn = t2.rn
Tables and data :
create table table1 (col1 int, col2 int)
create table table2 (col3 int, col4 int)
insert into table1 values
(1,2),(3,4)
insert into table2 values
(10,11),(30,40),(50,60)
Results :
| COL1 | COL2 | COL3 | COL4 |
---------------------------------
| 1 | 2 | 10 | 11 |
| 3 | 4 | 30 | 40 |
| (null) | (null) | 50 | 60 |
How about,
select
col1,
col2,
null col3,
null col4
from Table1
union all
select
null col1,
null col2,
col4 col3,
col5 col4
from Table2;
The problem is that unless your tables are related you can't determine how to join them, so you'd have to arbitrarily join them, resulting in a cartesian product:
select Table1.col1, Table1.col2, Table2.col3, Table2.col4
from Table1
cross join Table2
If you had, for example, the following data:
col1 col2
a 1
b 2
col3 col4
y 98
z 99
You would end up with the following:
col1 col2 col3 col4
a 1 y 98
a 1 z 99
b 2 y 98
b 2 z 99
Is this what you're looking for? If not, and you have some means of relating the tables, then you'd need to include that in joining the two tables together, e.g.:
select Table1.col1, Table1.col2, Table2.col3, Table2.col4
from Table1
inner join Table2
on Table1.JoiningField = Table2.JoiningField
That would pull things together for you into however the data is related, giving you your result.
If you mean that both ProductName fields are to have the same value, then:
SELECT a.ProductName,a.NumberofProducts,b.ProductName,b.NumberofProductsSold FROM Table1 a, Table2 b WHERE a.ProductName=b.ProductName;
Or, if you want the ProductName column to be displayed only once,
SELECT a.ProductName,a.NumberofProducts,b.NumberofProductsSold FROM Table1 a, Table2 b WHERE a.ProductName=b.ProductName;
Otherwise,if any row of Table1 can be associated with any row from Table2 (even though I really wonder why anyone'd want to do that), you could give this a look.
Old question, but where others use JOIN to combine unrelated queries to rows in one table, this is my solution to combine unrelated queries to one row, e.g:
select
(select count(*) c from v$session where program = 'w3wp.exe') w3wp,
(select count(*) c from v$session) total,
sysdate
from dual;
which gives the following one-row output:
W3WP TOTAL SYSDATE
----- ----- -------------------
14 290 2020/02/18 10:45:07
(which tells me that our web server currently uses 14 Oracle sessions out of the total of 290 sessions; I log this output without headers in an sqlplus script that runs every so many minutes)
Load each query into a datatable:
http://www.dotnetcurry.com/ShowArticle.aspx?ID=143
load both datatables into the dataset:
http://msdn.microsoft.com/en-us/library/aeskbwf7%28v=vs.80%29.aspx
This is what you can do. Assuming that your ProductName column have common values.
SELECT
Table1.ProductName,
Table1.NumberofProducts,
Table2.ProductName,
Table2.NumberofProductssold
FROM Table1
INNER JOIN Table2
ON Table1.ProductName= Table2.ProductName
Try this:
SELECT ProductName,NumberofProducts ,NumberofProductssold
FROM table1
JOIN table2
ON table1.ProductName = table2.ProductName
Try this:
GET THE RECORD FOR CURRENT_MONTH, LAST_MONTH AND ALL_TIME AND MERGE THEM INTO SINGLE ARRAY
$analyticsData = $this->user->getMemberInfoCurrentMonth($userId);
$analyticsData1 = $this->user->getMemberInfoLastMonth($userId);
$analyticsData2 = $this->user->getMemberInfAllTime($userId);
foreach ($analyticsData2 as $arr) {
foreach ($analyticsData1 as $arr1) {
if ($arr->fullname == $arr1->fullname) {
$arr->last_send_count = $arr1->last_send_count;
break;
}else{
$arr->last_send_count = 0;
}
}
foreach ($analyticsData as $arr2) {
if ($arr->fullname == $arr2->fullname) {
$arr->current_send_count = $arr2->current_send_count;
break;
}else{
$arr->current_send_count = 0;
}
}
}
echo "<pre>";
print_r($analyticsData2);die;
I'm a bit confused on this. I have a data table structured like this:
Table: Data
DataID Val
1 Value 1
2 Value 2
3 Value 3
4 Value 4
Then I have another table structured like this:
Table: Table1
Col1 Col2
1 2
3 4
4 3
2 1
Both columns from Table1 point to the data in the data table. How can I get this data to show in a query? For example, a query to return this:
Query: Query1
Column1 Column2
Value 1 Value 2
Value 3 Value 4
Value 4 Value 3
Value 2 Value 1
I'm familiar enough with SQL to do a join with one column, but lost beyond that. Any help is appreciated. Sample sql or a link to something to read. Thanks!
PS: This is in sqlite
You can join the same table twice:
Select
d1.val As column1,
d2.val As column2
From table1 t
Join data d1 On ( d1.dataId = t.col1 )
Join data d2 On ( d2.dataId = t.col2 )