I am stuck in a query, please help.
I want to create view.
Table1
ID | Acode | Bcode | Ccode |
1 | 10 | 101 | 102 |
2 | 11 | 100 | 101 |
3 | 10 | 100 | 102 |
Table2
Acode | Adescription |
10 | English |
11 | Math |
Table3
Bcode | Bdescription |
100 | Grade A |
101 | Grade B |
Table4
Ccode | Cdescription |
100 | Level A |
101 | Level B |
102 | Level C |
I want to print all rows in Table1 with description from other tables based on code in table1.
Output should be:
data
NewView
ID | Acode |Adescription | Bcode | Bdescription | Ccode | Cdescription |
1 | 10 | English | 101 | Grade B | 102 | Level C |
2 | 11 | Math | 100 | Grade A | 101 | Level B |
3 | 10 | English | 100 | Grade A | 102 | Level C |
I created left join but it returns more rows than actual in table1. I want to have only all records from table1 with description from other tables.
Please help
Below is an example. Since you didn't post your original query attempt, we can't really say why you were getting multiple rows. No need for a LEFT JOIN unless you are missing codes in the joined tables.
SELECT Table1.ID
, Table1.Acode
, Table2.Adescription
, Table1.Bcode
, Table3.Bdescription
, Table1.Ccode
, Table4.Cdescription
FROM dbo.Table1
JOIN dbo.Table2 ON Table2.Acode = Table1.Acode
JOIN dbo.Table3 ON Table3.Bcode = Table1.Bcode
JOIN dbo.Table4 ON Table4.Ccode = Table1.Ccode;
Thanks for help
LEFT Join worked well. I tried to narrow down the tables one by one and found the table where I was getting duplicate records. After finding table I found that I forgot to add Unique key and 1 record (Description) was entered twice which was giving duplicate records and total number of rows were increased.
Thanks all to help me out,and Dan Guzman to point me for duplicate codes.
Related
I have one table with fake individual tax records like so (one row per filer):
T1:
+-------+---------+---------+
| Person| Spouse | Income |
+-------+---------+---------+
| 1 | 2 | 34000 |
| 2 | 1 | 10000 |
| 3 | NULL | 97000 |
| 4 | 6 | 11000 |
| 5 | NULL | 25000 |
| 6 | 4 | 100000 |
+-------+---------+---------+
I have a second table which has tax 'families', a single individual or married couple (one line per tax 'family').
T1_Family:
+-------- -+-------+---------+
| Family_id| Person| Spouse |
+-------- -+-------+---------+
| 2 | 2 | 1 |
| 3 | 3 | NULL |
| 5 | 5 | NULL |
| 6 | 6 | 4 |
+------ ---+-------+---------+
Family = max(Person) within a couple
The idea of joining the two is for example, to sum the income of 2 people in one tax family (aggregate to the family level).
So, I've tried the following:
select *
into family_table
from
(
(select * from T1_family)a
join
(select * from T1)b
on a.family = b.person **or a.spouse = b.person**
)
where family_id is not null and person is not null
What I should get (and I do get when I select 1 random couple) is one line per individual where I can then group by family_id and sum income, pension contributions, etc. BUT SQL times out before the tables can be joined. The part in bold is what's slowing down the process but I'm not sure what else to do.
Is there an easier way to group by family?
It is simpler to put the data on one row:
select a.*, p.income as person_income, s.income as spouse_income
into family_table
from t1_family a left join
t1 p
on a.person = p.person lef tjoin
t1 s
on a.spouse = s.person;
Of course, you can add them together as well.
I have the two following tables:
| ID | Count |
| --- | ----- |
| 1 | 45 |
| 2 | 5 |
| 3 | 120 |
| 4 | 87 |
| 5 | 60 |
| 6 | 200 |
| 7 | 31 |
| SizeName | LowerLimit | UpperLimit |
| -------- | ---------- | ---------- |
| Small | 0 | 49 |
| Medium | 50 | 99 |
| Large | 100 | 250 |
Basically, one table specifies an unknown number of range names and their associated integer ranges. So a count range of 0 to 49 from the person table gets a small designation. 50-99 gets 'medium' etc. I need it to be dynamic because I do not know the range names or integer values.
Can I do this in a single query or would I have to write a separate function to loop through the possibilities?
One way to do this would be to join the tables, depending on if you want to keep values outside of your "range names", or not, you could use LEFT, or INNER join respectively.
SELECT A.id, A.Count, B.SizeName
FROM tableA A
LEFT JOIN tableB B ON A.id >= B.LowerLimit AND A.id < B.UpperLimit
You can also use the BETWEEN operator in a JOIN like this:
SELECT a.id, a.Count, b.SizeName
FROM tableA a
JOIN tableB b ON a.id BETWEEN b.LowerLimit AND b.UpperLimit
I have some tables as:
Table_1:
+------------+--------------+
| Student_ID | Student_Name |
+------------+--------------+
| 000 | Jack |
| 001 | Ron |
| 002 | Nick |
+------------+--------------+
Table_2:
+-----+-------+-------+
| ID | Total | Score |
+-----+-------+-------+
| 000 | 100 | 80 |
| 001 | 100 | 80 |
| 002 | 100 | 80 |
+-----+-------+-------+
Table_3:
+-----+-------+-------+
| ID | Total | Score |
+-----+-------+-------+
| 000 | 100 | 60 |
| 001 | 100 | 80 |
| 002 | 100 | 70 |
+-----+-------+-------+
Expected_Output:
ID percent
000 70
001 80
002 75
I have created a hive table before. Now, I want to come up with a single HiveQL so that, I can get the expected output from these above 3 tables.
What I am thinking to do is, in my query I will:
use the Left outer join using ID
find the sum of "Total" and "Score" for each ID
divide sum of "Score" by sum of "Total" to get percentage.
I came up with this:
INSERT OVERWRITE TABLE expected_output
SELECT t1.Student_ID AS ID, (100*t4.SUM1/t4.SUM2) AS percent
FROM Table_1 t1
LEFT OUTER JOIN(
SELECT (ISNULL(Total,0) + ISNULL(Total,0)) AS ‘SUM2’, (ISNULL(Score,0) + ISNULL(Score,0)) AS ‘SUM1’
FROM t4
)ON (t1.Student_ID=t2.ID) JOIN Table_3 t3 ON (t3.ID=t2.ID);
And, I am stuck at this point. Not sure how to reach to the result.
Any idea please?
This is a simple join. Assuming you have one row per id in each of tables t2 and t3, you can do
SELECT t2.Student_ID AS ID, 100.0*(t2.score+t3.score)/(t2.total+t3.total) AS percent
FROM Table_2 t2
JOIN Table_3 t3 ON t3.ID=t2.ID
I have 2 tables:
puid | personid | ptitle
----------------------------
1 | 200 | richard
2 | 201 | swiss
suid | personidref | stitle
----------------------------
1 | 200 | alf
2 | 201 | lando
3 | 200 | willis
4 | 201 | luke
5 | 201 | kojak
6 | 200 | r2-d2
7 | 201 | jabba
I am trying to left join with a count of table two. I have tried to figure out to use generate_series or sub selects but I cant noodle the syntax.
In english: show me each unique person in table one with a count of each entry in table two.
example output:
puid | personid | ptitle | count
---------------------------------
1 | 200 | richard | 3
2 | 201 | swiss | 4
Is this is simple subquery, is generate_series the right tool for the job?
select *
from
t1
left join
(
select personidref, count(*) total
from t2
group by personidref
) s using(personidref)
order by puid
Notice that doing the aggregation before joining probably has a performance gain over doing it after.
I have two tables:
1. Master
| ID | Name | Amount |
|-----|--------|--------|
| 1 | a | 5000 |
| 2 | b | 10000 |
| 3 | c | 5000 |
| 4 | d | 8000 |
2. Detail
| ID |MasterID| PID | Qty |
|-----|--------|-------|------|
| 1 | 1 | 1 | 10 |
| 2 | 1 | 2 | 20 |
| 3 | 2 | 2 | 60 |
| 4 | 2 | 3 | 10 |
| 5 | 3 | 4 | 100 |
| 6 | 4 | 1 | 20 |
| 7 | 4 | 3 | 40 |
I want to select sum(Amount) from Master which joins to Deatil where Detail.PID in (1,2,3)
So I execute the following query:
SELECT SUM(Amount) FROM Master M INNER JOIN Detail D ON M.ID = D.MasterID WHERE D.PID IN (1,2,3)
Result should be 20000. But I am getting 40000
See this fiddle. Any suggestion?
You are getting exactly double the amount because the detail table has two occurences for each of the PIDs in the WHERE clause.
See demo
Use
SELECT SUM(Amount)
FROM Master M
WHERE M.ID IN (
SELECT DISTINCT MasterID
FROM DETAIL
WHERE PID IN (1,2,3) )
What is the requirement of joining the master table with details when you have all your columns are in Master table.
Also, isnt there any FK relationhsip defined on these tables. Looking at your data it seems to me that there should be FK on detail table for MasterId. If that is the case then you do not need join the table at all.
Also, in case you want to make sure that you have records in details table for the records for which you need sum and there is no FK relationship. Then you could give a try for exists instead of join.