I have table TB1 which has the following cols:
ID | date
---------------------
1 | 12-JUL-10
2 | 12-JUL-10
3 | 12-JUL-10
4 | 12-JUL-10
.
.
.
10000 | 12-JUL-10
table2
ID | date
---------------------
1 | 12-JAN-09
2 | 12-JUL-09
3 | 12-JUL-09
4 | 12-JUL-08
.
.
.
5800 | 12-JUL-08
How to update the table2's date which has similar ID as table1.
Thanks :)
In general
UPDATE table2 t2
SET date_col = (SELECT t1.date_col
FROM table1 t1
WHERE t1.id = t2.id)
WHERE EXISTS (
SELECT 1
FROM table1 t1
WHERE t1.id = t2.id )
If you can be guaranteed that every ID in table2 exists in table1 (or if you want the date_col set to NULL if there is no match), you can eliminate the WHERE EXISTS. But generally you only want to do an update if there is a matching record.
Then there is also using an inline view for the update. This is slightly trickier to get right because I think it requires a primary key to exist on both sides of the join otherwise it fails with an error.
update (
select
t1.id as t1_id,
t1.value as t1_date,
t2.id as t2_id,
t2.value as t2_date
from
table1 t1
join table2 t2 on (t1.id = t2.id)
)
set t2_date = t1_date
Related
I have 3 tables to join to get the output in the below format.
My table 1 is like:
--------------------------------------------------------
T1_ID1 | T1_ID2 | NAME
--------------------------------------------------------
123 | T11231 | TestName11
123 | T11232 | TestName12
234 | T1234 | TestName13
345 | T1345 | TestName14
--------------------------------------------------------
My table 2 is like:
--------------------------------------------------------
T2_ID1 | T2_ID2 | NAME
--------------------------------------------------------
T11231 | T21231 | TestName21
T11232 | T21232 | TestName21
T1234 | T2234 | TestName22
--------------------------------------------------------
My table 3 is like:
----------------------------------------------------------
T3_ID1 | TYPE | REF
----------------------------------------------------------
T21231 | 1 | 123456
T21232 | 2 | 1234#test.com
T2234 | 2 | 123#test.com
----------------------------------------------------------
My desired output is:
------------------------------------------------------
T1_ID1 | PHONE | EMAIL
------------------------------------------------------
123 | 123456 | 1234#test.com
234 | | 123#test.com
345 | |
------------------------------------------------------
Requirements:
T1_ID2 of table 1 left joins with T2_ID1 of table 2.
T2_ID2 of table 2 left joins with T3_ID1 of table 3.
TYPE of table 3 specifies 1 if the value is phone and specified 2 if value is email.
My output should contain T1_ID1 of table 1 and its corresponding value of REF in table 3, with the REF in the same row.
That is, in this case, T1_ID1 with value 123 has both phone and email. So, it is displayed in the same row in output.
If phone alone is available for corresponding value of T1_ID1, then phone should be populated in the result with email as null and vice versa.
If neither phone nor email is available, nothing should be populated.
I had tried the below SQLs but in vain. Where am I missing? Please extend your help.
Option 1:
SELECT DISTINCT
t1.t1_id1,
t3.ref
|| (
CASE
WHEN t3.type = 1 THEN
1
ELSE
0
END
) phone,
t3.ref
|| (
CASE
WHEN t3.type = 2 THEN
1
ELSE
0
END
) email
FROM
table1 t1
LEFT JOIN table2 t2 ON t1.t1_id2 = t2.t2_id1
LEFT JOIN table3 t3 ON t2.t2_id2 = t3.t3_id1;
Option 2:
SELECT DISTINCT
t1.t1_id1,
t3.ref,
(
CASE
WHEN t3.type = 1 THEN
1
ELSE
0
END
) phone,
t3.ref,
(
CASE
WHEN t3.type = 2 THEN
1
ELSE
0
END
) email
FROM
table1 t1
LEFT JOIN table2 t2 ON t1.t1_id2 = t2.t2_id1
LEFT JOIN table3 t3 ON t2.t2_id2 = t3.t3_id1;
Option 3:
SELECT DISTINCT
t1.t1_id1,
(
CASE
WHEN t3.type = 1 THEN
1
ELSE
0
END
) phone,
(
CASE
WHEN t3.type = 2 THEN
1
ELSE
0
END
) email
FROM
table1 t1
LEFT JOIN table2 t2 ON t1.t1_id2 = t2.t2_id1
LEFT JOIN table3 t3 ON t2.t2_id2 = t3.t3_id1;
select t1_id1, max(t3.ref )phone, max(t33.ref) email
from table1
left outer join
table2 on t1_id2=t2_id1
left outer join table3 t3 on t3.t3_id1=t2_id2 and t3.type=1
left outer join table3 t33 on t33.t3_id1=t2_id2 and t33.type=2
group by t1_id1
if you have maximum one phone and one email in table3 for each t2_id2 entry in table2.
I have a table that has three columns ( primary key) and I need a delete sentece that allows me to remove the elements I don't need , using a join with the this table and other table, I've tried two delete sentences but they are not working as expected:
First One: This one gets the values I dont need and they are removed from table A, but the issue here is it deletes the values from Table B and C too and those rows can't be removed
DELETE
FROM
(SELECT A.*
FROM TABLE_A A
JOIN TABLE_B B
ON A.CODE =B.CODE
JOIN TABLE_C C
ON B.PRODUCT =C.PRODUCT
WHERE B.VALUE >10000
AND C.RANGE NOT IN (4006, 4005, 4004, 4003, 4002, 4001)
);
**Second One:**The problem with this one is that it removes all the rows from table A, but if I test the query ( select) it returns 5 rows, the ones that should be removed.
DELETE
FROM A WHERE EXIST
(SELECT A.*
FROM TABLE_A A
JOIN TABLE_B B
ON A.CODE =B.CODE
JOIN TABLE_C C
ON B.PRODUCT =C.PRODUCT
WHERE B.VALUE >10000
AND C.RANGE NOT IN (4006, 4005, 4004, 4003, 4002, 4001)
);
So has anyone any idea of what I could be doing wrong?
The first one will delete matched rows across the joins, the second one will delete all rows when there EXISTS any one matched row as you are not correlating the deleted rows to the sub-query.
You can perform this correlation using the ROWID pseudo-column:
SQL Fiddle
Oracle 11g R2 Schema Setup:
CREATE TABLE table_a ( id, code ) AS
SELECT 1, 1 FROM DUAL UNION ALL
SELECT 2, 2 FROM DUAL UNION ALL
SELECT 3, 3 FROM DUAL;
CREATE TABLE table_b ( id, code, product, value ) AS
SELECT 1, 1, 1, 10001 FROM DUAL UNION ALL
SELECT 2, 2, 2, 10001 FROM DUAL UNION ALL
SELECT 3, 3, 1, 9999 FROM DUAL;
CREATE TABLE table_c ( id, product, range ) AS
SELECT 1, 1, 1001 FROM DUAL UNION ALL
SELECT 2, 2, 4001 FROM DUAL;
DELETE
FROM table_A
WHERE ROWID IN (
SELECT A.ROWID
FROM TABLE_A A
JOIN TABLE_B B
ON A.CODE = B.CODE
JOIN TABLE_C C
ON B.PRODUCT = C.PRODUCT
WHERE B.VALUE >10000
AND C.RANGE NOT IN (4006, 4005, 4004, 4003, 4002, 4001)
);
Query 1:
SELECT * FROM table_a
Results:
| ID | CODE |
|----|------|
| 2 | 2 |
| 3 | 3 |
Query 2:
SELECT * FROM table_b
Results:
| ID | CODE | PRODUCT | VALUE |
|----|------|---------|-------|
| 1 | 1 | 1 | 10001 |
| 2 | 2 | 2 | 10001 |
| 3 | 3 | 1 | 9999 |
Query 3:
SELECT * FROM table_c
Results:
| ID | PRODUCT | RANGE |
|----|---------|-------|
| 1 | 1 | 1001 |
| 2 | 2 | 4001 |
Eg:
select username, country from table1
Minus
Select username, country from table2;
The above minus query works in RDBMS but i want the same result using hive. Can we use joins here in hive to get the result? If so how to get proper result using hive query.
Set operations (MINUS/EXCEPT/INTERSECT in addition to UNION) are supported as of Hive 2.3.0 (released on 17 July 2017)
https://issues.apache.org/jira/browse/HIVE-12764
Demo
create table table1 (username string, country string);
create table table2 (username string, country string);
insert into table1 values ('Danny','USA'),('Danny','USA'),('David','UK');
insert into table2 values ('David','UK'),('Michal','France');
select username, country from table1
minus
Select username, country from table2
;
+--------------+-------------+
| _u1.username | _u1.country |
+--------------+-------------+
| Danny | USA |
+--------------+-------------+
In older Hive version you can use -
select username
,country
from ( select 1 tab,username, country from table1
union all select 2 tab,username, country from table2
) t
group by username
,country
having count(case when tab = 2 then 1 end) = 0
;
+----------+---------+
| username | country |
+----------+---------+
| Danny | USA |
+----------+---------+
You may utilize left join as follows
select table1.username, table1.country
from table1 left join table2
on table1.username=table2.username and table1.country=table2.country
where table2.username is NULL and table2.country is NULL;
Yes , As minus and exist not usually work in hive we can do minus operation by below LEFT JOIN condition.
SELECT t1.username, t1.country
FROM
(select username, country from table1) t1
LEFT JOIN
(Select username, country from table2) t2
ON t1.username =t2.username
AND t1.country =t2.country
WHERE t1.username IS NULL
IMP NOTE:Please do use WHERE CLAUSE FOR NULL Operations instead of AND after join condition this will have different results.
I need to retrieve 3 values with different key from a key value pair table.
My database schema as follows. I need to reach to table3 from table1 by taking the E_SUBID and then joining the table2 with E_SUBID. Once table1 and table2 are joined I need take to take E_CID from table2 to join it with table2 E_CID to get the "Attr_Value" keeping E_CID as a criteria.
Table1
------------------------
|E_SUBID| B_LocationID |
|1 100 |
|2 101 |
|3 102 |
Table2
-----------------
|E_CID | E_SUBID|
|10 1 |
|11 2 |
|12 3 |
Table3
---------------------------------
|E_CID | Attr_name | Attr_Value |
|10 Product Samsung |
|10 Model Smartphone |
|10 usage daily |
|11 Product Apple |
|11 Model Ipad |
|11 usage everyday |
|12 Model smartwatch |
I have been successful to join table1,table2 and table3 but I cannot get the required output which as follows
OUTPUT
|Product | Model | Usage |
Samsung Smartphone daily
Apple Ipad everyday
null smartwatch null
The query which joins table1, table2 and table3 as follows
select distinct t3.Attr_value as Product
from table1 t1, table2 t2, table3 t3
where t1.E_SUBID = t2.E_SUBID and
t2.E_CID = t3.E_CID and
t3.Attr_name=?????
order by Product;
Thank you for your time.
In a case like this, you can join to table3 as often as you need to for each attribute name you wish to display:
select
p.attr_value product,
m.attr_value "model", -- Quotes to escape reserved word
u.attr_value usage
from table1 t1
join table2 t2 on t1.e_subid = t2.e_subid
left outer join table3 p on t2.e_cid = p.e_cid and p.attr_name = 'Product'
left outer join table3 m on t2.e_cid = m.e_cid and m.attr_name = 'Model'
left outer join table3 u on t2.e_cid = u.e_cid and u.attr_name = 'Usage'
order by 1;
Edit
Based on the comment, by making table3 optional (outer join) the query should return all rows and whether or not a Model or Usage or Product has been defined.
Try as below ... Basically you are trying to transpose the rows to column in table3.
Select Product, "Model", Usage
From
(
Select
t1.E_SUBID,
t2.E_CID,
Max(Case when T3.Attr_name = 'Product' Then T3.Attr_Value else null end) Product,
max(Case when T3.Attr_name = 'Model' Then T3.Attr_Value else null end) Model,
max(Case when T3.Attr_name = 'Usage' Then T3.Attr_Value else null end) Usage
From Table1 t1,
Table2 t2,
Table3 t3
Where
t1.E_SUBID = t2.E_SUBID
and t2.E_CID = t3.E_CID
group by t1.t1.E_SUBID,t2.E_CID
);
I'm having some trouble with an update statement in my oracle database.
The query takes to much time and the temp tablespace is running out of space, but it provides the correct data.
I tried to convert the subqueries to joins but i couldn't figure out how to do it correctly.
If someone knows how to improve the statement or how to convert it into a join i would be really grateful.
UPDATE table1 t1
SET t1.inxdc = (SELECT sda_x
FROM table2 t2
WHERE t1.c1 = t2.c1
AND t1.c2 = t2.c2
AND t1.c3 = t2.c3
AND t1.c4 = t2.c4
AND t1.c5 = t2.c5
AND t1.c6 = t2.c6
AND t2.ident = 'K_SDA_W'
AND rownum=1)
WHERE EXISTS
(SELECT 1
FROM table2 t2
WHERE t1.c1 = t2.c1
AND t1.c2 = t2.c2
AND t1.c3 = t2.c3
AND t1.c4 = t2.c4
AND t1.c5 = t2.c5
AND t1.c6 = t2.c6
AND t2.ident = 'K_SDA_W');
edit1:
Some information for the tables
table1 PKs = c1,c2,c3,c4,c5,c6
table2 PKs = ident,c4,c5,c6, and 3 others not mentioned in the statement (c7,c8,c9)
index: besides the PKs only on table2 c1
table1 data: 12466 rows
table2 data: 194827 rows
edit2:
Execution Plan
--------------------------------------------------------------
| Id | Operation | Name |
--------------------------------------------------------------
| 0 | UPDATE STATEMENT | |
| 1 | UPDATE | table1 |
| 2 | NESTED LOOPS SEMI | |
| 3 | TABLE ACCESS FULL | table1 |
| 4 | TABLE ACCESS BY INDEX ROWID| table2 |
| 5 | INDEX RANGE SCAN | t2.c1 |
| 6 | COUNT STOPKEY | |
| 7 | TABLE ACCESS BY INDEX ROWID| table2 |
| 8 | INDEX RANGE SCAN | t2.PK |
--------------------------------------------------------------
There are very few rows in Table1, just drop the WHERE clause in this particular situation and add NVL to the value returned from subquery:
UPDATE table1 t1
SET t1.inxdc = NVL((SELECT sda_x
FROM table2 t2
WHERE t1.c1 = t2.c1
AND t1.c2 = t2.c2
AND t1.c3 = t2.c3
AND t1.c4 = t2.c4
AND t1.c5 = t2.c5
AND t1.c6 = t2.c6
AND t2.ident = 'K_SDA_W'
AND rownum=1), t1.inxdc);
In general your update should be quick, have you checked performance of the subquery? Check if an index (and which one) is used on table2 for the subquery (best, show us the exection plan).
I think table t2 shoulkd have an index on c1,c2,c3, c4,c5,c6,ident
In this case the update of t1 should be really faster.