how can i update a table column from another table. here is my code :
update table1 hn
set hn.changeColumn=es.changeColumn
from table1 hn
inner join table2 es on es.x=hn.xand es.rol_id=hn.rol_id
where hn.x= es.x and hn.rol_id = es.rol_id
i wanna set table1's column(changeColumn) values with table2's column(changeColumn) values
how can i do this. thanks
If you want to convert this query to Oracle, You need a MERGE INTO statement -
MREGE INTO table1 hn
USING table2 es
ON (es.x=hn.x and es.rol_id=hn.rol_id)
WHEN MATCHED THEN
UPDATE
SET hn.changeColumn=es.changeColumn
One valid way to write this query on Oracle would be:
UPDATE table1 t1
SET changeColumn = (SELECT t2.changeColumn
FROM table2 t2
WHERE t1.x = t2.x AND t1.rol_id = t2.rol_id);
This assumes that your join condition would only generate at most a single pair of mstching records from the self join. If not, then we would have to modify the logic.
Related
I'm trying to get the result into a variable (is it possible to do it as a %rowtype of an existing table? probably not because of conflicting columns) where it would display me all the values where the two refs overlap and the i_ref(which is inputted ) also overlaps with the ref from t1.
select *
into aRow
from table1 t1
where t1.ref = i_ref
and (select * from table2 t2 where t1.ref = t2.ref);
What am I doing wrong with my select?
You can join tables instead of nested subquery:
select t1.*
into aRow
from table1 t1 join table2 t2 on t1.ref = t2.ref
where t1.ref = i_ref
just wondering how i can create a temp table and then select from it further down the script.
Example.
CREATE TEMPORARY TABLE TEMP_TABLE1 AS
Select
L.ID,
SUM(L.cost)/2 as Costs,
from Table1 L
JOIN Table2 C on L.ID = C.ID
Where C.name = 'mike'
Group by L.ID
Select
Count(L.ID)
from Table1 L
JOIN TEMP_TABLE1 TT1 on L.ID = TT1.ID;
Where L.ID not in (TT1)
And Sum(L.Cost) > TT1.Costs
Ideally I want to have a temp table then use it later in the script to reference from.
Any help would be great!
You simply refer to the table as temp.<table> or <table> the latter only if it is a unique table name.
As per :-
If a schema-name is specified, it must be either "main", "temp", or
the name of an attached database. In this case the new table is
created in the named database. If the "TEMP" or "TEMPORARY" keyword
occurs between the "CREATE" and "TABLE" then the new table is created
in the temp database. It is an error to specify both a schema-name and
the TEMP or TEMPORARY keyword, unless the schema-name is "temp". If no
schema name is specified and the TEMP keyword is not present then the
table is created in the main database.
SQL As Understood By SQLite - CREATE TABLE
The following example creates 3 tables :-
table1 with 3 columns as a permanent table.
table1 a temporary copy of the permanent table1.
temp_table another temporary copy of the permanent table1.
:-
DROP TABLE IF EXISTS temp.table1;
DROP TABLE IF EXISTS table1;
DROP TABLE IF EXISTS temp_table;
CREATE TABLE table1 (columnA INTEGER,columnB INTEGER, columnC INTEGER);
When creating the permanent table 1 it is loaded with 4 rows
:-
INSERT INTO table1 (columnA,columnB,columnC) VALUES
(1,5,20),
(2,7,21),
(3,8,80),
(4,3,63);
CREATE TEMP TABLE table1 AS select * from table1;;
CREATE TEMPORARY TABLE temp_table AS SELECT * FROM table1;
both temp tables are then used to in a union all to basically duplicate the rows, but with an indicator of the source table as a new column from_table
Not that two forms of referring to the temp tables are used. temp. and just the table name.
The latter only usable if the temporary table is a unique table name.
:-
SELECT 'temp_table' AS from_table,* FROM temp_table
UNION ALL
SELECT 'temp.table1' as from_table,* FROM temp.table1;
The result being :-
Re addition of example :-
CREATE TEMPORARY TABLE TEMP_TABLE1 AS
Select
L.ID,
SUM(L.cost)/2 as Costs,
from Table1 L
JOIN Table2 C on L.ID = C.ID
Where C.name = 'mike'
Group by L.ID
Select
Count(L.ID)
from Table1 L
JOIN TEMP_TABLE1 TT1 on L.ID = TT1.ID;
Where L.ID not in (TT1)
And Sum(L.Cost) > TT1.Costs
There are a few issues with this example bar the misuse of the aggregate (commented out) the following works.
Note for my convenience I've added an _ to the table names.
:-
DROP TABLE IF EXISTS Table_1;
DROP TABLE IF EXISTS Table_2;
DROP TABLE If EXISTS temp.temp_table1;
CREATE TABLE Table_1 (ID INTEGER PRIMARY KEY, cost REAL);
CREATE TABLE Table_2 (ID INTEGER PRIMARY KEY, name TEXT);
INSERT INTO Table_1 (cost) VALUES (100.45),(56.78),(99.99);
INSERT INTO Table_2 (name) VALUES ('mike'),('mike'),('fred');
CREATE TEMP TABLE temp_table1 AS
SELECT L.ID,
sum(L.cost)/2 as Costs
FROM Table_1 L
JOIN Table_2 C ON L.ID = C.ID
WHERE C.name = 'mike'
GROUP BY L.ID;
SELECT
count(L.ID)
FROM Table_1 L
JOIN temp_table1 TT1 ON L.ID = TT1.[L.ID]
WHERE
L.ID NOT IN (TT1.[L.ID])
-- AND Sum(L.cost) > TT1.costs --<<<< misuse of aggregate
The issues are based upon the column name being L.ID so this has to be enclosed (rules here SQL As Understood By SQLite - SQLite Keywords apply) [ and ] have been used above.
of course you could circumvent the need for enclosure by naming the column using AS e..g SELECT
L.ID AS lid, --<<<< AS lid ADDED
SUM(L.cost)/2 as Costs, ,.......
Adding the following may be suitable for getting around the misuse of aggregate :-
GROUP BY L.ID
HAVING sum(L.cost) > TT1.costs
Adding the following to the end of the script :-
SELECT
count(L.ID), *
FROM Table_1 L
JOIN temp_table1 TT1 ON L.ID = TT1.[L.ID];
results in :-
If this is only to be used by one SELECT statement then you can use the WITH clause:
WITH TmpTable(id,cost) AS
(
...SELECT statement that returns the two columns (id and cost)...
)
SELECT id, cost FROM TmpTable WHERE ...;
I am having two tables which i wish to join.
I am not using foreign keys.
table structure table1
id,val1
table structure table2
id,val2
I am using now following command:
update table1 set val1=(SELECT val2 FROM table2 WHERE table1.id LIKE table2.id)
How can i force sqlite not to insert a value in table1 if an id does not exist in table2?
To use exact comparisons, use = instead of LIKE.
To update only those rows where a match is found, use a WHERE clause:
UPDATE Table1
SET val1 = (SELECT val2
FROM Table2
WHERE Table1.id = Table2.id)
WHERE id IN (SELECT id FROM Table2);
If you omit the WHERE clause, rows without a match get updated with a NULL value.
I have three tables doodhiya, doodhdata and cashdata.
I am trying to join these and fetch some needed data by this code but not succeed
SELECT dname,ddate,dmonth,dyear,dmilk,uid
FROM doodhiya
INNER JOIN doodhiya.dhid = doodhdata.ddhid
INNER JOIN doodhdata.dhid = cashdata.uid
WHERE (dname='$mik' AND dmonth='$mikdatem' AND dyear='$mikdatey')
ORDER BY ddate ASC
What I have to do?
You are missing the table name and the ON keyword in your join
SELECT dname,ddate,dmonth,dyear,dmilk,uid
FROM doodhiya
INNER JOIN doodhdata ON doodhiya.dhid = doodhdata.ddhid
INNER JOIN cashdata ON doodhdata.dhid = cashdata.uid
WHERE (dname='$mik' AND dmonth='$mikdatem' AND dyear='$mikdatey')
ORDER BY ddate ASC
A note on this part of the question:
Pls suggest me what I have to do
The syntax for a join is documented in the manual (and millions of SQL references in the web). So the best thing you can do the next time is to first consult the manual and/or a SQL reference.
SELECT retailername,
productname,
qty,
stock,
price,
discount
FROM temptablename,
productmaster,
retailermaster
WHERE temptablename.pid = productmaster.productid
AND temptablename.rid = retailermaster. retailercode
SELECT dname,
ddate,
dmonth,
dyear,
dmilk,
uid
FROM doodhdata,
cashdata
WHERE doodhiya.dhid = doodhdata.ddhid
AND doodhdata.dhid = cashdata.uid
AND dname='$mik'
AND dmonth='$mikdatem'
AND dyear='$mikdatey'
ORDER BY ddate ASC
I need to compare data of the same table who do this.
At example, compare A,10 with B,10 when 10 is a repeat value.
You can do this using the cross-product operator, in SQL this would be done as
SELECT T1.colA, T2.colA, (T1.colA < T2.colA) as colA_comp
FROM TableName T1, TableName T2
WHERE T1.colB = T2.colB
What this does is take the cross-product of the table TableName with itself (renamed as T1 and T2), and the WHERE clause filters out those records that agree on colB (the repeated value 10, in your example).
If you compare with the same table then you may use left Join
SELECT t1.cola,t1.colb,t2.cola,...
from tableA t1
LEFT JOIN tableA t2 on t2.cola = t1.cola
WHERE t1.cola = 10
I hope it might be work!