Imagine two tables:
TableA with order headers and
TableB with order items
Uniqe link between the tables = ID
I need (I think) two triggers:
When a (date) field TableA.Q is updated, all (date) field(s) on TableB.Q should be updated with the same value as TableA.Q where TableA.ID = TableB.ID.
When a record of TableB is inserted or updated, field TableB.Q should be updated with TableA.Q where TableA.ID = TableB.ID
How to do this?
Oracle version we use is 11gR2.
Related
Requirement is as below:
Table 1 - Order(ID, orderId, sequence, reference, valueDate, date)
Table 2 - Audit(AuditId, orderId, sequence, status, updatedBy, lastUpdatedDateTime)
For each record in ORDER table, there could be one or many rows in AUDIT table.
User is given a search form where he could enter any of the search params including status from audit table.
I need a way to join these two tables with dynamic where clause and get the top row for a given ORDER from AUDIT table.
Something like below:
select * from
ORDER t1, AUDIT t2
where t1.orderid = t2.orderId
and t1.sequence = t2.sequence
and t2.status = <userProvidedStatusIfAny>
and t2.lastUpdatedDateTime in (select max(t3.lastUpdatedDateTime) --getting latest record
AUDIT t3 where t1.orderid = t3.orderId
and t1.sequence = t3.sequence)
and t1.valudeDate = <userProvidedDataIfAny> ..... so on
Please help
-I cant do this with #Query because i have to form dynamic where clause
-#OneToMany fetches all the records in audit table for given orderId and sequence
-#Formula in ORDER table works but for only one column in select. i need multiple values from AUDIT table
Please help
I have a table table1, where there is a million data and a completely identical table table2, only there are only 106 data. How it is possible to delete these 106 data from table1?
In these two tables i have fields like id, date, param0, param1, param2.
Presuming that uniqueness is enforced through the ID column in both tables, then:
delete from table1 a
where exists (select null
from table2 b
where b.id = a.id
);
Otherwise, add some more columns (into the where clause) which will help you delete only rows you really want.
I'm using Oracle12c
I have a table with a primary key and separate column.
create tableB(
ID number(10)
,data number(10)
);
ID is my primary key.
I have to join 3 tables on my query and the performance issue is the B.data without an index.
B.data contains 'null' values and multiple entries on the same numbers.
select A.examp from tabled D
join tableb B on D.data = B.data
join tablec C on B.ID = C.ID
join tablea A on C.val = A.val
where D.ID = :value;
So my question is what is the difference between an index that contains only one value like the data column
create index ind_tableb on tableb (data);
and an index that contains multiple columns like
create index ind_tableb on tableb (data, id);
Can i get an improvement by selecting the id in the index with the data in the way i join the columns ?
Thanks for any advise and help.
For this particular query, you want the two column index version:
create index ind_tableb on tableb (data, id);
The above index, if used, would let Oracle rapidly lookup tabled.data values for a potential match with a tableb.data value. If a match be found, then the same index would also contain the tableb.ID value for the next join to tablec. If you just used the single column version on tableb.data alone, then Oracle would have to seek back to the tableb table to find the ID values. This could hurt performance and might even cause the index to not be used.
I am using MS Access 2013 DB
I have two tables
Table1:
StartDate,EndDate, ID1, ID2,ProgramName, LanguageID,Language, Gender,CenterName,ZoneName
Table2
StartDate,EndDate, ID3,ProgramName, LanguageID,Language, Gender,CenterName,ZoneName
I want to join these two tables and remove duplicates by comparing the following columns from both tables
StartDate,EndDate,ProgramName, LanguageID,Language, Gender,CenterName,ZoneName
some data in the columns StartDate, EndDate have null values also. The resultant table should contain the following columns with no duplicate data
StartDate,EndDate, ID1, ID2,ID3,ProgramName, LanguageID,Language, Gender,CenterName,ZoneName
First you want create new table (other structer)
Second insert every record to new table all record where value from table1 and table2 are diffrent (without duplicate). Remember about check
I have two db2 tables, table one contains rows of constant data with id as one of the columns. second table contains id column which is foreign key to id column in first table and has 3 more varchar columns.
I am trying to insert rows into second table, where entry into id col is based on a where clause and the remaining columns get values from outside.
table1 has columns id, t1c1, t1c2, t1c3
table2 has columns id, t2c1, t2c2, t2c3
to insert into table2, I am trying this query:
insert into table2 values
(select id from table1 where t1c2 like 'xxx', 'abc1','abc2');
I know it is something basic I am missing here.
Please help correcting this query.