How to get the different records for the date max.

Hi all

Here is the sample sql for sample table and data.

Create table student (dept_id number(10), first_name varchar2(10),last_name varchar2(10),join_date date,years_attended number(10));

insert into student values (1,'Ann','Coleman',to_date('3/7/1917','MM/DD/YYYY'),4);
insert into student values (1,'Ann','Coleman',to_date('3/7/1916','MM/DD/YYYY'),5);
insert into student values (2,'Rock','Star',to_date('1/1/1920','MM/DD/YYYY'),5);
insert into student values (2,'Rock','Star',to_date('1/1/1921','MM/DD/YYYY'),6);
insert into student values (3,'Jack','Smith',to_date('7/1/1900','MM/DD/YYYY'),3);

insert into student values (3,'Jack','Smith',to_date('7/1/1901','MM/DD/YYYY'),4);

commit;

I need to get maximum date records when the name and dep_id corresponds to. I wrote the query below and it becomes the expected result, but I'm not sure it's quite effective.

SELECT s.dept_id, s.first_name,s.years_attended

FROM (SELECT dept, MAX (join_date) join_date

STUDENT GROUP BY dept_id) x

Student JOIN s ON x.dept_id = s.dept_id AND x.join_date = s.join_date;

This above query returns records like below, and this is the goal.

DEPT_ID NAME YEARS_ATTENDED

1                         Ann                                4

2                         Rock                              6

3                         Jack                              4

Can you please let me know the query SQL I wrote is effective or not? This sample table may have less data, but I'm dealing with millions of records.

Hello

Thanks for posting CREATE TABLE and INSERT statement. This really helps.

Here's a solution. I also added a name that seems logical. In which case you can delete:

Select dept_id, first_name, last_name

, max (years_attended) Dungeon years_attended (last dense_rank order by join_date)

the student

Group of dept_id, first_name, last_name;

DEPT_ID FIRST_NAME LAST_NAME YEARS_ATTENDED

---------- ---------- ---------- --------------

1 Ann Coleman 4

Rock 2 star 6

3 Jack Smith 4

Kind regards.

Alberto

Tags: Database

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