Postgresql – SELECT fields from table having some conditions

oraclepostgresqlsubquery

I have two tables
1. Named as t1
2. Named as t2

example of the tables are :

t1 :


 id  name 
 1   one 
 2   two 
 3   three

t2 :


 id  name 
 2   five

I need to select all the data from the t1 table as well as from table t2 but I don't want to write data from table t1 which is updated

I need a resulting table like this:


 id  name 
 1   one 
 2   five 
 3   three

Please help me to solve this in postgres

Best Answer

SELECT
    t1.ID,
    CASE
WHEN t1."name" != t2."name" then
    t2.name
ELSE 
    t1.name
END as fname
FROM
    t1 LEFT JOIN t2 ON t1.ID = t2.ID

from comments - duplicates, mean You have duplicates (answer with coalesce return the same), variant for avoid duplicates:

SELECT T1.id,
       MAX(COALESCE(t2.name, t1.name)) as name
FROM t1
LEFT JOIN t2
     ON t1.id = t2.id
GROUP BY t1.id

but - be careful, which name You need to take? FIRST/MIN/MAX? because id=2, in t2 can have name = four/seven/eight ... which right?

Related Solutions

Mysql – How to select using the same fields from an undetermined number of tables using MySQL

You can have the information_schema build the entire query for you and execute it as Dynamic SQL (Prepared Statements as @a1ex07 first mentioned):

SELECT CONCAT('SELECT * FROM (SELECT bar_id,bar_weight FROM ',
GROUP_CONCAT(tb SEPARATOR
' WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM '),
' WHERE foo_id=1) as res order by res.bar_weight desc limit 0, 5')
INTO @foo_query FROM
(
    select CONCAT(table_schema,'.',table_name) tb
    from information_schema.tables
    where table_name like 'foo_reference%'
) A;
SELECT @foo_query\G
PREPARE stmt FROM @foo_query;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;

First, let's make some sample tables with sample data:

DROP DATABASE IF EXISTS timpost1;
DROP DATABASE IF EXISTS timpost2;
CREATE DATABASE timpost1;
CREATE DATABASE timpost2;
use timpost1
CREATE TABLE cookie_cutter
(
    foo_id int,
    bar_id int,
    bar_weight int,
    primary key (foo_id)
) ENGINE=MyISAM;
CREATE TABLE timpost1.foo_reference1 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost1.foo_reference2 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost1.foo_reference3 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost2.foo_reference1 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost2.foo_reference2 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost2.foo_reference3 LIKE timpost1.cookie_cutter;
INSERT INTO timpost1.foo_reference1 VALUES (1,17,10),(2,3,20);
INSERT INTO timpost1.foo_reference2 VALUES (1,27,90),(2,3,20);
INSERT INTO timpost1.foo_reference3 VALUES (1,37,40),(2,3,20);
INSERT INTO timpost2.foo_reference1 VALUES (1,47,70),(2,3,20);
INSERT INTO timpost2.foo_reference2 VALUES (1,57,20),(2,3,20);
INSERT INTO timpost2.foo_reference3 VALUES (1,67,50),(2,3,20);

Here are the sample tables being made and loaded:

mysql> DROP DATABASE IF EXISTS timpost1;
Query OK, 4 rows affected (0.03 sec)

mysql> DROP DATABASE IF EXISTS timpost2;
Query OK, 3 rows affected (0.02 sec)

mysql> CREATE DATABASE timpost1;
Query OK, 1 row affected (0.00 sec)

mysql> CREATE DATABASE timpost2;
Query OK, 1 row affected (0.00 sec)

mysql> use timpost1
Database changed
mysql> CREATE TABLE cookie_cutter
    -> (
    ->     foo_id int,
    ->     bar_id int,
    ->     bar_weight int,
    ->     primary key (foo_id)
    -> ) ENGINE=MyISAM;
Query OK, 0 rows affected (0.03 sec)

mysql> CREATE TABLE timpost1.foo_reference1 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)

mysql> CREATE TABLE timpost1.foo_reference2 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)

mysql> CREATE TABLE timpost1.foo_reference3 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)

mysql> CREATE TABLE timpost2.foo_reference1 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.06 sec)

mysql> CREATE TABLE timpost2.foo_reference2 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)

mysql> CREATE TABLE timpost2.foo_reference3 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)

mysql> INSERT INTO timpost1.foo_reference1 VALUES (1,17,10),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2  Duplicates: 0  Warnings: 0

mysql> INSERT INTO timpost1.foo_reference2 VALUES (1,27,90),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2  Duplicates: 0  Warnings: 0

mysql> INSERT INTO timpost1.foo_reference3 VALUES (1,37,40),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2  Duplicates: 0  Warnings: 0

mysql> INSERT INTO timpost2.foo_reference1 VALUES (1,47,70),(2,3,20);
Query OK, 2 rows affected (0.02 sec)
Records: 2  Duplicates: 0  Warnings: 0

mysql> INSERT INTO timpost2.foo_reference2 VALUES (1,57,20),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2  Duplicates: 0  Warnings: 0

mysql> INSERT INTO timpost2.foo_reference3 VALUES (1,67,50),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2  Duplicates: 0  Warnings: 0

mysql>

Now let's build the query and execute it:

mysql> SELECT CONCAT('SELECT * FROM (SELECT bar_id,bar_weight FROM ',
    -> GROUP_CONCAT(tb SEPARATOR
    -> ' WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM '),
    -> ' WHERE foo_id=1) as res order by res.bar_weight desc limit 0, 5')
    -> INTO @foo_query FROM
    -> (
    ->     select CONCAT(table_schema,'.',table_name) tb
    ->     from information_schema.tables
    ->     where table_name like 'foo_reference%'
    -> ) A;
Query OK, 1 row affected (0.02 sec)

mysql> SELECT @foo_query\G
*************************** 1. row ***************************
@foo_query: SELECT * FROM (SELECT bar_id,bar_weight FROM timpost1.foo_reference1 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost1.foo_reference2 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost1.foo_reference3 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost2.foo_reference1 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost2.foo_reference2 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost2.foo_reference3 WHERE foo_id=1) as res order by res.bar_weight desc limit 0, 5
1 row in set (0.01 sec)

mysql> PREPARE stmt FROM @foo_query;
Query OK, 0 rows affected (0.01 sec)
Statement prepared

mysql> EXECUTE stmt;
+--------+------------+
| bar_id | bar_weight |
+--------+------------+
|     27 |         90 |
|     47 |         70 |
|     67 |         50 |
|     37 |         40 |
|     57 |         20 |
+--------+------------+
5 rows in set (0.00 sec)

mysql> DEALLOCATE PREPARE stmt;
Query OK, 0 rows affected (0.00 sec)

mysql>

CAVEAT

Notice that the query will cross check all databases in the mysql instance that starts with foo_reference. In the above example, both timpost1 and timpost2 were checked.

Also, notice that the subquery will get 6 rows, and the limit 0,5 properly displays the first 5 rows of the subquery.

Give it a Try !!!

Select data from single table using Self join

Here's how i got it to work:

create table tableone (id int, value int)
insert into tableone values (123,     1);
insert into tableone values (123,     8);
insert into tableone values (234,     8);
insert into tableone values (456,     1);
insert into tableone values (876,     5);
insert into tableone values (876,     1);
insert into tableone values (765,     8);
insert into tableone values (765,     5);
Select a.*
from tableone a
left join tableone X on a.id = x.id and x.value = 8
Where a.value = 1
and X.id is null
drop table tableone

Best Answer

Related Solutions

Mysql – How to select using the same fields from an undetermined number of tables using MySQL

CAVEAT

Select data from single table using Self join

Related Question