În această secțiune, învățăm diferite moduri de a șterge rândurile duplicate MySQL și Oracle . Dacă SQL tabelul conține rânduri duplicate, apoi trebuie să eliminăm rândurile duplicate.
Pregătirea probelor de date
Scriptul creează tabelul numit contacte .
DROP TABLE IF EXISTS contacts; CREATE TABLE contacts ( id INT PRIMARY KEY AUTO_INCREMENT, first_name VARCHAR(30) NOT NULL, last_name VARCHAR(25) NOT NULL, email VARCHAR(210) NOT NULL, age VARCHAR(22) NOT NULL );
În tabelul de mai sus, am introdus următoarele date.
INSERT INTO contacts (first_name,last_name,email,age) VALUES ('Kavin','Peterson','[email protected]','21'), ('Nick','Jonas','[email protected]','18'), ('Peter','Heaven','[email protected]','23'), ('Michal','Jackson','[email protected]','22'), ('Sean','Bean','[email protected]','23'), ('Tom ','Baker','[email protected]','20'), ('Ben','Barnes','[email protected]','17'), ('Mischa ','Barton','[email protected]','18'), ('Sean','Bean','[email protected]','16'), ('Eliza','Bennett','[email protected]','25'), ('Michal','Krane','[email protected]','25'), ('Peter','Heaven','[email protected]','20'), ('Brian','Blessed','[email protected]','20'); ('Kavin','Peterson','[email protected]','30'),
Executăm scriptul pentru a recrea datele de testare după executarea unui ȘTERGE afirmație .
jquery la clic
Interogarea returnează date din tabelul de contacte:
SELECT * FROM contacts ORDER BY email;
id | Nume | nume | vârstă | |
7 | Ben | Barnes | [email protected] | douăzeci și unu |
13 | Brian | Binecuvântat | [email protected] | 18 |
10 | Eliza | Bennett | [email protected] | 23 |
1 | Kavin | Peterson | [email protected] | 22 |
14 | Kavin | Peterson | [email protected] | 23 |
8 | Misha | Barton | [email protected] | douăzeci |
unsprezece | Mihai | Apăsări | [email protected] | 17 |
4 | Mihai | Jackson | [email protected] | 18 |
2 | Nick | Jonas | [email protected] | 16 |
3 | Petru | Cer | [email protected] | 25 |
12 | Petru | Cer | [email protected] | 25 |
5 | Sean | Fasole | [email protected] | douăzeci |
9 | Sean | Fasole | [email protected] | douăzeci |
6 | Tom | Brutar | [email protected] | 30 |
Următoarea interogare SQL returnează e-mailurile duplicate din tabelul de contacte:
SELECT email, COUNT(email) FROM contacts GROUP BY email HAVING COUNT (email) > 1;
COUNT(e-mail) | |
[email protected] | 2 |
[email protected] | 2 |
[email protected] | 2 |
Avem trei rânduri cu duplicat e-mailuri.
(A) Ștergeți rândurile duplicate cu instrucțiunea DELETE JOIN
DELETE t1 FROM contacts t1 INNERJOIN contacts t2 WHERE t1.id <t2.id and t1.email="t2.email;" < pre> <p> <strong>Output:</strong> </p> <pre> Query OK, three rows affected (0.10 sec) </pre> <p>Three rows had been deleted. We execute the query, given below to finds the <strong>duplicate emails</strong> from the table.</p> <pre> SELECT email, COUNT (email) FROM contacts GROUP BY email HAVING COUNT (email) > 1; </pre> <p>The query returns the empty set. To verify the data from the contacts table, execute the following SQL query:</p> <pre> SELECT * FROM contacts; </pre> <br> <table class="table"> <tr> <td>id</td> <td>first_name</td> <td>last_name</td> <td>Email</td> <td>age</td> </tr> <tr> <td>7</td> <td>Ben</td> <td>Barnes</td> <td> [email protected] </td> <td>21</td> </tr> <tr> <td>13</td> <td>Brian</td> <td>Blessed</td> <td> [email protected] </td> <td>18</td> </tr> <tr> <td>10</td> <td>Eliza</td> <td>Bennett</td> <td> [email protected] </td> <td>23</td> </tr> <tr> <td>1</td> <td>Kavin</td> <td>Peterson</td> <td> [email protected] </td> <td>22</td> </tr> <tr> <td>8</td> <td>Mischa</td> <td>Barton</td> <td> [email protected] </td> <td>20</td> </tr> <tr> <td>11</td> <td>Micha</td> <td>Krane</td> <td> [email protected] </td> <td>17</td> </tr> <tr> <td>4</td> <td>Michal</td> <td>Jackson</td> <td> [email protected] </td> <td>18</td> </tr> <tr> <td>2</td> <td>Nick</td> <td>Jonas</td> <td> [email protected] </td> <td>16</td> </tr> <tr> <td>3</td> <td>Peter</td> <td>Heaven</td> <td> [email protected] </td> <td>25</td> </tr> <tr> <td>5</td> <td>Sean</td> <td>Bean</td> <td> [email protected] </td> <td>20</td> </tr> <tr> <td>6</td> <td>Tom</td> <td>Baker</td> <td> [email protected] </td> <td>30</td> </tr> </table> <p>The rows <strong>id's 9, 12, and 14</strong> have been deleted. We use the below statement to delete the duplicate rows:</p> <p>Execute the script for <strong>creating</strong> the contact.</p> <pre> DELETE c1 FROM contacts c1 INNERJ OIN contacts c2 WHERE c1.id > c2.id AND c1.email = c2.email; </pre> <br> <table class="table"> <tr> <td>id</td> <td>first_name</td> <td>last_name</td> <td>email</td> <td>age</td> </tr> <tr> <td>1</td> <td>Ben</td> <td>Barnes</td> <td> [email protected] </td> <td>21</td> </tr> <tr> <td>2</td> <td> <strong>Kavin</strong> </td> <td> <strong>Peterson</strong></td> <td> <strong> [email protected] </strong> </td> <td> <strong>22</strong> </td> </tr> <tr> <td>3</td> <td>Brian</td> <td>Blessed</td> <td> [email protected] </td> <td>18</td> </tr> <tr> <td>4</td> <td>Nick</td> <td>Jonas</td> <td> [email protected] </td> <td>16</td> </tr> <tr> <td>5</td> <td>Michal</td> <td>Krane</td> <td> [email protected] </td> <td>17</td> </tr> <tr> <td>6</td> <td>Eliza</td> <td>Bennett</td> <td> [email protected] </td> <td>23</td> </tr> <tr> <td>7</td> <td>Michal</td> <td>Jackson</td> <td> [email protected] </td> <td>18</td> </tr> <tr> <td>8</td> <td> <strong>Sean</strong> </td> <td> <strong>Bean</strong> </td> <td> <strong> [email protected] </strong> </td> <td> <strong>20</strong> </td> </tr> <tr> <td>9</td> <td>Mischa</td> <td>Barton</td> <td> [email protected] </td> <td>20</td> </tr> <tr> <td>10</td> <td> <strong>Peter</strong> </td> <td> <strong>Heaven</strong> </td> <td> <strong> [email protected] </strong> </td> <td> <strong>25</strong> </td> </tr> <tr> <td>11</td> <td>Tom</td> <td>Baker</td> <td> [email protected] </td> <td>30</td> </tr> </table> <h2>(B) Delete duplicate rows using an intermediate table</h2> <p>To delete a duplicate row by using the intermediate table, follow the steps given below:</p> <p> <strong>Step 1</strong> . Create a new table <strong>structure</strong> , same as the real table:</p> <pre> CREATE TABLE source_copy LIKE source; </pre> <p> <strong>Step 2</strong> . Insert the distinct rows from the original schedule of the database:</p> <pre> INSERT INTO source_copy SELECT * FROM source GROUP BY col; </pre> <p> <strong>Step 3</strong> . Drop the original table and rename the immediate table to the original one.</p> <pre> DROP TABLE source; ALTER TABLE source_copy RENAME TO source; </pre> <p>For example, the following statements delete the <strong>rows</strong> with <strong>duplicate</strong> emails from the contacts table:</p> <pre> -- step 1 CREATE TABLE contacts_temp LIKE contacts; -- step 2 INSERT INTO contacts_temp SELECT * FROM contacts GROUP BY email; -- step 3 DROP TABLE contacts; ALTER TABLE contacts_temp RENAME TO contacts; </pre> <h2>(C) Delete duplicate rows using the ROW_NUMBER() Function</h2> <h4>Note: The ROW_NUMBER() function has been supported since MySQL version 8.02, so we should check our MySQL version before using the function.</h4> <p>The following statement uses the <strong>ROW_NUMBER ()</strong> to assign a sequential integer to every row. If the email is duplicate, the row will higher than one.</p> <pre> SELECT id, email, ROW_NUMBER() OVER (PARTITION BY email ORDER BY email ) AS row_num FROM contacts; </pre> <p>The following SQL query returns <strong>id list</strong> of the duplicate rows:</p> <pre> SELECT id FROM (SELECT id, ROW_NUMBER() OVER ( PARTITION BY email ORDER BY email) AS row_num FROM contacts ) t WHERE row_num> 1; </pre> <p> <strong>Output:</strong> </p> <table class="table"> <tr> <td>id</td> </tr> <tr> <td>9</td> </tr> <tr> <td>12</td> </tr> <tr> <td>14</td> </tr> </table> <h2>Delete Duplicate Records in Oracle</h2> <p>When we found the duplicate records in the table, we had to delete the unwanted copies to keep our data clean and unique. If a table has duplicate rows, we can delete it by using the <strong>DELETE</strong> statement.</p> <p>In the case, we have a column, which is not the part of <strong>group</strong> used to <strong>evaluate</strong> the <strong>duplicate</strong> records in the table.</p> <p>Consider the table given below:</p> <table class="table"> <tr> <td>VEGETABLE_ID</td> <td>VEGETABLE_NAME</td> <td>COLOR</td> </tr> <tr> <td>01</td> <td>Potato</td> <td>Brown</td> </tr> <tr> <td>02</td> <td>Potato</td> <td>Brown</td> </tr> <tr> <td>03</td> <td>Onion</td> <td>Red</td> </tr> <tr> <td>04</td> <td>Onion</td> <td>Red</td> </tr> <tr> <td>05</td> <td>Onion</td> <td>Red</td> </tr> <tr> <td>06</td> <td>Pumpkin</td> <td>Green</td> </tr> <tr> <td>07</td> <td>Pumpkin</td> <td>Yellow</td> </tr> </table> <br> <pre> -- create the vegetable table CREATE TABLE vegetables ( VEGETABLE_ID NUMBER generated BY DEFAULT AS ID ENTITY, VEGETABLE_NAME VARCHAR2(100), color VARCHAR2(20), PRIMARY KEY (VEGETABLE_ID) ); </pre> <br> <pre> -- insert sample rows INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Potato','Brown'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Potato','Brown'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Onion','Red'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Onion','Red'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Onion','Red'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Pumpkin','Green'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Pumpkin','Yellow'); </pre> <br> <pre> -- query data from the vegetable table SELECT * FROM vegetables; </pre> <p>Suppose, we want to keep the row with the highest <strong>VEGETABLE_ID</strong> and delete all other copies.</p> <pre> SELECT MAX (VEGETABLE_ID) FROM vegetables GROUP BY VEGETABLE_NAME, color ORDER BY MAX(VEGETABLE_ID); </pre> <br> <table class="table"> <tr> <td>MAX(VEGETABLE_ID)</td> </tr> <tr> <td>2</td> </tr> <tr> <td>5</td> </tr> <tr> <td>6</td> </tr> <tr> <td>7</td> </tr> </table> <p>We use the <strong>DELETE</strong> statement to delete the rows whose values in the <strong>VEGETABLE_ID COLUMN</strong> are not the <strong>highest</strong> .</p> <pre> DELETE FROM vegetables WHERE VEGETABLE_IDNOTIN ( SELECT MAX(VEGETABLE_ID) FROM vegetables GROUP BY VEGETABLE_NAME, color ); </pre> <p>Three rows have been deleted.</p> <pre> SELECT *FROM vegetables; </pre> <br> <table class="table"> <tr> <td>VEGETABLE_ID</td> <td>VEGETABLE_NAME</td> <td>COLOR</td> </tr> <tr> <td> <strong>02</strong> </td> <td>Potato</td> <td>Brown</td> </tr> <tr> <td> <strong>05</strong> </td> <td>Onion</td> <td>Red</td> </tr> <tr> <td> <strong>06</strong> </td> <td>Pumpkin</td> <td>Green</td> </tr> <tr> <td> <strong>07</strong> </td> <td><pumpkin td> <td>Yellow</td> </pumpkin></td></tr> </table> <p>If we want to keep the row with the lowest id, use the <strong>MIN()</strong> function instead of the <strong>MAX()</strong> function.</p> <pre> DELETE FROM vegetables WHERE VEGETABLE_IDNOTIN ( SELECT MIN(VEGETABLE_ID) FROM vegetables GROUP BY VEGETABLE_NAME, color ); </pre> <p>The above method works if we have a column that is not part of the group for evaluating duplicate. If all values in the columns have copies, then we cannot use the <strong>VEGETABLE_ID</strong> column.</p> <p>Let's drop and create the <strong>vegetable</strong> table with a new structure.</p> <pre> DROP TABLE vegetables; CREATE TABLE vegetables ( VEGETABLE_ID NUMBER, VEGETABLE_NAME VARCHAR2(100), Color VARCHAR2(20) ); </pre> <br> <pre> INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES(1,'Potato','Brown'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES(1, 'Potato','Brown'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color)VALUES(2,'Onion','Red'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color)VALUES(2,'Onion','Red'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES(2,'Onion','Red'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES(3,'Pumpkin','Green'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES('4,Pumpkin','Yellow'); SELECT * FROM vegetables; </pre> <br> <table class="table"> <tr> <td>VEGETABLE_ID</td> <td>VEGETABLE_NAME</td> <td>COLOR</td> </tr> <tr> <td>01</td> <td>Potato</td> <td>Brown</td> </tr> <tr> <td>01</td> <td>Potato</td> <td>Brown</td> </tr> <tr> <td>02</td> <td>Onion</td> <td>Red</td> </tr> <tr> <td>02</td> <td>Onion</td> <td>Red</td> </tr> <tr> <td>02</td> <td>Onion</td> <td>Red</td> </tr> <tr> <td>03</td> <td>Pumpkin</td> <td>Green</td> </tr> <tr> <td>04</td> <td>Pumpkin</td> <td>Yellow</td> </tr> </table> <p>In the vegetable table, the values in all columns <strong>VEGETABLE_ID, VEGETABLE_NAME</strong> , and color have been copied.</p> <p>We can use the <strong>rowid</strong> , a locator that specifies where Oracle stores the row. Because the <strong>rowid</strong> is unique so that we can use it to remove the duplicates rows.</p> <pre> DELETE FROM Vegetables WHERE rowed NOT IN ( SELECT MIN(rowid) FROM vegetables GROUP BY VEGETABLE_ID, VEGETABLE_NAME, color ); </pre> <p>The query verifies the deletion operation:</p> <pre> SELECT * FROM vegetables; </pre> <br> <table class="table"> <tr> <td>VEGETABLE_ID</td> <td>VEGETABLE_NAME</td> <td>COLOR</td> </tr> <tr> <td>01</td> <td>Potato</td> <td>Brown</td> </tr> <tr> <td>02</td> <td>Onion</td> <td>Red</td> </tr> <tr> <td>03</td> <td>Pumpkin</td> <td>Green</td> </tr> <tr> <td>04</td> <td>Pumpkin</td> <td>Yellow</td> </tr> </table> <hr></t2.id>
Trei rânduri au fost șterse. Executăm interogarea, dată mai jos pentru a găsi e-mailuri duplicate de la masă.
SELECT email, COUNT (email) FROM contacts GROUP BY email HAVING COUNT (email) > 1;
Interogarea returnează setul gol. Pentru a verifica datele din tabelul de contacte, executați următoarea interogare SQL:
SELECT * FROM contacts;
id | Nume | nume | vârstă | |
7 | Ben | Barnes | [email protected] | douăzeci și unu |
13 | Brian | Binecuvântat | [email protected] | 18 |
10 | Eliza | Bennett | [email protected] | 23 |
1 | Kavin | Peterson | [email protected] | 22 |
8 | Misha | Barton | [email protected] | douăzeci |
unsprezece | Mihai | Apăsări | [email protected] | 17 |
4 | Mihai | Jackson | [email protected] | 18 |
2 | Nick | Jonas | [email protected] | 16 |
3 | Petru | Cer | [email protected] | 25 |
5 | Sean | Fasole | [email protected] | douăzeci |
6 | Tom | Brutar | [email protected] | 30 |
Rândurile ID-ul 9, 12 și 14 au fost șterse. Folosim instrucțiunea de mai jos pentru a șterge rândurile duplicate:
cadru de primăvară
Executați scriptul pentru crearea contactul.
DELETE c1 FROM contacts c1 INNERJ OIN contacts c2 WHERE c1.id > c2.id AND c1.email = c2.email;
id | Nume | nume | vârstă | |
1 | Ben | Barnes | [email protected] | douăzeci și unu |
2 | Kavin | Peterson | [email protected] | 22 |
3 | Brian | Binecuvântat | [email protected] | 18 |
4 | Nick | Jonas | [email protected] | 16 |
5 | Mihai | Apăsări | [email protected] | 17 |
6 | Eliza | Bennett | [email protected] | 23 |
7 | Mihai | Jackson | [email protected] | 18 |
8 | Sean | Fasole | [email protected] | douăzeci |
9 | Misha | Barton | [email protected] | douăzeci |
10 | Petru | Cer | [email protected] | 25 |
unsprezece | Tom | Brutar | [email protected] | 30 |
(B) Ștergeți rândurile duplicate folosind un tabel intermediar
Pentru a șterge un rând duplicat utilizând tabelul intermediar, urmați pașii de mai jos:
Pasul 1 . Creați un tabel nou structura , la fel ca tabelul real:
CREATE TABLE source_copy LIKE source;
Pasul 2 . Introduceți rândurile distincte din programul original al bazei de date:
INSERT INTO source_copy SELECT * FROM source GROUP BY col;
Pasul 3 . Aruncă tabelul original și redenumește tabelul imediat în cel original.
DROP TABLE source; ALTER TABLE source_copy RENAME TO source;
De exemplu, următoarele afirmații șterg rânduri cu duplicat e-mailuri din tabelul de contacte:
-- step 1 CREATE TABLE contacts_temp LIKE contacts; -- step 2 INSERT INTO contacts_temp SELECT * FROM contacts GROUP BY email; -- step 3 DROP TABLE contacts; ALTER TABLE contacts_temp RENAME TO contacts;
(C) Ștergeți rândurile duplicate folosind funcția ROW_NUMBER().
Notă: Funcția ROW_NUMBER() a fost acceptată începând cu versiunea MySQL 8.02, așa că ar trebui să verificăm versiunea noastră MySQL înainte de a folosi funcția.
Următoarea afirmație folosește ROW_NUMBER () pentru a atribui un întreg secvenţial fiecărui rând. Dacă e-mailul este duplicat, rândul va fi mai mare decât unul.
SELECT id, email, ROW_NUMBER() OVER (PARTITION BY email ORDER BY email ) AS row_num FROM contacts;
Următoarea interogare SQL returnează lista de id-uri dintre rândurile duplicate:
ce este o stivă java
SELECT id FROM (SELECT id, ROW_NUMBER() OVER ( PARTITION BY email ORDER BY email) AS row_num FROM contacts ) t WHERE row_num> 1;
Ieșire:
matrice de octeți java în șir
id |
9 |
12 |
14 |
Ștergeți înregistrările duplicate în Oracle
Când am găsit înregistrările duplicate în tabel, a trebuit să ștergem copiile nedorite pentru a ne păstra datele curate și unice. Dacă un tabel are rânduri duplicat, îl putem șterge folosind ȘTERGE afirmație.
În acest caz, avem o coloană, care nu face parte din grup folosit pentru a evalua cel duplicat înregistrările din tabel.
Luați în considerare tabelul de mai jos:
VEGETABLE_ID | VEGETABLE_NAME | CULOARE |
01 | Cartof | Maro |
02 | Cartof | Maro |
03 | Ceapă | roșu |
04 | Ceapă | roșu |
05 | Ceapă | roșu |
06 | Dovleac | Verde |
07 | Dovleac | Galben |
-- create the vegetable table CREATE TABLE vegetables ( VEGETABLE_ID NUMBER generated BY DEFAULT AS ID ENTITY, VEGETABLE_NAME VARCHAR2(100), color VARCHAR2(20), PRIMARY KEY (VEGETABLE_ID) );
-- insert sample rows INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Potato','Brown'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Potato','Brown'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Onion','Red'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Onion','Red'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Onion','Red'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Pumpkin','Green'); INSERT INTO vegetables (VEGETABLE_NAME,color) VALUES('Pumpkin','Yellow');
-- query data from the vegetable table SELECT * FROM vegetables;
Să presupunem că vrem să păstrăm rândul cu cel mai înalt VEGETABLE_ID și ștergeți toate celelalte copii.
SELECT MAX (VEGETABLE_ID) FROM vegetables GROUP BY VEGETABLE_NAME, color ORDER BY MAX(VEGETABLE_ID);
MAX(VEGETABLE_ID) |
2 |
5 |
6 |
7 |
Noi folosim ȘTERGE instrucțiune pentru a șterge rândurile ale căror valori în VEGETABLE_ID COLUMN nu sunt cele cel mai inalt .
DELETE FROM vegetables WHERE VEGETABLE_IDNOTIN ( SELECT MAX(VEGETABLE_ID) FROM vegetables GROUP BY VEGETABLE_NAME, color );
Trei rânduri au fost șterse.
SELECT *FROM vegetables;
VEGETABLE_ID | VEGETABLE_NAME | CULOARE |
02 | Cartof | Maro |
05 | Ceapă | roșu |
06 | Dovleac | Verde |
07 | Galben | |
Dacă vrem să păstrăm rândul cu cel mai mic ID, folosiți MIN() funcția în loc de MAX() funcţie.
primavara mvc
DELETE FROM vegetables WHERE VEGETABLE_IDNOTIN ( SELECT MIN(VEGETABLE_ID) FROM vegetables GROUP BY VEGETABLE_NAME, color );
Metoda de mai sus funcționează dacă avem o coloană care nu face parte din grupul de evaluare a duplicatului. Dacă toate valorile din coloane au copii, atunci nu putem folosi VEGETABLE_ID coloană.
Să renunțăm și să creăm vegetal masă cu o nouă structură.
DROP TABLE vegetables; CREATE TABLE vegetables ( VEGETABLE_ID NUMBER, VEGETABLE_NAME VARCHAR2(100), Color VARCHAR2(20) );
INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES(1,'Potato','Brown'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES(1, 'Potato','Brown'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color)VALUES(2,'Onion','Red'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color)VALUES(2,'Onion','Red'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES(2,'Onion','Red'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES(3,'Pumpkin','Green'); INSERT INTO vegetables (VEGETABLE_ID,VEGETABLE_NAME,color) VALUES('4,Pumpkin','Yellow'); SELECT * FROM vegetables;
VEGETABLE_ID | VEGETABLE_NAME | CULOARE |
01 | Cartof | Maro |
01 | Cartof | Maro |
02 | Ceapă | roșu |
02 | Ceapă | roșu |
02 | Ceapă | roșu |
03 | Dovleac | Verde |
04 | Dovleac | Galben |
În tabelul cu legume, valorile din toate coloanele VEGETABLE_ID, VEGETABLE_NAME , și culoarea au fost copiate.
Putem folosi zgomotos , un locator care specifică locul în care Oracle stochează rândul. Deoarece zgomotos este unic, astfel încât să îl putem folosi pentru a elimina rândurile duplicate.
DELETE FROM Vegetables WHERE rowed NOT IN ( SELECT MIN(rowid) FROM vegetables GROUP BY VEGETABLE_ID, VEGETABLE_NAME, color );
Interogarea verifică operația de ștergere:
SELECT * FROM vegetables;
VEGETABLE_ID | VEGETABLE_NAME | CULOARE |
01 | Cartof | Maro |
02 | Ceapă | roșu |
03 | Dovleac | Verde |
04 | Dovleac | Galben |