What is the syntax for Varray?

What is the syntax for Varray?

In this syntax: The varray_name is the name of the VARRAY . The type_name is the VARRAY type. The type_name(…) is the constructor of the VARRAY type, which accepts a comma-separated list of elements as arguments.

How can I DELETE duplicate records in Oracle?

To delete duplicate records in Oracle, start by making sure the records are actually duplicates by entering the Standard Query Language, or SQL. After entering “SQL,” search for what you want to delete, like “delete from names where name = ‘Alan. ‘” Then, enter “commit” for this command to take effect.

How can I delete duplicate rows in Oracle without distinct?

Below are alternate solutions :

  1. Remove Duplicates Using Row_Number. WITH CTE (Col1, Col2, Col3, DuplicateCount) AS ( SELECT Col1, Col2, Col3, ROW_NUMBER() OVER(PARTITION BY Col1, Col2, Col3 ORDER BY Col1) AS DuplicateCount FROM MyTable ) SELECT * from CTE Where DuplicateCount = 1.
  2. Remove Duplicates using group By.

How can I delete duplicate records without using Rowid in Oracle?

Comments

  1. Put duplicates in a temp table. Create Table silly_dups as. Select * From evil_table. Group By col1, col2, col3…. Having count(*) > 1;
  2. Remove duplicates from table. Delete From evil_table. where (col1, col2, col3…) in. (Select col1, col2, col3. From silly_dups);
  3. Put duplicate rows back.

How do you avoid duplicates without using distinct?

How can I delete duplicate records in Oracle without primary key?

Use the rowid pseudocolumn. DELETE FROM your_table WHERE rowid not in (SELECT MIN(rowid) FROM your_table GROUP BY column1, column2, column3); Where column1 , column2 , and column3 make up the identifying key for each record. You might list all your columns.

How many ways we can delete duplicate records in Oracle?

Delete duplicate rows from Oracle tables

  1. Delete multiple duplicate rows.
  2. Subquery to identify duplicate rows.
  3. Use RANK to find and remove duplicate table rows.
  4. Use self-join to remove duplicate rows.
  5. Use analytics to detect and remove duplicate rows.
  6. Delete duplicate table rows that contain NULL values.