sql - Optimize delete operation on table with millions of records -

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I have a table with several columns "Reason" is one of the non-indexed columns, which is the repeated value It is possible. There are two million records in my table. I want to delete rows based on a particular reason, for example "MY REASON", while "MY REASON" has around 15 records.

When I use a standard deleted query as shown below, too much time (approximately 3 or 4 hours). 

  Remove from my_table where reason = 'my reason'; Committed;   
 How can I raise it?  
 This is the execution plan for that:  
  plan hash value: 2164670663 | ID | Operation | Name | Rows | Byte | Cost (% CPU) | Time | -------------------------------------------------- ------------------------------------- | 0 | Delete Statement | | 6190 175K | 101 9 (0) | 10:30:49 | | 1 | Delete | MY_TABLE | | | | | | * 2 | Table access complete. MY_TABLE | 6190 175K | 101 9 (0) | 10:30:49 | -------------------------------------------------- ------------------------------------- Predefined Information (Identification by Operation ID): ---- ----------------------------------------------- 2 - Filters ("REASON" = 'MY REASON')   
 Data for 10rows deletion using the primary key ID:  
  SQL & gt; Set the time; SQL & gt; Set the autotrezes on the data conveying; SQL & gt; Remove from My_table where the id between 194404 and 194414; 11 rows expired: 00: 00: 1 9.33 execution plan -------------------------------- --------- ----------------- Plan hash value: 2403087528 ------------------- --------- ----------------------------------------- --------- --------- | ID | Operation | Name | Rows | Byte | Cost (% CPU) | Time | -------------------------------------------------- ------------------------------------- | 0 | Delete Statement | | 1 | 29 | 1 (0) | 00:00:38 | | 1 | Delete | MY_TABLE | | | | | | * 2 | Index Range Scan | PK_MY_TABLE | 1 | 29 | 1 (0) | 00:00:38 | -------------------------------------------------- ------------------------------------- Predefined Information (Identification by Operation ID): ---- ----------------------------------------------- 2 - access ("Id"> = 194404 and "id" & lt; = 194414) Statistics ------------------------------ - -------------------------- 94 recursive calls 66 becomes DB block 602170 becomes compatible 0 physical reads 8844 Reado size 528 Bytes are sent from SQL * Client 372 Byte SQL * Net received from client 4 to SQL * Client 7/7 times from memory Mortality) Type 0 (disk) 11 rows processed SQL & gt;   
  * The points fixed after adding the child to the table ***  The details have been explored below:  
  Table after adding index for child --------------------------------- SQL & gt; Set the time; SQL & gt; Set the autotrezes on the data conveying; SQL & gt; Remove from MY_TABLE where the ID is between 194241 and 193636; 121 rows have been erased: 00: 00: 01.37 Execution plan ---------------------------------- ------- ----------------- Plan hash value: 2403087528 --------------------- ------- ------------------------------------------- ------- --------- | ID | Operation | Name | Rows | Byte | Cost (% CPU) | Time | -------------------------------------------------- ------------------------------------- | 0 | Delete Statement | | 1 | 29 | 1 (0) | 00:00:38 | | 1 | Delete | MY_TABLE | | | | | | * 2 | Index Range Scan | PK_MY_TABLE | 1 | 29 | 1 (0) | 00:00:38 | -------------------------------------------------- ------------------------------------- Predefined Information (Identification by Operation ID): ---- ----------------------------------------------- 2 - access ("Id"> = 194241 and "id" & lt; = 194361) Statistics ---------------------------- ---- -------------------------- 3 recursive calls becomes 760db block 7 7 physical reads 83968 reedo size 527 byte sql * Net is sent by client * 372 Byte SQL received by client * Net * 5 / net roundtrrips 5 types (client) Re) 0 type (disk) 121 rows processed    
 
 
 On foreign key barriers Check indexed Not only in your  my_table , but in all your databases  
 create missing indexes (one with explicitly temporary names, so that you can easily drop them later )  
 Then try to turn your  delete  back on.

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