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Difference between DELETE and DROP in SQL

Main Difference

In the structured query language, the DELETE option helps to remove all the unnecessary or unwanted records from the table by defining a subset for deletion. In the structured query language, the DROP option contributes to removing all the data including the table definition, its indexes, information, triggers, constraints and the permissions given for that table.

Comparison Chart

Basis of Distinction DELETE in SQL DROP in SQL
Definition Helps to remove all the unnecessary or unwanted records from the table by defining a subset for deletion. Contributes to removing all the data including the table definition, its indexes, information, triggers, constraints and the permissions given for that table.
Usage Manage the data as we remove the terms not required or edit them to add new values. Removes all the database that exists and helps to create a new table instead of managing the older.
Name Data Manipulation Language command. Data Definition Language command.
Clause Only WHERE clause has any relevance. No clause exists that has any use.
Retrieval retrieving the data and rolling back the action is possible for the latest value. Retrieving becomes impossible.

DELETE in SQL

In the structured query language, the DELETE option helps to remove all the unnecessary or unwanted records from the table by defining a subset for deletion. In the database, structured query language (SQL), the DELETE articulation expels at least one records from a table. A subset might get characterized for erasure utilizing a condition. Generally, all files are evacuated. Some DBMSs, like MySQL, permit cancellation of columns from numerous tables with one DELETE proclamation this is in some cases called multi-table DELETE. It is conceivable to erase all columns in a table without erasing the table. It implies the table structure, qualities, and lists will be in place. It can utilize the WHERE provision with a DELETE question to erase the chosen lines. Generally, every one of the records would be eliminated. Executing a DELETE explanation can make triggers run that can cause clears in different tables. For instance, if two tables become connected by an outside core and lines in the referenced table are cleared, at that point, it is normal that columns in the referencing table would likewise be wiped to keep up referential trustworthiness. Assume there is a primary database that rundowns individuals and locations. More than one person can inhabit a particular address, and a man can occupy more than one address. If you do exclude the WHERE statement every one of the lines in the table is erased, so be watchful while composing a DELETE inquiry without WHERE clause.

DROP in SQL

In the structured query language, the DROP option contributes to removing all the data including the table definition, its indexes, information, triggers, constraints and the permissions given for that table. The SQL DROP TABLE proclamation is utilized to expel a table definition and every one of the information, lists, triggers, requirements and authorization determinations for that table. You ought to be extremely watchful while utilizing this order because once a table is erased, then all the data accessible in that table will likewise be lost until the end of time. The drop table order is utilized to delete a table and all lines in the table. To wipe out a whole table including most its columns, issue the drop table summon taken after by the table name. Clearing the greater part of the records in the table leaves the table including section and limitation data. Dropping the table expels the table definition and the more significant part of its lines. On the off chance that a table gets dropped, every one of the associations with different tables will at no time in the future be substantial; the uprightness imperatives will be lost, allow or get to benefits on the table will likewise be cut. If you need to utilize the table again, it must be reproduced with the honesty requirements, get to benefits and the associations with different tables ought to set up once more. If a table gets truncated, the table structure continues as before, in this manner any of the above issues won’t exist.

Key Differences

  • In the structured query language, the DELETE option helps to remove all the unnecessary or unwanted records from the table by defining a subset for deletion. On the other hand, in the structured query language, the DROP option contributes to removing all the data including the table definition, its indexes, information, triggers, constraints and the permissions given for that table.
  • DELETE option helps to manage the data as we remove the terms not required or edit them to add new values. On the other hand, DROP removes all the database that exists and helps to create a new table instead of managing the older.
  • DELETE has the description of Data Manipulation Language command. On the other hand, DROP has the description of Data Definition Language command.
  • No clause exists that has any use along with the DROP command, and therefore it acts individually. On the other hand, only WHERE clause has any relevance with the DELETE command.
  • Once an action is performed during the DELETE command, retrieving the data and rolling back the action is possible for the latest value. On the other hand, once an action occurs during the rollback command, retrieving becomes impossible.
  • When we use, the DELETE option the memory existing within the program stays specified with the table. On the other hand, the memory space becomes freed when DROP options implements.
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