Skip to main content
Q- List and explain each of the ACID properties that collectively guarantee that database transactions are processed reliably.

Ans- ACID (Atomicity, Consistency, Isolation, Durability) is a set of properties that guarantee that database transactions are processed reliably. They are defined as follows:
  • Atomicity. Atomicity requires that each transaction be “all or nothing”: if one part of the transaction fails, the entire transaction fails, and the database state is left unchanged. An atomic system must guarantee atomicity in each and every situation, including power failures, errors, and crashes.
  • Consistency. The consistency property ensures that any transaction will bring the database from one valid state to another. Any data written to the database must be valid according to all defined rules, including constraints, cascades, triggers, and any combination thereof.
  • Isolation. The isolation property ensures that the concurrent execution of transactions results in a system state that would be obtained if transactions were executed serially, i.e., one after the other. Providing isolation is the main goal of concurrency control. Depending on concurrency control method (i.e. if it uses strict - as opposed to relaxed - serializability), the effects of an incomplete transaction might not even be visible to another transaction.
  • Durability. Durability means that once a transaction has been committed, it will remain so, even in the event of power loss, crashes, or errors. In a relational database, for instance, once a group of SQL statements execute, the results need to be stored permanently (even if the database crashes immediately thereafter). To defend against power loss, transactions (or their effects) must be recorded in a non-volatile memory.

Comments

Post a Comment

Popular posts from this blog

SQL SERVER – Fix : Error 1702 CREATE TABLE failed because column in table exceeds the maximum of columns

  Error 1702 CREATE TABLE failed because column in table exceeds the maximum of columns SQL Server 2000 supports table with maximum 1024 columns. This errors happens when we try to create table with 1024 columns or try to add columns to table which exceeds more than 1024. Fix/Solution/WorkAround: Reduce the number of columns in the table to 1,024 or less

Select Names from table which have vowels

  Problem Query the list of  CITY  names from  table  which have vowels (i.e.,  a ,  e ,  i ,  o , and  u ) as both their first  and  last characters. Your result cannot contain duplicates. Input Format The  STATION  table is described as follows: Field Type ID NUMBER CITY VARCHAR2(21) STATE VARCHAR2(2) LAT_N NUMBER LONG_W NUMBER STATION where  LAT_N  is the northern latitude and  LONG_W  is the western longitude. MYSQL select distinct city from station where (city like 'a%' or city like 'e%' or city like 'i%' or city like 'o%' or city like 'u%' ) and ( city like '%a' or city like '%e' or city like '%i' or city like '%o' or city like '%u' )

Methods of Rank Rows in SQL Server: ROW_NUMBER(), RANK(), DENSE_RANK() and NTILE()

SQL Server provides us with a number of window functions that help us to perform calculations across a set of rows, without the need to repeat the calls to the database. Unlike the standard aggregate functions, the window functions will not group the rows into a single output row, they will return a single aggregated value for each row, keeping the separate identities for those rows. The Window term here is not related to the Microsoft Windows operating system, it describes the set of rows that the function will process. One of the most useful types of window functions is Ranking Window Functions that are used to rank specific field values and categorize them according to the rank of each row, resulting in a single aggregated value for each participated row. There are four ranking window functions supported in SQL Server;  ROW_NUMBER(),   RANK() ,  DENSE_RANK()  and  NTILE() . All these functions are used to calculate ROWID for the provided rows window in ...