"OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) are two types of data processing systems, each designed for specific purposes in the context of database and data warehouse environments.
OLTP (Online Transaction Processing):Purpose: OLTP systems are designed to manage and handle high volumes of transactions, such as inserting, updating, and deleting data. These systems are typically used in day-to-day business operations.
Characteristics: Handles small, si"
Nikunj V. - "OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) are two types of data processing systems, each designed for specific purposes in the context of database and data warehouse environments.
OLTP (Online Transaction Processing):Purpose: OLTP systems are designed to manage and handle high volumes of transactions, such as inserting, updating, and deleting data. These systems are typically used in day-to-day business operations.
Characteristics: Handles small, si"See full answer
"Idempotence refers to the property that the same request multiple times produces the same result on the server side. No matter how many times I repeat the request, the server state does not change after the first request. This concept is important to ensure consistency, especially in systems where requests may be repeated due to network failures or other problems.
Let's take a look at different HTTP methods for a clearer understanding.
GET: By definition, GET requests must be powerless. Execut"
T I. - "Idempotence refers to the property that the same request multiple times produces the same result on the server side. No matter how many times I repeat the request, the server state does not change after the first request. This concept is important to ensure consistency, especially in systems where requests may be repeated due to network failures or other problems.
Let's take a look at different HTTP methods for a clearer understanding.
GET: By definition, GET requests must be powerless. Execut"See full answer
"This is due to sticky sessions.
The load balancer is not correctly configured with sticky session option.
It is likely the servers were storing session data on the server themselves (in-memory), and thus when user makes a request, the load balancer routes this to a different server than the one they started with, that second server may not recognise the user's session. This could prompt the user to log in again.
One way to resolve this, is to use a centralised session storage, something like"
T I. - "This is due to sticky sessions.
The load balancer is not correctly configured with sticky session option.
It is likely the servers were storing session data on the server themselves (in-memory), and thus when user makes a request, the load balancer routes this to a different server than the one they started with, that second server may not recognise the user's session. This could prompt the user to log in again.
One way to resolve this, is to use a centralised session storage, something like"See full answer
"CIDR (Classless Inter-Domain Routing) -- also known as supernetting -- is a method of assigning Internet Protocol (IP) addresses that improves the efficiency of address distribution and replaces the previous system based on Class A, Class B and Class C networks."
Ali H. - "CIDR (Classless Inter-Domain Routing) -- also known as supernetting -- is a method of assigning Internet Protocol (IP) addresses that improves the efficiency of address distribution and replaces the previous system based on Class A, Class B and Class C networks."See full answer
"Caching is a strategy to have the frequently accessed data in the memory to reduce the latency. whenever a client request the data from server, it is first accessed into cache and if not available then it is getting fetched from the storage and stored into cache. As cache is having limited memory, so amount of data can be stored in cache is less. Data will be flushed out from cache based on a criteria which is termed as caching strategy. There could be different mechanisms under which a data can"
Archna M. - "Caching is a strategy to have the frequently accessed data in the memory to reduce the latency. whenever a client request the data from server, it is first accessed into cache and if not available then it is getting fetched from the storage and stored into cache. As cache is having limited memory, so amount of data can be stored in cache is less. Data will be flushed out from cache based on a criteria which is termed as caching strategy. There could be different mechanisms under which a data can"See full answer