Pool valuable system resources like threads, database connections, socket connections etc. Emphasize on reuse of threads from a pool of threads. Creating new threads and discarding them after use can adversely affect performance. Also consider using multi-threading in your single-threaded applications where possible to enhance performance. Optimize the pool sizes based on system and application specifications and requirements. Having too many threads in a pool also can result in performance and scalability problems due to consumption of memory stacks (i.e. each thread has its own stack. Refer Q34, Q42 in Java section) and CPU context switching (i.e. switching between threads as opposed to doing real computation.).
Minimize network overheads by retrieving several related items simultaneously in one remote invocation if possible. Remote method invocations involve a network round-trip, marshaling and unmarshaling of parameters, which can cause huge performance problems if the remote interface is poorly designed.
Most applications need to retrieve data from and save/update data into one or more databases. Database calls are remote calls over the network. In general data should be lazily loaded (i.e. load only when required as opposed to pre-loading from the database with a view that it can be used later) from a database to conserve memory but there are use cases (i.e. need to make several database calls) where eagerly loading data and caching can improve performance by minimizing network trips to the database. Data can be eagerly loaded with a help of SQL scripts with complex joins or stored procedures and cached using third party frameworks or building your own framework.
Now the Question arises How would you refresh your cache?
Following strategies can be used:
1. Timed cache strategy where the cache can be replenished periodically (i.e. every 30 minutes, every hour etc). This is a simple strategy applicable when it is acceptable to show dirty data at times and also the data in the database does not change very frequently.
2. Dirty check strategy where your application is the only one which can mutate (i.e. modify) the data in the database. You can set a “isDirty” flag to true when the data is modified in the database through your application and consequently your cache can be refreshed based on the “isDirty” flag.
How would you refresh your cache if your database is shared by more than one application?
You could use one of the following strategies:
1. Database triggers: You could use database triggers to communicate between applications sharing the same database and write pollers which polls the database periodically to determine when the cache should be refreshed.
2. XML messaging :- To communicate between other applications sharing the same database or separate databases to determine when the cache should be refreshed.
How to Reset Arraylist In Java
How HashMap Work in Java
Why wait (), notify () and notifyAll () must be called from synchronized block or method in Java
XPath to locate Information in XML
Internals of Garbage Collector
Reference Type in Java
Different Ways to Create ObjectClass Loaders in Java
Producer Consumer Problem
Why String is Final in Java
Singleton Class using Enum
JSON tutorial
Exceptional Handling in Java
Minimize network overheads by retrieving several related items simultaneously in one remote invocation if possible. Remote method invocations involve a network round-trip, marshaling and unmarshaling of parameters, which can cause huge performance problems if the remote interface is poorly designed.
Most applications need to retrieve data from and save/update data into one or more databases. Database calls are remote calls over the network. In general data should be lazily loaded (i.e. load only when required as opposed to pre-loading from the database with a view that it can be used later) from a database to conserve memory but there are use cases (i.e. need to make several database calls) where eagerly loading data and caching can improve performance by minimizing network trips to the database. Data can be eagerly loaded with a help of SQL scripts with complex joins or stored procedures and cached using third party frameworks or building your own framework.
Now the Question arises How would you refresh your cache?
Following strategies can be used:
1. Timed cache strategy where the cache can be replenished periodically (i.e. every 30 minutes, every hour etc). This is a simple strategy applicable when it is acceptable to show dirty data at times and also the data in the database does not change very frequently.
2. Dirty check strategy where your application is the only one which can mutate (i.e. modify) the data in the database. You can set a “isDirty” flag to true when the data is modified in the database through your application and consequently your cache can be refreshed based on the “isDirty” flag.
How would you refresh your cache if your database is shared by more than one application?
You could use one of the following strategies:
1. Database triggers: You could use database triggers to communicate between applications sharing the same database and write pollers which polls the database periodically to determine when the cache should be refreshed.
2. XML messaging :- To communicate between other applications sharing the same database or separate databases to determine when the cache should be refreshed.
Read More
Java 7 featuresHow to Reset Arraylist In Java
How HashMap Work in Java
Why wait (), notify () and notifyAll () must be called from synchronized block or method in Java
XPath to locate Information in XML
Internals of Garbage Collector
Reference Type in Java
Different Ways to Create ObjectClass Loaders in Java
Producer Consumer Problem
Why String is Final in Java
Singleton Class using Enum
JSON tutorial
Exceptional Handling in Java
No comments:
Post a Comment