With JDBC, developer has to write code to map an object model's data representation to a relational data model and its corresponding database schema.
Hibernate is flexible and powerful ORM solution to map Java classes to database tables. Hibernate itself takes care of this mapping using XML files so developer does not need to write code for this.
With JDBC, the automatic mapping of Java objects with database tables and vice versa conversion is to be taken care of by the developer manually with lines of code.
Hibernate provides transparent persistence and developer does not need to write code explicitly to map database tables tuples to application objects during interaction with RDBMS.
JDBC supports only native Structured Query Language (SQL). Developer has to find out the efficient way to access database, i.e. to select effective query from a number of queries to perform same task.
Hibernate provides a powerful query language Hibernate Query Language (independent from type of database) that is expressed in a familiar SQL like syntax and includes full support for polymorphic queries. Hibernate also supports native SQL statements. It also selects an effective way to perform a database manipulation task for an application.
Application using JDBC to handle persistent data (database tables) having database specific code in large amount. The code written to map table data to application objects and vice versa is actually to map table fields to object properties. As table changed or database changed then it’s essential to change object structure as well as to change code written to map table-to-object/object-to-table.
Hibernate provides this mapping itself. The actual mapping between tables and application objects is done in XML files. If there is change in Database or in any table then the only need to change XML file properties.
With JDBC, it is developer’s responsibility to handle JDBC result set and convert it to Java objects through code to use this persistent data in application. So with JDBC, mapping between Java objects and database tables is done manually.
Hibernate reduces lines of code by maintaining object-table mapping itself and returns result to application in form of Java objects. It relieves programmer from manual handling of persistent data, hence reducing the development time and maintenance cost.
With JDBC, caching is maintained by hand-coding.
Hibernate, with Transparent Persistence, cache is set to application work space. Relational tuples are moved to this cache as a result of query. It improves performance if client application reads same data many times for same write. Automatic Transparent Persistence allows the developer to concentrate more on business logic rather than this application code.
In JDBC there is no check that always every user has updated data. This check has to be added by the developer.
Hibernate enables developer to define version type field to application, due to this defined field Hibernate updates version field of database table every time relational tuple is updated in form of Java class object to that table. So if two users retrieve same tuple and then modify it and one user save this modified tuple to database, version is automatically updated for this tuple by Hibernate. When other user tries to save updated tuple to database then it does not allow saving it because this user does not have updated data.
i) Security thread: Rs.10, Rs.20 and Rs.50 notes contain a readable but fully embedded security windowed security thread. Rs.100, Rs.500 and Rs.1000 notes contain a readable windowed security thread. This thread is partially exposed and partially embedded. When held against light, this thread can be seen as one continuous line. Other than on Rs.1000 notes, this thread contains the words 'Bharat' in the devnagri script and 'RBI' appearing alternately. The security thread of the Rs.1000 note contains the inscription 'Bharat' in the devnagri script, '1000' and 'RBI'. Notes issued earlier have a plain, non-readable fully embedded security thread.ii) Latent Image: A vertical band behind on the right side of the Mahatma Gandhi’s portrait, which contains a latent image, showing the denominational value 20, 50, 100, 500 or 1000 as the case may be. The value can be seen only when the note is held on the palm and light allowed to fall on it at 45° ; otherwise this feature appears only as a vertical band.
iii) Microletterings: This feature appears between the vertical band and Mahatma Gandhi portrait. It contains the word ‘RBI’ in Rs.10. Notes of Rs.20 and above also contain the denominational value of the notes. This feature can be seen better under a magnifying glass.
iv) Identification mark: A special intaglio feature has been introduced on the left of the watermark window on all notes except Rs.10/- note. This feature is in different shapes for various denominations (Rs.20-Vertical Rectangle, Rs.50-Square, Rs.100-Triangle, Rs.500-Circle, Rs.1000-Diamond) and helps the visually impaired to identify the denomination.
v) Intaglio Printing: The portrait of Mahatma Gandhi, Reserve Bank seal, guarantee and promise clause, Ashoka Pillar Emblem on the left, RBI Governor's signature are printed in intaglio i.e. in raised prints in Rs.20, Rs.50, Rs.100, Rs.500 and Rs.1000 notes.vi) Fluorescence: The number panels of the notes are printed in fluorescent ink. The notes also have optical fibres. Both can be seen when the notes are exposed to ultra-violet lamp.
vii) Optically Variable Ink: The numeral 500 & 1000 on the Rs.500 [revised colour scheme of mild yellow, mauve and brown] and Rs.1000 notes are printed in Optically Variable Ink viz., a colour-shifting ink. The colour of these numerals appear green when the notes are held flat but would change to blue when the notes are held at an angle.ForgeriesHow does one differentiate between a genuine note and a forged note? The notes on which the above features are not available can be suspected as forged notes and examined minutely.
For your local program (for example - say you have written a standalone DOM xml parser or any memory intensive program on which you want to check GC* usage).
In RAD (for IBM JVM) --> right click on the java class --> goto "Run As" --> goto "Run configurations" --> goto "Arguments" tab in the pop-up --> set the below under VM arguments
-Xverbosegclog:D:\Your_Path\Your_Sub_Path\jvm.log On a Sun JVM:-Xloggc:C:\Your_Path\jvm.log -verbose:gc -XX:+PrintGCDateStamps (if there are spaces in folder or file names, it will be interpreted as another VM argument) Then Run your program. GC details will be logged in that file (jvm.log in this case) * GC- Garbage Collector Referene:
The Java Virtual Machine (JVM) is an abstract computing machine. The JVM is a program that looks like a machine to the programs written to execute in it. This way, Java programs are written to the same set of interfaces and libraries. Each JVM implementation for a specific operating system, translates the Java programming instructions into instructions and commands that run on the local operating system. This way, Java programs achieve platform independence.
The Java virtual machine knows nothing of the Java programming language, only of a particular binary format, the class file format. A class file contains Java virtual machine instructions (or bytecodes) and a symbol table, as well as other ancillary information.
For the sake of security, the Java virtual machine imposes strong syntactic and structural constraints on the code in a class file. However, any language with functionality that can be expressed in terms of a valid class file can be hosted by the Java virtual machine. Attracted by a generally available, machine-independent platform, implementors of other languages can turn to the Java virtual machine as a delivery vehicle for their languages.
Exploring the JVM Architecture
Hotspot Architecture
The HotSpot JVM possesses an architecture that supports a strong foundation of features and capabilities and supports the ability to realize high performance and massive scalability. For example, the HotSpot JVM JIT compilers generate dynamic optimizations. In other words, they make optimization decisions while the Java application is running and generate high-performing native machine instructions targeted for the underlying system architecture. In addition, through the maturing evolution and continuous engineering of its runtime environment and multithreaded garbage collector, the HotSpot JVM yields high scalability on even the largest available computer systems.
The main components of the JVM include the classloader, the runtime data areas, and the execution engine.
Key Hotspot Components
The key components of the JVM that relate to performance are highlighted in the following image.
There are three components of the JVM that are focused on when tuning performance. The heap is where your object data is stored. This area is then managed by the garbage collector selected at startup. Most tuning options relate to sizing the heap and choosing the most appropriate garbage collector for your situation. The JIT compiler also has a big impact on performance but rarely requires tuning with the newer versions of the JVM.
•Eden Space (heap): The pool from which memory is initially allocated for most objects. •Survivor Space (heap): The pool containing objects that have survived the garbage collection of the Eden space. •Tenured Space (heap): The pool containing objects that have existed for some time in the survivor space. •Perm Space (non-heap): The pool containing all the reflective data of the virtual machine itself, such as class and method objects. With Java VMs that use class data sharing, this generation is divided into read-only and read-write areas. •Code Cache (non-heap): The HotSpot Java VM also includes a code cache, containing memory that is used for compilation and storage of native code.
