The document discusses various aspects of working with result sets and transactions in Java database connectivity including how to navigate a result set, update result set values, retrieve metadata, use prepared statements and callable statements, and manage transactions through committing, rolling back, and setting the auto commit status. Key methods for working with result sets such as next(), previous(), getString(), and updateRow() are described along with an example of updating a database table using a result set.
Example of using Kotlin lang features for writing DSL for Spark-Cassandra connector. Comparison Kotlin lang DSL features with similar features in others JVM languages (Scala, Groovy).
Clojure is a new language that combines the power of Lisp with an existing hosted VM ecosystem (the Java VM). Clojure is a dynamically typed, functional, compiled language with performance on par with Java.
At the heart of all programming lies the need for abstraction, be it abstraction over our data or abstraction over the processes that operate upon it. Clojure provides a core set of powerful abstractions and ways to compose them. These abstractions are based in a heritage of Lisp but also cover many aspects of object-oriented programming as well.
This talk will examine these abstractions and introduce you to both Clojure and functional programming. Attendees are not expected to be familiar with either Clojure or FP.
Example of using Kotlin lang features for writing DSL for Spark-Cassandra connector. Comparison Kotlin lang DSL features with similar features in others JVM languages (Scala, Groovy).
Clojure is a new language that combines the power of Lisp with an existing hosted VM ecosystem (the Java VM). Clojure is a dynamically typed, functional, compiled language with performance on par with Java.
At the heart of all programming lies the need for abstraction, be it abstraction over our data or abstraction over the processes that operate upon it. Clojure provides a core set of powerful abstractions and ways to compose them. These abstractions are based in a heritage of Lisp but also cover many aspects of object-oriented programming as well.
This talk will examine these abstractions and introduce you to both Clojure and functional programming. Attendees are not expected to be familiar with either Clojure or FP.
Short (45 min) version of my 'Pragmatic Real-World Scala' talk. Discussing patterns and idioms discovered during 1.5 years of building a production system for finance; portfolio management and simulation.
Polyglot Persistence in the Real World: Cassandra + S3 + MapReducethumbtacktech
This talk focuses on building a system from scratch, showing how to perform analytical queries in near real-time and still get the benefits of high performance database engine of Cassandra. The key subjects of my speech are:
● The splendors and miseries of NoSQL
● Apache Cassandra use-cases
● Difficulties of using MapReduce directly in Cassandra
● Amazon cloud solutions: Elastic MapReduce and S3
● “real-enough” time analysis
In particular the talk dives into ways of handling different kinds of semi-ad-hoc queries when using Cassandra, the pitfalls in designing a schema around a specific analytics use case. Some attention will be paid towards dealing with time series data in particular, which can present a real problem when using Column-Family or Key-Value store databases.
Mobile Fest 2018. Александр Корин. БолеутоляющееMobileFest2018
Наш код - это наша боль. Как бы крут он не был, как бы хорошо не был написан, возвращаясь к нему через год мы ощущаем стыд за то, что мы натворили. За несколько лет сей стыд перерастает в боль за бессмыссленно потраченное время жизни. Мы обсудим болеутоляющие, данные нам возможностями Swift и моим больным воображением
Short (45 min) version of my 'Pragmatic Real-World Scala' talk. Discussing patterns and idioms discovered during 1.5 years of building a production system for finance; portfolio management and simulation.
Polyglot Persistence in the Real World: Cassandra + S3 + MapReducethumbtacktech
This talk focuses on building a system from scratch, showing how to perform analytical queries in near real-time and still get the benefits of high performance database engine of Cassandra. The key subjects of my speech are:
● The splendors and miseries of NoSQL
● Apache Cassandra use-cases
● Difficulties of using MapReduce directly in Cassandra
● Amazon cloud solutions: Elastic MapReduce and S3
● “real-enough” time analysis
In particular the talk dives into ways of handling different kinds of semi-ad-hoc queries when using Cassandra, the pitfalls in designing a schema around a specific analytics use case. Some attention will be paid towards dealing with time series data in particular, which can present a real problem when using Column-Family or Key-Value store databases.
Mobile Fest 2018. Александр Корин. БолеутоляющееMobileFest2018
Наш код - это наша боль. Как бы крут он не был, как бы хорошо не был написан, возвращаясь к нему через год мы ощущаем стыд за то, что мы натворили. За несколько лет сей стыд перерастает в боль за бессмыссленно потраченное время жизни. Мы обсудим болеутоляющие, данные нам возможностями Swift и моим больным воображением
In this core java training session, you will learn JDBC Cont. Topics covered in this session are:
• JDBC Continued
• Introduction to Java Enterprise Edition (Java EE)
For more information about this course visit on this link: https://www.mindsmapped.com/courses/software-development/learn-java-fundamentals-hands-on-training-on-core-java-concepts/
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
1. Advance Java Technology
[Java Database Connectivity]
Mali Nayan M
Assistant Professor
Department of Information Technology
Sigma Institute of Engineering
Advance Java Technology 1
2. ResultSet interface
• The object of ResultSet maintains a cursor pointing to a particular row
of data. Initially, cursor points to before the first row.
• But we can make this object to move forward and backward direction
by passing either TYPE_SCROLL_INSENSITIVE or
TYPE_SCROLL_SENSITIVE in createStatement(int,int) method as well
as we can make this object as updatable by:
• Statement stmt = con.createStatement(ResultSet.TYPE_SCROLL_INSE
NSITIVE, ResultSet.CONCUR_UPDATABLE);
Advance Java Technology 2
3. 1) public boolean next(): is used to move the cursor to the one
row next from the current position.
2) public boolean previous(): is used to move the cursor to the one
row previous from the current position.
3) public boolean first(): is used to move the cursor to the first
row in result set object.
4) public boolean last(): is used to move the cursor to the last
row in result set object.
5) public boolean absolute(int row): is used to move the cursor to the
specified row number in the ResultSet
object.
Advance Java Technology 3
4. 6) public boolean relative(int row): is used to move the cursor to the
relative row number in the ResultSet
object, it may be positive or negative.
7) public int getInt(int
columnIndex):
is used to return the data of specified
column index of the current row as int.
8) public int getInt(String
columnName):
is used to return the data of specified
column name of the current row as int.
9) public String getString(int
columnIndex):
is used to return the data of specified
column index of the current row as
String.
10) public String getString(String
columnName):
is used to return the data of specified
column name of the current row as
String.
Advance Java Technology 4
6. Updateable Resultset
• You can update the table row using result set object. Below example
shows how to update table records.
Advance Java Technology 6
7. Connection con = null;
Statement st = null;
ResultSet rs = null;
Class.forName("oracle.jdbc.driver.OracleDriver");
con = DriverManager. getConnection(" jdbc:msql://200.210.220.1:1114/Demo " ,"user","password");
st = con.createStatement(ResultSet.TYPE_SCROLL_SENSITIVE, ResultSet.CONCUR_UPDATABLE);
rs = st.executeQuery("select accno, bal from bank");
while(rs.next()){
if(rs.getInt(1) == 100){
rs.updateDouble(2, 2000);
rs.updateRow();
System.out.println("Record updated!!!");
}
}
} catch (ClassNotFoundException e) {
e.printStackTrace();
} Advance Java Technology 7
8. ResultSetMetaData Interface
• The metadata means data about data
public int getColumnCount()throws
SQLException
it returns the total number of columns in
the ResultSet object.
public String getColumnName(int
index)throws SQLException
it returns the column name of the specified
column index.
public String getColumnTypeName(int
index)throws SQLException
it returns the column type name for the
specified index.
public String getTableName(int
index)throws SQLException
it returns the table name for the specified
column index.
Advance Java Technology 8
11. Statement
• Static sql Statement at runtime
• Can’t accept the parameter
• boolean execute (String SQL)
• Returns a boolean value of true if a ResultSet object can be retrieved
• int executeUpdate (String SQL):
• Returns the number of rows affected by the execution of the SQL statement.
• ResultSet executeQuery (String SQL):
• Returns a ResultSet object.
Advance Java Technology 11
13. Prepare Statement
• Used sql statement many times
• Accept input parameters
Advance Java Technology 13
14. Connection conn = null;
PreparedStatement stmt = null;
Class.forName("com.mysql.jdbc.Driver");
conn = DriverManager.getConnection(DB_URL,USER,PASS);
String sql = "UPDATE Employees set age=? WHERE id=?";
stmt = conn.prepareStatement(sql);
stmt.setInt(1, 35); // This would set age
stmt.setInt(2, 102); // This would set ID
int rows = stmt.executeUpdate();
Advance Java Technology 14
15. CallableStatement
• to access the database stored procedures
• can also accept runtime input parameters.
Advance Java Technology 15
16. DELIMITER $$
DROP PROCEDURE IF EXISTS `EMP`.`getEmpName` $$
CREATE PROCEDURE `EMP`.`getEmpName`
(IN EMP_ID INT, OUT EMP_FIRST VARCHAR(255))
BEGIN
SELECT first INTO EMP_FIRST
FROM Employees
WHERE ID = EMP_ID;
END $$
DELIMITER ;
Advance Java Technology 16
18. Transaction Management in JDBC
• Transaction represents a single unit of work.
• fast performance It makes the performance fast because database is hit at
the time of commit.
• The ACID properties describes the transaction management well. ACID
stands for Atomicity, Consistency, isolation and durability.
• Atomicity means either all successful or none.
• Consistency ensures bringing the database from one consistent state to
another consistent state.
• Isolation ensures that transaction is isolated from other transaction.
• Durability means once a transaction has been committed, it will remain so,
even in the event of errors, power loss etc.
Advance Java Technology 18
19. void setAutoCommit(boolean status) It is true bydefault means each transaction
is committed bydefault.
void commit() commits the transaction.
void rollback() cancels the transaction.
Advance Java Technology 19