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Introduction to SQL ROW

A row in SQL or any relational database is basically a tuple that holds implicitly structured data values in a database table. For the uninitiated, a tuple in any programming language is a set of multiple data values that forms a single record for a particular relation. Rows and columns in SQL can be considered similar to rows of a grid or matrix, where each row contains values for every column. Rows form the building blocks of any relational database.

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The highlighted tuple or row forms a row in the relational database.

Creating a Row Structure

It is logical to believe that in order to create a row, we must first create a table. A row to a table is like soul to the body. Ergo, to begin with, let us create a database table called “students”. We can use the following code snippet to create the said table.

Code:

CREATE TABLE students ( roll_no int NOT NULL PRIMARY KEY, student_name VARCHAR(255), degree_major VARCHAR(255) NOT NULL, degree_year VARCHAR(255) );

The given CREATE TABLE statement will create a structure where each row in the table will consist of roll_no, student_name, degree_major, and degree_year values.

Adding Rows in a Database Table 1. Insert statement for adding a row

Code:

INSERT INTO students( roll_no, student_name, degree_major, degree_year) VALUES (1,'Deep Jain','Computer Science Engineering','I');

The command got executed successfully, thereby creating a row in the students table. The said row can be visualized using a SELECT query. We can fetch all the rows from any table using a SELECT * or SELECT ALL statement.

Code:

SELECT * FROM students;

Output:

Now we have a row with data values in the student’s table.

2. Insert statement for adding multiple rows

You must be wondering how to add multiple rows in a datatable. It’s simple, we can use the same good old INSERT statement in the following manner.

Code:

INSERT INTO public.students( roll_no, student_name, degree_major, degree_year) VALUES (2,'Drake G','Biotech Engineering','IV'), (3,'Mathew Silverman','Electrical Engineering','II');

The INSERT query just created two more rows in the student’s table. Have a look for yourself using the SELECT statement.

Code:

SELECT * FROM students;

Output:

Deleting a Row from the Database Table

When it comes to deleting/removing one or more rows from a database table, we use the DELETE statement.

1. DELETE statement for deleting a row

Code:

DELETE FROM students WHERE degree_year = 'IV';

We successfully removed a row where degree_year value is ‘IV’.

Now, the student’s table looks something like this.

Code:

SELECT * FROM students;

Output:

2. DELETE statement for deleting all rows

In order to delete all the rows in the database table, use the DELETE statement without the WHERE clause.

Code:

DELETE FROM students; Modifying or Updating an Existing Row in the Data Table

What if you do not want to delete a row but modify some values in it. This can be achieved using an UPDATE statement.

Here is an example to update the roll_no of a student named ‘Mathew Silverman’ to 2 instead of 3.

Code:

UPDATE students SET roll_no = 2 WHERE roll_no = 3;

Code:

SELECT * FROM students;

Output:

The row has been successfully updated.

Assigning Row Numbers to Rows in the Data Table

Suppose we want to sequentially arrange rows in the database based on a column value. We can do so by using the ROW_NUMBER function in SQL. It helps us in fetching data rows based on their row number.

Here is how you can add row numbers to existing rows in the datatable.

Code:

SELECT roll_no, student_name, degree_major, degree_year, ROW_NUMBER () OVER (ORDER BY roll_no) FROM students;

Output:

Filtering Rows for Final Result Set

When fetching rows for the final result set, we might not always want to fetch all the rows from the said table. We can filter rows using a WHERE, HAVING, LIMIT or TOP clause.

Here is how to filter rows using the WHERE clause.

Code:

SELECT roll_no, student_name, degree_major, degree_year FROM students WHERE degree_major = 'Electrical Engineering';

Output:

Here is how to limit the number of rows appearing in the final result set.

Code:

SELECT * FROM students LIMIT 1;

Adding Constraints to Row Values

We cannot directly add constraints to a row in SQL, but we can add constraints such as NOT NULL, UNIQUE, CHECK, etc. to columns which will eventually get reflected in the rows.

Here is how we can add constraints to an existing table.

Code:

ALTER TABLE students ADD CONSTRAINT unique_class UNIQUE(degree_year);

The unique_class constraint has been successfully created.

Let’s try inserting a new row with a duplicate value for degree_year.

Code:

INSERT INTO students( roll_no, student_name, degree_major, degree_year) VALUES (3,'Rohan Joshi','Integrated Physics','I');

Output:

See the new row could not be inserted in the table. Now try this next query with a unique value for degree_year.

Code:

INSERT INTO students( roll_no, student_name, degree_major, degree_year) VALUES (3,'Rohan Joshi','Integrated Physics','III');

The query returned successfully. The new row looks something as follows.

Code:

SELECT * FROM students;

Output:

Conclusion – SQL ROW

A row can be considered as the building block of any relational database. It is the tuple that holds data values together for each relation in the table. If you know how to work with rows, you know how to work in any relational database.

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How To Count The Number Of Rows In A Mysql Table In Python?

Counting the number of rows in a MySQL table is a common operation when working with databases. In Python, you can use the MySQL Connector module to establish a connection to a MySQL database and execute SQL queries to fetch data from tables. There are different ways to count the number of rows in a MySQL table using Python, and the method you choose will depend on the specific requirements of your project.

This article will guide you on how to obtain the count of rows in a particular MySQL table that resides in a database. To begin with, we will establish a connection to the database where the desired MySQL table is located.

To count the number of rows in a MySQL table in Python, you need to execute a SQL SELECT statement that fetches all the rows from the table.

Consider the SQL query shown below.

Once you have the rows, you can use the rowcount property of the cursor object to determine the number of rows returned by the query. Alternatively, you can use the COUNT() function in SQL to directly count the number of rows in the table, and retrieve the result using Python.

In this article, we will first explore a single database named insillion in which we will have a table named bikes that contains 4 rows of data.

For reference, consider the queries shown below in a sequential order.

Selecting a Specific Database use insillion

Once we have selected a specific database, we need to choose a specific table that we want to run our query on.

Consider the SQL command shown below.

select * from bikes; Output

Once I ran the above command on my local MySQL, I got the following output.

| id | name | price | | 1 | Bajaj | 2543 | | 2 | KTM | 4789 | | 3 | TVS | 2790 | | 4 | Hero | 2100 |

From the above output, you can clearly see that there are 4 rows of data present in our bikes table.

Now let’s focus on the python examples where we will use two different approaches to calculate the number of rows present in the bikes table.

Using pymysql and mysqldb

pymysql and mysqlclient are two popular Python libraries used for connecting to and interacting with MySQL databases.

pymysql is a pure-Python implementation of the MySQL client-server protocol, which means it does not require any external libraries or dependencies.

mysqlclient is a Python interface to the MySQL database that is based on the MySQL C API. It provides a faster and more efficient implementation than pymysql.

Consider the code shown below. This code imports the pymysql and MySQLdb modules to connect Python with a MySQL database, establishes a database connection using the specified credentials, retrieves a cursor object to interact with the database, executes a SQL query to get the number of rows in a table, and prints the number of rows.

# import required modules import pymysql pymysql.install_as_MySQLdb() import MySQLdb # connect python with mysql with your hostname, # username, password and database db= MySQLdb.connect(host='localhost', user='root', password='yourpassword'', database='insillion') # get cursor object cursor= db.cursor() # get number of rows in a table and give your table # name in the query number_of_rows = cursor.execute("SELECT * FROM bikes") # print the number of rows print("Number of rows are:" ,number_of_rows)

To run the above code, we first need to install the pymysql and mysqlclient library in our machine, and for that we can make use of the command shown below.

pip3 install pymysql pip3 install mysqlclient Output

Now, on executing the code, you will get the following output:

Number of rows are: 4 Using mysql-connector

mysql-connector-python is a Python library that provides an interface for connecting to and interacting with MySQL databases. It is a pure-Python implementation of the MySQL client-server protocol, which means it does not require any external libraries or dependencies.

Consider the code shown below.

import mysql.connector # Establish a connection to the MySQL database with mysql.connector.connect( host="localhost", user="root", password="domain@immukul", database="insillion" ) as conn: # Create a cursor object to interact with the database with conn.cursor() as cursor: # Execute a SQL query that counts the number of rows in the table cursor.execute("SELECT COUNT(*) FROM bikes") # Get the result of the query result = cursor.fetchone() # The result is a tuple with one element, which contains the count row_count = result[0] print("Number of rows in the table:", row_count)

To run the above code, we first need to install the mysql-connector-python and mysqlclient library in our machine, and for that we can make use of the command shown below.

pip3 install mysql-connector-python Output

On execution, you will get the following output:

Number of rows are: 4 Conclusion

In conclusion, counting the number of rows in a MySQL table in Python is a simple task that can be accomplished using various methods. The three main approaches are using the rowcount() method, executing a SQL query to retrieve the row count, and using the SELECT COUNT(*) statement.

Python libraries such as pymysql, mysqlclient, and mysql-connector-python can be used to connect to MySQL databases and perform row counting operations.

Table Value – A Common Structured Value In Power Bi

This tutorial will discuss about table value. It’s one of the most common structured values that you can encounter in many Power BI data reports. You’ll learn how to build tables using different expressions in order to obtain specific information and make your report insightful.

Think of tables as a list of records. The hash or pound table function can be used to construct a table value from a list of column names and a list of the record field values.

Input the following code and press Enter. You can then see the table icon beside the query name inside the Query pane.

If you want to create a number of columns without specific column names, you can enter a number as the first parameter followed by a list of record field values.

The formula created 5 columns with 2 records. The two records are lists with values from 1 to 5, and 6 to 10 separated using a comma. If you input 4 values instead of 5 in the second record, you’ll get an error.

But if you change the number of columns to 4 and press Enter, the first record now returns an error.

Most of the time when constructing a table, you want to include the column names. In this syntax, you can see that the column names are a and b. You can also see two records with values 1 and 2, and 3 and 4.

You’ll also notice that column icons have ABC123. It’s because the lists with record field values can obtain both primitive and structured data types.

It’s possible to declare data types when constructing a table. The first parameter will no longer be a list of column names, but a declaration of a table type that includes both column name and the column type.

In the formula, the first column is called a and has a number type. The second column is called b with a text data type. There are also 3 record values containing a number and a text. You can also see each column icons with their associated types.

If you change the field value of the second record from {2,“two”} to {2,2}, you won’t get an error message and the field name two will be changed to 2 in the column. Even though 2 is a number, there is no type validation occurring. However, if you pass this field into a function that expects a text value or load this query to the data model, it will be evaluated and a mismatch error will occur.

There are other ways to create tables. You can use M functions that return tables from lists or records, or you can manually add a table using the Enter Data option on the Home tab. But most of the tables that you’ll be dealing with inside Power Query are the results of connecting to an external data source.

When it comes to accessing elements from a table, you can access both rows and columns by referring to its zero-based index position. You can use the positional index operator, which is a set of curly brackets ({ }).

If you want to access the first item in the sample table above, input curly brackets at the end of the formula and write 0 inside the brackets. The formula will then return the first value.

Accessing the first item in a table returns the entire row as a record value. You can also perform the optional item selection by adding a question mark. This changes the not-found behavior from returning an error into returning a null.

So if you want to access the fourth item, change the index operator to 3 and press enter. Then, add the question mark at the end of the formula. The syntax will then return a null.

Tables also support field selection, which is the field name in square brackets.

The syntax returns the first column by adding square brackets at the end. Column a is then written inside the brackets to pull out the first column.

A column can contain more than one value so this returns a list in an ordered sequence of values.

Combination and equation operators can be used with tables. Tables can be appended using the combination operator, ampersand (&).

You can compare tables with the equal or not equal sign. It can be helpful to remember that a table is a list of records. Tables are considered equal if they meet all four criteria:

They have the same number of columns.

They have the same number of rows.

All column names or record field names are present and equal in both tables.

All record field values match.

Here is an example:

The formula contains two tables with two columns each. The first table has columns a and b, and values 1 and 2. The second table has columns b and a, and values 2 and 1. This formula yielded TRUE because the order of the field or column name is irrelevant when comparing tables.

Most Power BI reports have tables that consist of various data inside rows and columns. These tables are the main data-generating entities inside Power BI. They show information in a table form, which makes your reports look compelling.

Melissa

Rows To Columns In Excel (Examples)

Excel Rows to Columns (Table of Contents)

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Rows to Columns in Excel

In Microsoft Excel, we can change the rows to columns and columns to rows and vice versa, using TRANSPOSE. We can either use the Transpose or Transpose function to get the output.

The transpose function normally returns a transposed range of cells which is used to switch the rows to columns and columns to rows and vice versa, i.e., we can convert a vertical range of cells to a horizontal range of cells or a horizontal range of cells to a vertical range of cells in Excel.

For example, a horizontal range of cells is returned if a vertical range is entered, or a vertical range of cells is returned if a horizontal range of cells is entered.

How to Convert Rows to Columns in Excel using Transpose?

It is very simple and easy. Let’s understand how to convert rows to columns in Excel using examples.

You can download this Convert Rows to Columns Excel?Template here – Convert Rows to Columns Excel?Template

Steps to use transpose:

Start the cell by selecting and copying an entire range of data.

Choose to paste special, and we will find the transpose button.

We will get the result converted to rows to columns.

Example #1

Consider the below example where we have a revenue figure for sales month-wise. We can see that month data are row-wise and Part number data are column-wise.

If we want to convert the rows to columns in Excel, we can use the transpose function and apply it by following the below steps.

First, select the entire cells from A To G with data information.

Copy the entire data by pressing the Ctrl+ C Key.

Now select the new cells where exactly you need to have the data.

Choose the option paste special.

Select the fourth option in paste special, transpose, as shown in the below screenshot, highlighted in yellow.

In the above screenshot, we can see that rows have been changed to the column, and the column has been changed to rows in Excel. This way, we can easily convert the given data from row to column and column to row in Excel. For the end-user, if there is a huge amount of data, this transpose will be very useful, and it saves a lot of time instead of typing it, and we can avoid duplication.

Example #2

In this example, we will convert rows to columns in Excel and see how to transpose the employee salary data by following the steps below.

Consider the above screenshot, which has the id number, emp name, HRA, Allowance, and Special Allowance. Suppose we need to convert the data column to rows; in these cases, the TRANSPOSE function will be very useful to convert it, which saves time instead of entering the data. We will see how to convert the column to a row with the below steps.

Once you copy the data, choose the new cell location.

We will get the paste special dialogue box.

Choose the Special Paste option.

Select the Transpose option in that, as shown below.

Once you have chosen the transpose option, the Excel row data will be converted to the column, as shown in the below result.

In the above screenshot, we can see the difference that the row has been converted to columns; in this way, we can easily use the transpose to convert horizontal to vertical and vertical to horizontal in Excel.

Transpose Function

In Excel, a built-in function called Transpose Function converts rows to columns and vice versa; this function works like transpose. i.e., we can convert rows to columns or columns into rows and vice versa.

Syntax of Transpose Function:

Array: The range of cells to transpose.

When a set of an array is transposed, the first row is used as the first column of an array, and in the same way, the second row is used as the second column of a new one, and the third row is used as the third column of the array.

If we use the transpose function formula as an array, we have CTRL+SHIFT +ENTER to apply it.

Example #3

In this example, we will see how to use the transpose function with an array with the example below.

Consider the below example, which shows weekly sales data, where we will convert the data to columns to row and row to column and vice versa using the transpose function.

Select the row you want to transpose.

Here we are going to convert the MONTH PLAN to the column.

We can see that there are 11 rows, so to use the transpose function, the rows and columns should be in equal cells; if we have 11 rows, then the transpose function needs the same 11 columns to convert it.

Choose exactly 11 columns, use the Transpose Formula, and select an array from C1 to C11, as shown in the below screenshot.

Now use CTRL+SHIFT +ENTER to apply as an array formula.

Once we use the CTRL+SHIFT +ENTER, we can see the open and close parenthesis in the formulation.

We will get the output where a row has been changed to a column, shown below.

Use the formula for the entire cells to get the exact result.

So the Final Output will be as below.

Things to Remember about Convert Rows to Columns in Excel

The transpose function in Excel is one of the most useful functions, as it allows us to rotate the data without altering its information.

If any blank or empty cells exist, transpose will not work, giving the result zero.

While using the array formula in the transpose function, we cannot delete or edit the cells because all the data are connected with links, and Excel will throw an error message that “YOU CAN NOT CHANGE PART OF AN ARRAY.”

Recommended Articles

This has been a guide to Rows to Columns in Excel. We discuss converting rows to columns in Excel using transpose, practical examples, and a downloadable Excel template. Transpose can help everyone to convert multiple rows to a column in Excel easily and quickly. You can also go through our other suggested articles –

How To Insert Multiple Rows In Excel

Inserting rows in Excel is one of the most basic stuff that we do almost everyday. And there are many ways to do this.

Now there could be various situations where you need to insert rows in Excel. For example, you may want to insert a single row, or multiple rows that are all together, or multiple rows that are not together.

How to Insert Multiple Rows in Excel

In this tutorial, you’ll learn four different ways to do insert multiple rows in Excel.

Using Keyboard Shortcuts.

Using Insert Options.

Using Mouse + Keyboard (super trick).

Using Insert Copied Cells Option.

You can insert multiple rows in Excel using more than one keyboard shortcut.

Here is the first one:

Select the cell above which you want to insert multiple rows in Excel.

Press Shift + Space-bar to select the entire row.

Once the entire row is selected, press Control and hit the plus key (+) from the numeric keypad.

If you don’t have the numeric keypad, press Control and Shift and plus key (+) on the regular keyboard.

This will insert a single row right above the row that you selected.

Once you have inserted a row, you can repeat the same action by using the F4 key.

To do this, just select the row above which you want to insert a row and press F4. Hitting the F4 just repeats the last action.

What if you want to insert multiple rows in Excel at one go?

In the above example, we saw how to insert one row using the keyboard shortcut. If you want to insert multiple rows at one go, you can easily do it with a slight twist.

Here is how to do it:

It does not matter if the rows have data or are empty. This technique works in all cases.

Use the keyboard shortcut Control and Plus key (or Control and Shift and Plus key if you have a regular keyboard).

This will automatically enter the same number of rows as you selected to begin with. So if you selected four rows, it will insert four rows above it (as shown below):

Here is another keyboard shortcut that you can use:

Hold the ALT key and Press I followed by R.

You can also use the Insert functionality in Excel to insert multiple rows in Excel.

Here are the steps to use this:

Select the rows above which you want to insert the rows. For example, if you want to insert 4 rows between Row #3 and #4, select four rows staring from Row #4.

This will enter four rows above between Row #3 and #4 (as shown below):

You can also use the Insert Option available in the Home chúng tôi use it:

Select the rows above which you want to insert the rows.

#3 Using Mouse + Keyboard Shortcut

This one is a super trick.

If you want to insert multiple rows above or below a row, here are the steps:

Select a row above or below which you want to insert rows.

You will notice a small green square at the end bottom right of the row number.

Hover your mouse on that green square and press Control + Shift on your keyboard. You will notice that the mouse icon changes from a plus to a double line icon with arrow on both sides.

This is one of the best ways to quickly insert any number of rows.

Another quick way to insert multiple rows in Excel is to copy a blank row and paste in where you want. Since you are copying a blank row, it would be the same as inserting a new row.

Here is how to do this:

Select a blank row and copy it.

Select the rows above which you want to insert the new rows. Select as many rows as you want to insert.

This will insert rows above the rows that you selected (as shown below):

These are four ways you can use to quickly insert multiple rows in Excel.

How To Connect Database In Java?

How to Connect Database in Java?

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What is JDBC?

JDBC stands for Java Database Connectivity, and it helps a Java program to perform different kinds of operations over the database, such as create, read, update, and delete. Also, JDBC is a Java API.

By using JDBC, a programmer should be able to:

Establish a connection with the database

Run SQL commands by sending them to the database

Interprets the results that come from a database

Creating a Database to Connect Database in Java

Before working with JDBC, it is required to have a database to connect to it. We will be making use of the Oracle Database for the sake of our illustration. Please download the Oracle 11g express edition from the below link.

I already have Oracle 10g installer ready with me, as you can see below:

Source: From my desktop

Source: From my desktop

Source: From my desktop

Source: From my desktop

Source: From my desktop

Source: From my desktop

Now once you log in,  the very first screen that you will see will look like below:

Source: From my desktop

Source: From my desktop

As you can see, we have successfully created a table named Educba.

Connect Database in Java

A few interfaces and classes are used to connect to a database and perform operations using JDBC API.

We will explain one by one, but let me first present to you the below program:

Source: From my desktop

Below are the interfaces which we will be using to connect to the database and perform operations over it:

Driver Manager

Connection

Statement

Result set

Prepared statement

Let us look at the operations we can perform as a part of the JDBC operation.

Store the data from an entity to a database, i.e., they create an operation.

Retrieve the data to the entity or a bean from a database

Update the data for the entity or the bean in the database

Delete or remove the data on the entity or a bean from the database.

No matter what operation we perform, some basic steps would remain the same:

Load the driver.

class.forName("oracle.jdbc.driver.OracleDriver");

Create a URL string

String url="jdbc:oracle:thin:@172:.26.132.40:1521:orclilp";

Use the driver manager to create a connection

con=DriverManager.getConnection(URL, USERNAME, PASSWORD);

Use Connection reference to create statement

stmt = conn.createStatement();

Use a statement to execute the query

6. Process the result set ( optional, depends )

7. Release the resources in the final block.

Illustration

As we use the Oracle database in our illustration, we need to have the required driver that Oracle should provide. The driver class is usually in the form of a jar file with the name chúng tôi This driver should be imported to your Java program as a part of “Referenced Libraries” if it is not there.

If you have installed Oracle 11g in your C folder, it can ideally be found in the below path: ( If it is not there, it can be easily downloaded from here )

C: oraclexe app oracle product 10.2.0 server jdbc lib

Source: From my desktop

Many jar files should be available; however, chúng tôi is the latest. The same can be used for our purpose. This jar should be added to the classpath of the project. Please check the below image.

Source: From my desktop

Let us create an artist table with the following attributes: ( You can directly run the SQL command line as a separate module of Oracle Express Edition. But first, you need to connect, and you can execute the “connect” command to connect to the database.

Source: From my desktop

As a part of this illustration, we would be creating three Java classes, i.e., Artist.java, CreateTable.java, and ArtistManagementDao.java, to achieve this.

Also, we must create a class called Artist Bean in the Java layer. This class should have attributes of the Artist with the above context. It will look like below:

Artist.java

Let us create two other Java classes with the name ArtistManagementDao and CreateTable.java.

ArtistManagementDao.java package com; import java.sql.Connection; import java.sql.DriverManager; import java.sql.PreparedStatement; import java.sql.SQLException; public class ArtistManagementDao { private final static String DRIVERNAME="oracle.jdbc.driver.OracleDriver"; private final static String URL="jdbc:oracle:thin:@LENOVO-PC:1521:XE"; private final static String USERNAME="System"; private final static String PASSWORD="Your DB password"; private Connection con =null; public void addArtist(Artist a) { try { Class.forName(DRIVERNAME); String sql="insert into Artist1 values (?,?)"; con=DriverManager.getConnection(URL, USERNAME, PASSWORD); PreparedStatement pst=con.prepareStatement(sql); pst.setString(1, a.getArtistID()); pst.setString(2, a.getArtistName()); pst.executeUpdate(); } catch (ClassNotFoundException e) { System.out.println(e); } catch (SQLException e) { System.out.println(e); } } }

Explanation:

The Dao class helps us to isolate the application/business layer from the persistence layer. This is usually the relational database.

We have created a DB URL with your computer name and DB port number ( ideally 1521 ), preceded by JDBC:oracle:thin:@. Then, we created a username and password to pass these attributes during the Database connection. It is highly recommended to encrypt these values in the production environment.

Inside the addArtist method, we tried to establish our connection by following the steps we learned earlier using a conn statement.

We have used the insert method to push values from attributes to the database.

In the next statement, to test, we have the get statement to retrieve values from the database.

We have also tried to catch block for catching any exceptions and throwing out the same.

CreateTable.java package com; import java.sql.*; public class CreateTable{ static final String DB_URL = "jdbc:oracle:thin:@LENOVO-PC:1521:XE"; static final String USER = "System"; static final String PASS = "Your DB Password"; public static void main(String[] args) { Connection conn = null; Statement stmt = null; try{ ArtistManagementDao am=new ArtistManagementDao(); Artist a=new Artist(); Class.forName("oracle.jdbc.driver.OracleDriver"); System.out.println("Connecting to a selected database..."); conn = DriverManager.getConnection(DB_URL, USER, PASS); System.out.println("Connected to database successfully"); System.out.println("Creating table"); stmt = conn.createStatement(); String sql = "CREATE TABLE Artist3 " + "(ArtistID varchar2(5) primary key not NULL, " + " ArtistName varchar2(25))"; stmt.executeUpdate(sql); System.out.println("Created table in given database..."); a.setArtistId("abc"); a.setArtistName("ankit"); am.addArtist(a); System.out.println("nArtistID="+a.getArtistID()+"nArtistName="+a.getArtistName()); }catch(SQLException se){ se.printStackTrace(); }catch(Exception e){ e.printStackTrace(); }finally{ try{ if(stmt!=null) conn.close(); }catch(SQLException se){ } try{ if(conn!=null) conn.close(); }catch(SQLException se){ se.printStackTrace(); } } } }

Explanation:

We have created a DB URL with your computer name and DB port number ( ideally 1521 ),  preceded by JDBC:oracle:thin:@. Then, we created a username and password to pass these attributes during the Database connection. It is highly recommended to encrypt these values in the production environment.

In the chúng tôi class, we created the objects “am” and “a” of the chúng tôi and chúng tôi class, respectively.

Then we tried to establish our connection by following the steps we learned earlier using a conn statement.

Then we created a table with the name Artist3 and updated the database or pushed this to the database using the execute the statement.

If we would like to assign values to the attributes, we will use the object we created for the artist class and note that this class will not insert the value into the database; it will be ArtistmanagementDao class. We already have stored values in attributes and will see in the day class how to push this to the database.

Finally, we have used the “am” object from ArtistManagementDao to pass this object “a” to the method addArtist() of ArtistManagementDao java class.

We have also tried to catch block for catching any exceptions and throwing out the same.

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