Skip to main content

Scala: Function to create Oracle Connection

 Hi All,

We can use, below code to create a function in SCALA to connect to Oracle Database and call this function on your main SCALA by passing the parameter. 

Please be sure to install the necessary drivers - oracle JDBC pool drivers


  def connJdbc (oracleUser: String,oraclePassword: String,oracleURL: String): java.sql.Connection = {

    val ods = new OracleDataSource()

    ods.setUser(oracleUser)

    ods.setURL(oracleURL)

    ods.setPassword(oraclePassword)

    ods.getConnection()

  }

}

 


Comments

  1. A comprehensive salesforce admin course
    equips you with the skills to manage users, customize objects, automate workflows, and maintain data security within the Salesforce platform.

    ReplyDelete
  2. power bi online training
    helps professionals master data visualization, reporting, and dashboard creation using real-time business data. With structured modules and hands-on projects, power bi online training enables learners to build interactive reports and gain practical analytics skills for career growth.

    ReplyDelete
  3. Advance your data visualization skills with a comprehensive tableau course online
    designed for beginners and professionals alike. Learn to create interactive dashboards, analyze real-world datasets, and gain job-ready expertise from the comfort of your home.

    ReplyDelete
  4. This comment has been removed by the author.

    ReplyDelete
  5. power bi classes online
    help you master data visualization, dashboards, and business intelligence skills from the comfort of your home.

    ReplyDelete
  6. Advance your career with expert-led salesforce administrator classes
    designed to help you master user management, automation, and data security. These hands-on salesforce administrator classes prepare you for certification and real-world CRM success.

    ReplyDelete

Post a Comment

Popular posts from this blog

BIG Data, Hadoop – Chapter 2 - Data Life Cycle

Data Life Cycle The data life cycle is pictorial defined as show below:     As we see, in our current system, we capture/ Extract our data, then we store it and later we process for reporting and analytics. But in case of big data, the problem lies in storing and then processing it faster. Hence Hadoop takes this portion, where it stores the data in effective format (Hadoop distributed File System) and also process using its engine (Map Reduce Engine). Since Map Reduce engine or Hadoop engine need data on HDFS format to process, We have favorable tools available in market to do this operation. As an example, Scoop is a tool which converts RDBMS to HDFS. Likewise we have SAP BOD to convert sap system data to HDFS.

Talend ETL Part 1: SQL Server Database to Excel Sheet

Hello All, Of many ETL tools available in Market, One of the strong tool is Talend. Difference between other ETL tools and tools like Pentaho, Talend, Clover ETL, Adeptia Integration etc, is that they support NO SQL Cross domains, BIG Data, Hadoop etc. Other ETL tools like, SSIS, Informatica are now coming with their higher versions, which consists of Hadoop Integration. Basically We can say, there are two databases types. 1) RDBMS (Example: SQL Server, MySQL, Oracle etc) 2) Non RDBMS (Example: MongoDB, InfiniDB etc) Talend Supports Non RDBMS databases. Here I would like to share my hands on experience on Talend and how to use it and explain basic components of Talend. Approx there are 500 components we can find in Talend. So lets Kick Start from Basics. First lets try to load Data from Microsoft SQL Server to Excel. Steps: Step1: Open Talend Studio. Step 2: Right click on Job Design and Create a new Job by giving some job name. Step 3: Give the name o...