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AWS Lambda – Function in Go

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  Go Language support is a recent addition to AWS. To work with Go, you need to select the language from AWS console while creating the AWS Lambda function. In this chapter, let us learn in detail about AWS Lambda function in Go language. Installing Go To get started we need Go Language support. In this section, we will go through following details to start working with AWS Lambda in Go. This is the official site for Go download:  https://golang.org/dl/ Now, download the package as per the operating system. Follow the procedure given here to install Go on the respective operating system. Installation on Windows Observe that for Windows, there is 32-bit and 64-bit download available. Download the zip file and extract the contents and store it in a directory of your choice. Add the environment variables available at  ControlPanel ---> System ---> Advanced system settings. Now, click  Environment Variables  button and add the directory path as shown here − Yo...
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AWS Lambda – Function in Java

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Creating JAR file in Eclipse Before proceeding to work on creating a lambda function in AWS, we need AWS toolkit support for Eclipse. For any guidance on installation of the same, you can refer to the  Environment Setup  chapter in this tutorial. Once you are done with installation, follow the steps given here − Step 1 Open Eclipse IDE and create a new project with  AWS Lambda Java Project . Observe the screenshot given below for better understanding − Step 2 Once you select  Next , it will redirect you the screen shown below − Step 3 Now, a default code is created for Input Type  Custom . Once you click  Finish  button the project gets created as shown below − Step 4 Now, right click your project and export it. Select  Java / JAR  file from the  Export  wizard and click  Next . Step 5 Now, if you click  Next , you will be prompted save the file in the destination folder which will be asked when you click on next. Once the...
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PostgreSQL - UPDATE Query

  The PostgreSQL   UPDATE   Query is used to modify the existing records in a table. You can use WHERE clause with UPDATE query to update the selected rows. Otherwise, all the rows would be updated. Syntax The basic syntax of UPDATE query with WHERE clause is as follows − UPDATE table_name SET column1 = value1, column2 = value2...., columnN = valueN WHERE [condition]; You can combine N number of conditions using AND or OR operators. Example Consider the table  COMPANY , having records as follows − testdb # select * from COMPANY; id | name | age | address | salary ----+-------+-----+-----------+-------- 1 | Paul | 32 | California | 20000 2 | Allen | 25 | Texas | 15000 3 | Teddy | 23 | Norway | 20000 4 | Mark | 25 | Rich - Mond | 65000 5 | David | 27 | Texas | 85000 6 | Kim | 22 | South - Hall | 45000 7 | James | 24 | Houston | 10000 ( 7 rows ) The follo...
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