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Qovery profile image Romaric P.
Romaric P. for Qovery

Posted on • Originally published at qovery.com

Create a URL shortener API with Kotlin, the micro-framework Ktor and PostgreSQL

#kotlin #ktor #postgres #tutorial

The source code for this post can be found on this github repo

Introduction

Ktor is a brand new micro-framework created by the Jetbrains team and running over the JVM. Jetbrains are the authors of Kotlin - which is now the official programming language for Android, and one of the most popular programming language on the JVM. Kotlin is gaining popularity on server-side and multi-platform application development.

Ktor is a framework for building asynchronous servers and clients in connected systems using the powerful Kotlin programming language.

In this article you will learn:

  • How to design a simple URL shortener.
  • How to use the Ktor micro-framework with Kotlin
  • How to deploy a Ktor application

I personally have +4 years of experience using Spring and I wanted to give a try to Ktor which seems promising. Creating a URL shortener is a good way to start.

What is a URL shortener?

A URL shortener is a simple tool that takes a long URL and turns it into a very short one

Flow of URL shortening - from original URL to short URL

It is commonly used for 3 reasons:

  • Tracking clicks
  • Make URL much more concise.
  • Hide original URL

One famous freemium provider is bit.ly (see here)

In this article we will make a basic bit.ly like URL shortener. Let’s go

Ktor principles

Before starting I want to introduce the 3 main principles of Ktor.

Kotlin

Kotlin is the language used to develop on Ktor. It is an object-oriented and functional language. It is very stable and runs on the JVM. Kotlin is 100% interoperable with Java and allows you to benefit from its ecosystem (libraries, build system, etc.).

Functional programming

Ktor leverages the power of Kotlin and has a very functional approach. When writing code, everything seems obvious. It's very similar to what you can see on NodeJS. For me, coming from the Spring world, I find it very efficient to read and use.

Asynchronous

Kotlin provides asynchronous code execution, thanks to coroutines. Ktor exploits this feature to its full potential, and even if you have the impression that you are writing code in a blocking manner, this is not the case. Ktor makes your life easier.

HTTP Server

Here is a complete and simple example of how to expose an HTTP server (http://localhost:8080) with Ktor.

fun main(args: Array<String>): Unit = io.ktor.server.netty.EngineMain.main(args) @kotlin.jvm.JvmOverloads fun Application.module(testing: Boolean = false) { routing { get("/") { call.respondText("Hello World", contentType = ContentType.Text.Plain) } } }
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URL Encoder

The URL encoder will translate an incoming address into a smaller URL. The idea is to provide an ID that will identify the final URL. Using a hash function is perfect for this operation. However, the operation is non-reversible, meaning you can’t retrieve the final URL by the generated identifier.

Function to transform a long URL into a shorter URL

// String extension fun String.encodeToID(): String { // hash String with MD5 val hashBytes = MessageDigest.getInstance("MD5").digest(this.toByteArray(Charsets.UTF_8)) // transform to human readable MD5 String val hashString = String.format("%032x", BigInteger(1, hashBytes)) // truncate MD5 String val truncatedHashString = hashString.take(6) // return id return truncatedHashString }
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We expose the function through the REST API

// Request object data class Request(val url: String) { fun toResponse(): Response = Response(url, url.encodeToID()) } // Response object data class Response(val originalURL: String, private val id: String) { val shortURL: String = "http://localhost:8080/$id" } @kotlin.jvm.JvmOverloads fun Application.module(testing: Boolean = false) { install(ContentNegotiation) { jackson { enable(SerializationFeature.INDENT_OUTPUT) propertyNamingStrategy = PropertyNamingStrategy.SNAKE_CASE } } // Hash Table Response object by ID val responseByID = mutableMapOf<String, Response>() routing { post("/api/v1/encode") { // Deserialize JSON body to Request object val request = call.receive<Request>() // find the Response object if it already exists val retrievedResponse = responseByID[request.url.encodeToID()] if (retrievedResponse != null) { // cache hit log.debug("cache hit $retrievedResponse") return@post call.respond(retrievedResponse) } // cache miss val response = request.toResponse() responseByID[request.url.encodeToID()] = response log.debug("cache miss $response") // Serialize Response object to JSON body call.respond(response) } } }
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Handle identifier collision

Using a hash function makes no guarantee that it is not already being used. If it is in use, then you need to change it to another one. Note: even if the probability to have a collision is very low, you should handle this case.

// String extension (function signature has changed) fun String.encodeToID(truncateLength: Int = 6): String { // hash String with MD5 val hashBytes = MessageDigest.getInstance("MD5").digest(this.toByteArray(Charsets.UTF_8)) // transform to human readable MD5 String val hashString = String.format("%032x", BigInteger(1, hashBytes)) // truncate MD5 String val truncatedHashString = hashString.take(truncateLength) // return id return truncatedHashString } //... @kotlin.jvm.JvmOverloads fun Application.module(testing: Boolean = false) { // ... // Hash Table Response object by id val responseByID = mutableMapOf<String, Response>() fun getIdentifier(url: String, truncateLength: Int = 6): String { val id = url.encodeToID() val retrievedResponse = responseByID[id] if (retrievedResponse?.originalURL != url) { // collision spotted ! return getIdentifier(url, truncateLength + 1) } return id } routing { post("/api/v1/encode") { // Deserialize JSON body to Request object val request = call.receive<Request>() // find the Response object if it already exists val id = getID(request.url) val retrievedResponse = responseByID[id] if (retrievedResponse != null) { // cache hit log.debug("cache hit $retrievedResponse") return@post call.respond(retrievedResponse) } // cache miss val response = request.toResponse() responseByID[id] = response log.debug("cache miss $response") // Serialize Response object to JSON body call.respond(response) } } }
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URL Decoder

Decoding the URL is the process of returning the original URL from the short URL. This is the reverse operation made by the URL Encoder

val shortURL = getShortURL(request.url) val retrievedResponse = responseByID[shortURL] retrievedResponse?.originalURL // return original URL or null
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Redirect

When a user clicks on a short URL, the user is redirected to the final URL. HTTP protocol allows to do this naturally by returning a 302 status code and a redirection URL.

With Ktor the redirection is as simple as calling a method with the final URL as a parameter.

call.respondRedirect("https://www.qovery.com")
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What we expect is that when the user visits http://localhost:8080/fbc951 he is redirected to https://www.qovery.com. If the URL is incorrect then redirect to https://www.google.com

@kotlin.jvm.JvmOverloads fun Application.module(testing: Boolean = false) { // ... routing { get("/{id}") { val id = call.parameters["id"] val retrievedResponse = id?.let { responseByID[it] } if (id.isNullOrBlank() || retrievedResponse == null) { return@get call.respondRedirect("https://www.google.com") } log.debug("redirect to: $retrievedResponse") call.respondRedirect(retrievedResponse.originalURL) } // ... } }
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Stats: clicks over time

Something that is really useful on products like bit.ly is the stats provided (click over time, referrers, country of visitors). Here is how to store click over time and make them available through the API

// added data class Stat(val clicksOverTime: MutableList<Date> = mutableListOf()) // Response object (modified with Stat) data class Response(val originalURL: String, private val id: String, val stat: Stat = Stat()) { val shortURL: String = "http://localhost:8080/$id" } @kotlin.jvm.JvmOverloads fun Application.module(testing: Boolean = false) { install(ContentNegotiation) { jackson { // ... // add this line to return Date object as ISO8601 format disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS) } } // ... routing { // ... get("/api/v1/url/{id}/stat") { val id = call.parameters["id"] val retrievedResponse = id?.let { responseByID[it] } if (id.isNullOrBlank() || retrievedResponse == null) { return@get call.respond(HttpStatusCode.NoContent) } call.respond(retrievedResponse.stat) } // ... } }
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Try the API

Run the application

$ ./gradlew run //... 2020-03-12 09:28:08.150 [main] INFO Application - No ktor.deployment.watch patterns specified, automatic reload is not active 2020-03-12 09:28:08.606 [main] INFO Application - Responding at http://0.0.0.0:8080
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Then execute the commands

# generate a short URL $ curl -X POST -d '{"url": "https://www.qovery.com"}' -H "Content-type: application/json" "http://localhost:8080/api/v1/encode" { "original_url": "https://www.qovery.com", "stat": { "clicks_over_time": [] }, "short_url": "http://localhost:8080/fbc951" } # generate 4 fake clicks $ curl -X GET 'http://localhost:8080/fbc951' $ curl -X GET 'http://localhost:8080/fbc951' $ curl -X GET 'http://localhost:8080/fbc951' $ curl -X GET 'http://localhost:8080/fbc951' # show stat $ curl -X GET 'http://localhost:8080/api/v1/url/fbc951/stat' { "clicks_over_time": [ "2020-03-11T21:10:52.354+0000", "2020-03-11T21:10:54.093+0000", "2020-03-11T21:12:34.987+0000", "2020-03-11T21:12:37.223+0000" ] }
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Connect to a PostgreSQL database with Exposed

By storing the data in memory, we lose all the data every time the application restart. Which is problematic for running in production. To make the data persistent we will store it in a PostgreSQL database. We will have to add 1 new dependency - Exposed. Exposed (with Hikari Connection Pool) is a lightweight SQL library on top of JDBC driver for Kotlin. With exposed it is possible to access databases in two flavours: typesafe SQL wrapping DSL and lightweight Data Access Objects (DAO).

Add the dependencies to your build.gradle (or POM.xml)

repositories { jcenter() } dependencies { // Connection Pool and PostgreSQL driver implementation("com.zaxxer:HikariCP:3.4.2") implementation("org.postgresql:postgresql:42.2.11") // Exposed implementation("org.jetbrains.exposed:exposed-core:0.22.1") implementation("org.jetbrains.exposed:exposed-dao:0.22.1") implementation("org.jetbrains.exposed:exposed-jdbc:0.22.1") implementation("org.jetbrains.exposed:exposed-java-time:0.22.1") }
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We need to have 2 distincts tables, one containing all the final URLs with their correspond identifier

object ResponseTable : Table("response") { val id = varchar("id", 32) val originalURL = varchar("original_url", 2048) override val primaryKey: PrimaryKey = PrimaryKey(id) }
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And a second one with all the clicking points

object ClickOverTimeTable : Table("click_over_time") { val id = integer("id").autoIncrement() val clickDate = datetime("click_date") val response = reference("response_id", onDelete = ReferenceOption.CASCADE, refColumn = ResponseTable.id) override val primaryKey: PrimaryKey = PrimaryKey(id) }
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We need to create the tables as defined above programmatically

fun initDatabase() { val config = HikariConfig().apply { jdbcUrl = "jdbc:postgresql://127.0.0.1:5432/exposed" username = "exposed" password = "exposed" driverClassName = "org.postgresql.Driver" } Database.connect(HikariDataSource(config)) transaction { // create tables if they do not exist SchemaUtils.createMissingTablesAndColumns(RequestTable, ClickOverTimeTable) } } @kotlin.jvm.JvmOverloads fun Application.module(testing: Boolean = false) { initDatabase() // ... }
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We have to replace the Hash Table used to store the data by the PostgreSQL database (see the final code here)

Deploy in the Cloud with Qovery

Qovery is going to help us to deploy the final application in the Cloud without the need to configure the CI/CD, network, security, load balancing, database and all the DevOps tasks

Qovery is a Container as a Service platform for developer - developers can deploy their application in the Cloud in just a few seconds

Pre-requisites:

To deploy on Qovery 2 files are mandatories

.qovery.yml - a very simple way to declare the dependencies that you need (e.g: PostgreSQL) and where you want to run it (here on AWS and eu-west-3 / Paris)

application: name: api project: url-shortener cloud_region: aws/eu-west-3 publicly_accessible: true databases: - type: postgresql version: "11.5" name: my-pql-db routers: - name: main routes: - application_name: api paths: - /*
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Dockerfile - to build and run your application on Qovery

FROM openjdk:8-jre-alpine ENV APPLICATION_USER ktor RUN adduser -D -g '' $APPLICATION_USER RUN mkdir /app RUN chown -R $APPLICATION_USER /app USER $APPLICATION_USER COPY ./build/libs/ktor-url-shortener.jar /app/ktor-url-shortener.jar WORKDIR /app CMD ["java", "-server", "-XX:+UnlockExperimentalVMOptions", "-XX:+UseCGroupMemoryLimitForHeap", "-XX:InitialRAMFraction=2", "-XX:MinRAMFraction=2", "-XX:MaxRAMFraction=2", "-XX:+UseG1GC", "-XX:MaxGCPauseMillis=100", "-XX:+UseStringDeduplication", "-jar", "ktor-url-shortener.jar"]
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Connect to PostgreSQL

Qovery add dynamically all required environment variables to connect to the database at the runtime of the container.

To list all of them

$ qovery application env list SCOPE | KEY | VALUE BUILT_IN | QOVERY_JSON_B64 | <base64> BUILT_IN | QOVERY_BRANCH_NAME | with_postgresql BUILT_IN | QOVERY_IS_PRODUCTION | false BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_NAME | my-pql-db BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_TYPE | POSTGRESQL BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_VERSION | 11.5 BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_CONNECTION_URI | <hidden> BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_CONNECTION_URI_WITHOUT_CREDENTIALS | <hidden> BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_HOST | <hidden> BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_FQDN | <hidden> BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_PORT | <hidden> BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_USERNAME | <hidden> BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_PASSWORD | <hidden> BUILT_IN | QOVERY_DATABASE_MY_PQL_DB_DATABASE | postgres BUILT_IN | QOVERY_APPLICATION_API_HOSTNAME | <hidden> BUILT_IN | QOVERY_APPLICATION_API_HOST | <hidden>
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To use them

fun initDatabase() { val config = HikariConfig().apply { jdbcUrl = "jdbc:${System.getenv("QOVERY_DATABASE_MY_PQL_DB_CONNECTION_URI_WITHOUT_CREDENTIALS")}" username = System.getenv("QOVERY_DATABASE_MY_PQL_DB_USERNAME") password = System.getenv("QOVERY_DATABASE_MY_PQL_DB_PASSWORD") driverClassName = "org.postgresql.Driver" } Database.connect(HikariDataSource(config)) transaction { // create tables if they do not exist SchemaUtils.createMissingTablesAndColumns(RequestTable, ClickOverTimeTable) } }
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Deploy

Deploying your app with Qovery is as simple as commit and push your code.

$ git add .qovery.yml Dockerfile $ git commit -m "add .qovery.yml and Dockerfile files" $ git push -u origin master
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To get the public URL

$ qovery status BRANCH NAME | STATUS | ENDPOINTS | APPLICATIONS | DATABASES | BROKERS | STORAGE with_postgresql | running | https://qavcgggy6g6dlkbj-main-gtw.qovery.io | 1 | 1 | 0 | 0 APPLICATION NAME | STATUS | ENDPOINT | DATABASES | BROKERS | STORAGE api | running | https://ete6bq97amj9n82c-qavcgggy6g6dlkbj-app.qovery.io | 1 | 0 | 0 DATABASE NAME | STATUS | TYPE | VERSION | ENDPOINT | PORT | USERNAME | PASSWORD | APPLICATIONS my-pql-db | running | POSTGRESQL | 11.5 | <hidden> | <hidden> | <hidden> | <hidden> | api
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Conclusion

We have seen that creating an URL shortener API with Ktor and Kotlin is extremely simple. The connection of the application with the PostgreSQL database is done in a very easy way with the Exposed library. In just a few lines of code the service is fully functional, and can be deployed in production very quickly with the help of Qovery. In the next part we will see how to create a web interface connecting to this API to convert our URLs without using the curl command.

Part 2: bind a web interface to the API - [link coming soon]

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