An example of Apache Flink processing data incoming from a socket.
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6 years ago
resolvers in ThisBuild ++= Seq("Apache Development Snapshot Repository" at "https://repository.apache.org/content/repositories/snapshots/",
"velvia maven" at "http://dl.bintray.com/velvia/maven",
Resolver.mavenLocal)
// settings definitions
val flinkVersion = settingKey[String]("Flink version")
val flinkDependencies = settingKey[Seq[String]]("Direct flink dependencies")
// The "main" project
lazy val root = (project in file("."))
.settings(
name := "SocketFlink",
version := "1.99.8",
organization := "net.juliobiason",
flinkVersion := "1.4.0",
scalaVersion := "2.11.8",
mainClass := Some("net.juliobiason.flink.SocketWindowWordCount"),
// dependencies
libraryDependencies ++= Seq(
"commons-codec" % "commons-codec" % "1.11",
"mysql" % "mysql-connector-java" % "5.1.24",
"org.apache.flink" % "flink-core" % flinkVersion.value,
"org.apache.flink" % "flink-java" % flinkVersion.value,
"org.apache.flink" %% "flink-streaming-java" % flinkVersion.value % "provided",
"org.slf4j" % "slf4j-log4j12" % "1.7.25"
),
// as silly as it looks, this is what we need to do to run our
// pipeline as a standalone project (using Flink libraries, but
// not Flink itself).
run := Defaults.runTask(fullClasspath in Compile,
mainClass in (Compile, run),
runner in (Compile, run)).evaluated,
javacOptions += "-Xlint:deprecation",
javacOptions += "-Xlint:unchecked"
)