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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
apply plugin: org.apache.beam.gradle.BeamModulePlugin
applyJavaNature()
description = "Apache Beam :: SDKs :: Java :: Nexmark"
// When running via Gradle, this property can be used to pass commandline arguments
// to the nexmark launch
def nexmarkArgsProperty = "nexmark.args"
def nexmarkArgs = project.hasProperty(nexmarkArgsProperty) ?
project.getProperty(nexmarkArgsProperty).split() : []
// When running via Gradle, this property sets the runner dependency
def nexmarkRunnerProperty = "nexmark.runner"
def nexmarkRunnerDependency = (project.hasProperty(nexmarkRunnerProperty)
? project.getProperty(nexmarkRunnerProperty)
: ":beam-runners-direct-java")
def shouldProvideSpark = ":beam-runners-spark".equals(nexmarkRunnerDependency)
configurations {
// A configuration for running the Nexmark launcher directly from Gradle, which
// uses Gradle to put the appropriate dependencies on the Classpath rather than
// bundling them into a fat jar
gradleRun
}
dependencies {
compile library.java.guava
shadow project(path: ":beam-sdks-java-core", configuration: "shadow")
shadow project(path: ":beam-sdks-java-io-google-cloud-platform", configuration: "shadow")
shadow project(path: ":beam-sdks-java-extensions-google-cloud-platform-core", configuration: "shadow")
shadow project(path: ":beam-sdks-java-extensions-sql", configuration: "shadow")
shadow project(path: ":beam-sdks-java-io-kafka", configuration: "shadow")
shadow library.java.google_api_services_bigquery
shadow library.java.jackson_core
shadow library.java.jackson_annotations
shadow library.java.jackson_databind
shadow library.java.avro
shadow library.java.joda_time
shadow library.java.slf4j_api
shadow library.java.commons_lang3
shadow library.java.kafka_clients
shadow project(path: ":beam-runners-direct-java", configuration: "shadow")
shadow library.java.slf4j_jdk14
provided library.java.junit
provided library.java.hamcrest_core
shadow project(path: ":beam-sdks-java-io-google-cloud-platform", configuration: "shadow")
shadowTest project(path: ":beam-sdks-java-io-google-cloud-platform", configuration: "shadowTest")
testCompile library.java.hamcrest_core
testCompile library.java.hamcrest_library
gradleRun project(path: project.path, configuration: "shadow")
gradleRun project(path: nexmarkRunnerDependency, configuration: "shadow")
// The Spark runner requires the user to provide a Spark dependency. For self-contained
// runs with the Spark runner, we can provide such a dependency. This is deliberately phrased
// to not hardcode any runner other than :beam-runners-direct-java
if (shouldProvideSpark) {
gradleRun library.java.spark_streaming
gradleRun library.java.spark_core, {
exclude group:"org.slf4j", module:"jul-to-slf4j"
}
}
}
if (shouldProvideSpark) {
configurations.gradleRun {
// Using Spark runner causes a StackOverflowError if slf4j-jdk14 is on the classpath
exclude group: "org.slf4j", module: "slf4j-jdk14"
}
}
// Execute the Nexmark queries or suites via Gradle.
//
// Parameters:
// -Pnexmark.runner
// Specify a runner subproject, such as ":beam-runners-spark" or ":beam-runners-flink"
// Defaults to ":beam-runners-direct-java"
//
// -Pnexmark.args
// Specify the command line for invoking org.apache.beam.sdk.nexmark.Main
task run(type: JavaExec) {
main = "org.apache.beam.sdk.nexmark.Main"
classpath = configurations.gradleRun
args nexmarkArgs
}