Hendrik Muhs 4f662bd289
Add data frame feature (#38934) (#39029)
The data frame plugin allows users to create feature indexes by pivoting a source index. In a
nutshell this can be understood as reindex supporting aggregations or similar to the so called entity
centric indexing.

Full history is provided in: feature/data-frame-transforms
2019-02-18 11:07:29 +01:00

38 lines
1.1 KiB
Groovy

evaluationDependsOn(xpackModule('core'))
apply plugin: 'elasticsearch.esplugin'
esplugin {
name 'data-frame'
description 'A plugin to build data frames'
classname 'org.elasticsearch.xpack.dataframe.DataFrame'
extendedPlugins = ['x-pack-core']
}
compileJava.options.compilerArgs << "-Xlint:-rawtypes"
compileTestJava.options.compilerArgs << "-Xlint:-rawtypes"
dependencies {
compileOnly "org.elasticsearch:elasticsearch:${version}"
compileOnly project(path: xpackModule('core'), configuration: 'default')
testCompile project(path: xpackModule('core'), configuration: 'testArtifacts')
}
run {
plugin xpackModule('core')
}
// xpack modules are installed in real clusters as the meta plugin, so
// installing them as individual plugins for integ tests doesn't make sense,
// so we disable integ tests
integTest.enabled = false
// add all sub-projects of the qa sub-project
gradle.projectsEvaluated {
project.subprojects
.find { it.path == project.path + ":qa" }
.subprojects
.findAll { it.path.startsWith(project.path + ":qa") }
.each { check.dependsOn it.check }
}