streaming.core.compositor.spark.transformation.DFScriptCompositor.scala Maven / Gradle / Ivy
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* 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.
*/
package streaming.core.compositor.spark.transformation
import java.util
import net.liftweb.{json => SJSon}
import org.apache.log4j.Logger
import org.apache.spark.sql.{DataFrame, Row, SQLContext}
import org.apache.spark.util.{ScalaSourceCodeCompiler, ScriptCacheKey}
import serviceframework.dispatcher.{Compositor, Processor, Strategy}
import streaming.core.CompositorHelper
import streaming.core.compositor.spark.api.Transform
import scala.collection.JavaConversions._
/**
* 8/2/16 WilliamZhu([email protected])
*/
class DFScriptCompositor[T] extends Compositor[T] with CompositorHelper {
def scripts = {
_configParams.get(1).map { fieldAndCode =>
(fieldAndCode._1.toString, fieldAndCode._2 match {
case a: util.List[String] => a.mkString(" ")
case a: String => a
case _ => ""
})
}
}
protected var _configParams: util.List[util.Map[Any, Any]] = _
val logger = Logger.getLogger(classOf[SQLCompositor[T]].getName)
override def initialize(typeFilters: util.List[String], configParams: util.List[util.Map[Any, Any]]): Unit = {
this._configParams = configParams
}
def source = {
config[String]("source", _configParams)
}
def script = {
config[String]("script", _configParams)
}
override def result(alg: util.List[Processor[T]], ref: util.List[Strategy[T]], middleResult: util.List[T], params: util.Map[Any, Any]): util.List[T] = {
val context = sparkSession(params)
val _source = source.getOrElse("")
val _script = script.getOrElse("")
val _transformClzz = config[String]("clzz", _configParams)
def loadScriptFromFile(script: String) = {
if ("file" == _source || script.startsWith("file:/") || script.startsWith("hdfs:/")) {
context.sparkContext.textFile(script).collect().mkString("\n")
} else if (script.startsWith("classpath:/")) {
val cleanScriptFilePath = script.substring("classpath://".length)
scala.io.Source.fromInputStream(
this.getClass.getResourceAsStream(cleanScriptFilePath)).getLines().
mkString("\n")
}
else script
}
_transformClzz match {
case Some(clzz) =>
Class.forName(clzz).newInstance().asInstanceOf[Transform].
process(context.sqlContext, params.toMap, _configParams.get(0).map(f => (f._1.toString, f._2.toString)).toMap)
case None =>
val executor = ScalaSourceCodeCompiler.execute(ScriptCacheKey("context", loadScriptFromFile(_script)))
executor.execute(context.sqlContext)
}
middleResult
}
}