Scala 如何创建一个源来将度量从Spark导出到另一个接收器(Prometheus)?
我正试图从我用Scala编写的spark应用程序中创建一个度量源,以便将数据导出到另一个系统,最好是Prometheus。根据这个网站从我需要创建一个来源,扩展源特性。但是,源特征是私有[spark]特征源,我的源代码无法将其可视化。当我创建这个类时,我得到一个错误Scala 如何创建一个源来将度量从Spark导出到另一个接收器(Prometheus)?,scala,apache-spark,Scala,Apache Spark,我正试图从我用Scala编写的spark应用程序中创建一个度量源,以便将数据导出到另一个系统,最好是Prometheus。根据这个网站从我需要创建一个来源,扩展源特性。但是,源特征是私有[spark]特征源,我的源代码无法将其可视化。当我创建这个类时,我得到一个错误符号源无法从此位置访问 package org.sense.spark.util import org.apache.spark.metrics.source.Source import com.codahale.metrics.{
符号源无法从此位置访问
package org.sense.spark.util
import org.apache.spark.metrics.source.Source
import com.codahale.metrics.{Counter, Histogram, MetricRegistry}
class MetricSource extends Source {
override val sourceName: String = "MySource"
override val metricRegistry: MetricRegistry = new MetricRegistry
val FOO: Histogram = metricRegistry.histogram(MetricRegistry.name("fooHistory"))
val FOO_COUNTER: Counter = metricRegistry.counter(MetricRegistry.name("fooCounter"))
}
我如何创建源以将数据导出到普罗米修斯?我想从combineByKey
转换中的UDF导出监控值。这些值将是聚合的延迟和转换的吞吐量
这是我的build.sbt
文件,以防需要检查我正在使用的库
name := "explore-spark"
version := "0.2"
scalaVersion := "2.12.3"
val sparkVersion = "3.0.0"
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % sparkVersion,
"org.apache.spark" %% "spark-streaming" % sparkVersion % "provided",
"org.apache.spark" %% "spark-sql" % sparkVersion % "provided",
"com.twitter" %% "algebird-core" % "0.13.7",
"joda-time" % "joda-time" % "2.5",
"org.fusesource.mqtt-client" % "mqtt-client" % "1.16"
)
mainClass in(Compile, packageBin) := Some("org.sense.spark.app.App")
mainClass in assembly := Some("org.sense.spark.app.App")
assemblyOption in assembly := (assemblyOption in assembly).value.copy(includeScala = false)
assemblyJarName in assembly := s"${name.value}_${scalaBinaryVersion.value}-fat_${version.value}.jar"
您需要将扩展源代码的类与源代码放在同一个包中
package org.apache.spark.metrics.source
import com.codahale.metrics.{Counter, Histogram, MetricRegistry}
class MetricsSource extends Source {
override val sourceName: String = "MySource"
override val metricRegistry: MetricRegistry = new MetricRegistry
val FOO: Histogram = metricRegistry.histogram(MetricRegistry.name("fooHistory"))
val FOO_COUNTER: Counter = metricRegistry.counter(MetricRegistry.name("fooCounter"))
}
您需要将扩展源代码的类与源代码放在同一个包中
package org.apache.spark.metrics.source
import com.codahale.metrics.{Counter, Histogram, MetricRegistry}
class MetricsSource extends Source {
override val sourceName: String = "MySource"
override val metricRegistry: MetricRegistry = new MetricRegistry
val FOO: Histogram = metricRegistry.histogram(MetricRegistry.name("fooHistory"))
val FOO_COUNTER: Counter = metricRegistry.counter(MetricRegistry.name("fooCounter"))
}
如果您需要使用prometheus接收器而不是控制台接收器,则可以使用为spark prometheus接收器编写的第三方库。这通过pushgateway实现-如果您需要使用prometheus接收器而不是控制台接收器,则可以使用为spark prometheus接收器编写的第三方库。这项工作通过pushgateway-