注意：我在YARN上使用Spark
我一直在试用Spark中实现的Metric System。我启用了ConsoleSink和CsvSink，并为所有四个实例（驱动程序，主服务器，执行程序，工作程序）启用了JvmSource。但是我只有驱动程序输出，控制台和csv目标目录中没有worker / executor / master数据。
阅读this question之后，我想知道在提交工作时是否必须向执行人提供一些东西。
我的提交命令：
./bin/spark-submit --class org.apache.spark.examples.SparkPi lib/spark-examples-1.5.0-hadoop2.6.0.jar 10
Bellow是我的 metric.properties 文件：
# Enable JmxSink for all instances by class name
*.sink.jmx.class=org.apache.spark.metrics.sink.JmxSink
# Enable ConsoleSink for all instances by class name
*.sink.console.class=org.apache.spark.metrics.sink.ConsoleSink
# Polling period for ConsoleSink
*.sink.console.period=10
*.sink.console.unit=seconds
#######################################
# worker instance overlap polling period
worker.sink.console.period=5
worker.sink.console.unit=seconds
#######################################
# Master instance overlap polling period
master.sink.console.period=15
master.sink.console.unit=seconds
# Enable CsvSink for all instances
*.sink.csv.class=org.apache.spark.metrics.sink.CsvSink
#driver.sink.csv.class=org.apache.spark.metrics.sink.CsvSink
# Polling period for CsvSink
*.sink.csv.period=10
*.sink.csv.unit=seconds
# Polling directory for CsvSink
*.sink.csv.directory=/opt/spark-1.5.0-bin-hadoop2.6/csvSink/
# Worker instance overlap polling period
worker.sink.csv.period=10
worker.sink.csv.unit=second
# Enable Slf4jSink for all instances by class name
#*.sink.slf4j.class=org.apache.spark.metrics.sink.Slf4jSink
# Polling period for Slf4JSink
#*.sink.slf4j.period=1
#*.sink.slf4j.unit=minutes
# Enable jvm source for instance master, worker, driver and executor
master.source.jvm.class=org.apache.spark.metrics.source.JvmSource
worker.source.jvm.class=org.apache.spark.metrics.source.JvmSource
driver.source.jvm.class=org.apache.spark.metrics.source.JvmSource
executor.source.jvm.class=org.apache.spark.metrics.source.JvmSource
这是Spark创建的csv文件列表。我期待为Spark执行程序（也是JVM）访问相同的数据。
app-20160812135008-0013.driver.BlockManager.disk.diskSpaceUsed_MB.csv
app-20160812135008-0013.driver.BlockManager.memory.maxMem_MB.csv
app-20160812135008-0013.driver.BlockManager.memory.memUsed_MB.csv
app-20160812135008-0013.driver.BlockManager.memory.remainingMem_MB.csv
app-20160812135008-0013.driver.jvm.heap.committed.csv
app-20160812135008-0013.driver.jvm.heap.init.csv
app-20160812135008-0013.driver.jvm.heap.max.csv
app-20160812135008-0013.driver.jvm.heap.usage.csv
app-20160812135008-0013.driver.jvm.heap.used.csv
app-20160812135008-0013.driver.jvm.non-heap.committed.csv
app-20160812135008-0013.driver.jvm.non-heap.init.csv
app-20160812135008-0013.driver.jvm.non-heap.max.csv
app-20160812135008-0013.driver.jvm.non-heap.usage.csv
app-20160812135008-0013.driver.jvm.non-heap.used.csv
app-20160812135008-0013.driver.jvm.pools.Code-Cache.committed.csv
app-20160812135008-0013.driver.jvm.pools.Code-Cache.init.csv
app-20160812135008-0013.driver.jvm.pools.Code-Cache.max.csv
app-20160812135008-0013.driver.jvm.pools.Code-Cache.usage.csv
app-20160812135008-0013.driver.jvm.pools.Code-Cache.used.csv
app-20160812135008-0013.driver.jvm.pools.Compressed-Class-Space.committed.csv
app-20160812135008-0013.driver.jvm.pools.Compressed-Class-Space.init.csv
app-20160812135008-0013.driver.jvm.pools.Compressed-Class-Space.max.csv
app-20160812135008-0013.driver.jvm.pools.Compressed-Class-Space.usage.csv
app-20160812135008-0013.driver.jvm.pools.Compressed-Class-Space.used.csv
app-20160812135008-0013.driver.jvm.pools.Metaspace.committed.csv
app-20160812135008-0013.driver.jvm.pools.Metaspace.init.csv
app-20160812135008-0013.driver.jvm.pools.Metaspace.max.csv
app-20160812135008-0013.driver.jvm.pools.Metaspace.usage.csv
app-20160812135008-0013.driver.jvm.pools.Metaspace.used.csv
app-20160812135008-0013.driver.jvm.pools.PS-Eden-Space.committed.csv
app-20160812135008-0013.driver.jvm.pools.PS-Eden-Space.init.csv
app-20160812135008-0013.driver.jvm.pools.PS-Eden-Space.max.csv
app-20160812135008-0013.driver.jvm.pools.PS-Eden-Space.usage.csv
app-20160812135008-0013.driver.jvm.pools.PS-Eden-Space.used.csv
app-20160812135008-0013.driver.jvm.pools.PS-Old-Gen.committed.csv
app-20160812135008-0013.driver.jvm.pools.PS-Old-Gen.init.csv
app-20160812135008-0013.driver.jvm.pools.PS-Old-Gen.max.csv
app-20160812135008-0013.driver.jvm.pools.PS-Old-Gen.usage.csv
app-20160812135008-0013.driver.jvm.pools.PS-Old-Gen.used.csv
app-20160812135008-0013.driver.jvm.pools.PS-Survivor-Space.committed.csv
app-20160812135008-0013.driver.jvm.pools.PS-Survivor-Space.init.csv
app-20160812135008-0013.driver.jvm.pools.PS-Survivor-Space.max.csv
app-20160812135008-0013.driver.jvm.pools.PS-Survivor-Space.usage.csv
app-20160812135008-0013.driver.jvm.pools.PS-Survivor-Space.used.csv
app-20160812135008-0013.driver.jvm.PS-MarkSweep.count.csv
app-20160812135008-0013.driver.jvm.PS-MarkSweep.time.csv
app-20160812135008-0013.driver.jvm.PS-Scavenge.count.csv
app-20160812135008-0013.driver.jvm.PS-Scavenge.time.csv
app-20160812135008-0013.driver.jvm.total.committed.csv
app-20160812135008-0013.driver.jvm.total.init.csv
app-20160812135008-0013.driver.jvm.total.max.csv
app-20160812135008-0013.driver.jvm.total.used.csv
DAGScheduler.job.activeJobs.csv
DAGScheduler.job.allJobs.csv
DAGScheduler.messageProcessingTime.csv
DAGScheduler.stage.failedStages.csv
DAGScheduler.stage.runningStages.csv
DAGScheduler.stage.waitingStages.csv
答案 0 :(得分：3)
由于您没有给出您尝试的命令，我假设您没有传递metrics.properties。要传递metrics.propertis，命令应为
spark-submit <other parameters> --files metrics.properties
--conf spark.metrics.conf=metrics.properties
注意必须在--files＆amp;中指定metrics.properties。 --conf， - files将metrics.properties文件传输给执行程序。既然您可以在驱动程序上看到输出而不是执行程序，我认为您缺少--files选项。