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Posted to commits@hudi.apache.org by "sivabalan narayanan (Jira)" <ji...@apache.org> on 2020/05/15 11:48:00 UTC
[jira] [Assigned] (HUDI-867) Graphite metrics are throwing
IllegalArgumentException on continuous mode
[ https://issues.apache.org/jira/browse/HUDI-867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
sivabalan narayanan reassigned HUDI-867:
----------------------------------------
Assignee: Raymond Xu
> Graphite metrics are throwing IllegalArgumentException on continuous mode
> -------------------------------------------------------------------------
>
> Key: HUDI-867
> URL: https://issues.apache.org/jira/browse/HUDI-867
> Project: Apache Hudi (incubating)
> Issue Type: Bug
> Components: DeltaStreamer
> Reporter: João Esteves
> Assignee: Raymond Xu
> Priority: Major
> Labels: bug-bash-0.6.0
>
> Hello everyone, I am trying to extract Graphite metrics from Hudi using a Spark Streaming process, but the method that sends metrics is throwing java.lang.IllegalArgumentException after the first microbatch, like this:
> {code:java}
> 20/05/06 11:49:25 ERROR Metrics: Failed to send metrics:
> java.lang.IllegalArgumentException: A metric named kafka_hudi.finalize.duration already exists
> at org.apache.hudi.com.codahale.metrics.MetricRegistry.register(MetricRegistry.java:97)
> at org.apache.hudi.metrics.Metrics.registerGauge(Metrics.java:83)
> at org.apache.hudi.metrics.HoodieMetrics.updateFinalizeWriteMetrics(HoodieMetrics.java:177)
> at org.apache.hudi.HoodieWriteClient.lambda$finalizeWrite$14(HoodieWriteClient.java:1233)
> at org.apache.hudi.common.util.Option.ifPresent(Option.java:96)
> at org.apache.hudi.HoodieWriteClient.finalizeWrite(HoodieWriteClient.java:1231)
> at org.apache.hudi.HoodieWriteClient.commit(HoodieWriteClient.java:497)
> at org.apache.hudi.HoodieWriteClient.commit(HoodieWriteClient.java:479)
> at org.apache.hudi.HoodieWriteClient.commit(HoodieWriteClient.java:470)
> at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:152)
> at org.apache.hudi.HoodieStreamingSink$$anonfun$1$$anonfun$2.apply(HoodieStreamingSink.scala:51)
> at org.apache.hudi.HoodieStreamingSink$$anonfun$1$$anonfun$2.apply(HoodieStreamingSink.scala:51)
> at scala.util.Try$.apply(Try.scala:192)
> at org.apache.hudi.HoodieStreamingSink$$anonfun$1.apply(HoodieStreamingSink.scala:50)
> at org.apache.hudi.HoodieStreamingSink$$anonfun$1.apply(HoodieStreamingSink.scala:50)
> at org.apache.hudi.HoodieStreamingSink.retry(HoodieStreamingSink.scala:114)
> at org.apache.hudi.HoodieStreamingSink.addBatch(HoodieStreamingSink.scala:49)
> at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$5$$anonfun$apply$17.apply(MicroBatchExecution.scala:537)
> at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:84)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:165)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:74)
> at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$5.apply(MicroBatchExecution.scala:535)
> at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:351)
> at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
> at org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch(MicroBatchExecution.scala:534)
> at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:198)
> at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:166)
> at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:166)
> at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:351)
> at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
> at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:166)
> at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
> at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:160)
> at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:281)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:193)
> {code}
> Here is my config object for Hudi:
> {code:scala}
> val hudiOptions = Map[String,String](
> HoodieWriteConfig.TABLE_NAME -> hudiTableName,
> DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY -> "key",
> DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY -> "dt",
> DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY -> "timestamp",
> DataSourceWriteOptions.OPERATION_OPT_KEY -> "insert",
> DataSourceWriteOptions.INSERT_DROP_DUPS_OPT_KEY -> "true",
> HoodieCompactionConfig.CLEANER_COMMITS_RETAINED_PROP -> "1",
> HoodieMetricsConfig.METRICS_ON -> "true",
> HoodieMetricsConfig.METRICS_REPORTER_TYPE -> "GRAPHITE",
> HoodieMetricsConfig.GRAPHITE_SERVER_HOST -> "localhost",
> HoodieMetricsConfig.GRAPHITE_SERVER_PORT -> "4756",
> HoodieMetricsConfig.GRAPHITE_METRIC_PREFIX -> "hudi"
> )
> {code}
> Environment Description
> * Hudi version: 0.5.0
> * Spark version : 2.4.4
> * Hive version : 2.3.6
> * Hadoop version : Amazon 2.8.5 (emr-5.29.0)
> * Storage (HDFS/S3/GCS..) : S3
> * Running on Docker? (yes/no) : No
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