Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/15307#discussion_r82890911
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamMetrics.scala
---
@@ -0,0 +1,244 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file 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 org.apache.spark.sql.execution.streaming
+
+import java.{util => ju}
+
+import scala.collection.mutable
+
+import com.codahale.metrics.{Gauge, MetricRegistry}
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.metrics.source.{Source => CodahaleSource}
+import org.apache.spark.util.Clock
+
+/**
+ * Class that manages all the metrics related to a StreamingQuery. It does
the following.
+ * - Calculates metrics (rates, latencies, etc.) based on information
reported by StreamExecution.
+ * - Allows the current metric values to be queried
+ * - Serves some of the metrics through Codahale/DropWizard metrics
+ *
+ * @param sources Unique set of sources in a query
+ * @param triggerClock Clock used for triggering in StreamExecution
+ * @param codahaleSourceName Root name for all the Codahale metrics
+ */
+class StreamMetrics(sources: Set[Source], triggerClock: Clock,
codahaleSourceName: String)
+ extends CodahaleSource with Logging {
+
+ import StreamMetrics._
+
+ // Trigger infos
+ private val triggerStatus = new mutable.HashMap[String, String]
+ private val sourceTriggerStatus = new mutable.HashMap[Source,
mutable.HashMap[String, String]]
+
+ // Rate estimators for sources and sinks
+ private val inputRates = new mutable.HashMap[Source, RateCalculator]
+ private val processingRates = new mutable.HashMap[Source, RateCalculator]
+
+ // Number of input rows in the current trigger
+ private val numInputRows = new mutable.HashMap[Source, Long]
+ private var numOutputRows: Option[Long] = None
+ private var currentTriggerStartTimestamp: Long = -1
+ private var previousTriggerStartTimestamp: Long = -1
+ private var latency: Option[Double] = None
+
+ override val sourceName: String = codahaleSourceName
+ override val metricRegistry: MetricRegistry = new MetricRegistry
+
+ // =========== Initialization ===========
+
+ // Metric names should not have . in them, so that all the metrics of a
query are identified
+ // together in Ganglia as a single metric group
+ registerGauge("inputRate-total", currentInputRate)
+ registerGauge("processingRate-total", () => currentProcessingRate)
+ registerGauge("latency", () => currentLatency().getOrElse(-1.0))
+
+ sources.foreach { s =>
--- End diff --
yeah, I'm not sure how the Kafka source works exactly. I thought every
topic there was a source. I guess the only place where you'll have multiple
sources is if you're unioning multiple file sources or a file source with a
kafka stream. I'm not sure if we even support that though.
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