cloud-fan commented on a change in pull request #31905:
URL: https://github.com/apache/spark/pull/31905#discussion_r655406702



##########
File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala
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@@ -0,0 +1,170 @@
+/*
+ * 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
+
+import java.util.UUID
+import java.util.concurrent.TimeUnit
+
+import org.apache.spark.sql.execution.QueryExecution
+import org.apache.spark.sql.util.QueryExecutionListener
+
+/**
+ * Helper class to simplify usage of [[Dataset.observe(String, Column, 
Column*)]]:
+ *
+ * {{{
+ *   // Observe row count (rows) and highest id (maxid) in the Dataset while 
writing it
+ *   val observation = Observation("my_metrics")
+ *   val observed_ds = ds.observe(observation, count(lit(1)).as("rows"), 
max($"id").as("maxid"))
+ *   observed_ds.write.parquet("ds.parquet")
+ *   val metrics = observation.get
+ * }}}
+ *
+ * This collects the metrics while the first action is executed on the 
obseerved dataset. Subsequent
+ * actions do not modify the metrics returned by 
[[org.apache.spark.sql.Observation.get]]. Retrieval
+ * of the metric via [[org.apache.spark.sql.Observation.get]] blocks until the 
first action has
+ * finished and metrics become available. You can add a timeout to that 
blocking via
+ * [[org.apache.spark.sql.Observation.waitCompleted]]:
+ *
+ * {{{
+ *   if (observation.waitCompleted(100, TimeUnit.MILLISECONDS)) {
+ *     observation.get
+ *   }
+ * }}}
+ *
+ * This class does not support streaming datasets.
+ *
+ * @param name name of the metric
+ * @since 3.2.0
+ */
+class Observation(name: String) {
+
+  private val listener: ObservationListener = ObservationListener(this)
+
+  private var sparkSession: Option[SparkSession] = None
+
+  @volatile private var row: Option[Row] = None
+
+  /**
+   * Attaches this observation to the given [[Dataset]] to observe aggregation 
expressions.
+   *
+   * @param ds dataset
+   * @param expr first aggregation expression
+   * @param exprs more aggregation expressions
+   * @tparam T dataset type
+   * @return observed dataset
+   * @throws IllegalArgumentException If this is a streaming Dataset 
(ds.isStreaming == true)
+   */
+  def on[T](ds: Dataset[T], expr: Column, exprs: Column*): Dataset[T] = {
+    if (ds.isStreaming) {
+      throw new IllegalArgumentException("Observation does not support 
streaming Datasets")
+    }
+    register(ds.sparkSession)
+    ds.observe(name, expr, exprs: _*)
+  }
+
+  /**
+   * Waits for the first action on the observed dataset to complete and 
returns true.
+   * The result is then available through the get method.
+   * This method times out after the given amount of time returning false.
+   *
+   * @param time timeout
+   * @param unit timeout time unit
+   * @return true if action completed within timeout, false otherwise
+   * @throws InterruptedException interrupted while waiting
+   */
+  def waitCompleted(time: Long, unit: TimeUnit): Boolean = 
waitCompleted(Some(unit.toMillis(time)))
+
+  /**
+   * Get the observed metrics. This waits until the observed dataset finishes 
its first action.
+   * If you want to wait for the result and provide a timeout, use 
[[waitCompleted]]. Only the
+   * result of the first action is available. Subsequent actions do not modify 
the result.
+   *
+   * @return the observed metrics as a [[Row]]
+   * @throws InterruptedException interrupted while waiting
+   */
+  def get: Row = {
+    assert(waitCompleted(None), "waitCompleted without timeout returned false")
+    row.get
+  }
+
+  private def waitCompleted(millis: Option[Long]): Boolean = {

Review comment:
       Actually `Object.wait(0)` means wait forever.




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