cloud-fan commented on a change in pull request #31905: URL: https://github.com/apache/spark/pull/31905#discussion_r653798159
########## File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala ########## @@ -0,0 +1,139 @@ +/* + * 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 + +/** + * Not thread-safe. + * @param name + * @param sparkSession + */ +class Observation(name: String) { + + private val listener: ObservationListener = ObservationListener(this) + + private var sparkSession: Option[SparkSession] = None + + @volatile private var row: Option[Row] = None + + /** + * Attach this observation to the given Dataset. + * + * @param ds dataset + * @tparam T dataset type + * @return observed dataset + */ + 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: _*) + } + + /** + * Wait for the first action on the observed dataset to complete and returns true. + * This method times out after the given amount of time and returns false. + * + * @param time timeout + * @param unit timeout time unit + * @return true if action complete within timeout, false on timeout + */ + def waitCompleted(time: Long, unit: TimeUnit): Boolean = waitCompleted(Some(time), unit) + + /** + * Get the observation results. 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. + */ + def get: Row = { + assert(waitCompleted(None, TimeUnit.SECONDS), "waitCompleted without timeout returned false") + assert(row.isDefined, "waitCompleted without timeout returned while result is still None") Review comment: This is not needed, `waitCompleted` just returns `row.isDefined` ########## File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala ########## @@ -0,0 +1,139 @@ +/* + * 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 + +/** + * Not thread-safe. + * @param name + * @param sparkSession + */ +class Observation(name: String) { + + private val listener: ObservationListener = ObservationListener(this) + + private var sparkSession: Option[SparkSession] = None + + @volatile private var row: Option[Row] = None + + /** + * Attach this observation to the given Dataset. + * + * @param ds dataset + * @tparam T dataset type + * @return observed dataset + */ + 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: _*) + } + + /** + * Wait for the first action on the observed dataset to complete and returns true. + * This method times out after the given amount of time and returns false. + * + * @param time timeout + * @param unit timeout time unit + * @return true if action complete within timeout, false on timeout + */ + def waitCompleted(time: Long, unit: TimeUnit): Boolean = waitCompleted(Some(time), unit) + + /** + * Get the observation results. 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. + */ + def get: Row = { + assert(waitCompleted(None, TimeUnit.SECONDS), "waitCompleted without timeout returned false") + assert(row.isDefined, "waitCompleted without timeout returned while result is still None") + row.get + } + + private def waitCompleted(time: Option[Long], unit: TimeUnit): Boolean = { + synchronized { + if (row.isEmpty) { + if (time.isDefined) { + this.wait(unit.toMillis(time.get)) + } else { + this.wait() + } + } + row.isDefined + } + } + + private def register(sparkSession: SparkSession): Unit = { + // makes this class thread-safe: + // only the first thread entering this block can set sparkSession + // all other threads will see the exception, because it is only allowed to do this once + synchronized { + if (this.sparkSession.isDefined) { + throw new IllegalStateException("An Observation can be used with a Dataset only once") + } + this.sparkSession = Some(sparkSession) + } + + sparkSession.listenerManager.register(listener) + } + + private def unregister(): Unit = { + this.sparkSession.foreach(_.listenerManager.unregister(listener)) + } + + private[spark] def onFinish(funcName: String, qe: QueryExecution): Unit = { Review comment: If we don't use `funcName`, shall we remove it from parameter list? ########## File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala ########## @@ -0,0 +1,139 @@ +/* + * 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 + +/** + * Not thread-safe. + * @param name + * @param sparkSession + */ +class Observation(name: String) { + + private val listener: ObservationListener = ObservationListener(this) + + private var sparkSession: Option[SparkSession] = None + + @volatile private var row: Option[Row] = None + + /** + * Attach this observation to the given Dataset. + * + * @param ds dataset + * @tparam T dataset type + * @return observed dataset + */ + 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: _*) + } + + /** + * Wait for the first action on the observed dataset to complete and returns true. + * This method times out after the given amount of time and returns false. + * + * @param time timeout + * @param unit timeout time unit + * @return true if action complete within timeout, false on timeout + */ + def waitCompleted(time: Long, unit: TimeUnit): Boolean = waitCompleted(Some(time), unit) + + /** + * Get the observation results. 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. + */ + def get: Row = { + assert(waitCompleted(None, TimeUnit.SECONDS), "waitCompleted without timeout returned false") + assert(row.isDefined, "waitCompleted without timeout returned while result is still None") + row.get + } + + private def waitCompleted(time: Option[Long], unit: TimeUnit): Boolean = { + synchronized { + if (row.isEmpty) { + if (time.isDefined) { + this.wait(unit.toMillis(time.get)) + } else { + this.wait() + } + } + row.isDefined + } + } + + private def register(sparkSession: SparkSession): Unit = { + // makes this class thread-safe: + // only the first thread entering this block can set sparkSession + // all other threads will see the exception, because it is only allowed to do this once + synchronized { + if (this.sparkSession.isDefined) { + throw new IllegalStateException("An Observation can be used with a Dataset only once") + } + this.sparkSession = Some(sparkSession) + } + + sparkSession.listenerManager.register(listener) + } + + private def unregister(): Unit = { + this.sparkSession.foreach(_.listenerManager.unregister(listener)) + } + + private[spark] def onFinish(funcName: String, qe: QueryExecution): Unit = { + synchronized { + this.row = qe.observedMetrics.get(name) + if (this.row.isDefined) this.notifyAll() Review comment: shall we use assert? If the metric is not found, then we don't call `notifyAll` and the user may hang forever. ########## File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala ########## @@ -0,0 +1,139 @@ +/* + * 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 + +/** + * Not thread-safe. + * @param name + * @param sparkSession + */ +class Observation(name: String) { + + private val listener: ObservationListener = ObservationListener(this) + + private var sparkSession: Option[SparkSession] = None + + @volatile private var row: Option[Row] = None + + /** + * Attach this observation to the given Dataset. + * + * @param ds dataset + * @tparam T dataset type + * @return observed dataset + */ + def on[T](ds: Dataset[T])(expr: Column, exprs: Column*): Dataset[T] = { Review comment: If we want to make it a public API, can we do `(ds: Dataset[T], expr: Column, exprs: Column*)` so that it's Java-friendly? ########## File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala ########## @@ -0,0 +1,139 @@ +/* + * 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 + +/** + * Not thread-safe. + * @param name + * @param sparkSession + */ +class Observation(name: String) { + + private val listener: ObservationListener = ObservationListener(this) + + private var sparkSession: Option[SparkSession] = None + + @volatile private var row: Option[Row] = None + + /** + * Attach this observation to the given Dataset. + * + * @param ds dataset + * @tparam T dataset type + * @return observed dataset + */ + 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: _*) + } + + /** + * Wait for the first action on the observed dataset to complete and returns true. + * This method times out after the given amount of time and returns false. + * + * @param time timeout + * @param unit timeout time unit + * @return true if action complete within timeout, false on timeout + */ + def waitCompleted(time: Long, unit: TimeUnit): Boolean = waitCompleted(Some(time), unit) + + /** + * Get the observation results. 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. + */ + def get: Row = { + assert(waitCompleted(None, TimeUnit.SECONDS), "waitCompleted without timeout returned false") + row.get + } + + private def waitCompleted(time: Option[Long], unit: TimeUnit): Boolean = { + synchronized { + if (row.isEmpty) { + if (time.isDefined) { + this.wait(unit.toMillis(time.get)) + } else { + this.wait() + } + } + row.isDefined + } + } + + private def register(sparkSession: SparkSession): Unit = { + // makes this class thread-safe: + // only the first thread entering this block can set sparkSession + // all other threads will see the exception, because it is only allowed to do this once + synchronized { + if (this.sparkSession.isDefined) { + throw new IllegalStateException("An Observation can be used with a Dataset only once") + } + this.sparkSession = Some(sparkSession) + } + + sparkSession.listenerManager.register(listener) + } + + private def unregister(): Unit = { + this.sparkSession.foreach(_.listenerManager.unregister(listener)) + } + + private[spark] def onFinish(qe: QueryExecution): Unit = { + synchronized { + this.row = qe.observedMetrics.get(name) + assert(this.row.isDefined, "No metric provided by QueryExecutionListener") + this.notifyAll() + } + unregister() Review comment: shall we put it in the synchronized block? `sparkSession` is updated by another thread in `register` ########## File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala ########## @@ -0,0 +1,139 @@ +/* + * 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 + +/** + * Not thread-safe. + * @param name + * @param sparkSession + */ +class Observation(name: String) { + + private val listener: ObservationListener = ObservationListener(this) + + private var sparkSession: Option[SparkSession] = None + + @volatile private var row: Option[Row] = None + + /** + * Attach this observation to the given Dataset. + * + * @param ds dataset + * @tparam T dataset type + * @return observed dataset + */ + 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: _*) + } + + /** + * Wait for the first action on the observed dataset to complete and returns true. + * This method times out after the given amount of time and returns false. + * + * @param time timeout + * @param unit timeout time unit + * @return true if action complete within timeout, false on timeout + */ + def waitCompleted(time: Long, unit: TimeUnit): Boolean = waitCompleted(Some(time), unit) + + /** + * Get the observation results. 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. + */ + def get: Row = { + assert(waitCompleted(None, TimeUnit.SECONDS), "waitCompleted without timeout returned false") + row.get + } + + private def waitCompleted(time: Option[Long], unit: TimeUnit): Boolean = { + synchronized { + if (row.isEmpty) { + if (time.isDefined) { + this.wait(unit.toMillis(time.get)) + } else { + this.wait() + } + } + row.isDefined + } + } + + private def register(sparkSession: SparkSession): Unit = { + // makes this class thread-safe: + // only the first thread entering this block can set sparkSession + // all other threads will see the exception, because it is only allowed to do this once + synchronized { + if (this.sparkSession.isDefined) { + throw new IllegalStateException("An Observation can be used with a Dataset only once") + } + this.sparkSession = Some(sparkSession) + } + + sparkSession.listenerManager.register(listener) + } + + private def unregister(): Unit = { + this.sparkSession.foreach(_.listenerManager.unregister(listener)) + } + + private[spark] def onFinish(qe: QueryExecution): Unit = { + synchronized { + this.row = qe.observedMetrics.get(name) + assert(this.row.isDefined, "No metric provided by QueryExecutionListener") + this.notifyAll() + } + unregister() Review comment: shall we put it in the synchronized block? `sparkSession` is updated by another thread in `register`, and `unregister` accesses `sparkSession` ########## File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala ########## @@ -0,0 +1,139 @@ +/* + * 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 + +/** + * Not thread-safe. + * @param name + * @param sparkSession + */ +class Observation(name: String) { + + private val listener: ObservationListener = ObservationListener(this) + + private var sparkSession: Option[SparkSession] = None + + @volatile private var row: Option[Row] = None + + /** + * Attach this observation to the given Dataset. + * + * @param ds dataset + * @tparam T dataset type + * @return observed dataset + */ + 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: _*) + } + + /** + * Wait for the first action on the observed dataset to complete and returns true. + * This method times out after the given amount of time and returns false. + * + * @param time timeout + * @param unit timeout time unit + * @return true if action complete within timeout, false on timeout + */ + def waitCompleted(time: Long, unit: TimeUnit): Boolean = waitCompleted(Some(time), unit) + + /** + * Get the observation results. 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. + */ + def get: Row = { + assert(waitCompleted(None, TimeUnit.SECONDS), "waitCompleted without timeout returned false") + row.get + } + + private def waitCompleted(time: Option[Long], unit: TimeUnit): Boolean = { + synchronized { + if (row.isEmpty) { + if (time.isDefined) { + this.wait(unit.toMillis(time.get)) + } else { + this.wait() + } + } + row.isDefined + } + } + + private def register(sparkSession: SparkSession): Unit = { + // makes this class thread-safe: + // only the first thread entering this block can set sparkSession + // all other threads will see the exception, because it is only allowed to do this once + synchronized { + if (this.sparkSession.isDefined) { + throw new IllegalStateException("An Observation can be used with a Dataset only once") + } + this.sparkSession = Some(sparkSession) + } + + sparkSession.listenerManager.register(listener) + } + + private def unregister(): Unit = { + this.sparkSession.foreach(_.listenerManager.unregister(listener)) + } + + private[spark] def onFinish(qe: QueryExecution): Unit = { + synchronized { + this.row = qe.observedMetrics.get(name) + assert(this.row.isDefined, "No metric provided by QueryExecutionListener") + this.notifyAll() + } + unregister() Review comment: BTW `unregister` is just one line code, seems we don't need this method and can just write `this.sparkSession.foreach(_.listenerManager.unregister(listener))` here. ########## File path: sql/core/src/main/scala/org/apache/spark/sql/Observation.scala ########## @@ -0,0 +1,139 @@ +/* + * 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 + +/** + * Not thread-safe. + * @param name + * @param sparkSession + */ +class Observation(name: String) { + + private val listener: ObservationListener = ObservationListener(this) + + private var sparkSession: Option[SparkSession] = None + + @volatile private var row: Option[Row] = None + + /** + * Attach this observation to the given Dataset. + * + * @param ds dataset + * @tparam T dataset type + * @return observed dataset + */ + 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: _*) + } + + /** + * Wait for the first action on the observed dataset to complete and returns true. + * This method times out after the given amount of time and returns false. + * + * @param time timeout + * @param unit timeout time unit + * @return true if action complete within timeout, false on timeout + */ + def waitCompleted(time: Long, unit: TimeUnit): Boolean = waitCompleted(Some(time), unit) + + /** + * Get the observation results. 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. + */ + def get: Row = { + assert(waitCompleted(None, TimeUnit.SECONDS), "waitCompleted without timeout returned false") + row.get + } + + private def waitCompleted(time: Option[Long], unit: TimeUnit): Boolean = { + synchronized { + if (row.isEmpty) { + if (time.isDefined) { + this.wait(unit.toMillis(time.get)) + } else { + this.wait() + } + } + row.isDefined + } + } + + private def register(sparkSession: SparkSession): Unit = { + // makes this class thread-safe: + // only the first thread entering this block can set sparkSession + // all other threads will see the exception, because it is only allowed to do this once + synchronized { + if (this.sparkSession.isDefined) { + throw new IllegalStateException("An Observation can be used with a Dataset only once") + } + this.sparkSession = Some(sparkSession) + } + + sparkSession.listenerManager.register(listener) + } + + private def unregister(): Unit = { + this.sparkSession.foreach(_.listenerManager.unregister(listener)) + } + + private[spark] def onFinish(qe: QueryExecution): Unit = { + synchronized { + this.row = qe.observedMetrics.get(name) + assert(this.row.isDefined, "No metric provided by QueryExecutionListener") + this.notifyAll() + } + unregister() Review comment: BTW `unregister` is just one line code, seems we don't need `unregister` method and can just write `this.sparkSession.foreach(_.listenerManager.unregister(listener))` here. -- This is an automated message from the Apache Git Service. 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