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https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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xihuan updated SPARK-54753:
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Summary: memory leak in Apache Spark 4.0.1 as we persist/unpersist the
dataset (was: memory leak in Apache Spark 4.0.1)
> memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
> ---------------------------------------------------------------------
>
> Key: SPARK-54753
> URL: https://issues.apache.org/jira/browse/SPARK-54753
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 4.0.1
> Reporter: xihuan
> Priority: Critical
> Attachments: image-2025-12-23-05-38-53-324.png, pom.xml,
> screenshot-1.png
>
>
> For Apache Spark *4.0.1* local mode, the memory is not released after long
> time running, while downgrade the spark version {*}v3.5.6{*}, there is no
> issue.
> The issue can be reproduced with simple test cases:
> ```
> package spark;
> import org.apache.spark.sql.Dataset;
> import org.apache.spark.sql.Row;
> import org.apache.spark.sql.SparkSession;
> import org.slf4j.Logger;
> import org.slf4j.LoggerFactory;
> import java.util.concurrent.Executors;
> import java.util.concurrent.ScheduledExecutorService;
> public class SparkApp {
> private static final Logger log = LoggerFactory.getLogger(SparkApp.class);
> private static final String SPARK_MASTER_URL = "local[4]";
> private static final String SPARK_MEMORY = "500m";
> public static void main(String[] args)
> { log.debug("Starting application..."); SparkSession sparkSession =
> SparkSession.builder() .appName("Test Application") .master(SPARK_MASTER_URL)
> .config("spark.driver.memory", SPARK_MEMORY)
> //.config("spark.sql.sources.bucketing.autoBucketedScan.enabled", false) //
> To get rid of the memory leak .getOrCreate(); processData(sparkSession); }
> private static void processData(SparkSession sparkSession) {
> while (true)
> { //load from a local csv file Dataset<Row> dataset =
> sparkSession.read().csv("c:/City.csv"); dataset.show(5); log.debug("Persist
> dataset..."); // This is the place where the memory leak occurs
> dataset.persist(); // Do something... log.debug("Do something with the
> persisted dataset"); // ...and unpersist the dataset log.debug("Unpersist
> dataset..."); dataset.unpersist(); log.debug("Processing data completed"); }
> }
> }
> ```
>
> with *Apache Spark 4.0.0 or 4.0.1* as JVM heap size to 1GB, around 9 minutes,
> it will encounter OOM.
> !screenshot-1.png|width=1070,height=504!
>
> While, {*}with Apache Spark 3.5.6, with max heap size of 500MB{*}, no such
> issue occurs.
> !image-2025-12-23-05-38-53-324.png|width=1075,height=415!
>
>
>
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