[jira] [Updated] (SPARK-54753) memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
[
https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-54753:
-
Fix Version/s: 4.1.1
4.0.2
> 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: 4.0.0, 4.0.1
>Reporter: xihuan
>Assignee: xihuan
>Priority: Critical
> Labels: pull-request-available
> Fix For: 4.0.2, 4.2.0, 4.1.1
>
> Attachments: image-2025-12-23-05-38-53-324.png,
> image-2025-12-24-03-18-24-468.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:
>
>
> {code:java}
> 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 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");
> }
> }
> }
> {code}
>
> 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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[jira] [Updated] (SPARK-54753) memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
[
https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
xihuan updated SPARK-54753:
---
Attachment: image-2025-12-24-03-18-24-468.png
> 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: 4.0.0, 4.0.1
>Reporter: xihuan
>Priority: Critical
> Labels: pull-request-available
> Attachments: image-2025-12-23-05-38-53-324.png,
> image-2025-12-24-03-18-24-468.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:
>
>
> {code:java}
> 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 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");
> }
> }
> }
> {code}
>
> 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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[jira] [Updated] (SPARK-54753) memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
[
https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-54753:
---
Labels: pull-request-available (was: )
> 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: 4.0.0, 4.0.1
>Reporter: xihuan
>Priority: Critical
> Labels: pull-request-available
> 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:
>
>
> {code:java}
> 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 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");
> }
> }
> }
> {code}
>
> 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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[jira] [Updated] (SPARK-54753) memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
[
https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
xihuan updated SPARK-54753:
---
Affects Version/s: 4.0.0
> 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: 4.0.0, 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:
>
>
> {code:java}
> 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 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");
> }
> }
> }
> {code}
>
> 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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[jira] [Updated] (SPARK-54753) memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
[
https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
xihuan updated SPARK-54753:
---
Description:
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:
{code:java}
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 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");
}
}
}
{code}
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!
was:
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:
```scala
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 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!
> 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
>
[jira] [Updated] (SPARK-54753) memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
[
https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
xihuan updated SPARK-54753:
---
Description:
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:
```scala
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 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!
was:
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:
```scala
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 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!
> 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{*}, th
[jira] [Updated] (SPARK-54753) memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
[
https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
xihuan updated SPARK-54753:
---
Description:
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:
```scala
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 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!
was:
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 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!
> 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:
> ```scala
> 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.co
[jira] [Updated] (SPARK-54753) memory leak in Apache Spark 4.0.1 as we persist/unpersist the dataset
[
https://issues.apache.org/jira/browse/SPARK-54753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
xihuan updated SPARK-54753:
---
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 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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