[jira] [Updated] (SPARK-18274) Memory leak in PySpark StringIndexer
[
https://issues.apache.org/jira/browse/SPARK-18274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nick Pentreath updated SPARK-18274:
---
Fix Version/s: (was: 2.1.1)
2.1.0
> Memory leak in PySpark StringIndexer
>
>
> Key: SPARK-18274
> URL: https://issues.apache.org/jira/browse/SPARK-18274
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
>Affects Versions: 1.5.2, 1.6.3, 2.0.1, 2.0.2, 2.1.0
>Reporter: Jonas Amrich
>Assignee: Sandeep Singh
>Priority: Critical
> Fix For: 2.0.3, 2.1.0, 2.2.0
>
>
> StringIndexerModel won't get collected by GC in Java even when deleted in
> Python. It can be reproduced by this code, which fails after couple of
> iterations (around 7 if you set driver memory to 600MB):
> {code}
> import random, string
> from pyspark.ml.feature import StringIndexer
> l = [(''.join(random.choice(string.ascii_uppercase) for _ in range(10)), )
> for _ in range(int(7e5))] # 70 random strings of 10 characters
> df = spark.createDataFrame(l, ['string'])
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> {code}
> Explicit call to Python GC fixes the issue - following code runs fine:
> {code}
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> gc.collect()
> {code}
> The issue is similar to SPARK-6194 and can be probably fixed by calling jvm
> detach in model's destructor. This is implemented in
> pyspark.mlib.common.JavaModelWrapper but missing in
> pyspark.ml.wrapper.JavaWrapper. Other models in ml package may also be
> affected by this memory leak.
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[jira] [Updated] (SPARK-18274) Memory leak in PySpark StringIndexer
[
https://issues.apache.org/jira/browse/SPARK-18274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley updated SPARK-18274:
--
Target Version/s: 2.0.3, 2.1.0 (was: 2.0.3, 2.1.1, 2.2.0)
> Memory leak in PySpark StringIndexer
>
>
> Key: SPARK-18274
> URL: https://issues.apache.org/jira/browse/SPARK-18274
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
>Affects Versions: 1.5.2, 1.6.3, 2.0.1, 2.0.2, 2.1.0
>Reporter: Jonas Amrich
>Assignee: Sandeep Singh
>Priority: Critical
> Fix For: 2.0.3, 2.1.1, 2.2.0
>
>
> StringIndexerModel won't get collected by GC in Java even when deleted in
> Python. It can be reproduced by this code, which fails after couple of
> iterations (around 7 if you set driver memory to 600MB):
> {code}
> import random, string
> from pyspark.ml.feature import StringIndexer
> l = [(''.join(random.choice(string.ascii_uppercase) for _ in range(10)), )
> for _ in range(int(7e5))] # 70 random strings of 10 characters
> df = spark.createDataFrame(l, ['string'])
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> {code}
> Explicit call to Python GC fixes the issue - following code runs fine:
> {code}
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> gc.collect()
> {code}
> The issue is similar to SPARK-6194 and can be probably fixed by calling jvm
> detach in model's destructor. This is implemented in
> pyspark.mlib.common.JavaModelWrapper but missing in
> pyspark.ml.wrapper.JavaWrapper. Other models in ml package may also be
> affected by this memory leak.
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[jira] [Updated] (SPARK-18274) Memory leak in PySpark StringIndexer
[
https://issues.apache.org/jira/browse/SPARK-18274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley updated SPARK-18274:
--
Shepherd: Joseph K. Bradley
> Memory leak in PySpark StringIndexer
>
>
> Key: SPARK-18274
> URL: https://issues.apache.org/jira/browse/SPARK-18274
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
>Affects Versions: 1.5.2, 1.6.3, 2.0.1, 2.0.2, 2.1.0
>Reporter: Jonas Amrich
>Assignee: Sandeep Singh
>Priority: Critical
>
> StringIndexerModel won't get collected by GC in Java even when deleted in
> Python. It can be reproduced by this code, which fails after couple of
> iterations (around 7 if you set driver memory to 600MB):
> {code}
> import random, string
> from pyspark.ml.feature import StringIndexer
> l = [(''.join(random.choice(string.ascii_uppercase) for _ in range(10)), )
> for _ in range(int(7e5))] # 70 random strings of 10 characters
> df = spark.createDataFrame(l, ['string'])
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> {code}
> Explicit call to Python GC fixes the issue - following code runs fine:
> {code}
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> gc.collect()
> {code}
> The issue is similar to SPARK-6194 and can be probably fixed by calling jvm
> detach in model's destructor. This is implemented in
> pyspark.mlib.common.JavaModelWrapper but missing in
> pyspark.ml.wrapper.JavaWrapper. Other models in ml package may also be
> affected by this memory leak.
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[jira] [Updated] (SPARK-18274) Memory leak in PySpark StringIndexer
[
https://issues.apache.org/jira/browse/SPARK-18274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley updated SPARK-18274:
--
Assignee: Sandeep Singh
> Memory leak in PySpark StringIndexer
>
>
> Key: SPARK-18274
> URL: https://issues.apache.org/jira/browse/SPARK-18274
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
>Affects Versions: 1.5.2, 1.6.3, 2.0.1, 2.0.2, 2.1.0
>Reporter: Jonas Amrich
>Assignee: Sandeep Singh
>Priority: Critical
>
> StringIndexerModel won't get collected by GC in Java even when deleted in
> Python. It can be reproduced by this code, which fails after couple of
> iterations (around 7 if you set driver memory to 600MB):
> {code}
> import random, string
> from pyspark.ml.feature import StringIndexer
> l = [(''.join(random.choice(string.ascii_uppercase) for _ in range(10)), )
> for _ in range(int(7e5))] # 70 random strings of 10 characters
> df = spark.createDataFrame(l, ['string'])
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> {code}
> Explicit call to Python GC fixes the issue - following code runs fine:
> {code}
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> gc.collect()
> {code}
> The issue is similar to SPARK-6194 and can be probably fixed by calling jvm
> detach in model's destructor. This is implemented in
> pyspark.mlib.common.JavaModelWrapper but missing in
> pyspark.ml.wrapper.JavaWrapper. Other models in ml package may also be
> affected by this memory leak.
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[jira] [Updated] (SPARK-18274) Memory leak in PySpark StringIndexer
[
https://issues.apache.org/jira/browse/SPARK-18274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley updated SPARK-18274:
--
Target Version/s: 2.0.3, 2.1.1, 2.2.0 (was: 2.0.3, 2.1.0)
> Memory leak in PySpark StringIndexer
>
>
> Key: SPARK-18274
> URL: https://issues.apache.org/jira/browse/SPARK-18274
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
>Affects Versions: 1.5.2, 1.6.3, 2.0.1, 2.0.2, 2.1.0
>Reporter: Jonas Amrich
>Priority: Critical
>
> StringIndexerModel won't get collected by GC in Java even when deleted in
> Python. It can be reproduced by this code, which fails after couple of
> iterations (around 7 if you set driver memory to 600MB):
> {code}
> import random, string
> from pyspark.ml.feature import StringIndexer
> l = [(''.join(random.choice(string.ascii_uppercase) for _ in range(10)), )
> for _ in range(int(7e5))] # 70 random strings of 10 characters
> df = spark.createDataFrame(l, ['string'])
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> {code}
> Explicit call to Python GC fixes the issue - following code runs fine:
> {code}
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> gc.collect()
> {code}
> The issue is similar to SPARK-6194 and can be probably fixed by calling jvm
> detach in model's destructor. This is implemented in
> pyspark.mlib.common.JavaModelWrapper but missing in
> pyspark.ml.wrapper.JavaWrapper. Other models in ml package may also be
> affected by this memory leak.
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[jira] [Updated] (SPARK-18274) Memory leak in PySpark StringIndexer
[
https://issues.apache.org/jira/browse/SPARK-18274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley updated SPARK-18274:
--
Affects Version/s: 2.1.0
2.0.2
1.6.3
1.5.2
Target Version/s: 2.0.3, 2.1.0
Priority: Critical (was: Major)
Component/s: ML
> Memory leak in PySpark StringIndexer
>
>
> Key: SPARK-18274
> URL: https://issues.apache.org/jira/browse/SPARK-18274
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
>Affects Versions: 1.5.2, 1.6.3, 2.0.1, 2.0.2, 2.1.0
>Reporter: Jonas Amrich
>Priority: Critical
>
> StringIndexerModel won't get collected by GC in Java even when deleted in
> Python. It can be reproduced by this code, which fails after couple of
> iterations (around 7 if you set driver memory to 600MB):
> {code}
> import random, string
> from pyspark.ml.feature import StringIndexer
> l = [(''.join(random.choice(string.ascii_uppercase) for _ in range(10)), )
> for _ in range(int(7e5))] # 70 random strings of 10 characters
> df = spark.createDataFrame(l, ['string'])
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> {code}
> Explicit call to Python GC fixes the issue - following code runs fine:
> {code}
> for i in range(50):
> indexer = StringIndexer(inputCol='string', outputCol='index')
> indexer.fit(df)
> gc.collect()
> {code}
> The issue is similar to SPARK-6194 and can be probably fixed by calling jvm
> detach in model's destructor. This is implemented in
> pyspark.mlib.common.JavaModelWrapper but missing in
> pyspark.ml.wrapper.JavaWrapper. Other models in ml package may also be
> affected by this memory leak.
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