AW: possible bug
I've changed the code to set driver memory to 100g, changed python code:
import pyspark
conf=pyspark.SparkConf().setMaster("local[64]").setAppName("Test1").set(key="spark.driver.memory",
value="100g")
sc=pyspark.SparkContext.getOrCreate(conf)
rows=7
data=list(range(rows))
rdd=sc.parallelize(data,rows)
assert rdd.getNumPartitions()==rows
rdd0=rdd.filter(lambda x:False)
assert rdd0.getNumPartitions()==rows
rdd00=rdd0.coalesce(1)
data=rdd00.collect()
assert data==[]
Still the same error happens:
21/04/09 04:48:38 WARN TaskSetManager: Stage 0 contains a task of very large
size (4732 KiB). The maximum recommended task size is 1000 KiB.
OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x7f464355,
16384, 0) failed; error='Not enough space' (errno=12)
[423.701s][warning][os,thread] Attempt to protect stack guard pages failed
(0x7f4640d28000-0x7f4640d2c000).
[423.701s][warning][os,thread] Attempt to deallocate stack guard pages failed.
[423.704s][warning][os,thread] Failed to start thread - pthread_create failed
(EAGAIN) for attributes: stacksize: 1024k, guardsize: 0k, detached.
#
# There is insufficient memory for the Java Runtime Environment to continue.
# Native memory allocation (mmap) failed to map 16384 bytes for committing
reserved memory.
A function which needs 423 seconds to crash with excessive memory consumption
when trying to coalesce 7 empty partitions is not very practical. As I do
not know the limits in which coalesce without shuffling can be used safely and
with performance, I will now always use coalesce with shuffling, even though in
theory this will come with quite a performance decrease.
Markus
Von: Russell Spitzer
Gesendet: Donnerstag, 8. April 2021 15:24
An: Weiand, Markus, NMA-CFD
Cc: user@spark.apache.org
Betreff: Re: possible bug
Could be that the driver JVM cannot handle the metadata required to store the
partition information of a 70k partition RDD. I see you say you have a 100GB
driver but i'm not sure where you configured that?
Did you set --driver-memory 100G ?
On Thu, Apr 8, 2021 at 8:08 AM Weiand, Markus, NMA-CFD
mailto:markus.wei...@bertelsmann.de>> wrote:
This is the reduction of an error in a complex program where allocated 100 GB
driver (=worker=executor as local mode) memory. In the example I used the
default size, as the puny example shouldn't need more anyway.
And without the coalesce or with coalesce(1,True) everything works fine.
I'm trying to coalesce an empty rdd with 7 partitions in an empty rdd with
1 partition, why is this a problem without shuffling?
Von: Sean Owen mailto:sro...@gmail.com>>
Gesendet: Donnerstag, 8. April 2021 15:00
An: Weiand, Markus, NMA-CFD
mailto:markus.wei...@bertelsmann.de>>
Cc: user@spark.apache.org<mailto:user@spark.apache.org>
Betreff: Re: possible bug
That's a very low level error from the JVM. Any chance you are misconfiguring
the executor size? like to 10MB instead of 10GB, that kind of thing. Trying to
think of why the JVM would have very little memory to operate.
An app running out of mem would not look like this.
On Thu, Apr 8, 2021 at 7:53 AM Weiand, Markus, NMA-CFD
mailto:markus.wei...@bertelsmann.de>> wrote:
Hi all,
I'm using spark on a c5a.16xlarge machine in amazon cloud (so having 64 cores
and 128 GB RAM). I'm using spark 3.01.
The following python code leads to an exception, is this a bug or is my
understanding of the API incorrect?
import pyspark
conf=pyspark.SparkConf().setMaster("local[64]").setAppName("Test1")
sc=pyspark.SparkContext.getOrCreate(conf)
rows=7
data=list(range(rows))
rdd=sc.parallelize(data,rows)
assert rdd.getNumPartitions()==rows
rdd0=rdd.filter(lambda x:False)
assert rdd0.getNumPartitions()==rows
rdd00=rdd0.coalesce(1)
data=rdd00.collect()
assert data==[]
output when starting from PyCharm:
/home/ubuntu/PycharmProjects//venv/bin/python
/opt/pycharm-2020.2.3/plugins/python/helpers/pydev/pydevconsole.py
--mode=client --port=41185
import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['/home/ubuntu/PycharmProjects/'])
PyDev console: starting.
Python 3.8.5 (default, Jan 27 2021, 15:41:15)
[GCC 9.3.0] on linux
import os
os.environ['PYTHONHASHSEED'] = '0'
runfile('/home/ubuntu/PycharmProjects//tests/test.py',
wdir='/home/ubuntu/PycharmProjects//tests')
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform
(file:/opt/spark/jars/spark-unsafe_2.12-3.0.1.jar) to constructor
java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of
org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal
reflective access operations
WARNING: All illegal access operations will be
AW: possible bug
This is the reduction of an error in a complex program where allocated 100 GB
driver (=worker=executor as local mode) memory. In the example I used the
default size, as the puny example shouldn't need more anyway.
And without the coalesce or with coalesce(1,True) everything works fine.
I'm trying to coalesce an empty rdd with 7 partitions in an empty rdd with
1 partition, why is this a problem without shuffling?
Von: Sean Owen
Gesendet: Donnerstag, 8. April 2021 15:00
An: Weiand, Markus, NMA-CFD
Cc: user@spark.apache.org
Betreff: Re: possible bug
That's a very low level error from the JVM. Any chance you are misconfiguring
the executor size? like to 10MB instead of 10GB, that kind of thing. Trying to
think of why the JVM would have very little memory to operate.
An app running out of mem would not look like this.
On Thu, Apr 8, 2021 at 7:53 AM Weiand, Markus, NMA-CFD
mailto:markus.wei...@bertelsmann.de>> wrote:
Hi all,
I'm using spark on a c5a.16xlarge machine in amazon cloud (so having 64 cores
and 128 GB RAM). I'm using spark 3.01.
The following python code leads to an exception, is this a bug or is my
understanding of the API incorrect?
import pyspark
conf=pyspark.SparkConf().setMaster("local[64]").setAppName("Test1")
sc=pyspark.SparkContext.getOrCreate(conf)
rows=7
data=list(range(rows))
rdd=sc.parallelize(data,rows)
assert rdd.getNumPartitions()==rows
rdd0=rdd.filter(lambda x:False)
assert rdd0.getNumPartitions()==rows
rdd00=rdd0.coalesce(1)
data=rdd00.collect()
assert data==[]
output when starting from PyCharm:
/home/ubuntu/PycharmProjects//venv/bin/python
/opt/pycharm-2020.2.3/plugins/python/helpers/pydev/pydevconsole.py
--mode=client --port=41185
import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['/home/ubuntu/PycharmProjects/'])
PyDev console: starting.
Python 3.8.5 (default, Jan 27 2021, 15:41:15)
[GCC 9.3.0] on linux
import os
os.environ['PYTHONHASHSEED'] = '0'
runfile('/home/ubuntu/PycharmProjects//tests/test.py',
wdir='/home/ubuntu/PycharmProjects//tests')
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform
(file:/opt/spark/jars/spark-unsafe_2.12-3.0.1.jar) to constructor
java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of
org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal
reflective access operations
WARNING: All illegal access operations will be denied in a future release
21/04/08 12:12:26 WARN NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
21/04/08 12:12:29 WARN TaskSetManager: Stage 0 contains a task of very large
size (4732 KiB). The maximum recommended task size is 1000 KiB.
[Stage 0:> (0 + 1) /
1][423.190s][warning][os,thread] Attempt to protect stack guard pages failed
(0x7f43d23ff000-0x7f43d2403000).
[423.190s][warning][os,thread] Attempt to deallocate stack guard pages failed.
OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x7f43d300b000,
16384, 0) failed; error='Not enough space' (errno=12)
[423.231s][warning][os,thread] Failed to start thread - pthread_create failed
(EAGAIN) for attributes: stacksize: 1024k, guardsize: 0k, detached.
#
# There is insufficient memory for the Java Runtime Environment to continue.
# Native memory allocation (mmap) failed to map 16384 bytes for committing
reserved memory.
# An error report file with more information is saved as:
# /home/ubuntu/PycharmProjects//tests/hs_err_pid17755.log
[thread 17966 also had an error]
OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x7f4b7bd81000,
262144, 0) failed; error='Not enough space' (errno=12)
ERROR:root:Exception while sending command.
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1207, in send_command
raise Py4JNetworkError("Answer from Java side is empty")
py4j.protocol.Py4JNetworkError: Answer from Java side is empty
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1033, in send_command
response = connection.send_command(command)
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1211, in send_command
raise Py4JNetworkError(
py4j.protocol.Py4JNetworkError: Error while receiving
ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java
server
(127.0.0.1:42439<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2F127.0.0.1%3A42439%2F=04%7C01%7C%7C67312308cd7647973de608d8fa8e420f%7
possible bug
Hi all,
I'm using spark on a c5a.16xlarge machine in amazon cloud (so having 64 cores
and 128 GB RAM). I'm using spark 3.01.
The following python code leads to an exception, is this a bug or is my
understanding of the API incorrect?
import pyspark
conf=pyspark.SparkConf().setMaster("local[64]").setAppName("Test1")
sc=pyspark.SparkContext.getOrCreate(conf)
rows=7
data=list(range(rows))
rdd=sc.parallelize(data,rows)
assert rdd.getNumPartitions()==rows
rdd0=rdd.filter(lambda x:False)
assert rdd0.getNumPartitions()==rows
rdd00=rdd0.coalesce(1)
data=rdd00.collect()
assert data==[]
output when starting from PyCharm:
/home/ubuntu/PycharmProjects//venv/bin/python
/opt/pycharm-2020.2.3/plugins/python/helpers/pydev/pydevconsole.py
--mode=client --port=41185
import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['/home/ubuntu/PycharmProjects/'])
PyDev console: starting.
Python 3.8.5 (default, Jan 27 2021, 15:41:15)
[GCC 9.3.0] on linux
import os
os.environ['PYTHONHASHSEED'] = '0'
runfile('/home/ubuntu/PycharmProjects//tests/test.py',
wdir='/home/ubuntu/PycharmProjects//tests')
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform
(file:/opt/spark/jars/spark-unsafe_2.12-3.0.1.jar) to constructor
java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of
org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal
reflective access operations
WARNING: All illegal access operations will be denied in a future release
21/04/08 12:12:26 WARN NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
21/04/08 12:12:29 WARN TaskSetManager: Stage 0 contains a task of very large
size (4732 KiB). The maximum recommended task size is 1000 KiB.
[Stage 0:> (0 + 1) /
1][423.190s][warning][os,thread] Attempt to protect stack guard pages failed
(0x7f43d23ff000-0x7f43d2403000).
[423.190s][warning][os,thread] Attempt to deallocate stack guard pages failed.
OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x7f43d300b000,
16384, 0) failed; error='Not enough space' (errno=12)
[423.231s][warning][os,thread] Failed to start thread - pthread_create failed
(EAGAIN) for attributes: stacksize: 1024k, guardsize: 0k, detached.
#
# There is insufficient memory for the Java Runtime Environment to continue.
# Native memory allocation (mmap) failed to map 16384 bytes for committing
reserved memory.
# An error report file with more information is saved as:
# /home/ubuntu/PycharmProjects//tests/hs_err_pid17755.log
[thread 17966 also had an error]
OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x7f4b7bd81000,
262144, 0) failed; error='Not enough space' (errno=12)
ERROR:root:Exception while sending command.
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1207, in send_command
raise Py4JNetworkError("Answer from Java side is empty")
py4j.protocol.Py4JNetworkError: Answer from Java side is empty
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1033, in send_command
response = connection.send_command(command)
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1211, in send_command
raise Py4JNetworkError(
py4j.protocol.Py4JNetworkError: Error while receiving
ERROR:py4j.java_gateway:An error occurred while trying to connect to the Java
server (127.0.0.1:42439)
Traceback (most recent call last):
File "/opt/spark/python/pyspark/rdd.py", line 889, in collect
sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1304, in __call__
return_value = get_return_value(
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 334,
in get_return_value
raise Py4JError(
py4j.protocol.Py4JError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.collectAndServe
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
977, in _get_connection
connection = self.deque.pop()
IndexError: pop from an empty deque
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1115, in start
self.socket.connect((self.address, self.port))
ConnectionRefusedError: [Errno 111] Connection refused
Traceback (most recent call last):
File
