Not able to access anything

Lab Support
#1

Hi Team,

Looking for lab support , facing below issue while hitting any command on web console

Java HotSpot™ 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000c0000000, 171966464, 0) failed; error=‘Cannot allocate memory’ (errno=12)

There is insufficient memory for the Java Runtime Environment to continue.

Native memory allocation (mmap) failed to map 171966464 bytes for committing reserved memory.

An error report file with more information is saved as:

/home/maheshnema20909649/hs_err_pid7005.log

[maheshnema20909649@ip-172-31-38-183 ~]$ hadoop fs -ls
Java HotSpot™ 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000c0000000, 171966464, 0) failed; error=‘Cannot allocate memory’ (errno=12)

There is insufficient memory for the Java Runtime Environment to continue.

Native memory allocation (mmap) failed to map 171966464 bytes for committing reserved memory.

An error report file with more information is saved as:

/home/maheshnema20909649/hs_err_pid7277.log

#2

Hi @Mahesh

At times when the load is high, you may get insufficient memory error temporarily.

Hope you are able to run your commands now.

Please feel free to let me know if you are still not able to launch commands.

#3

I am also facing the same issue… Can someone help me with the resolution?

Amol

#4

I am facing similar issue, unable to launch applications and also unable to run any sqoop imports.

Appreciate if you can help this resolve quickly. Thanks for your time.

#5

@Amol_D @ankit

Seems like load is fine now. Can you please try again.

Thanks

#6

it is working initially but over the period it slows down and I am not able to execute any programs… I have to restart kernel again and again.

Also how do we start jupyter to use spark 2.0. currently it is using 1.5.

#7

Hi @Amol_D,

This blog will help you with the same.

Thanks

#8

HI Abhinav,

I tried but I don’t want to use webconsole… I want to access it using Jupyter… Can you please list down the steps to launch Jupyter with Spark 2.0

Thanks
Amol

#9

This blog has steps to launch Spark 2.0 with Jupyter.