Comments (5)
Thanks a lot for report, I've been aware of this for a long time. The major cause is that Spark interpreter only expose its API to retrieve the last variable being set, regardless of whether its the last line of a code or not. It's possible to use deeper non-API functions to retrieve it but the gain doesn't justify the risk. Could you append it with ;"" to override it with an empty output?
from ispark.
Yes I did that, but I don't know this workaround solved this issue or not.
Because when I trained an svd and I wanted to serialize V matrix ISpark threw out of memory exception.
The same job in a spark shell run smoothly.
Maybe you know why.
Thanks for helping!
from ispark.
ISpark has much higher memory consumption than spark-shell for obvious reason (message queue, visualization etc.) Make sure you increase both --driver-memory and --executor-memory to accomodate your dataset.
I doubt if display too much is the cause of out of memory: in this case the websocket will timeout first before that happens.
from ispark.
Hm... Strange because I set driver-memory to 32G and the actual usage was about 23G then I started to save object file and the notebook died with oom.
from ispark.
IMHO save object file is done on workers/executors. SO that's expected
from ispark.
Related Issues (20)
- Unrecognized option error HOT 9
- Illegal character in path in ISpark jar file HOT 18
- IPython3 error:'interp' is not a recognized option HOT 8
- ClassNotFoundException with class, defined in notebook HOT 3
- Autocomplete is not working HOT 6
- Shift + Tab operation not works in IPython 3.x HOT 5
- Scala syntax highlights in the ipython 3.1.0-cbccb68 HOT 6
- Task not serializable error with HashingTF HOT 7
- Compare and contrast to spark-notebook and Zeppelin HOT 2
- No such method error
- Can't compile against 2.11 & 1.4.0 HOT 2
- Can not Completer in spark1.4.0
- port to jupyter-scala
- Kernel restart issue HOT 3
- Question about macro in JsonImpl
- Java Issue when run ipython HOT 5
- problem with private[spark] functions? HOT 7
- Updgrade to Spark 1.3.0 HOT 10
- Support running on yarn cluster HOT 6
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ispark.