How to access the VM from the host machine

Context: To connect to Spark using the EMBED feature of ECL along with LIVY.

Since, I am running my Spark on a standalone system inside a Ubuntu 16.10 VM and I still wanted to used ECLIDE, I decided that I should be able to connect to VM from the host (windows) machine.
This video clearly describes how to set this up.

Comments

Post a Comment

Popular posts from this blog

How to set up a Spark multi-node cluster on AWS-EC2

Context Our, Timothy Humphrey and I, aim was to benchmark the performance of Apache Spark against HPCC.  Tim had already a set up HPCC on AWS and had all the worker nodes on the same placement group so that the network latency is low. The easiest way to start a Spark multi-node cluster in AWS is to use AWS EMR. There are various resources like this , which explain  how to Spark multi-node cluster.  But, EMR service does not support placement group. Since, it only supports a small number of EC2 instance types, as compared to the EMR service. Hence, we decided to set up Spark on EC2 rather than using AWS EMR. The rest of the article will document the process. Disclaimer Most of the content of this document is from here  with some changes for example, the tutorial talks about install Spark on Ubuntu system and for our setup we wanted to use Centos (for legacy reasons). Steps 1. Spin N nodes on EC2. For this article, we assume N=5. Please make sure that the port...
Read more

PySpark Error - EOFError

I send almost the whole afternoon trying to debug an EOFError while implementing KMeansStreaming which uses a streaming THOR file as input. ( code ). I found the reason why I was getting the error. There were two reasons: The first clue was “java.lang.IllegalArgumentException: requirement failed” – which means the training and the testing data are not of the same dimension. The second clue was actually the EOFError – which is actually an out of memory error. The workaround was to increase the memory allocated using the option –executor-memory. 
Read more

How to use REST based calls to submit spark jobs

How to use Livy: Livy (alpha) enables programmatic, fault-tolerant, multi-tenant submission of Spark jobs from web/mobile apps which uses a REST calls to communicate with the Spark cluster. Note, during the time of writing this blog, I have only tried Levy on a standalone PySpark setup, so I don't know the challenges involved in setting up Levy in the PySpark Cluster. Since we would be using local file make sure to add the folder containing the pyspark scripts to parameter 'livy.file.local-dir-whitelist' of livy.conf file. Failing to do so would result in the following error:                 requirement failed: Local path pi.py cannot be added to user sessions. The command used to submit a batch script is as follows:  curl -X POST --data '{"file": "file:/home/osboxes/spark-1.6.0/examples/src/main/python/pi.py"}' -H "Content-Type: application/json" localhost:8998/batches  | python -m json.too l This command runs the spark ...
Read more