Running Anaconda with DGL and mxnet on CUDA GPU in Spark running in EMR

March 28, 2020November 8, 2019 ~ afish ~ Leave a comment

Today I’m going to share my configuration for running custom Anaconda Python with DGL (Deep Graph Library) and mxnet library, with GPU support via CUDA, running in Spark hosted in EMR. Actually, I have Redshift configuration as well, with support for gensim, tensorflow, keras, theano, pygpu, and cloudpickle. You can also install more libraries if … Continue reading Running Anaconda with DGL and mxnet on CUDA GPU in Spark running in EMR

Running any query in Redshift or JDBC from Spark in EMR

March 21, 2020March 19, 2020 ~ afish ~ Leave a comment

Last time we saw how to connect to Redshift from Spark running in EMR. Provided solution was nice but allowed for reading data only. Sometimes we might want to run any DDL or DML query, not only simple read statements. To do that, we need to connect to Redshift directly over JDBC. I assume you … Continue reading Running any query in Redshift or JDBC from Spark in EMR

Connecting to Redshift from Spark running in EMR

March 14, 2020November 8, 2019 ~ afish ~ Leave a comment

Today I’ll share my configuration for Spark running in EMR to connect to Redshift cluster. First, I assume the cluster is accessible (so configure virtual subnet, allowed IPs and all network stuff before running this). I’m using Zeppelin so I’ll show two interpreters configured for the connection, but the same thing should work with standalone … Continue reading Connecting to Redshift from Spark running in EMR

UpdateOrchestrator waking up the machine

March 7, 2020January 2, 2021 ~ afish ~ 1 Comment

Recently I was investigating machine waking up from sleep without any user interaction. It was a bit irritating because user was putting his PC to sleep and leaving it for a day just to notice in the evening that the machine woke up and was on for most of the time. Event viewer showed this: … Continue reading UpdateOrchestrator waking up the machine