Comments (1)
Version 1.2.0 released
We successfully implemented R kernel for Jupyter and added a notebook with Spark R (SparkR) API examples. The release increased the size of the Jupyter Lab image from 1.7 GB to 2.05 GB and have reached almost 2500 downloads on Docker Hub in less than two months. Surprisingly, the Apache Spark master image has reached more downloads than JupyterLab image for the first time since the project started.
Next release will deal with infra stuff, like improving GitHub to Docker Hub CI/CD script and general documentation. I would like very much to add an example folder with tons of Scala, PySpark and SparkR code.
Features
- R programming language;
- R Jupyter kernel;
- Spark R API (SparkR);
- SparkR Jupyter notebook.
from spark-standalone-cluster-on-docker.
Related Issues (20)
- Hive and Hue HOT 1
- [FEATURE] Build images on Mac OSX (with solution) HOT 3
- [BUG] Application Web UI unavailable HOT 8
- [FEATURE] Docker-Compose script with resources HOT 2
- [FEATURE] Core Development for 1.2.1
- [FEATURE] Core Development for 1.2.2
- import wget fails in jupyter notebook (not installed) HOT 1
- [BUG] Pulling bespoke scala deb from unvetted location HOT 3
- [BUG] root docker-compose.yaml needs to be updated
- [FEATURE] Ability to split Spark Master and Workers Nodes and run on different cluster nodes
- [BUG] Unable to start service with Docker Compose
- unable to connect to kafka from jupyter lab container but able to connect from spark-master container shell HOT 2
- [BUG] Python 3.9 in image "andreper/jupyterlab:3.0.0-spark-2.4.4" HOT 1
- [BUG] Download Spark URL
- [BUG] Cannot submit tasks to master HOT 4
- [BUG]
- [FEATURE] OpenJDK Docker Image is getting deprecated
- [FEATURE] Suppress verbosity from build.sh
- [BUG]
- [FEATURE]
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from spark-standalone-cluster-on-docker.