sparkmagic
incubator-livy
sparkmagic | incubator-livy | |
---|---|---|
4 | 4 | |
1,286 | 856 | |
0.2% | 0.5% | |
7.6 | 5.2 | |
1 day ago | 10 days ago | |
Python | Scala | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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sparkmagic
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Doing ML works in AWS. Need help installing cartopy
Please file an issue at https://github.com/jupyter-incubator/sparkmagic
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Ask HN: Who's an open source maintainer/project that needs sponsorship or help?
I maintain several open source projects, most notably:
Sparkmagic (https://github.com/jupyter-incubator/sparkmagic)
Sparkmagic provides jupyter magics and kernels for working with remote Spark clusters. It's used by thousands of developers and companies like Pinterest, Amazon, more!
I've been maintaining for the past few years and would love help!
KSOPS (https://github.com/viaduct-ai/kustomize-sops)
KSOPS, or kustomize-SOPS, is a kustomize KRM exec plugin for SOPS encrypted resources. KSOPS can be used to decrypt any Kubernetes resource, but is most commonly used to decrypt encrypted Kubernetes Secrets and ConfigMaps. As a kustomize plugin, KSOPS allows you to manage, build, and apply encrypted manifests the same way you manage the rest of your Kubernetes manifests.
KSOPS is the most popular kustomize plugin and I'd love help maintaining and improving it from out GitOps fanatics.
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Spark is lit once again
Things get a bit more complicated on interactive sessions. We've created Sparkmagic compatible REST API so that Sparkmagic kernel could communicate with Lighter the same way as it does with Apache Livy. When a user creates an interactive session Lighter server submits a custom PySpark application which contains an infinite loop which constantly checks for new commands to be executed. Each Sparkmagic command is saved on Java collection, retrieved by the PySpark application through Py4J Gateway and executed.
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An SQL Solution for Jupyter
Jupyter would be even better if it supported the seamless combination of Python and SQL code cells.
My notebook code typically involves a data prep stage with querying a SQL database, then downloading into Python for more complex analysis, ML modelling, integration with external data sources, etc. So the notebook has a Python kernel with SQL usually as embedded """-quoted strings.
Does anyone have a solution to treating selected code cells as SQL - with SQL highlighting and tooltips - exposed as string variables to the Python code?
Sparkmagic [1] does part of this for Python/SQL/Spark interoperability, but as far as I recall, doesn't support SQL syntax highlighting.
[1] https://github.com/jupyter-incubator/sparkmagic
incubator-livy
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Sparkless is born
Apache Livy - REST API For submitting jobs to a cluster. Used in conjunction with Jupyter or Zeppelin notebooks and you have a multi-tenant SQL only workload — https://livy.apache.org
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State of connecting (Jupyter) notebooks to remote Spark 3+ clusters
There’s definitely some patching that still has to happen depending on the version (just found this Spark 3.2 PR), but I presume many folks that actively use it have to maintain their own forks. Latest version of EMR is Spark 3.1.2, but 3.2 is coming soon.
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Spark is lit once again
Apache Livy - an open-source REST API for interacting with Apache Spark from anywhere.
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Hadoop Clusters to K8S
Spark 3 has some solid support for Kubernetes. Livy is a good addition to Spark on K8S, although support is not merged upstream yet (there's publicly available images and other in the PR). I'd strongly recommend to avoid running HDFS on top of Kubernetes. Either cloud-native buckets or on-premise bucket storage like Minio would be much better suited.
What are some alternatives?
lighter - REST API for Apache Spark on K8S or YARN
Jupyter Scala - A Scala kernel for Jupyter
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
incubator-livy - Mirror of Apache livy (Incubating)
nbmake - 📝 Pytest plugin for testing notebooks
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
nbgrader - A system for assigning and grading notebooks
tispark - TiSpark is built for running Apache Spark on top of TiDB/TiKV
xeus-sql - Jupyter kernel for SQL databases