spark-daria
Zip Foundation
spark-daria | Zip Foundation | |
---|---|---|
4 | 3 | |
742 | 2,232 | |
- | - | |
0.0 | 7.8 | |
about 2 years ago | 29 days ago | |
Scala | Swift | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
spark-daria
-
Lakehouse architecture in Azure Synapse without Databricks?
I was a Databricks user for 5 years and spent 95% of my time developing Spark code in IDEs. See the spark-daria and spark-fast-tests projects as Scala examples. I developed internal libraries with all the business logic. The Databricks notebooks would consist of a few lines of code that would invoke a function in the proprietary Spark codebase. The proprietary Spark codebase would depend on the OSS libraries I developed in parallel.
-
Is Spark - The Defenitive Guide outdated?
They spent a lot of effort improving the catalyst engine under the hood too and making it easier to extend and improve it in the future. Making it easy to add your own native code to Spark itself. Shameless plug of a blog post I wrote on this subject which basically reiterates what Matthew Powers, author of Spark Daria and quinn, wrote here.
-
Ask HN: What are some tools / libraries you built yourself?
I built daria (https://github.com/MrPowers/spark-daria) to make it easier to write Spark and spark-fast-tests (https://github.com/MrPowers/spark-fast-tests) to provide a good testing workflow.
quinn (https://github.com/MrPowers/quinn) and chispa (https://github.com/MrPowers/chispa) are the PySpark equivalents.
Built bebe (https://github.com/MrPowers/bebe) to expose the Spark Catalyst expressions that aren't exposed to the Scala / Python APIs.
Also build spark-sbt.g8 to create a Spark project with a single command: https://github.com/MrPowers/spark-sbt.g8
-
Open source contributions for a Data Engineer?
I've built popular PySpark (quinn, chispa) and Scala Spark (spark-daria, spark-fast-tests) libraries.
Zip Foundation
-
Why does my code show the error, "Invalid conversion from throwing function of type '() throws -> Void' to non-throwing function type '@convention(block) () -> Void'"
Are you using zipfoundation? And what line shows this error
-
Awesome macOS Libraries List
ZIPFoundation - Effortless ZIP Handling in Swift. Language: Swift.
-
Ask HN: What are some tools / libraries you built yourself?
Wrote an implementation of the ZIP specification in Swift: https://github.com/weichsel/ZIPFoundation
What are some alternatives?
chispa - PySpark test helper methods with beautiful error messages
Zip - Swift framework for zipping and unzipping files.
quinn - pyspark methods to enhance developer productivity 📣 👯 🎉
ZipArchive - ZipArchive is a simple utility class for zipping and unzipping files on iOS, macOS and tvOS.
Task - A task runner / simpler Make alternative written in Go
AMSMB2 - Swift framework to connect SMB2/3 shares
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
ZipZap - zip file I/O library for iOS, macOS and tvOS
spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)
DTCollectionViewManager - Protocol-oriented UICollectionView management, powered by generics and associated types.
dagster - An orchestration platform for the development, production, and observation of data assets.
DTTableViewManager - Protocol-oriented UITableView management, powered by generics and associated types.