frameless
bebe
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frameless | bebe | |
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9 | 3 | |
868 | 50 | |
-0.2% | - | |
8.2 | 3.2 | |
6 days ago | about 3 years ago | |
Scala | Scala | |
Apache License 2.0 | - |
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frameless
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for comprehension and some questions
I don't see how Spark is any "less controversial" when the Spark Delay instance for cats-effect takes an entire SparkSession implicitly.
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Why use Spark at all?
To add to this I lately have used Spark with frameless for compile time safety and it's an interesting library that works well with Spark.
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Guide for Apache Spark Setup, Job Optimisation, AWS EMR Cluster Configuration, S3, YARN and HDFS Optimisation
For type safety with dataframes, techniques like https://github.com/typelevel/frameless can be used.
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Spark scala v/s pyspark
The preferred way to write Spark programs is to use DataFrame API which is untyped and is essentially the same in Scala, C# and Python. It's a DSL that's used to describe AST of the computation and the end result is the same regardless of language. There's a library called Frameless (https://github.com/typelevel/frameless) that implements typed DataFrame API but it is not in wide use, it looked dead for quite some time (though now development seems to continue) and didn't play nice with IntelliJ IDEA last time I checked. Performance-wise there's no difference most of the time (since all the program does is create an AST) except when using UDFs - Python UDFs are significantly slower and you can't write "proper" UDFs in Python - ones that generate Java code.
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Does anyone here (intentionally) use Scala without an effects library such as Cats or ZIO? Or without going "full Haskell"?
Frameless is a nice way to grab some type safety back from Spark, and features opt-in Cats integration.
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Making the Spark DataFrame composition type safe(r)
Valid point! Have you seen the withColumnTupled API? It returns a typed tuple instead. This seems to satisfy your use case - the dataset preserves its type and doesn't require a new case class. This is kind of what you're suggesting but without case class generation. Though not sure whether attribute labels (names) are preserved in this case. It's also unclear whether this is good enough for wide tables.
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Recommendations for specializing in Spark (Scala)
I recommend using Frameless, which includes a Cats module. In general, I would encourage you to master “purely” functional programming first, because it’s foundational. Spark is a very specific technology, and probably not even the best in that class today—I would be very careful about trying to build a career around it.
bebe
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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
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Finished porting all the Spark SQL functions that aren't exposed via the Scala API to the bebe project
The bebe project fills all these gaps in the Scala API. See the project README for examples on how each function works.
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Making the Spark DataFrame composition type safe(r)
See here for a more detailed discussion and let me know your thoughts!!
What are some alternatives?
Lantern
kondo - Cleans dependencies and build artifacts from your projects.
spark-excel - A Spark plugin for reading and writing Excel files
sqldb-logger - A logger for Go SQL database driver without modifying existing *sql.DB stdlib usage.
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org
azure-kusto-spark - Apache Spark Connector for Azure Kusto
yadm - Yet Another Dotfiles Manager
typeclassopedia - My tinkering to understand the typeclassopedia.
Shynet - Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
cats-effect - The pure asynchronous runtime for Scala
Tabula - Extract tables from PDF files