seq-datasource-v2
spark-daria
seq-datasource-v2 | spark-daria | |
---|---|---|
1 | 4 | |
10 | 742 | |
- | - | |
0.0 | 0.0 | |
about 3 years ago | about 2 years ago | |
Scala | Scala | |
Apache License 2.0 | MIT License |
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seq-datasource-v2
spark-daria
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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.
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Is Spark - The Defenitive Guide outdated?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.
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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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Open source contributions for a Data Engineer?
I've built popular PySpark (quinn, chispa) and Scala Spark (spark-daria, spark-fast-tests) libraries.
What are some alternatives?
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
chispa - PySpark test helper methods with beautiful error messages
parquet4s - Read and write Parquet in Scala. Use Scala classes as schema. No need to start a cluster.
quinn - pyspark methods to enhance developer productivity 📣 👯 🎉
spline - Data Lineage Tracking And Visualization Solution
Task - A task runner / simpler Make alternative written in Go
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)
dagster - An orchestration platform for the development, production, and observation of data assets.
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs
gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org