chispa
testfixtures
chispa | testfixtures | |
---|---|---|
12 | 4 | |
508 | 1,047 | |
- | 1.0% | |
6.5 | 6.3 | |
14 days ago | 7 days ago | |
Python | Go | |
MIT License | MIT License |
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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.
chispa
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Testing spark applications
Unit and e2e tests using a combination of pytest and chispa (https://github.com/MrPowers/chispa). Custom library to create random test data that fits schema with optional hardcoded overrides for relevant fields to test business logic.
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Spark open source community is awesome
here's a little README fix a user pushed to chispa
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Invitation to collaborate on open source PySpark projects
chispa is a library of PySpark testing functions.
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installing pyspark on my m1 mac, getting an env error
The other approach I've used is Poetry, see the chispa project as an example. Poetry is especially nice for projects that you'd like to publish to PyPi because those commands are built-in.
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Spark: local dev environment
- All Spark transformations are tested with pytest + chispa (https://github.com/MrPowers/chispa)
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Pyspark now provides a native Pandas API
Pandas syntax is far inferior to regular PySpark in my opinion. Goes to show how much data analysts value a syntax that they're already familiar with. Pandas syntax makes it harder to reason about queries, abstract DataFrame transformations, etc. I've authored some popular PySpark libraries like quinn and chispa and am not excited to add Pandas syntax support, haha.
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Show dataengineering: beavis, a library for unit testing Pandas/Dask code
I am the author of spark-fast-tests and chispa, libraries for unit testing Scala Spark / PySpark code.
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Tips for building popular open source data engineering projects
Blogging has been the main way I've been able to attract users. Someone searches "testing PySpark", they see this blog, and then they're motivated to try chispa.
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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.
testfixtures
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How to mock database calls
I'm the author of https://github.com/go-testfixtures/testfixtures, a library written to make it easier to write tests with a real database and test data. You might want to use it together with docker-compose, for example.
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Integration tests with Go and testcontainers
To solve the problem we will use testfixtures. Create a folders fixtures ΠΈ fixtures/storage and put a file users.yaml inside:
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Mocking database or use a test database
A lot of good suggestions here, I would also take a look at go-testfixtures which allows you to create some simple yaml-based fixture data to use with unit testing. It's quick and easy, but yes can get unwieldy the more you add.
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Ask HN: What are some tools / libraries you built yourself?
I built an alternative to Make written in Go that is simpler to use and cross-platform: https://taskfile.dev/
Also, a library to write tests with databases for Go: https://github.com/go-testfixtures/testfixtures
What are some alternatives?
spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)
go-vcr - Record and replay your HTTP interactions for fast, deterministic and accurate tests
spark-daria - Essential Spark extensions and helper methods β¨π²
Hamcrest - Hamcrest matchers for the Go programming language
quinn - pyspark methods to enhance developer productivity π£ π― π
ginkgo - A Modern Testing Framework for Go
lowdefy - The config web stack for business apps - build internal tools, client portals, web apps, admin panels, dashboards, web sites, and CRUD apps with YAML or JSON.
GoSpec - Testing framework for Go. Allows writing self-documenting tests/specifications, and executes them concurrently and safely isolated. [UNMAINTAINED]
null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.
assert - :exclamation:Basic Assertion Library used along side native go testing, with building blocks for custom assertions
dagster - An orchestration platform for the development, production, and observation of data assets.
dbcleaner - Clean database for testing, inspired by database_cleaner for Ruby