spark-extension
recidiffist
spark-extension | recidiffist | |
---|---|---|
1 | 1 | |
173 | 15 | |
5.2% | - | |
8.3 | 10.0 | |
7 days ago | over 5 years ago | |
Scala | Clojure | |
Apache License 2.0 | Eclipse Public License 1.0 |
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-extension
-
Data diffs: Algorithms for explaining what changed in a dataset (2022)
We're doing a env migration and I've been using spark diff extension for reconcile data, it's amazing, we've discover bugs in the data logic so quickly,
here is the extension if anyone is interested https://github.com/G-Research/spark-extension/blob/master/DI...
recidiffist
-
Data diffs: Algorithms for explaining what changed in a dataset (2022)
At Latacora, we use a giant pile of Clojure (almost everything, with specific measured exceptions, is). As a side effect, we have a lot of data. Not necessarily a lot in the sense of "big S3 bill", but definitely a lot in the sense of "you might not expect this being in a machine-readable format".
Things like: what Lambdas existed in a customer AWS account 6 months ago in us-east-2 that had access to a specific SQS queue (because we learned later that one of the consumers of that queue would actually consume Python pickles if you asked nicely, and hence get you RCE).
As a side effect, we do a lot of data diffing: just mostly on more vanilla Clojure structures rather than data sets in the Datasette/CSV/... sense.
For example: https://github.com/latacora/recidiffist (which we also have wired up to Terraform + S3, so if you write some files to S3, you can get the structured diffs right next to it for free). It's one of those things that's incredibly simple and works ridiculously well. Well, if you do it consistently anyway.
Also https://github.com/lambdaisland/deep-diff2 for when we're more interested in presenting it to humans.
What are some alternatives?
deep-diff2 - Deep diff Clojure data structures and pretty print the result
handy_sql_queries
lakeFS - lakeFS - Data version control for your data lake | Git for data
pyspark-starter - Starter pyspark code with a working combination of all versions
ExplainDaV
macrobase-diff - Minimal implementation of Macrobase Diff
Azure-Databricks-NYC-Taxi-Workshop - An Azure Databricks workshop leveraging the New York Taxi and Limousine Commission Trip Records dataset
Apache Calcite - Apache Calcite