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Apache Spark support in pipelinedp4j for end-to-end Differential Privacy #278
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Thank you very much, Saket, for your contribution!
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I realized that we didn't run Google formatter. Could you apply it? I created two patches, apply them sequentially (Format_files.patch
first and then Format_files_2.patch
).
I used https://github.com/google/google-java-format for java and https://github.com/facebook/ktfmt for Kotlin. I will add them into GitHub Actions and also add maybe an easy way to install them and apply to the code right before committing the changes. |
Done |
Apache Spark support in pipelinedp4j for end-to-end Differential Privacy
Testing
%cd pipelinedp4j
%bazelisk build ...
%bazelisk test ...
%cd examples/pipelinedp4j
%bazelisk build ...
SparkExample:
bazel-bin/SparkExample --local-input-file-path="./netflix_data.csv" --local-output-file-path="./output/"