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https://github.com/spotify/ratatool
A tool for data sampling, data generation, and data diffing
https://github.com/spotify/ratatool
avro bigquery parquet protobuf scala scalacheck
Last synced: 3 months ago
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A tool for data sampling, data generation, and data diffing
- Host: GitHub
- URL: https://github.com/spotify/ratatool
- Owner: spotify
- License: apache-2.0
- Created: 2016-08-01T17:33:25.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2024-03-20T21:46:54.000Z (3 months ago)
- Last Synced: 2024-03-21T09:55:55.397Z (3 months ago)
- Topics: avro, bigquery, parquet, protobuf, scala, scalacheck
- Language: Scala
- Homepage:
- Size: 1.24 MB
- Stars: 336
- Watchers: 30
- Forks: 55
- Open Issues: 24
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-stars - spotify/ratatool - A tool for data sampling, data generation, and data diffing (Scala)
README
Ratatool
========
[](https://circleci.com/gh/spotify/ratatool/tree/master)
[](https://codecov.io/github/spotify/ratatool?branch=master)
[](./LICENSE)
[](https://maven-badges.herokuapp.com/maven-central/com.spotify/ratatool-common_2.12)
[](https://scala-steward.org)
A tool for random data sampling and generation
# Features
- [ScalaCheck Generators](https://github.com/spotify/ratatool/tree/master/ratatool-scalacheck) - [ScalaCheck](http://scalacheck.org/) generators (`Gen[T]`) for property-based testing for scala case classes, [Avro](https://avro.apache.org/), [Protocol Buffers](https://developers.google.com/protocol-buffers/), [BigQuery](https://cloud.google.com/bigquery/) [TableRow](https://developers.google.com/resources/api-libraries/documentation/bigquery/v2/java/latest/com/google/api/services/bigquery/model/TableRow.html)
- [IO](https://github.com/spotify/ratatool/tree/master/ratatool-sampling/src/main/scala/com/spotify/ratatool/io) - utilities for reading and writing records in Avro, [Parquet](http://parquet.apache.org/) (via Avro GenericRecord), BigQuery and TableRow JSON files. Local file system, HDFS and [Google Cloud Storage](https://cloud.google.com/storage/) are supported.
- [Samplers](https://github.com/spotify/ratatool/tree/master/ratatool-sampling) - random data samplers for Avro, BigQuery and Parquet. True random sampling is supported for Avro only while head mode (sampling from the start) is supported for all sources.
- [Diffy](https://github.com/spotify/ratatool/tree/master/ratatool-diffy) - field-level record diff tool for Avro, Protobuf and BigQuery TableRow.
- [BigDiffy](https://github.com/spotify/ratatool/blob/master/ratatool-diffy) - [Scio](https://github.com/spotify/scio) library for pairwise field-level statistical diff of data sets. See [slides](http://www.lyh.me/slides/bigdiffy.html) for more.
- [Command line tool](https://github.com/spotify/ratatool/tree/master/ratatool-cli/src/main/scala/com/spotify/ratatool/tool) - command line tool for local sampler, or executing BigDiffy and BigSampler.
- [Shapeless](https://github.com/spotify/ratatool/tree/master/ratatool-shapeless) - An extension for Case Class Diffing via Shapeless.
For more information or documentation, project level READMEs are provided.
# Usage
If you use [sbt](http://www.scala-sbt.org/) add the following dependency to your build file:
```scala
libraryDependencies += "com.spotify" %% "ratatool-scalacheck" % "0.3.10" % "test"
```
If needed, the following other libraries are published:
* `ratatool-diffy`
* `ratatool-sampling`
Or install via our [Homebrew tap](https://github.com/spotify/homebrew-public) if you're on a Mac:
```
brew tap spotify/public
brew install ratatool
ratatool
```
Or download the [release](https://github.com/spotify/ratatool/releases) jar and run it.
```bash
wget https://github.com/spotify/ratatool/releases/download/v0.3.10/ratatool-cli-0.3.10.tar.gz
bin/ratatool directSampler
```
The command line tool can be used to sample from local file system or Google Cloud Storage directly if [Google Cloud SDK](https://cloud.google.com/sdk/) is installed and authenticated.
```bash
bin/ratatool bigSampler avro --head -n 1000 --in gs://path/to/dataset --out out.avro
bin/ratatool bigSampler parquet --head -n 1000 --in gs://path/to/dataset --out out.parquet
# write output to both JSON file and BigQuery table
bin/ratatool bigSampler bigquery --head -n 1000 --in project_id:dataset_id.table_id \
--out out.json--tableOut project_id:dataset_id.table_id
```
It can also be used to sample from HDFS with if `core-site.xml` and `hdfs-site.xml` are available.
```bash
bin/ratatool bigSampler avro \
--head -n 10 --in hdfs://namenode/path/to/dataset --out file:///path/to/out.avro
```
Or execute BigDiffy directly
```bash
bin/ratatool bigDiffy \
--input-mode=avro \
--key=record.key \
--lhs=gs://path/to/left \
--rhs=gs://path/to/right \
--output=gs://path/to/output \
--runner=DataflowRunner ....
```
# Development
## Testing local changes to the CLI before releasing
To test local changes before release:
```
$ sbt
> project ratatoolCli
> packArchive
```
and then find the built CLI at `ratatool-cli/target/ratatool-cli-{version}.tar.gz`
# License
Copyright 2016-2018 Spotify AB.
Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0