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merged 3 commits into from
Jun 18, 2025
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Update Roadmap documentation #16399

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f774107
Update Roadmap documentation
alamb Jun 13, 2025
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Merge remote-tracking branch 'apache/main' into alamb/roadmap
alamb Jun 17, 2025
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Incorporate feedback
alamb Jun 17, 2025
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1 change: 0 additions & 1 deletion benchmarks/README.md
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Expand Up @@ -518,7 +518,6 @@ In addition, topk_tpch is available from the bench.sh script:
./bench.sh run topk_tpch
```


## IMDB

Run Join Order Benchmark (JOB) on IMDB dataset.
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84 changes: 8 additions & 76 deletions docs/source/contributor-guide/roadmap.md
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Expand Up @@ -46,81 +46,13 @@ make review efficient and avoid surprises.

# Quarterly Roadmap

A quarterly roadmap will be published to give the DataFusion community
visibility into the priorities of the projects contributors. This roadmap is not
binding and we would welcome any/all contributions to help keep this list up to
date.
The DataFusion roadmap is driven by the priorities of contributors rather than
any single organization or coordinating committee. We typically discuss our
roadmap using GitHub issues, approximately quarterly, and invite you to join the
discussion.

## 2023 Q4
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these items are quite old and I don't think they are serving much purpose anymore. Links to the more recent discussions I think are far more useful

For more information:

- Improve data output (`COPY`, `INSERT` and DataFrame) output capability [#6569](https://github.com/apache/datafusion/issues/6569)
- Implementation of `ARRAY` types and related functions [#6980](https://github.com/apache/datafusion/issues/6980)
- Write an industrial paper about DataFusion for SIGMOD [#6782](https://github.com/apache/datafusion/issues/6782)

## 2022 Q2

### DataFusion Core

- IO Improvements
- Reading, registering, and writing more file formats from both DataFrame API and SQL
- Additional options for IO including partitioning and metadata support
- Work Scheduling
- Improve predictability, observability and performance of IO and CPU-bound work
- Develop a more explicit story for managing parallelism during plan execution
- Memory Management
- Add more operators for memory limited execution
- Performance
- Incorporate row-format into operators such as aggregate
- Add row-format benchmarks
- Explore JIT-compiling complex expressions
- Explore LLVM for JIT, with inline Rust functions as the primary goal
- Improve performance of Sort and Merge using Row Format / JIT expressions
- Documentation
- General improvements to DataFusion website
- Publish design documents
- Streaming
- Create `StreamProvider` trait

### Ballista

- Make production ready
- Shuffle file cleanup
- Fill functional gaps between DataFusion and Ballista
- Improve task scheduling and data exchange efficiency
- Better error handling
- Task failure
- Executor lost
- Schedule restart
- Improve monitoring and logging
- Auto scaling support
- Support for multi-scheduler deployments. Initially for resiliency and fault tolerance but ultimately to support sharding for scalability and more efficient caching.
- Executor deployment grouping based on resource allocation

### Extensions ([datafusion-contrib](https://github.com/datafusion-contrib))

### [DataFusion-Python](https://github.com/datafusion-contrib/datafusion-python)

- Add missing functionality to DataFrame and SessionContext
- Improve documentation

### [DataFusion-S3](https://github.com/datafusion-contrib/datafusion-objectstore-s3)

- Create Python bindings to use with datafusion-python

### [DataFusion-Tui](https://github.com/datafusion-contrib/datafusion-tui)

- Create multiple SQL editors
- Expose more Context and query metadata
- Support new data sources
- BigTable, HDFS, HTTP APIs

### [DataFusion-BigTable](https://github.com/datafusion-contrib/datafusion-bigtable)

- Python binding to use with datafusion-python
- Timestamp range predicate pushdown
- Multi-threaded partition aware execution
- Production ready Rust SDK

### [DataFusion-Streams](https://github.com/datafusion-contrib/datafusion-streams)

- Create experimental implementation of `StreamProvider` trait
1. [Search for issues labeled `roadmap`](https://github.com/apache/datafusion/issues?q=is%3Aissue%20%20%20roadmap)
2. [DataFusion Road Map: Q3-Q4 2025](https://github.com/apache/datafusion/issues/15878)
3. [2024 Q4 / 2025 Q1 Roadmap](https://github.com/apache/datafusion/issues/13274)