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Below is a high-level road map view for GraphAr to provide a sense of direction of where the project is going. This can change at any point and does not reflect many features and improvements that will also be included as part of the journey along this road map.
Format
Define format with protobuf (discuss and vote on [1][2])
Support multi-labels for vertex and edge
Standardizing the format v1 specification
C++ Libary
Format compatibility to v1
Make full use of feature of columnar format parquet/ORC to improve
read/write performance
A simple out-of-core compute engine base on graphar
Java / Scala with Spark Library
Format compatibility to v1
Modularize the library: split to info/reader/writer...
Integrate with ldbc_snb_datagen_spark[3]
Python with PySpark
A new PySpark API that work with both Spark Classic and Spark Connect
🛣️ Roadmap
Below is a high-level road map view for GraphAr to provide a sense of direction of where the project is going. This can change at any point and does not reflect many features and improvements that will also be included as part of the journey along this road map.
Format
C++ Libary
read/write performance
Java / Scala with Spark Library
Python with PySpark
Others
[1] https://lists.apache.org/thread/o5bqbhxvcbm6xqj1j1m2h7bhdnsvgsoy
[2] https://lists.apache.org/thread/swg5qb35qxywt6w0k7oxt2srsvqnqgnh
[3] #463
[4] https://github.com/ldbc/ldbc_snb_datagen_spark
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