datafusion

mirror of https://github.com/langchain-ai/datafusion.git synced 2026-07-01 21:24:06 -04:00

T

Steven Phillips fe2591b3ce ARROW-259: Use Flatbuffer Field type instead of MaterializedField

Remove MaterializedField, MajorType, RepeatedTypes

Add code to convert from FlatBuf representation to Pojo

also adds tests to test the conversion

2016-08-18 16:29:27 -07:00

ARROW-233: Add visibility macros, add static build option

2016-07-10 13:17:50 -07:00

dev

ARROW-222: Prototyping an IO interface for Arrow, with initial HDFS target

2016-06-24 16:41:08 -07:00

format

ARROW-259: Use Flatbuffer Field type instead of MaterializedField

2016-08-18 16:29:27 -07:00

.travis.yml

ARROW-222: Prototyping an IO interface for Arrow, with initial HDFS target

2016-06-24 16:41:08 -07:00

header

ARROW-259: Use Flatbuffer Field type instead of MaterializedField

2016-08-18 16:29:27 -07:00

LICENSE.txt

Update readme and add license in root.

2016-02-17 04:38:39 -08:00

NOTICE.txt

ARROW-245: add endianness to RecordBatch

2016-08-15 09:25:51 -07:00

README.md

ARROW-35: Add a short call-to-action in the top level README.md

2016-03-07 14:47:36 -08:00

README.md

Apache Arrow

Build Status

Powering Columnar In-Memory Analytics

Arrow is a set of technologies that enable big-data systems to process and move data fast.

Initial implementations include:

Arrow is an Apache Software Foundation project. More info can be found at arrow.apache.org.

Getting involved

Right now the primary audience for Apache Arrow are the designers and developers of data systems; most people will use Apache Arrow indirectly through systems that use it for internal data handling and interoperating with other Arrow-enabled systems.

Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved:

Join the mailing list: send an email to dev-subscribe@arrow.apache.org. Share your ideas and use cases for the project.
Follow our activity on JIRA
Learn the format
Contribute code to one of the reference implementations