Crates.io | datafusion-ffi |
lib.rs | datafusion-ffi |
version | 43.0.0 |
source | src |
created_at | 2024-11-09 04:06:03.548485 |
updated_at | 2024-11-09 04:06:03.548485 |
description | Foreign Function Interface implementation for DataFusion |
homepage | https://datafusion.apache.org |
repository | https://github.com/apache/datafusion |
max_upload_size | |
id | 1441797 |
size | 62,924 |
datafusion-ffi
: Apache DataFusion Foreign Function InterfaceThis crate contains code to allow interoperability of Apache DataFusion with functions from other languages using a stable interface.
See API Docs for details and examples.
We expect this crate may be used by both sides of the FFI. This allows users
to create modules that can interoperate with the necessity of using the same
version of DataFusion. The driving use case has been the datafusion-python
repository, but many other use cases may exist. We envision at least two
use cases.
datafusion-python
which will use the FFI to provide external services such
as a TableProvider
without needing to re-export the entire datafusion-python
code base. With datafusion-ffi
these packages do not need datafusion-python
as a dependency at all.In this crate we have a variety of structs which closely mimic the behavior of
their internal counterparts. In the following example, we will refer to the
TableProvider
, but the same pattern exists for other structs.
Each of the exposted structs in this crate is provided with a variant prefixed
with Foreign
. This variant is designed to be used by the consumer of the
foreign code. The Foreign
structs should never access the private_data
fields. Instead they should only access the data returned through the function
calls defined on the FFI_
structs. The second purpose of the Foreign
structs is to contain additional data that may be needed by the traits that
are implemented on them. Some of these traits require borrowing data which
can be far more convienent to be locally stored.
For example, we have a struct FFI_TableProvider
to give access to the
TableProvider
functions like table_type()
and scan()
. If we write a
library that wishes to expose it's TableProvider
, then we can access the
private data that contains the Arc reference to the TableProvider
via
FFI_TableProvider
. This data is local to the library.
If we have a program that accesses a TableProvider
via FFI, then it
will use ForeignTableProvider
. When using ForeignTableProvider
we must
not attempt to access the private_data
field in FFI_TableProvider
. If a
user is testing locally, you may be able to successfully access this field, but
it will only work if you are building against the exact same version of
DataFusion
for both libraries and the same compiler. It will not work
in general.
It is worth noting that which library is the local
and which is foreign
depends on which interface we are considering. For example, suppose we have a
Python library called my_provider
that exposes a TableProvider
called
MyProvider
via FFI_TableProvider
. Within the library my_provider
we can
access the private_data
via FFI_TableProvider
. We connect this to
datafusion-python
, where we access it as a ForeignTableProvider
. Now when
we call scan()
on this interface, we have to pass it a FFI_SessionConfig
.
The SessionConfig
is local to datafusion-python
and not my_provider
.
It is important to be careful when expanding these functions to be certain which
side of the interface each object refers to.