docs/source/cpp/gandiva.rst - arrow - Git at Google

 .. Licensed to the Apache Software Foundation (ASF) under one
 .. or more contributor license agreements.  See the NOTICE file
 .. distributed with this work for additional information
 .. regarding copyright ownership.  The ASF licenses this file
 .. to you under the Apache License, Version 2.0 (the
 .. "License"); you may not use this file except in compliance
 .. with the License.  You may obtain a copy of the License at

 ..   http://www.apache.org/licenses/LICENSE-2.0

 .. Unless required by applicable law or agreed to in writing,
 .. software distributed under the License is distributed on an
 .. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 .. KIND, either express or implied.  See the License for the
 .. specific language governing permissions and limitations
 .. under the License.

 .. default-domain:: cpp
 .. highlight:: cpp
 .. cpp:namespace:: gandiva

 ===============================
 The Gandiva Expression Compiler
 ===============================

 Gandiva is a runtime expression compiler that uses `LLVM`_ to generate
 efficient native code for compute on Arrow record batches.
 Gandiva only handles projections and filters; for other transformations, see
 :ref:`Compute Functions <compute-cpp>`.

 Gandiva was designed to take advantage of the Arrow memory format and modern
 hardware. From the Arrow memory model, since Arrow arrays have separate buffers for values and
 validity bitmaps, values and their null status can often be processed
 independently, allowing for better instruction pipelining. On modern hardware,
 compiling expressions using LLVM allows the execution to be optimized
 to the local runtime environment and hardware, including available SIMD
 instructions. To reduce optimization overhead, many Gandiva functions are
 pre-compiled into LLVM IR (intermediate representation).

 .. _LLVM: https://llvm.org/


 Expression, Projector and Filter
 ================================
 To effectively utilize Gandiva, you will construct expression trees with ``TreeExprBuilder``,
 including the creation of function nodes, if-else logic, and boolean expressions.
 Subsequently, leverage ``Projector`` or ``Filter`` execution kernels to efficiently evaluate these expressions.
 See :doc:`./gandiva/expr_projector_filter` for more details.


 External Functions Development
 ==============================
 Gandiva offers the capability of integrating external functions, encompassing
 both C functions and IR functions. This feature broadens the spectrum of
 functions that can be applied within Gandiva expressions. For developers
 looking to customize and enhance their computational solutions,
 Gandiva provides the opportunity to develop and register their own external
 functions, thus allowing for a more tailored and flexible use of the Gandiva
 environment.
 See :doc:`./gandiva/external_func` for more details.

 .. toctree::
    :maxdepth: 2

    gandiva/expr_projector_filter
    gandiva/external_func
	.. Licensed to the Apache Software Foundation (ASF) under one
	.. or more contributor license agreements. See the NOTICE file
	.. distributed with this work for additional information
	.. regarding copyright ownership. The ASF licenses this file
	.. to you under the Apache License, Version 2.0 (the
	.. "License"); you may not use this file except in compliance
	.. with the License. You may obtain a copy of the License at

	.. http://www.apache.org/licenses/LICENSE-2.0

	.. Unless required by applicable law or agreed to in writing,
	.. software distributed under the License is distributed on an
	.. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	.. KIND, either express or implied. See the License for the
	.. specific language governing permissions and limitations
	.. under the License.

	.. default-domain:: cpp
	.. highlight:: cpp
	.. cpp:namespace:: gandiva

	===============================
	The Gandiva Expression Compiler
	===============================

	Gandiva is a runtime expression compiler that uses `LLVM`_ to generate
	efficient native code for compute on Arrow record batches.
	Gandiva only handles projections and filters; for other transformations, see
	:ref:`Compute Functions <compute-cpp>`.

	Gandiva was designed to take advantage of the Arrow memory format and modern
	hardware. From the Arrow memory model, since Arrow arrays have separate buffers for values and
	validity bitmaps, values and their null status can often be processed
	independently, allowing for better instruction pipelining. On modern hardware,
	compiling expressions using LLVM allows the execution to be optimized
	to the local runtime environment and hardware, including available SIMD
	instructions. To reduce optimization overhead, many Gandiva functions are
	pre-compiled into LLVM IR (intermediate representation).

	.. _LLVM: https://llvm.org/


	Expression, Projector and Filter
	================================
	To effectively utilize Gandiva, you will construct expression trees with ``TreeExprBuilder``,
	including the creation of function nodes, if-else logic, and boolean expressions.
	Subsequently, leverage ``Projector`` or ``Filter`` execution kernels to efficiently evaluate these expressions.
	See :doc:`./gandiva/expr_projector_filter` for more details.


	External Functions Development
	==============================
	Gandiva offers the capability of integrating external functions, encompassing
	both C functions and IR functions. This feature broadens the spectrum of
	functions that can be applied within Gandiva expressions. For developers
	looking to customize and enhance their computational solutions,
	Gandiva provides the opportunity to develop and register their own external
	functions, thus allowing for a more tailored and flexible use of the Gandiva
	environment.
	See :doc:`./gandiva/external_func` for more details.

	.. toctree::
	:maxdepth: 2

	gandiva/expr_projector_filter
	gandiva/external_func