Remove arrow dependency

ci/build_wheel_cudf.sh

@@ -22,7 +22,6 @@ export PIP_CONSTRAINT="/tmp/constraints.txt"
 
 python -m auditwheel repair \
     --exclude libcudf.so \
-    --exclude libarrow.so.1601 \
     --exclude libnvcomp.so \
     --exclude libnvcomp_bitcomp.so \
     --exclude libnvcomp_gdeflate.so \

ci/build_wheel_libcudf.sh

@@ -10,6 +10,6 @@ package_dir="python/libcudf"
 RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
 
 mkdir -p ${package_dir}/final_dist
-python -m auditwheel repair --exclude libarrow.so.1601 -w ${package_dir}/final_dist ${package_dir}/dist/*
+python -m auditwheel repair -w ${package_dir}/final_dist ${package_dir}/dist/*
 
 RAPIDS_PY_WHEEL_NAME="libcudf_${RAPIDS_PY_CUDA_SUFFIX}" rapids-upload-wheels-to-s3 cpp ${package_dir}/final_dist

ci/build_wheel_pylibcudf.sh

@@ -20,7 +20,6 @@ export PIP_CONSTRAINT="/tmp/constraints.txt"
 
 python -m auditwheel repair \
     --exclude libcudf.so \
-    --exclude libarrow.so.1601 \
     --exclude libnvcomp.so \
     --exclude libnvcomp_bitcomp.so \
     --exclude libnvcomp_gdeflate.so \

conda/environments/all_cuda-118_arch-x86_64.yaml

@@ -37,15 +37,11 @@ dependencies:
 - hypothesis
 - identify>=2.5.20
 - ipython
-- libarrow-acero==16.1.0.*
-- libarrow-dataset==16.1.0.*
-- libarrow==16.1.0.*
 - libcufile-dev=1.4.0.31
 - libcufile=1.4.0.31
 - libcurand-dev=10.3.0.86
 - libcurand=10.3.0.86
 - libkvikio==24.10.*,>=0.0.0a0
-- libparquet==16.1.0.*
 - librdkafka>=1.9.0,<1.10.0a0
 - librmm==24.10.*,>=0.0.0a0
 - make
@@ -56,7 +52,6 @@ dependencies:
 - ninja
 - notebook
 - numba>=0.57
-- numpy
 - numpy>=1.23,<2.0a0
 - numpydoc
 - nvcc_linux-64=11.8
@@ -68,7 +63,6 @@ dependencies:
 - pandoc
 - pre-commit
 - ptxcompiler
-- pyarrow==16.1.0.*
 - pydata-sphinx-theme!=0.14.2
 - pytest-benchmark
 - pytest-cases>=3.8.2

conda/environments/all_cuda-125_arch-x86_64.yaml

@@ -38,13 +38,9 @@ dependencies:
 - hypothesis
 - identify>=2.5.20
 - ipython
-- libarrow-acero==16.1.0.*
-- libarrow-dataset==16.1.0.*
-- libarrow==16.1.0.*
 - libcufile-dev
 - libcurand-dev
 - libkvikio==24.10.*,>=0.0.0a0
-- libparquet==16.1.0.*
 - librdkafka>=1.9.0,<1.10.0a0
 - librmm==24.10.*,>=0.0.0a0
 - make
@@ -55,7 +51,6 @@ dependencies:
 - ninja
 - notebook
 - numba>=0.57
-- numpy
 - numpy>=1.23,<2.0a0
 - numpydoc
 - nvcomp==3.0.6
@@ -65,7 +60,6 @@ dependencies:
 - pandas>=2.0,<2.2.3dev0
 - pandoc
 - pre-commit
-- pyarrow==16.1.0.*
 - pydata-sphinx-theme!=0.14.2
 - pynvjitlink>=0.0.0a0
 - pytest-benchmark

conda/recipes/cudf/meta.yaml

@@ -64,9 +64,6 @@ requirements:
     - rapids-build-backend >=0.3.0,<0.4.0.dev0
     - scikit-build-core >=0.10.0
     - dlpack >=0.8,<1.0
-    # TODO: Change to `2.0` for NumPy 2
-    - numpy 1.23
-    - pyarrow ==16.1.0.*
     - libcudf ={{ version }}
     - pylibcudf ={{ version }}
     - rmm ={{ minor_version }}
@@ -84,9 +81,8 @@ requirements:
     - pandas >=2.0,<2.2.3dev0
     - cupy >=12.0.0
     - numba >=0.57
-    # TODO: Update `numpy` in `host` when dropping `<2.0a0`
     - numpy >=1.23,<2.0a0
-    - {{ pin_compatible('pyarrow', max_pin='x.x') }}
+    - pyarrow ==16.1.0.*
     - libcudf ={{ version }}
     - pylibcudf ={{ version }}
     - {{ pin_compatible('rmm', max_pin='x.x') }}

conda/recipes/libcudf/conda_build_config.yaml

@@ -19,9 +19,6 @@ c_stdlib_version:
 cmake_version:
   - ">=3.26.4,!=3.30.0"
 
-libarrow_version:
-  - "==16.1.0"
-
 dlpack_version:
   - ">=0.8,<1.0"
 

conda/recipes/libcudf/meta.yaml

@@ -64,7 +64,6 @@ requirements:
     {% endif %}
     - cuda-version ={{ cuda_version }}
     - nvcomp {{ nvcomp_version }}
-    - libarrow {{ libarrow_version }}
     - dlpack {{ dlpack_version }}
     - librdkafka {{ librdkafka_version }}
     - fmt {{ fmt_version }}
@@ -92,7 +91,6 @@ outputs:
         - cmake {{ cmake_version }}
       host:
         - cuda-version ={{ cuda_version }}
-        - libarrow {{ libarrow_version }}
       run:
         - {{ pin_compatible('cuda-version', max_pin='x', min_pin='x') }}
         {% if cuda_major == "11" %}

conda/recipes/pylibcudf/meta.yaml

@@ -64,9 +64,6 @@ requirements:
     - rapids-build-backend >=0.3.0,<0.4.0.dev0
     - scikit-build-core >=0.10.0
     - dlpack >=0.8,<1.0
-    # TODO: Change to `2.0` for NumPy 2
-    - numpy 1.23
-    - pyarrow ==16.1.0.*
     - libcudf ={{ version }}
     - rmm ={{ minor_version }}
     {% if cuda_major == "11" %}
@@ -81,9 +78,8 @@ requirements:
     - python
     - typing_extensions >=4.0.0
     - pandas >=2.0,<2.2.3dev0
-    # TODO: Update `numpy` in `host` when dropping `<2.0a0`
     - numpy >=1.23,<2.0a0
-    - {{ pin_compatible('pyarrow', max_pin='x.x') }}
+    - pyarrow ==16.1.0.*
     - {{ pin_compatible('rmm', max_pin='x.x') }}
     - fsspec >=0.6.0
     {% if cuda_major == "11" %}

cpp/CMakeLists.txt

@@ -54,11 +54,6 @@ mark_as_advanced(CUDF_BUILD_TESTUTIL)
 option(CUDF_USE_PROPRIETARY_NVCOMP "Download and use NVCOMP with proprietary extensions" ON)
 option(CUDF_LARGE_STRINGS_DISABLED "Build with large string support disabled" OFF)
 mark_as_advanced(CUDF_LARGE_STRINGS_DISABLED)
-option(CUDF_USE_ARROW_STATIC "Build and statically link Arrow libraries" OFF)
-option(CUDF_ENABLE_ARROW_ORC "Build the Arrow ORC adapter" OFF)
-option(CUDF_ENABLE_ARROW_PYTHON "Find (or build) Arrow with Python support" OFF)
-option(CUDF_ENABLE_ARROW_PARQUET "Find (or build) Arrow with Parquet support" OFF)
-option(CUDF_ENABLE_ARROW_S3 "Build/Enable AWS S3 Arrow filesystem support" OFF)
 option(
   CUDF_USE_PER_THREAD_DEFAULT_STREAM
   "Build cuDF with per-thread default stream, including passing the per-thread default
@@ -81,8 +76,6 @@ option(CUDA_ENABLE_LINEINFO
 option(CUDA_WARNINGS_AS_ERRORS "Enable -Werror=all-warnings for all CUDA compilation" ON)
 # cudart can be statically linked or dynamically linked. The python ecosystem wants dynamic linking
 option(CUDA_STATIC_RUNTIME "Statically link the CUDA runtime" OFF)
-option(USE_LIBARROW_FROM_PYARROW "Only use the libarrow contained in pyarrow" OFF)
-mark_as_advanced(USE_LIBARROW_FROM_PYARROW)
 
 set(DEFAULT_CUDF_BUILD_STREAMS_TEST_UTIL ON)
 if(CUDA_STATIC_RUNTIME OR NOT BUILD_SHARED_LIBS)
@@ -100,8 +93,6 @@ message(VERBOSE "CUDF: Configure CMake to build tests: ${BUILD_TESTS}")
 message(VERBOSE "CUDF: Configure CMake to build (google & nvbench) benchmarks: ${BUILD_BENCHMARKS}")
 message(VERBOSE "CUDF: Build cuDF shared libraries: ${BUILD_SHARED_LIBS}")
 message(VERBOSE "CUDF: Use a file cache for JIT compiled kernels: ${JITIFY_USE_CACHE}")
-message(VERBOSE "CUDF: Build and statically link Arrow libraries: ${CUDF_USE_ARROW_STATIC}")
-message(VERBOSE "CUDF: Build and enable S3 filesystem support for Arrow: ${CUDF_ENABLE_ARROW_S3}")
 message(VERBOSE "CUDF: Build with per-thread default stream: ${CUDF_USE_PER_THREAD_DEFAULT_STREAM}")
 message(
   VERBOSE
@@ -192,8 +183,6 @@ include(cmake/thirdparty/get_nvcomp.cmake)
 include(cmake/thirdparty/get_cccl.cmake)
 # find rmm
 include(cmake/thirdparty/get_rmm.cmake)
-# find arrow
-include(cmake/thirdparty/get_arrow.cmake)
 # find flatbuffers
 include(cmake/thirdparty/get_flatbuffers.cmake)
 # find dlpack
@@ -806,7 +795,7 @@ add_dependencies(cudf jitify_preprocess_run)
 # Specify the target module library dependencies
 target_link_libraries(
   cudf
-  PUBLIC ${ARROW_LIBRARIES} CCCL::CCCL rmm::rmm $<BUILD_LOCAL_INTERFACE:BS::thread_pool>
+  PUBLIC CCCL::CCCL rmm::rmm $<BUILD_LOCAL_INTERFACE:BS::thread_pool>
   PRIVATE $<BUILD_LOCAL_INTERFACE:nvtx3::nvtx3-cpp> cuco::cuco ZLIB::ZLIB nvcomp::nvcomp
           kvikio::kvikio $<TARGET_NAME_IF_EXISTS:cuFile_interface> nanoarrow
 )
@@ -1055,20 +1044,6 @@ following IMPORTED GLOBAL  targets:
     ]=]
 )
 
-if(CUDF_ENABLE_ARROW_PARQUET)
-  string(
-    APPEND
-    install_code_string
-    [=[
-  if(NOT Parquet_DIR)
-    set(Parquet_DIR "${Arrow_DIR}")
-  endif()
-  set(ArrowDataset_DIR "${Arrow_DIR}")
-  find_dependency(ArrowDataset)
-  ]=]
-  )
-endif()
-
 string(
   APPEND
   install_code_string