Source: apache-arrow Section: devel Priority: optional Maintainer: Debian Science Maintainers Uploaders: Steffen Moeller , Sascha Steinbiss , Diane Trout Build-Depends: clang, clang-tidy, cmake, cython3, debhelper-compat (= 13), dh-python, dh-r, dh-sequence-numpy3, git, gir1.2-glib-2.0-dev, gobject-introspection (>= 1.80), golang-gir-gobject-2.0-dev, # gir1.2-*-dev, gtk-doc-tools, libgirepository-1.0-dev, libboost-filesystem-dev, libboost-system-dev, libbrotli-dev, libbz2-dev, libcurl4-openssl-dev, libgoogle-glog-dev, libgrpc++-dev, libgtest-dev, libjemalloc-dev, # libmimalloc-dev, # Attempts to download during build liblz4-dev, libre2-dev, libprotobuf-dev, libprotoc-dev, libs3-dev, libsnappy-dev, libssl-dev, libthrift-dev, libutf8proc-dev, libxsimd-dev, libzstd-dev, llvm, llvm-dev, meson, ninja-build, # nvidia-cuda-toolkit [!arm64], pkgconf, protobuf-compiler-grpc, python3-thrift, python3-all-dev, python3-cffi , python3-dotenv , python3-git , python3-github , python3-hypothesis , python3-memory-profiler , python3-numpy-dev, python3-pandas , python3-pytest , python3-pytest-arraydiff , python3-pytest-cov , python3-responses , python3-semver , python3-setuptools-scm, python3-typeguard , python3-pytz , python3-wheel , r-base-dev, r-cran-assertthat, r-cran-bit64, r-cran-cpp11, r-cran-glue, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-tidyselect, r-cran-vctrs, rapidjson-dev, tzdata, tzdata-legacy, zlib1g-dev #Build-Depends-Indep: libglib2.0-doc Standards-Version: 4.7.2 Homepage: https://arrow.apache.org/ # To be synced with dev/tasks/linux-packages/apache-arrow/debian/control.in Package: libarrow2300 Section: libs Architecture: any Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends} Description: Apache Arrow data processing library Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ library files. #Package: libarrow-cuda2300 #Section: libs #Architecture: i386 amd64 #Multi-Arch: same #Pre-Depends: ${misc:Pre-Depends} #Depends: # ${misc:Depends}, # ${shlibs:Depends} # libarrow2300 (= ${binary:Version}) #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides C++ library files for CUDA support. Package: libarrow-acero2300 Section: libs Architecture: any Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends}, libarrow2300 (= ${binary:Version}), Description: Apache library for processing large streams of data Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ library files for the Apache Acero module. Package: libarrow-dataset2300 Section: libs Architecture: any Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends}, libarrow2300 (= ${binary:Version}), libparquet2300 (= ${binary:Version}) Description: Apache Arrow is a data processing library for analysis Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ library files for Dataset module. Package: libarrow-flight2300 Section: libs Architecture: any Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends}, libarrow2300 (= ${binary:Version}) Description: Apache Arrow is a data processing library for analysis Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ library files for Flight RPC system. # Is this in the python package now? Package: libarrow-python2300 Conflicts: libarrow-python2200 Section: libs Architecture: any Multi-Arch: no Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends}, libarrow2300 (= ${binary:Version}), python3, python3-numpy Description: Apache Arrow is a data processing library for analysis Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ library files for Python support. Package: libarrow-python-flight2300 Conflicts: libarrow-python-flight2200 Section: libs Architecture: any Multi-Arch: no Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends}, libarrow-flight2300 (= ${binary:Version}), libarrow-python2300 (= ${binary:Version}) Description: Apache Arrow is a data processing library for analysis Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ library files for Flight and Python support. Package: libarrow-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, libarrow2300 (= ${binary:Version}), libbrotli-dev, libbz2-dev, libgrpc++-dev, liblz4-dev, libre2-dev, libsnappy-dev, libssl-dev, libutf8proc-dev, libzstd-dev, protobuf-compiler-grpc, libprotobuf-dev, libprotoc-dev, libthrift-dev, zlib1g-dev Description: Apache Arrow data processing library - header files Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ header files. Package: libarrow-acero-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, libarrow-dev (= ${binary:Version}), libarrow-acero2300 (= ${binary:Version}), Description: Apache Acero is a tool for processing large streams of data Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ header files for dataset module. #Package: libarrow-cuda-dev #Section: libdevel #Architecture: i386 amd64 #Multi-Arch: same #Depends: # ${misc:Depends}, # libarrow-dev (= ${binary:Version}), # libarrow-cuda2300 (= ${binary:Version}) #Description: Apache Arrow data processing library - CUDA headers # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides C++ header files for CUDA support. Package: libarrow-dataset-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, libarrow-dev (= ${binary:Version}), libarrow-dataset2300 (= ${binary:Version}), libparquet-dev (= ${binary:Version}) Description: Apache Arrow is a data processing library for analysis Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ header files for dataset module. Package: libarrow-flight-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, libarrow-dev (= ${binary:Version}), libarrow-flight2300 (= ${binary:Version}) Description: Apache Arrow is a data processing library for analysis Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ header files for Flight RPC system. #Package: libplasma2300 #Section: libs #Architecture: i386 amd64 #Multi-Arch: same #Pre-Depends: ${misc:Pre-Depends} #Depends: # ${misc:Depends}, # ${shlibs:Depends}, # libarrow-cuda2300 (= ${binary:Version}) #Description: Plasma is an in-memory object store and cache for big data. # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides C++ library files to connect plasma-store-server. #Package: plasma-store-server #Section: utils #Architecture: i386 amd64 #Pre-Depends: ${misc:Pre-Depends} #Depends: # ${misc:Depends}, # ${shlibs:Depends}, # libplasma2300 (= ${binary:Version}) #Description: Plasma is an in-memory object store and cache for big data. # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides plasma-store-server. #Package: libplasma-dev #Section: libdevel #Architecture: i386 amd64 #Multi-Arch: same #Depends: # ${misc:Depends}, # libarrow-cuda-dev (= ${binary:Version}), # libplasma2300 (= ${binary:Version}) #Description: Plasma is an in-memory object store and cache for big data. # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides C++ header files. Package: libgandiva2300 Section: libs Architecture: any Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends} Description: Runtime expression compiler for Apache Arrow records Gandiva is a runtime expression compiler that uses LLVM to generate efficient native code for compute on Arrow record batches. Among the transformations of Arrow data files, Gandiva only handles projections and filters. . 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). Package: libgandiva-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, libarrow-dev (= ${binary:Version}), libgandiva2300 (= ${binary:Version}) Description: header files for Apache Arrow Gandiva library Gandiva is a runtime expression compiler that uses LLVM to generate efficient native code for compute on Arrow record batches. Among the transformations of Arrow data files, Gandiva only handles projections and filters. . This package provides C++ header files. Package: libparquet2300 Section: libs Architecture: any Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends} Description: Apache Parquet is a columnar storage format Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ library files to process the Apache Parquet format. Package: libparquet-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, libarrow-dev (= ${binary:Version}), libparquet2300 (= ${binary:Version}) Description: Apache Parquet is a columnar storage format Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides C++ header files. #Package: libarrow-glib2300 #Section: libs #Architecture: any #Multi-Arch: same #Pre-Depends: ${misc:Pre-Depends} #Depends: # ${misc:Depends}, # ${shlibs:Depends}, # libarrow2300 (= ${binary:Version}) #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based library files. #Package: gir1.2-arrow-1.0 #Section: introspection #Architecture: any #Multi-Arch: same #Depends: # ${gir:Depends}, # ${misc:Depends} #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GObject Introspection typelib files. #Package: libarrow-glib-dev #Section: libdevel #Architecture: any #Multi-Arch: same #Depends: # ${misc:Depends}, # libglib2.0-dev, # libarrow-dev (= ${binary:Version}), # libarrow-glib2300 (= ${binary:Version}), # gir1.2-arrow-1.0 (= ${binary:Version}) #Suggests: libarrow-glib-doc #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based header files. #Package: libarrow-glib-doc #Section: doc #Architecture: all #Multi-Arch: foreign #Depends: # ${misc:Depends} #Recommends: libglib2.0-doc #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides documentations. # Package: libarrow-cuda-glib2300 # Section: libs # Architecture: i386 amd64 # Multi-Arch: same # Pre-Depends: ${misc:Pre-Depends} # Depends: # ${misc:Depends}, # ${shlibs:Depends}, # libarrow-glib2300 (= ${binary:Version}), # libarrow-cuda2300 (= ${binary:Version}) # Description: Apache Arrow is a data processing library for analysis # . # This package provides GLib based library files for CUDA support. # Package: gir1.2-arrow-cuda-1.0 # Section: introspection # Architecture: i386 amd64 # Multi-Arch: same # Depends: # ${gir:Depends}, # ${misc:Depends} # Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GObject Introspection typelib files for CUDA support. # Package: libarrow-cuda-glib-dev # Section: libdevel # Architecture: i386 amd64 # Multi-Arch: same # Depends: # ${misc:Depends}, # libarrow-cuda-dev (= ${binary:Version}), # libarrow-glib-dev (= ${binary:Version}), # libarrow-cuda-glib2300 (= ${binary:Version}), # gir1.2-arrow-cuda-1.0 (= ${binary:Version}) # Description: Apache Arrow is a data processing library for analysis # . # This package provides GLib based header files for CUDA support. #Package: libarrow-dataset-glib2300 #Section: libs #Architecture: any #Multi-Arch: same #Pre-Depends: ${misc:Pre-Depends} #Depends: # ${misc:Depends}, # ${shlibs:Depends}, # libarrow-glib2300 (= ${binary:Version}), # libarrow-dataset2300 (= ${binary:Version}) #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based library files for dataset module. #Package: gir1.2-arrow-dataset-1.0 #Section: introspection #Architecture: any #Multi-Arch: same #Depends: # ${gir:Depends}, # ${misc:Depends} #Description: GObject Introspection for Apache Arrow dataset module # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GObject Introspection typelib files for dataset # module. #Package: libarrow-dataset-glib-dev #Section: libdevel #Architecture: any #Multi-Arch: same #Depends: # ${misc:Depends}, # libarrow-dataset-dev (= ${binary:Version}), # libarrow-glib-dev (= ${binary:Version}), # libarrow-dataset-glib2300 (= ${binary:Version}), # gir1.2-arrow-dataset-1.0 (= ${binary:Version}) #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based header files for dataset module. #Package: libarrow-dataset-glib-doc #Section: doc #Architecture: any #Multi-Arch: foreign #Depends: # ${misc:Depends} #Recommends: libarrow-glib-doc #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides documentations for dataset module. #Package: libgandiva-glib2300 #Section: libs #Architecture: any #Multi-Arch: same #Pre-Depends: ${misc:Pre-Depends} #Depends: # ${misc:Depends}, # ${shlibs:Depends}, # libarrow-glib2300 (= ${bi nary:Version}), # libgandiva2300 (= ${binary:Version}) #Description: Gandiva toolset for expressions on Arrow Data # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based library files. #Package: gir1.2-gandiva-1.0 #Section: introspection #Architecture: any #Multi-Arch: same #Depends: # ${gir:Depends}, # ${misc:Depends} #Description: GObject Introspection for Gandiva toolset on Arrow Data #Apache Arrow defines a language-independent columnar memory format #for flat and nested data, organized for efficient analytic operations #on modern hardware like CPUs and GPUs. The Arrow memory format also #supports zero-copy reads for lightning-fast data access without #serialization overhead. #. #Arrow's libraries implement the format and provide building blocks #for a range of use cases, including high performance analytics. Many #popular projects use Arrow to ship columnar data efficiently or as the #basis for analytic engines. # . # This package provides GObject Introspection typelib files. #Package: libgandiva-glib-dev #Section: libdevel #Architecture: any #Multi-Arch: same #Depends: # ${misc:Depends}, # libgandiva-dev (= ${binary:Version}), # libarrow-glib-dev (= ${binary:Version}), # libgandiva-glib2300 (= ${binary:Version}), # gir1.2-gandiva-1.0 (= ${binary:Version}) #Description: Gandiva expressions on Arrow Data - headers files # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based header files. #Package: libgandiva-glib-doc #Section: doc #Architecture: any #Multi-Arch: foreign #Depends: # ${misc:Depends} #Recommends: libglib2.0-doc #Description: Gandiva toolset documentation on expressions on Arrow Data # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides documentations. #Package: libplasma-glib2300 #Section: libs #Architecture: i386 amd64 #Multi-Arch: same #Pre-Depends: ${misc:Pre-Depends} #Depends: # ${misc:Depends}, # ${shlibs:Depends}, # libarrow-cuda-glib2300 (= ${binary:Version}), # libplasma2300 (= ${binary:Version}) #Description: Plasma is an in-memory object store and cache for big data. # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based library files to connect # plasma-store-server. #Package: gir1.2-plasma-1.0 #Section: introspection #Architecture: i386 amd64 #Multi-Arch: same #Depends: # ${gir:Depends}, # ${misc:Depends} #Description: Plasma is an in-memory object store and cache for big data. # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GObject Introspection typelib files. #Package: libplasma-glib-dev #Section: libdevel #Architecture: i386 amd64 #Multi-Arch: same #Depends: # ${misc:Depends}, # libplasma-dev (= ${binary:Version}), # libarrow-cuda-glib-dev (= ${binary:Version}), # libplasma-glib2300 (= ${binary:Version}), # gir1.2-plasma-1.0 (= ${binary:Version}) #Description: Plasma is an in-memory object store and cache for big data. # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based header files. #Package: libplasma-glib-doc #Section: doc #Architecture: i386 amd64 #Multi-Arch: foreign #Depends: # ${misc:Depends} #Recommends: libglib2.0-doc #Description: Plasma in-memory object store and cache for big data # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides documentation for the plasma object store. #Package: libparquet-glib2300 #Section: libs #Architecture: any #Multi-Arch: same #Pre-Depends: ${misc:Pre-Depends} #Depends: # ${misc:Depends}, # ${shlibs:Depends}, # libarrow-glib2300 (= ${binary:Version}), # libparquet2300 (= ${binary:Version}) #Description: Apache Parquet libraries for glib # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based library files. #Package: gir1.2-parquet-1.0 #Section: introspection #Architecture: any #Multi-Arch: same #Depends: # ${gir:Depends}, # ${misc:Depends} #Description: GObject Introspection for Parquet columnar storage format # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GObject Introspection typelib files. #Package: libparquet-glib-dev #Section: libdevel #Architecture: any #Multi-Arch: same #Depends: # ${misc:Depends}, # libarrow-glib-dev (= ${binary:Version}), # libparquet-dev (= ${binary:Version}), # libparquet-glib2300 (= ${binary:Version}), # gir1.2-parquet-1.0 (= ${binary:Version}) #Suggests: libparquet-glib-doc #Description: Apache Parquet columnar storage format # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides GLib based header files. #Package: libparquet-glib-doc #Section: doc #Architecture: all #Multi-Arch: foreign #Depends: # ${misc:Depends} #Recommends: libglib2.0-doc #Description: Documentation for Apache Parquet columnar storage format # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides documentation. Package: python3-pyarrow Section: python Architecture: any Multi-Arch: no Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends}, libarrow2300 (= ${binary:Version}), libarrow-python2300, libarrow-python-flight2300 Description: Python interface to the Arrow C++ libraries Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . This library provides a Python API for functionality provided by the Arrow C++ libraries, along with tools for Arrow integration and interoperability with pandas, NumPy, and other software in the Python ecosystem. Package: pyarrow-dev Section: python Architecture: any Multi-Arch: same Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends}, libarrow-dev (= ${binary:Version}) Description: Python interface to the Apache Arrow C++ libraries Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This provides C headers for interacting with the pyarrow interface to the Arrow C++ libraries. Package: r-cran-arrow Section: libs Architecture: any Multi-Arch: no Depends: ${misc:Depends}, ${shlibs:Depends}, ${R:Depends}, r-api-4.0, r-cran-assertthat, r-cran-bit64, r-cran-cpp11, r-cran-glue, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-tidyselect, r-cran-vctrs Description: R package for Apache Arrow data storage management Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. . Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. . This package provides the R interface to arrow. It is the same as published independently on CRAN. # NO LONGER NEEDED AS IT SEEMS # Seems to have been removed by building the python package? #Package: libarrow-python-dev #Section: libdevel #Architecture: any #Multi-Arch: same #Depends: # ${misc:Depends}, # libarrow-dev (= ${binary:Version}), # libarrow-python2300 (= ${binary:Version}) #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides C++ header files for Python support. #Package: libarrow-python-flight-dev #Section: libdevel #Architecture: any #Multi-Arch: same #Depends: # ${misc:Depends}, # libarrow-flight-dev (= ${binary:Version}), # libarrow-python-dev (= ${binary:Version}), # libarrow-python-flight2300 (= ${binary:Version}) #Description: Apache Arrow is a data processing library for analysis # Apache Arrow defines a language-independent columnar memory format # for flat and nested data, organized for efficient analytic operations # on modern hardware like CPUs and GPUs. The Arrow memory format also # supports zero-copy reads for lightning-fast data access without # serialization overhead. # . # Arrow's libraries implement the format and provide building blocks # for a range of use cases, including high performance analytics. Many # popular projects use Arrow to ship columnar data efficiently or as the # basis for analytic engines. # . # This package provides C++ header files for Flight and Python support.