Fix PKGBUILD, add documentation to developers/cpp.rst, fix manylinux wheel READMEs

ci/PKGBUILD

@@ -28,7 +28,7 @@ depends=("${MINGW_PACKAGE_PREFIX}-boost"
          "${MINGW_PACKAGE_PREFIX}-thrift"
          "${MINGW_PACKAGE_PREFIX}-snappy"
          "${MINGW_PACKAGE_PREFIX}-zlib"
-         "${MINGW_PACKAGE_PREFIX}-lz4"         
+         "${MINGW_PACKAGE_PREFIX}-lz4"
          "${MINGW_PACKAGE_PREFIX}-zstd")
 makedepends=("${MINGW_PACKAGE_PREFIX}-cmake"
              "${MINGW_PACKAGE_PREFIX}-gcc")
@@ -80,6 +80,12 @@ build() {
     -DCMAKE_BUILD_TYPE=${cmake_build_type} \
     -DARROW_BUILD_STATIC=ON \
     -DARROW_BUILD_SHARED=OFF \
+    -DARROW_COMPUTE=ON \
+    -DARROW_CSV=ON \
+    -DARROW_DATASET=ON \
+    -DARROW_FILESYSTEM=ON \
+    -DARROW_HDFS=ON \
+    -DARROW_JSON=ON \
     -DARROW_PARQUET=ON \
     -DARROW_HDFS=OFF \
     -DARROW_BOOST_USE_SHARED=OFF \

docs/source/developers/cpp.rst

@@ -152,9 +152,14 @@ By default, the C++ build system creates a fairly minimal build. We have
 several optional system components which you can opt into building by passing
 boolean flags to ``cmake``.
 
+* ``-DARROW_COMPUTE=ON``: Computational kernel functions and other support
+* ``-DARROW_CSV=ON``: CSV reader module
 * ``-DARROW_CUDA=ON``: CUDA integration for GPU development. Depends on NVIDIA
   CUDA toolkit. The CUDA toolchain used to build the library can be customized
   by using the ``$CUDA_HOME`` environment variable.
+* ``-DARROW_DATASET=ON``: Dataset API, implies the Filesystem API
+* ``-DARROW_FILESYSTEM=ON``: Filesystem API for accessing local and remote
+  filesystems
 * ``-DARROW_FLIGHT=ON``: Arrow Flight RPC system, which depends at least on
   gRPC
 * ``-DARROW_GANDIVA=ON``: Gandiva expression compiler, depends on LLVM,
@@ -163,14 +168,17 @@ boolean flags to ``cmake``.
 * ``-DARROW_HDFS=ON``: Arrow integration with libhdfs for accessing the Hadoop
   Filesystem
 * ``-DARROW_HIVESERVER2=ON``: Client library for HiveServer2 database protocol
+* ``-DARROW_JSON=ON``: JSON reader module
 * ``-DARROW_ORC=ON``: Arrow integration with Apache ORC
 * ``-DARROW_PARQUET=ON``: Apache Parquet libraries and Arrow integration
 * ``-DARROW_PLASMA=ON``: Plasma Shared Memory Object Store
 * ``-DARROW_PLASMA_JAVA_CLIENT=ON``: Build Java client for Plasma
 * ``-DARROW_PYTHON=ON``: Arrow Python C++ integration library (required for
   building pyarrow). This library must be built against the same Python version
-  for which you are building pyarrow, e.g. Python 2.7 or Python 3.6. NumPy must
-  also be installed.
+  for which you are building pyarrow. NumPy must also be installed. Enabling
+  this option also enables ``ARROW_COMPUTE``, ``ARROW_CSV``, ``ARROW_DATASET``,
+  ``ARROW_FILESYSTEM``, ``ARROW_HDFS``, and ``ARROW_JSON``.
+* ``-DARROW_S3=ON``: Support for Amazon S3-compatible filesystems
 * ``-DARROW_WITH_BZ2=ON``: Build support for BZ2 compression
 * ``-DARROW_WITH_ZLIB=ON``: Build suport for zlib (gzip) compression
 * ``-DARROW_WITH_LZ4=ON``: Build suport for lz4 compression
@@ -181,7 +189,6 @@ boolean flags to ``cmake``.
 Some features of the core Arrow shared library can be switched off for improved
 build times if they are not required for your application:
 
-* ``-DARROW_COMPUTE=ON``: build the in-memory analytics module
 * ``-DARROW_IPC=ON``: build the IPC extensions
 
 CMake version requirements

python/manylinux1/README.md

@@ -38,7 +38,7 @@ use `PYTHON_VERSION="2.7"` with `UNICODE_WIDTH=32`):
 
 ```bash
 # Build the python packages
-docker-compose run -e PYTHON_VERSION="2.7" -e UNICODE_WIDTH=16 python-manylinux1
+docker-compose run -e PYTHON_VERSION="2.7" -e UNICODE_WIDTH=16 centos-python-manylinux1
 # Now the new packages are located in the dist/ folder
 ls -l dist/
 ```

python/manylinux2010/README.md

@@ -42,7 +42,7 @@ use `PYTHON_VERSION="2.7"` with `UNICODE_WIDTH=32`):
 
 ```bash
 # Build the python packages
-docker-compose run -e PYTHON_VERSION="2.7" -e UNICODE_WIDTH=16 python-manylinux2010
+docker-compose run -e PYTHON_VERSION="2.7" -e UNICODE_WIDTH=16 centos-python-manylinux2010
 # Now the new packages are located in the dist/ folder
 ls -l dist/
 ```