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Wes McKinney committed 2019-10-09 09:12:42 -05:00
1 parent bfb08d63ef
commit dbb4b8d703
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docs/source/developers/cpp.rst
+4 -4
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@@ -169,16 +169,16 @@ boolean flags to ``cmake``.
* ``-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.
* ``-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
* ``-DARROW_WITH_SNAPPY=ON``: Build suport for Snappy compression
* ``-DARROW_WITH_ZSTD=ON``: Build suport for ZSTD compression
* ``-DARROW_WITH_BROTLI=ON``: Build suport for Brotli compression
* ``-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.
Some features of the core Arrow shared library can be switched off for improved
build times if they are not required for your application:
docs/source/developers/python.rst
+4 -2
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@@ -269,6 +269,7 @@ Now build and install the Arrow C++ libraries:
-DARROW_FLIGHT=ON \
-DARROW_GANDIVA=ON \
-DARROW_ORC=ON \
-DARROW_WITH_BZ2=ON \
-DARROW_WITH_ZLIB=ON \
-DARROW_WITH_ZSTD=ON \
-DARROW_WITH_LZ4=ON \
@@ -291,8 +292,9 @@ to ``OFF``:
* ``ARROW_ORC``: Support for Apache ORC file format
* ``ARROW_PARQUET``: Support for Apache Parquet file format
* ``ARROW_PLASMA``: Shared memory object store
* ``ARROW_WITH_{ZLIB, ZSTD, LZ4, SNAPPY, BROTLI}``: Build support for
compression libraries available for Parquet files
* ``ARROW_WITH_{BZ2, ZLIB, ZSTD, LZ4, SNAPPY, BROTLI}``: Build support for
compression libraries, used for reading and writing Parquet files and other
things.
If multiple versions of Python are installed in your environment, you may have
to pass additional parameters to cmake so that it can find the right