ARROW-284: Disable arrow_parquet module in Travis CI to triage builds

Author: Wes McKinney <wes.mckinney@twosigma.com>

Closes #132 from wesm/ARROW-284 and squashes the following commits:

e3410cf [Wes McKinney] Install miniconda in $HOME to avoid long prefix issues in conda-build 2.0
9fd94f5 [Wes McKinney] Do not run death test when valgrind is enabled. Gracefully skip pyarrow.parquet when ARROW_PARQUET=off
ccf56f8 [Wes McKinney] Disable arrow_parquet module in Travis CI

Author: wesm

ci/travis_before_script_cpp.sh

@@ -25,8 +25,8 @@ echo $GTEST_HOME
 
 CMAKE_COMMON_FLAGS="\
 -DARROW_BUILD_BENCHMARKS=ON \
--DARROW_PARQUET=ON \
--DARROW_HDFS=on \
+-DARROW_PARQUET=OFF \
+-DARROW_HDFS=ON \
 -DCMAKE_INSTALL_PREFIX=$ARROW_CPP_INSTALL"
 
 if [ $TRAVIS_OS_NAME == "linux" ]; then

ci/travis_install_conda.sh

@@ -9,7 +9,9 @@ else
 fi
 
 wget -O miniconda.sh $MINICONDA_URL
-export MINICONDA=$TRAVIS_BUILD_DIR/miniconda
+
+export MINICONDA=$HOME/miniconda
+
 bash miniconda.sh -b -p $MINICONDA
 export PATH="$MINICONDA/bin:$PATH"
 conda update -y -q conda

ci/travis_script_python.sh

@@ -5,7 +5,7 @@ set -e
 PYTHON_DIR=$TRAVIS_BUILD_DIR/python
 
 # Re-use conda installation from C++
-export MINICONDA=$TRAVIS_BUILD_DIR/miniconda
+export MINICONDA=$HOME/miniconda
 export PATH="$MINICONDA/bin:$PATH"
 export PARQUET_HOME=$MINICONDA
 
@@ -31,7 +31,9 @@ python_version_tests() {
   # Expensive dependencies install from Continuum package repo
   conda install -y pip numpy pandas cython
 
-  conda install -y parquet-cpp arrow-cpp -c apache/channel/dev
+  # conda install -y parquet-cpp
+
+  conda install -y arrow-cpp -c apache/channel/dev
 
   # Other stuff pip install
   pip install -r requirements.txt

cpp/cmake_modules/FindParquet.cmake

@@ -72,6 +72,7 @@ else ()
 endif ()
 
 mark_as_advanced(
+  PARQUET_FOUND
   PARQUET_INCLUDE_DIR
   PARQUET_LIBS
   PARQUET_LIBRARIES

cpp/src/arrow/util/memory-pool-test.cc

@@ -46,6 +46,10 @@ TEST(DefaultMemoryPool, OOM) {
   ASSERT_RAISES(OutOfMemory, pool->Allocate(to_alloc, &data));
 }
 
+// Death tests and valgrind are known to not play well 100% of the time. See
+// googletest documentation
+#ifndef ARROW_VALGRIND
+
 TEST(DefaultMemoryPoolDeathTest, FreeLargeMemory) {
   MemoryPool* pool = default_memory_pool();
 
@@ -60,4 +64,6 @@ TEST(DefaultMemoryPoolDeathTest, FreeLargeMemory) {
   pool->Free(data, 100);
 }
 
+#endif // ARROW_VALGRIND
+
 }  // namespace arrow

python/CMakeLists.txt

@@ -340,8 +340,10 @@ if (PYARROW_BUILD_TESTS)
 endif()
 
 ## Parquet
-find_package(Parquet REQUIRED)
-include_directories(SYSTEM ${PARQUET_INCLUDE_DIR})
+find_package(Parquet)
+if(PARQUET_FOUND)
+  include_directories(SYSTEM ${PARQUET_INCLUDE_DIR})
+endif()
 
 ## Arrow
 find_package(Arrow REQUIRED)
@@ -350,8 +352,6 @@ ADD_THIRDPARTY_LIB(arrow
   SHARED_LIB ${ARROW_SHARED_LIB})
 ADD_THIRDPARTY_LIB(arrow_io
   SHARED_LIB ${ARROW_IO_SHARED_LIB})
-ADD_THIRDPARTY_LIB(arrow_parquet
-  SHARED_LIB ${ARROW_PARQUET_SHARED_LIB})
 
 ############################################################
 # Linker setup
@@ -418,6 +418,16 @@ endif()
 add_subdirectory(src/pyarrow)
 add_subdirectory(src/pyarrow/util)
 
+set(CYTHON_EXTENSIONS
+  array
+  config
+  error
+  io
+  scalar
+  schema
+  table
+)
+
 set(PYARROW_SRCS
   src/pyarrow/common.cc
   src/pyarrow/config.cc
@@ -431,9 +441,19 @@ set(PYARROW_SRCS
 set(LINK_LIBS
   arrow
   arrow_io
-  arrow_parquet
 )
 
+if(PARQUET_FOUND AND ARROW_PARQUET_FOUND)
+  ADD_THIRDPARTY_LIB(arrow_parquet
+    SHARED_LIB ${ARROW_PARQUET_SHARED_LIB})
+  set(LINK_LIBS
+    ${LINK_LIBS}
+    arrow_parquet)
+  set(CYTHON_EXTENSIONS
+    ${CYTHON_EXTENSIONS}
+    parquet)
+endif()
+
 SET(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
 
 add_library(pyarrow SHARED
@@ -448,17 +468,6 @@ endif()
 # Setup and build Cython modules
 ############################################################
 
-set(CYTHON_EXTENSIONS
-  array
-  config
-  error
-  io
-  parquet
-  scalar
-  schema
-  table
-)
-
 foreach(module ${CYTHON_EXTENSIONS})
     string(REPLACE "." ";" directories ${module})
     list(GET directories -1 module_name)

python/cmake_modules/FindArrow.cmake

@@ -52,7 +52,7 @@ find_library(ARROW_IO_LIB_PATH NAMES arrow_io
   ${ARROW_SEARCH_LIB_PATH}
   NO_DEFAULT_PATH)
 
-if (ARROW_INCLUDE_DIR AND ARROW_LIB_PATH AND ARROW_PARQUET_LIB_PATH)
+if (ARROW_INCLUDE_DIR AND ARROW_LIB_PATH)
   set(ARROW_FOUND TRUE)
   set(ARROW_LIB_NAME libarrow)
   set(ARROW_IO_LIB_NAME libarrow_io)
@@ -64,18 +64,9 @@ if (ARROW_INCLUDE_DIR AND ARROW_LIB_PATH AND ARROW_PARQUET_LIB_PATH)
 
   set(ARROW_IO_STATIC_LIB ${ARROW_SEARCH_LIB_PATH}/${ARROW_IO_LIB_NAME}.a)
   set(ARROW_IO_SHARED_LIB ${ARROW_LIBS}/${ARROW_IO_LIB_NAME}${CMAKE_SHARED_LIBRARY_SUFFIX})
-
-  set(ARROW_PARQUET_STATIC_LIB ${ARROW_SEARCH_LIB_PATH}/${ARROW_PARQUET_LIB_NAME}.a)
-  set(ARROW_PARQUET_SHARED_LIB ${ARROW_LIBS}/${ARROW_PARQUET_LIB_NAME}${CMAKE_SHARED_LIBRARY_SUFFIX})
-else ()
-  set(ARROW_FOUND FALSE)
-endif ()
-
-if (ARROW_FOUND)
   if (NOT Arrow_FIND_QUIETLY)
     message(STATUS "Found the Arrow core library: ${ARROW_LIB_PATH}")
     message(STATUS "Found the Arrow IO library: ${ARROW_IO_LIB_PATH}")
-    message(STATUS "Found the Arrow Parquet library: ${ARROW_PARQUET_LIB_PATH}")
   endif ()
 else ()
   if (NOT Arrow_FIND_QUIETLY)
@@ -88,8 +79,23 @@ else ()
       message(STATUS "${ARROW_ERR_MSG}")
     endif (Arrow_FIND_REQUIRED)
   endif ()
+  set(ARROW_FOUND FALSE)
 endif ()
 
+if(ARROW_PARQUET_LIB_PATH)
+  set(ARROW_PARQUET_FOUND TRUE)
+  set(ARROW_PARQUET_STATIC_LIB ${ARROW_SEARCH_LIB_PATH}/${ARROW_PARQUET_LIB_NAME}.a)
+  set(ARROW_PARQUET_SHARED_LIB ${ARROW_LIBS}/${ARROW_PARQUET_LIB_NAME}${CMAKE_SHARED_LIBRARY_SUFFIX})
+  if (NOT Arrow_FIND_QUIETLY)
+    message(STATUS "Found the Arrow Parquet library: ${ARROW_PARQUET_LIB_PATH}")
+  endif ()
+else()
+  if (NOT Arrow_FIND_QUIETLY)
+    message(STATUS "Could not find Arrow Parquet library")
+  endif()
+  set(ARROW_PARQUET_FOUND FALSE)
+endif()
+
 mark_as_advanced(
   ARROW_INCLUDE_DIR
   ARROW_LIBS

python/pyarrow/tests/test_io.py

@@ -46,6 +46,7 @@ def hdfs_test_client():
 
 HDFS_TMP_PATH = '/tmp/pyarrow-test-{0}'.format(random.randint(0, 1000))
 
+
 @pytest.fixture(scope='session')
 def hdfs(request):
     fixture = hdfs_test_client()

python/pyarrow/tests/test_parquet.py

@@ -15,33 +15,45 @@
 # specific language governing permissions and limitations
 # under the License.
 
-from pyarrow.compat import unittest
-import pyarrow as arrow
-import pyarrow.parquet
+import pytest
 
-A = arrow
+import pyarrow as A
 
 import numpy as np
-import os.path
 import pandas as pd
 
 import pandas.util.testing as pdt
 
+try:
+    import pyarrow.parquet as pq
+    HAVE_PARQUET = True
+except ImportError:
+    HAVE_PARQUET = False
 
+# XXX: Make Parquet tests opt-in rather than skip-if-not-build
+parquet = pytest.mark.skipif(not HAVE_PARQUET,
+                             reason='Parquet support not built')
+
+
+@parquet
 def test_single_pylist_column_roundtrip(tmpdir):
     for dtype in [int, float]:
-        filename = tmpdir.join('single_{}_column.parquet'.format(dtype.__name__))
+        filename = tmpdir.join('single_{}_column.parquet'
+                               .format(dtype.__name__))
         data = [A.from_pylist(list(map(dtype, range(5))))]
         table = A.Table.from_arrays(('a', 'b'), data, 'table_name')
         A.parquet.write_table(table, filename.strpath)
-        table_read = pyarrow.parquet.read_table(filename.strpath)
-        for col_written, col_read in zip(table.itercolumns(), table_read.itercolumns()):
+        table_read = pq.read_table(filename.strpath)
+        for col_written, col_read in zip(table.itercolumns(),
+                                         table_read.itercolumns()):
             assert col_written.name == col_read.name
             assert col_read.data.num_chunks == 1
             data_written = col_written.data.chunk(0)
             data_read = col_read.data.chunk(0)
             assert data_written.equals(data_read)
 
+
+@parquet
 def test_pandas_parquet_2_0_rountrip(tmpdir):
     size = 10000
     np.random.seed(0)
@@ -58,17 +70,20 @@ def test_pandas_parquet_2_0_rountrip(tmpdir):
         'float64': np.arange(size, dtype=np.float64),
         'bool': np.random.randn(size) > 0,
         # Pandas only support ns resolution, Arrow at the moment only ms
-        'datetime': np.arange("2016-01-01T00:00:00.001", size, dtype='datetime64[ms]'),
+        'datetime': np.arange("2016-01-01T00:00:00.001", size,
+                              dtype='datetime64[ms]'),
         'str': [str(x) for x in range(size)],
         'str_with_nulls': [None] + [str(x) for x in range(size - 2)] + [None]
     })
     filename = tmpdir.join('pandas_rountrip.parquet')
     arrow_table = A.from_pandas_dataframe(df, timestamps_to_ms=True)
     A.parquet.write_table(arrow_table, filename.strpath, version="2.0")
-    table_read = pyarrow.parquet.read_table(filename.strpath)
+    table_read = pq.read_table(filename.strpath)
     df_read = table_read.to_pandas()
     pdt.assert_frame_equal(df, df_read)
 
+
+@parquet
 def test_pandas_parquet_1_0_rountrip(tmpdir):
     size = 10000
     np.random.seed(0)
@@ -88,11 +103,10 @@ def test_pandas_parquet_1_0_rountrip(tmpdir):
     filename = tmpdir.join('pandas_rountrip.parquet')
     arrow_table = A.from_pandas_dataframe(df)
     A.parquet.write_table(arrow_table, filename.strpath, version="1.0")
-    table_read = pyarrow.parquet.read_table(filename.strpath)
+    table_read = pq.read_table(filename.strpath)
     df_read = table_read.to_pandas()
 
     # We pass uint32_t as int64_t if we write Parquet version 1.0
     df['uint32'] = df['uint32'].values.astype(np.int64)
 
     pdt.assert_frame_equal(df, df_read)
-

python/pyarrow/tests/test_table.py

@@ -16,11 +16,7 @@
 # under the License.
 
 from pyarrow.compat import unittest
-import pyarrow as arrow
-
-A = arrow
-
-import pandas as pd
+import pyarrow as A
 
 
 class TestRowBatch(unittest.TestCase):
@@ -76,4 +72,3 @@ def test_pandas(self):
         assert set(df.columns) == set(('a', 'b'))
         assert df.shape == (5, 2)
         assert df.ix[0, 'b'] == -10
-