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Add benchmarks for object deduplication
Change-Id: I834e91d6a2474bfc67c504dc1bd0497c08869563
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@@ -17,6 +17,8 @@
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import numpy as np
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import pandas as pd
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import pandas.util.testing as tm
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import pyarrow as pa
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@@ -50,6 +52,25 @@ class PandasConversionsFromArrow(PandasConversionsBase):
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self.arrow_data.to_pandas()
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class ToPandasStrings(object):
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params = ((100, 10000, 100000, 500000),)
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string_length = 25
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num_elements = 1000 * 1000
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def setup(self, nunique):
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unique_values = [tm.rands(self.string_length) for i in range(nunique)]
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values = unique_values * (self.num_elements // nunique)
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self.arr = pa.array(values, type=pa.string())
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self.table = pa.Table.from_arrays([self.arr], ['f0'])
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def time_to_pandas_dedup(self, nunique):
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self.arr.to_pandas()
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def time_to_pandas_no_dedup(self, nunique):
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self.arr.to_pandas(deduplicate_objects=False)
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class ZeroCopyPandasRead(object):
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def setup(self):
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@@ -192,11 +192,15 @@ def _iterate_python_module_paths(package_name):
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for finder in sys.meta_path:
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try:
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spec = finder.find_spec(absolute_name, None)
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except AttributeError:
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except (AttributeError, TypeError):
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# On Travis (Python 3.5) the above produced:
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# AttributeError: 'VendorImporter' object has no
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# attribute 'find_spec'
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#
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# ARROW-4117: When running "asv dev", TypeError is raised
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# due to the meta-importer
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spec = None
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if spec is not None:
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break
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