python/benchmarks/parquet.py

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import shutil
import tempfile

import numpy as np
import pandas as pd

import pyarrow as pa
try:
    import pyarrow.parquet as pq
except ImportError:
    pq = None


class ParquetManifestCreation(object):
    """Benchmark creating a parquet manifest."""

    size = 10 ** 6
    tmpdir = None

    param_names = ('num_partitions', 'num_threads')
    params = [(10, 100, 1000), (1, 8)]

    def setup(self, num_partitions, num_threads):
        if pq is None:
            raise NotImplementedError("Parquet support not enabled")

        self.tmpdir = tempfile.mkdtemp('benchmark_parquet')
        rnd = np.random.RandomState(42)
        num1 = rnd.randint(0, num_partitions, size=self.size)
        num2 = rnd.randint(0, 1000, size=self.size)
        output_df = pd.DataFrame({'num1': num1, 'num2': num2})
        output_table = pa.Table.from_pandas(output_df)
        pq.write_to_dataset(output_table, self.tmpdir, ['num1'])

    def teardown(self, num_partitions, num_threads):
        if self.tmpdir is not None:
            shutil.rmtree(self.tmpdir)

    def time_manifest_creation(self, num_partitions, num_threads):
        pq.ParquetManifest(self.tmpdir, metadata_nthreads=num_threads)