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tests/benchmarks/test_arrow.py

Lines changed: 27 additions & 36 deletions
Original file line numberDiff line numberDiff line change
@@ -22,39 +22,30 @@ def test_unique(series_with_client):
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wait(result, client, 10 * 60)
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# def test_contains(small_client):
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# """String contains"""
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# memory = cluster_memory(small_client)
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# df = timeseries_of_size(memory)
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# s = df.name.astype(pd.StringDtype("pyarrow")).persist()
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# result = s.str.contains("a")
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# wait(result, small_client, 10 * 60)
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#
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#
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# def test_startswith(small_client):
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# """String starts with"""
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# memory = cluster_memory(small_client)
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# df = timeseries_of_size(memory)
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# s = df.name.astype(pd.StringDtype("pyarrow")).persist()
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# result = s.str.startswith("B")
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# wait(result, small_client, 10 * 60)
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#
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#
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# def test_filter(small_client):
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# """How fast can we filter a DataFrame?"""
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# memory = cluster_memory(small_client)
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# df = timeseries_of_size(memory)
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# df.name = df.name.astype(pd.StringDtype("pyarrow"))
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# df = df.persist()
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# name = df.head(1).name.iloc[0] # Get first name that appears
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# result = df[df.name == name]
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# wait(result, small_client, 10 * 60)
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#
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#
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# def test_value_counts(small_client):
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# """Value counts on string values"""
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# memory = cluster_memory(small_client)
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# df = timeseries_of_size(memory)
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# s = df.name.astype(pd.StringDtype("pyarrow")).persist()
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# result = s.value_counts()
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# wait(result, small_client, 10 * 60)
25+
def test_contains(series_with_client):
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"""String contains"""
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series, client = series_with_client
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result = series.str.contains("a")
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wait(result, client, 10 * 60)
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def test_startswith(series_with_client):
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"""String starts with"""
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series, client = series_with_client
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result = series.str.startswith("B")
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wait(result, client, 10 * 60)
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def test_filter(series_with_client):
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"""How fast can we filter the Series"""
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series, client = series_with_client
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name = series.iloc[0] # Get first name that appears
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result = series[series == name]
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wait(result, client, 10 * 60)
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def test_value_counts(series_with_client):
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"""Value counts on string values"""
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series, client = series_with_client
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result = series.value_counts()
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wait(result, client, 10 * 60)

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