mirror of
https://github.com/langchain-ai/datafusion.git
synced 2026-07-16 12:04:27 -04:00
Jiayu Liu
64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import pyarrow as pa
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import pytest
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from datafusion import ExecutionContext
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from datafusion import functions as f
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@pytest.fixture
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def df():
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ctx = ExecutionContext()
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# create a RecordBatch and a new DataFrame from it
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batch = pa.RecordBatch.from_arrays(
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[pa.array(["Hello", "World", "!"]), pa.array([4, 5, 6])],
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names=["a", "b"],
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)
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return ctx.create_dataframe([[batch]])
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def test_lit(df):
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"""test lit function"""
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df = df.select(
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f.lit(1),
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f.lit("1"),
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f.lit("OK"),
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f.lit(3.14),
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f.lit(True),
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f.lit(b"hello world"),
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)
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result = df.collect()
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assert len(result) == 1
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result = result[0]
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assert result.column(0) == pa.array([1] * 3)
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assert result.column(1) == pa.array(["1"] * 3)
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assert result.column(2) == pa.array(["OK"] * 3)
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assert result.column(3) == pa.array([3.14] * 3)
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assert result.column(4) == pa.array([True] * 3)
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assert result.column(5) == pa.array([b"hello world"] * 3)
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def test_lit_arith(df):
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"""test lit function within arithmatics"""
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df = df.select(f.lit(1) + f.col("b"), f.concat(f.col("a"), f.lit("!")))
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result = df.collect()
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assert len(result) == 1
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result = result[0]
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assert result.column(0) == pa.array([5, 6, 7])
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assert result.column(1) == pa.array(["Hello!", "World!", "!!"])
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