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test_context.py
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75 lines (59 loc) · 2.21 KB
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from ballista import BallistaSessionContext, setup_test_cluster
from datafusion import col, lit
import pytest
import pyarrow as pa
@pytest.fixture
def ctx():
(address, port) = setup_test_cluster()
return BallistaSessionContext(address=f"df://{address}:{port}")
def test_select_one(ctx):
df = ctx.sql("SELECT 1")
batches = df.collect()
assert len(batches) == 1
def test_read_csv(ctx):
df = ctx.read_csv("testdata/test.csv", has_header=True)
batches = df.collect()
assert len(batches) == 1
assert len(batches[0]) == 5
def test_register_csv(ctx):
ctx.register_csv("test", "testdata/test.csv", has_header=True)
df = ctx.sql("SELECT * FROM test")
batches = df.collect()
assert len(batches) == 1
assert len(batches[0]) == 5
def test_read_parquet(ctx):
df = ctx.read_parquet("testdata/test.parquet")
batches = df.collect()
assert len(batches) == 1
assert len(batches[0]) == 8
def test_register_parquet(ctx):
ctx.register_parquet("test", "testdata/test.parquet")
df = ctx.sql("SELECT * FROM test")
batches = df.collect()
assert len(batches) == 1
assert len(batches[0]) == 8
def test_read_dataframe_api(ctx):
df = (
ctx.read_csv("testdata/test.csv", has_header=True)
.select("a", "b")
.filter(col("a") > lit(2))
)
result = df.collect()[0]
assert result.column(0) == pa.array([3, 4, 5])
assert result.column(1) == pa.array([-4, -5, -6])