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149 lines (123 loc) · 4.46 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.
import pyarrow as pa
import pytest
from datafusion import SessionContext
from datafusion import substrait as ss
@pytest.fixture
def ctx():
return SessionContext()
def test_substrait_serialization(ctx):
batch = pa.RecordBatch.from_arrays(
[pa.array([1, 2, 3]), pa.array([4, 5, 6])],
names=["a", "b"],
)
ctx.register_record_batches("t", [[batch]])
assert ctx.catalog().schema().names() == {"t"}
# For now just make sure the method calls blow up
substrait_plan = ss.Serde.serialize_to_plan("SELECT * FROM t", ctx)
substrait_bytes = substrait_plan.encode()
assert isinstance(substrait_bytes, bytes)
substrait_bytes = ss.Serde.serialize_bytes("SELECT * FROM t", ctx)
substrait_plan = ss.Serde.deserialize_bytes(substrait_bytes)
logical_plan = ss.Consumer.from_substrait_plan(ctx, substrait_plan)
# demonstrate how to create a DataFrame from a deserialized logical plan
df = ctx.create_dataframe_from_logical_plan(logical_plan)
substrait_plan = ss.Producer.to_substrait_plan(df.logical_plan(), ctx)
@pytest.mark.parametrize("path_to_str", [True, False])
def test_substrait_file_serialization(ctx, tmp_path, path_to_str):
batch = pa.RecordBatch.from_arrays(
[pa.array([1, 2, 3]), pa.array([4, 5, 6])],
names=["a", "b"],
)
ctx.register_record_batches("t", [[batch]])
assert ctx.catalog().schema().names() == {"t"}
path = tmp_path / "substrait_plan"
path = str(path) if path_to_str else path
sql_command = "SELECT * FROM T"
ss.Serde.serialize(sql_command, ctx, path)
expected_plan = ss.Serde.serialize_to_plan(sql_command, ctx)
actual_plan = ss.Serde.deserialize(path)
expected_logical_plan = ss.Consumer.from_substrait_plan(ctx, expected_plan)
expected_actual_plan = ss.Consumer.from_substrait_plan(ctx, actual_plan)
assert str(expected_logical_plan) == str(expected_actual_plan)
def test_json_processing_round_trip(ctx: SessionContext):
ctx.register_record_batches("t", [[pa.record_batch({"a": [1]})]])
original_logical_plan = ctx.sql("SELECT * FROM t").logical_plan()
substrait_plan = ss.Producer.to_substrait_plan(original_logical_plan, ctx)
json_plan = substrait_plan.to_json()
expected = """\
"relations": [
{
"root": {
"input": {
"project": {
"common": {
"emit": {
"outputMapping": [
1
]
}
},
"input": {
"read": {
"baseSchema": {
"names": [
"a"
],
"struct": {
"types": [
{
"i64": {
"nullability": "NULLABILITY_NULLABLE"
}
}
],
"nullability": "NULLABILITY_REQUIRED"
}
},
"namedTable": {
"names": [
"t"
]
}
}
},
"expressions": [
{
"selection": {
"directReference": {
"structField": {}
},
"rootReference": {}
}
}
]
}
},
"names": [
"a"
]
}
}
]"""
assert expected in json_plan
round_trip_substrait_plan = ss.Plan.from_json(json_plan)
round_trip_logical_plan = ss.Consumer.from_substrait_plan(
ctx, round_trip_substrait_plan
)
assert round_trip_logical_plan == original_logical_plan