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georgia-tech-db / eva / b7e09b55-9333-4c49-b273-87a69e5c463f

05 Sep 2023 11:42PM UTC coverage: 74.515% (-19.0%) from 93.55%
b7e09b55-9333-4c49-b273-87a69e5c463f

Pull #1050

circle-ci

jiashenC
fix: add missing needed file (#1046)
Pull Request #1050: feat: sync master staging

768 of 768 new or added lines in 96 files covered. (100.0%)

8757 of 11752 relevant lines covered (74.51%)

0.75 hits per line

Source File
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55.0
/evadb/executor/nested_loop_join_executor.py
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# coding=utf-8
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# Copyright 2018-2023 EvaDB
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Iterator
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from evadb.database import EvaDBDatabase
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from evadb.executor.abstract_executor import AbstractExecutor
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from evadb.executor.executor_utils import apply_predicate
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from evadb.models.storage.batch import Batch
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from evadb.plan_nodes.nested_loop_join_plan import NestedLoopJoinPlan
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class NestedLoopJoinExecutor(AbstractExecutor):
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    def __init__(self, db: EvaDBDatabase, node: NestedLoopJoinPlan):
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        super().__init__(db, node)
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        self.predicate = node.join_predicate
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    def exec(self, *args, **kwargs) -> Iterator[Batch]:
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        outer = self.children[0]
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        inner = self.children[1]
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        for row1 in outer.exec(**kwargs):
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            for row2 in inner.exec(**kwargs):
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                result_batch = Batch.join(row1, row2)
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                result_batch.reset_index()
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                result_batch = apply_predicate(
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                    result_batch, self.predicate, self.catalog()
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                )
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                if not result_batch.empty():
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                    yield result_batch
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