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georgia-tech-db / eva / #832

12 Oct 2023 08:31AM UTC coverage: 0.0% (-68.5%) from 68.493%
#832

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/evadb/executor/seq_scan_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 (
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    apply_predicate,
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    apply_project,
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    instrument_function_expression_cost,
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)
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from evadb.models.storage.batch import Batch
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from evadb.plan_nodes.seq_scan_plan import SeqScanPlan
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class SequentialScanExecutor(AbstractExecutor):
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    """
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    Applies predicates to filter the frames which satisfy the condition
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    Arguments:
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        node (AbstractPlan): The SequentialScanPlan
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    """
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    def __init__(self, db: EvaDBDatabase, node: SeqScanPlan):
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        super().__init__(db, node)
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        self.predicate = node.predicate
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        self.project_expr = node.columns
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        self.alias = node.alias
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    def exec(self, *args, **kwargs) -> Iterator[Batch]:
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        child_executor = self.children[0]
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        for batch in child_executor.exec(**kwargs):
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            # apply alias to the batch
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            # id, data -> myvideo.id, myvideo.data
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            if self.alias:
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                batch.modify_column_alias(self.alias)
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            # We do the predicate first
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            batch = apply_predicate(batch, self.predicate)
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            # Then do project
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            batch = apply_project(batch, self.project_expr)
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            if not batch.empty():
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                yield batch
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        # instrument required stats
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        if self.predicate or self.project_expr:
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            catalog = self.catalog()
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            instrument_function_expression_cost(self.predicate, catalog)
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            instrument_function_expression_cost(self.project_expr, catalog)
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