georgia-tech-db / eva / #725

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62.5
/eva/executor/explain_executor.py
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# coding=utf-8
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# Copyright 2018-2022 EVA
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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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import pandas as pd
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from eva.executor.abstract_executor import AbstractExecutor




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from eva.models.storage.batch import Batch




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from eva.plan_nodes.abstract_plan import AbstractPlan




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from eva.plan_nodes.explain_plan import ExplainPlan




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class ExplainExecutor(AbstractExecutor):




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    def __init__(self, node: ExplainPlan):




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        super().__init__(node)




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    def exec(self, *args, **kwargs):




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        # Traverse optimized physical plan, which is commonly supported.










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        # Logical plan can be also printted by passing explainable_opr










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        # attribute of the node, but is not done for now.










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        plan_str = self._exec(self._node.children[0], 0)




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        yield Batch(pd.DataFrame([plan_str]))




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    def _exec(self, node: AbstractPlan, depth: int):




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        cur_str = " " * depth * 4 + "|__ " + str(node.__class__.__name__) + "\n"




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        for child in node.children:




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            cur_str += self._exec(child, depth + 1)




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        return cur_str




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