mirror of https://github.com/mongodb/mongo
179 lines
5.5 KiB
Python
179 lines
5.5 KiB
Python
# Copyright (C) 2024-present MongoDB, Inc.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the Server Side Public License, version 1,
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# as published by MongoDB, Inc.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# Server Side Public License for more details.
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#
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# You should have received a copy of the Server Side Public License
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# along with this program. If not, see
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# <http://www.mongodb.com/licensing/server-side-public-license>.
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#
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# As a special exception, the copyright holders give permission to link the
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# code of portions of this program with the OpenSSL library under certain
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# conditions as described in each individual source file and distribute
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# linked combinations including the program with the OpenSSL library. You
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# must comply with the Server Side Public License in all respects for
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# all of the code used other than as permitted herein. If you modify file(s)
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# with this exception, you may extend this exception to your version of the
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# file(s), but you are not obligated to do so. If you do not wish to do so,
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# delete this exception statement from your version. If you delete this
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# exception statement from all source files in the program, then also delete
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# it in the license file.
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#
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"""Define Query Solution tree (aka QSN tree) and parse it from query explain."""
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from __future__ import annotations
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from dataclasses import dataclass
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__all__ = ["Node", "build"]
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@dataclass
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class Node:
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"""Represent Query Solution node."""
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node_type: str
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plan_node_id: int
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children: list[Node]
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def print(self, level=0):
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"""Pretty print of the QSN tree."""
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print(f'{"| "*level}{self.node_type}, planNodeId: {self.plan_node_id}')
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for child in self.children:
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child.print(level + 1)
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def build(optimizer_plan: dict[str, any]) -> Node:
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"""Build QSN tree from query explain."""
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return parse_optimizer_node(optimizer_plan)
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def parse_optimizer_node(explain_node: dict[str, any]) -> Node:
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"""Recursively parse QSN from query explain's node."""
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children = get_children(explain_node)
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return Node(
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node_type=explain_node["stage"], plan_node_id=explain_node["planNodeId"], children=children
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)
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def get_children(explain_node: dict[str, any]) -> list[Node]:
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"""Get children nodes of the QSN."""
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if "inputStage" in explain_node:
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children = [parse_optimizer_node(explain_node["inputStage"])]
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elif "inputStages" in explain_node:
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children = [parse_optimizer_node(child) for child in explain_node["inputStages"]]
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else:
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children = []
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return children
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if __name__ == "__main__":
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import json
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explain = """
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{
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"explainVersion": "2",
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"queryPlanner": {
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"planCacheShapeHash": "5C2C3085",
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"planCacheKey": "9EB06642",
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"optimizationTimeMillis": 0,
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"maxIndexedOrSolutionsReached": false,
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"maxIndexedAndSolutionsReached": false,
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"maxScansToExplodeReached": false,
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"winningPlan": {
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"isCached": false,
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"queryPlan": {
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"stage": "FETCH",
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"planNodeId": 5,
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"inputStage": {
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"stage": "OR",
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"planNodeId": 4,
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"inputStages": [
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{
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"stage": "FETCH",
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"planNodeId": 2,
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"filter": {
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"as": {
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"$gt": 10
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}
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},
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"inputStage": {
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"stage": "IXSCAN",
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"planNodeId": 1,
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"keyPattern": {
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"as": 1,
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"mixed1": 1
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},
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"indexName": "as_1_mixed1_1",
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"isMultiKey": true,
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"multiKeyPaths": {
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"as": [
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"as"
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],
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"mixed1": []
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},
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"isUnique": false,
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"isSparse": false,
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"isPartial": false,
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"indexVersion": 2,
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"direction": "forward",
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"indexBounds": {
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"as": [
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"[-inf.0, 4)"
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],
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"mixed1": [
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"[MinKey, MaxKey]"
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]
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}
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}
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},
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{
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"stage": "IXSCAN",
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"planNodeId": 3,
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"keyPattern": {
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"as": 1,
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"mixed1": 1
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},
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"indexName": "as_1_mixed1_1",
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"isMultiKey": true,
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"multiKeyPaths": {
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"as": [
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"as"
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],
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"mixed1": []
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},
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"isUnique": false,
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"isSparse": false,
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"isPartial": false,
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"indexVersion": 2,
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"direction": "forward",
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"indexBounds": {
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"as": [
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"[4, 4]"
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],
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"mixed1": [
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"[MinKey, MaxKey]"
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]
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}
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}
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]
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}
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}
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}
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}
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}
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"""
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explain_json = json.loads(explain)
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qsn = build(explain_json["queryPlanner"]["winningPlan"]["queryPlan"])
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qsn.print()
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