SERVER-108487 Integrate the data generator with jstests (#39510)

GitOrigin-RevId: 4feb3238cfe3d6672b5c51f57bf642af60519b28
This commit is contained in:
Philip Stoev 2025-08-05 16:06:08 +02:00 committed by MongoDB Bot
parent 189bdb2dfe
commit 8e69410fa0
8 changed files with 224 additions and 2 deletions

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@ -214,6 +214,7 @@ tasks:
- "src/src/mongo/db/modules/enterprise/docs/**"
- "src/src/mongo/db/modules/enterprise/jstests/**"
- "src/src/mongo/db/modules/subscription/jstests/**"
- "src/src/mongo/db/query/benchmark/data_generator/**"
- "src/src/mongo/db/query/query_tester/tests/**"
- "src/src/mongo/util/options_parser/test_config_files/**"
- "src/src/mongo/util/version/**"

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@ -0,0 +1,78 @@
import {getPython3Binary} from "jstests/libs/python.js";
import {extractUUIDFromObject} from "jstests/libs/uuid_util.js";
/**
* Allows the execution of the python data generator from
* src/mongo/db/query/benchmark/data_generator from within a MongoDB jstest.
*
* For more information on the generator itself, see
* src/mongo/db/query/benchmark/data_generator/README.md
*
* For an example of how to use this class, see
* jstests/noPassthroughWithMongod/query/data_generator_integration.js
* @class
*/
export class DataGenerator {
static PROGRAM_PATH = 'src/mongo/db/query/benchmark/data_generator/driver.py';
constructor({
db = null,
module = null,
seed = null,
} = {}) {
if (db == null) {
throw new Error('A db object must be provided to the DataGenerator constructor.');
} else {
this.dbName = db.getName();
this.uri = 'mongodb://' + db.getMongo().host;
}
const tmpDir = (_getEnv("TMPDIR") || _getEnv("TMP_DIR") || "/tmp");
const randomUUID = extractUUIDFromObject(UUID());
this.out = tmpDir + '/data_generator_' + randomUUID;
if (module == null) {
throw new Error(
'A data generator module name must be provided to DataGenerator constructor.');
} else {
this.module = module;
}
this.seed = seed;
}
execute({spec = null, size = null, indices = null} = {}) {
let args = [
getPython3Binary(),
DataGenerator.PROGRAM_PATH,
'--uri',
this.uri,
'--db',
this.dbName,
'--out',
this.out
];
if (spec == null || size == null) {
throw new Error('Both specs and size must be provided to DataGenerator.execute()');
}
args.push("--size", size);
if (indices !== null) {
args.push('--indices', indices);
}
if (this.seed !== null) {
args.push('--seed', this.seed);
}
args.push(this.module, spec);
assert.eq(runNonMongoProgram(...args), 0);
}
cleanup() {
removeFile(this.out);
}
}

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@ -0,0 +1,21 @@
/**
* A simple test for the DataGenerator class shows how to use it to call
* the data generator Python script located at src/mongo/db/query/benchmark/data_generator
*
* See src/mongo/db/query/benchmark/data_generator/README.md for more information.
*/
import {DataGenerator} from "jstests/libs/query/data_generator.js";
const dg = new DataGenerator({db: db, module: 'specs.test', seed: 1});
try {
const collName = 'Test';
const size = 10;
dg.execute({spec: collName, size: size, indices: 'test_index'});
assert.eq(db[collName].find({i: {$exists: true}}).count(), size);
assert.eq(db[collName].getIndexes().length, 2); // _id and i_idx test index
} finally {
dg.cleanup();
}

68
poetry.lock generated
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@ -2314,6 +2314,72 @@ files = [
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]
[[package]]
name = "numpy"
version = "2.2.6"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.10"
groups = ["main"]
markers = "platform_machine != \"s390x\" and platform_machine != \"ppc64le\" or platform_machine == \"s390x\" or platform_machine == \"ppc64le\""
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]
[[package]]
name = "oauthlib"
version = "3.2.2"
@ -5497,4 +5563,4 @@ libdeps = ["cxxfilt", "eventlet", "flask", "flask-cors", "gevent", "lxml", "prog
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<4.0"
content-hash = "6d093a5822e5564b90067b272d6fd8b054d44b4071565bbd811d7e12d6e342ca"
content-hash = "35359c99056176eb8c0e366f8e66a05bc2d47b6aa8be7c328babe0a01c943925"

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@ -29,6 +29,7 @@ dependencies = [
"pympler",
"faker (==37.1.0)",
"pymongo (==4.12.0)",
"numpy (==2.2.6)",
]
[tool.poetry.dependencies]

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@ -252,7 +252,7 @@ async def main():
if hasattr(module, index_set_name):
index_set = getattr(module, index_set_name)
indices = index_set() if callable(index_set) else index_set
database_instance.database.get_collection(collection_name).create_indexes(
await database_instance.database.get_collection(collection_name).create_indexes(
indices
)
else:

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@ -9,3 +9,8 @@ py_library(
name = "employee",
srcs = ["employee.py"],
)
py_library(
name = "test",
srcs = ["test.py"],
)

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@ -0,0 +1,50 @@
# Copyright (C) 2025-present MongoDB, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the Server Side Public License, version 1,
# as published by MongoDB, Inc.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# Server Side Public License for more details.
#
# You should have received a copy of the Server Side Public License
# along with this program. If not, see
# <http://www.mongodb.com/licensing/server-side-public-license>.
#
# As a special exception, the copyright holders give permission to link the
# code of portions of this program with the OpenSSL library under certain
# conditions as described in each individual source file and distribute
# linked combinations including the program with the OpenSSL library. You
# must comply with the Server Side Public License in all respects for
# all of the code used other than as permitted herein. If you modify file(s)
# with this exception, you may extend this exception to your version of the
# file(s), but you are not obligated to do so. If you do not wish to do so,
# delete this exception statement from your version. If you delete this
# exception statement from all source files in the program, then also delete
# it in the license file.
"""
Example collection spec used for smoke tests of the generator itself.
"""
import dataclasses
import faker
import pymongo
from datagen.util import Specification
@dataclasses.dataclass
class Test:
i: Specification(int)
@staticmethod
def compute_il(fkr: faker.proxy.Faker) -> float:
return 1
def test_index() -> list[pymongo.IndexModel]:
return [
pymongo.IndexModel(keys="i", name="i_idx"),
]