Change metadata_vars if not to if ... is None

[truls-p]

Both None and {} evaluate to True when using if not metadata_vars. This caused us to loop over the environment variables unnecessarily. This provides a significant performance increase for large projects.

resolves #

Relates to #6073

Problem

Poor performance with large models.

I was trying to profile a large model and noticed get_metadata_vars is called many times and we were spending quite a bit of time in in a dictcomp. I then realised that whenever we do not have any environment variables with the "DBT_ENV_CUSTOM_ENV_" prefix the metadata_vars dictionary will be set to {} the first time get_metadata_vars is called. On subsequent calls, we continue to loop over the environment variables due to the if condition, if not metadata_vars, which evaluates to True for both None and {}.

Solution

Solution was to change if not metadata_vars to if metadata_vars is None. This ensures we only loop through the environment variables looking for the prefix once.

Here is a test that can be run and the pytest-benchmark results on my machine. Note that this test may take up to 30 min to complete. Please let me know if you think a shorter test (perhaps one that just ensures we do not unnecessarily loop through os.environ multiple times) should be included in this PR.

import pytest
import os

from dbt.tests.util import run_dbt
from dbt.tests.fixtures.project import write_project_files

import dbt.common.events.functions

from tests.fixtures.dbt_integration_project import dbt_integration_project  # noqa: F401
from tests.functional.graph_selection.fixtures import SelectionFixtures

NUM_TABLES = 500
metadata_vars = None
_METADATA_ENV_PREFIX = "DBT_ENV_CUSTOM_ENV_"


def run_schema_and_assert(project, include, exclude, expected_tests):
    # deps must run before seed
    run_dbt(["deps"])
    run_dbt(["seed"])
    results = run_dbt(["build", "--exclude", "never_selected"])
    assert len(results) == 18 + NUM_TABLES

    test_args = ["test"]
    if include:
        test_args += ["--select", include]
    if exclude:
        test_args += ["--exclude", exclude]
    test_results = run_dbt(test_args)

    ran_tests = sorted([test.node.name for test in test_results])
    expected_sorted = sorted(expected_tests)

    assert ran_tests == expected_sorted

def get_metadata_vars_is():
    global metadata_vars
    if metadata_vars is None:
        metadata_vars = {
            k[len(_METADATA_ENV_PREFIX) :]: v
            for k, v in os.environ.items()
            if k.startswith(_METADATA_ENV_PREFIX)
        }
    return metadata_vars

def get_metadata_vars_not():
    global metadata_vars
    if not metadata_vars:
        metadata_vars = {
            k[len(_METADATA_ENV_PREFIX) :]: v
            for k, v in os.environ.items()
            if k.startswith(_METADATA_ENV_PREFIX)
        }
    return metadata_vars

class TestPerformanceManyTables(SelectionFixtures):
    @pytest.fixture(scope="class", autouse=True)
    def setUp(self, project_root, dbt_integration_project):  # noqa: F811

        sql_string = "select * from {{ this.schema }}.seed"
        for i in range(NUM_TABLES):
            dbt_integration_project["models"][f"{i}.sql"] = sql_string
        write_project_files(project_root, "dbt_integration_project", dbt_integration_project)

    @pytest.fixture(scope="class")
    def packages(self):
        return {"packages": [{"local": "dbt_integration_project"}]}


    @pytest.mark.skipif(os.environ.get('DBT_PERF_TEST') is None, reason="DBT_PERF_TEST not set")
    def test_performance_many_tables_specify_tag_not(self, project, benchmark, monkeypatch):
        monkeypatch.setattr(dbt.common.events.functions, 'get_metadata_vars', get_metadata_vars_not)
        benchmark.pedantic(run_schema_and_assert, args=(project, "tag:bi", None, ["unique_users_id", "unique_users_rollup_gender"]), iterations=5)


    @pytest.mark.skipif(os.environ.get('DBT_PERF_TEST') is None, reason="DBT_PERF_TEST not set")
    def test_performance_many_tables_specify_tag_is(self, project, benchmark, monkeypatch):
        monkeypatch.setattr(dbt.common.events.functions, 'get_metadata_vars', get_metadata_vars_is)
        benchmark.pedantic(run_schema_and_assert, args=(project, "tag:bi", None, ["unique_users_id", "unique_users_rollup_gender"]), iterations=5)

Checklist

• I have read the contributing guide and understand what's expected of me
• I have run this code in development and it appears to resolve the stated issue
• This PR includes tests, or tests are not required/relevant for this PR
• This PR has no interface changes (e.g. macros, cli, logs, json artifacts, config files, adapter interface, etc) or this PR has already received feedback and approval from Product or DX
• This PR includes type annotations for new and modified functions

[github-actions]

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[truls-p]

Closing this in favour of dbt-labs/dbt-common#37