chore: clean up snowflake instructions

[wantsui]

The current doc makes it seem like you need to call both patch and patch call at the same time:

from ddtrace import patch, patch_all
patch(snowflake=True)
patch_all(snowflake=True)

This PR splits it out.

Checklist

• PR author has checked that all the criteria below are met
• The PR description includes an overview of the change
• The PR description articulates the motivation for the change
• The change includes tests OR the PR description describes a testing strategy
• The PR description notes risks associated with the change, if any
• Newly-added code is easy to change
• The change follows the library release note guidelines
• The change includes or references documentation updates if necessary
• Backport labels are set (if applicable)

Reviewer Checklist

• Reviewer has checked that all the criteria below are met
• Title is accurate
• All changes are related to the pull request's stated goal
• Avoids breaking API changes
• Testing strategy adequately addresses listed risks
• Newly-added code is easy to change
• Release note makes sense to a user of the library
• If necessary, author has acknowledged and discussed the performance implications of this PR as reported in the benchmarks PR comment
• Backport labels are set in a manner that is consistent with the release branch maintenance policy

[github-actions]

CODEOWNERS have been resolved as:

ddtrace/contrib/snowflake/__init__.py                                   @DataDog/apm-core-python @DataDog/apm-idm-python

[datadog-dd-trace-py-rkomorn]

Datadog Report

Branch report: wantsui/snowflake
Commit report: 392b1c6
Test service: dd-trace-py

✅ 0 Failed, 87 Passed, 1468 Skipped, 4m 1.16s Total duration (35m 41.19s time saved)

[pr-commenter]

Benchmarks

Benchmark execution time: 2025-01-10 00:18:15

Comparing candidate commit 392b1c6 in PR branch wantsui/snowflake with baseline commit 6291397 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 362 metrics, 2 unstable metrics.