Initial drop of sqlite.

[dvalinrh]

Initial code drop for sqlite.

Sample results
table_entries,procs,Real_time,User_time,System_time,Start_Date,End_Date
5000,1,21.94,.49,.55,2026-08-05T20:07:57Z,2026-08-05T20:08:19Z
5000,2,22.27,.98,1.12,2026-08-05T20:08:29Z,2026-08-05T20:08:52Z
5000,4,25.62,1.98,2.23,2026-08-05T20:09:02Z,2026-08-05T20:09:27Z
5000,6,37.82,3.04,3.41,2026-08-05T20:09:38Z,2026-08-05T20:10:16Z
5000,8,49.90,4.10,4.61,2026-08-05T20:10:26Z,2026-08-05T20:11:17Z
5000,10,61.80,5.24,5.69,2026-08-05T20:11:27Z,2026-08-05T20:12:29Z
5000,12,73.78,6.26,6.70,2026-08-05T20:12:39Z,2026-08-05T20:13:54Z
5000,14,85.88,7.30,7.63,2026-08-05T20:14:04Z,2026-08-05T20:15:30Z
5000,16,98.02,8.28,8.29,2026-08-05T20:15:40Z,2026-08-05T20:17:19Z

[coderabbitai]

📝 Walkthrough

Summary by CodeRabbit

• New Features

  • Added a complete SQLite benchmarking workflow with configurable entries, processes, iterations, monitoring, timing, result aggregation, CSV conversion, and verification.
  • Added benchmark output artifacts, including reset data and verification metrics.
  • Added validation for benchmark result fields, timings, process counts, and timestamps.

• Documentation

  • Added comprehensive usage documentation covering options, workflows, outputs, examples, troubleshooting, and platform considerations.

• Chores

  • Added environment configuration for required SQLite benchmarking tools and runtime packages.

Walkthrough

Adds a complete SQLite benchmark wrapper. It supports randomized concurrent workloads, WAL-mode databases, optional PCP monitoring, timing aggregation, result validation, artifact generation, dependency metadata, and comprehensive documentation.

Changes

SQLite benchmark

Layer / File(s)	Summary
Benchmark contracts and setup sqlite/results_schema.py, sqlite/openmetrics_sqlite_reset.txt, sqlite/sqlite.json, sqlite/run_sqlite.sh	Adds result validation, reset metrics, dependency metadata, command-line handling, package setup, and shared test-tool initialization.
Workload generation and execution sqlite/run_sqlite.sh	Generates cached randomized SQL statements and runs concurrent WAL-mode SQLite loads with per-process databases and timing capture.
Benchmark iteration and aggregation sqlite/run_sqlite.sh	Runs configured iterations, table sizes, and process counts. It collects optional PCP metrics and writes aggregated timing rows.
Result artifacts and documentation sqlite/run_sqlite.sh, sqlite/sqlite_verify.json, README.md	Converts and verifies results, saves benchmark artifacts, records verification data, and documents runner behavior.

Estimated code review effort: 4 (Complex) | ~45 minutes

Sequence Diagram(s)

sequenceDiagram
  participant BenchmarkRunner
  participant SQLiteWorkers
  participant SQLiteDatabases
  participant PCP
  participant ResultFiles
  BenchmarkRunner->>SQLiteWorkers: Start configured concurrent loads
  SQLiteWorkers->>SQLiteDatabases: Execute randomized inserts in WAL mode
  SQLiteWorkers-->>BenchmarkRunner: Return timing data
  BenchmarkRunner->>PCP: Publish metrics when enabled
  BenchmarkRunner->>ResultFiles: Aggregate, convert, and verify results

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🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly identifies this pull request as the initial SQLite code drop.
Description check	✅ Passed	The description identifies the SQLite code drop and provides related benchmark results.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

✨ Finishing Touches

📝 Generate docstrings

• Create stacked PR
• Commit on current branch

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[coderabbitai]

Actionable comments posted: 10

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@sqlite/run_sqlite.sh`:
- Line 338: Update the iteration label passed to results2pcp_add_value in the
benchmark loop to use the current gl_iter value instead of the constant 1, so
PCP records identify their actual iteration.
- Around line 382-386: Update the timestamp aggregation in reduce_data around
the Start_time and End_time parsing: initialize the range from the first worker
file, then compare each subsequent file’s values and retain the minimum
Start_time and maximum End_time. Ensure the aggregated timestamps are used when
writing the result row.
- Around line 121-128: Update the recursive output-capture block around the
test_name check to use a unique private temporary file created by mktemp instead
of /tmp/${test_name}.out. Register a trap to remove the temporary file on exit,
use that path for redirection and cat, and preserve the existing command status
returned by exit $rtc.
- Line 112: Update the worker-waiting logic around execute_sqlite so it waits
for each PID individually and records whether any worker failed, then returns a
nonzero status when any database worker fails. Preserve successful completion
when all workers succeed, preventing the outer loop from running timing and
aggregation after a failure.
- Around line 111-112: Update execute_sqlite() and exec_db() so each worker
signals readiness through its own unique marker, and the parent waits until
every worker marker exists before releasing the shared workload barrier. Remove
the immediate parent touch of ready_file, preserve the existing wait barrier,
and ensure marker creation occurs only after each worker completes database
setup.
- Around line 391-397: Align the elapsed-time implementation and documentation:
update the runtime calculation near real_time in run_sqlite.sh to report the
maximum process elapsed time instead of averaging across iterations and tprocs,
or revise the README to document the existing average semantics. Ensure the
stated contract matches the actual result.
- Around line 409-421: Update the tbl_entries verification loop in run_sqlite.sh
to generate a table-size-specific JSON filename instead of reusing
sqlite_verify.json, and use that same filename for both csv_to_json and
verify_results. Extend the save_results --other_files pattern to preserve these
verification JSON artifacts alongside the existing files.
- Around line 261-269: Check the exit status of getopt when assigning opts, and
immediately terminate the script with a non-zero status if parsing fails; only
execute eval set --$opts after successful parsing.

In `@sqlite/sqlite_verify.json`:
- Around line 5-9: Regenerate the benchmark artifact represented by
sqlite_verify.json from a valid documented concurrent run so Start_Date,
End_Date, Real_time, User_time, and System_time are internally consistent. Do
not manually adjust individual values; rerun the benchmark and replace the
recorded metrics with the resulting complete artifact.

In `@sqlite/sqlite.json`:
- Around line 24-25: Add Pydantic to the pip dependencies declared in the sqlite
configuration so the import used by sqlite/results_schema.py is available when
verify_results runs. Keep the existing result-schema validation flow unchanged.

🪄 Autofix

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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ℹ️ Review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro Plus

Run ID: 99948b39-4a65-45ed-8721-8ddaf84ee7ae

📥 Commits

Reviewing files that changed from the base of the PR and between 2ac5775 and 113fcd4.

📒 Files selected for processing (6)

• README.md
• sqlite/openmetrics_sqlite_reset.txt
• sqlite/results_schema.py
• sqlite/run_sqlite.sh
• sqlite/sqlite.json
• sqlite/sqlite_verify.json