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* ci: benchmark the object store WAL against S3 from an EC2 runner Add a workflow_dispatch workflow that loads the o11ybench agent observability dataset into a fresh GreptimeDB container per cell and compares three WAL configurations that differ only in [wal]: Raft Engine with sync_write on the instance store, and the object store WAL in durable and enqueued mode, with the data files on S3 in the runner's region for all three. Rounds alternate the configuration order. A summary reports rows per second, D/R and E/R as the geometric mean over rounds, append acknowledgement p50 and p99, and the object store WAL counters. A smoke mode runs the same chain on ubuntu-latest against the MinIO fixture. Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: scrape WAL metrics on failed loads and keep logic out of the benchmark YAML Scrape the object store WAL metrics before stopping a cell's server whether the load succeeded or failed, so failed cells keep their stall, poison and create failure counters. Build the summary from the plan so that cells which never ran are listed and leave their ratios undefined. Move budget, region, runtime image, manifest and credential scan logic from the workflow into the helper scripts, and drive the cell lifecycle in the tests through fake docker and curl binaries. Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: drop redundant required flags from benchmark inputs Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: fail a benchmark cell whose metrics scrape fails and zero untouched WAL counters A load that succeeds without its metrics scrape now fails the cell with exit code 4 and records metrics_scraped in cell.json. The summary reports an event counter that never registered as zero when the cell is an object store WAL cell whose scrape succeeded and created objects, and as unknown otherwise. Planned cells that never ran are read through the same path as recorded ones. Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: register the S3 benchmark workflow for dispatch from its branch A workflow_dispatch workflow can only be dispatched once GitHub has registered it, which happens on the default branch or when one of its triggers fires. A push trigger limited to this branch registers it; validate runs only for workflow_dispatch, so a push run skips every job. Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: delete the benchmark S3 prefix one object at a time boto3 now sends a CRC checksum instead of Content-MD5 with DeleteObjects, which the MinIO fixture of the smoke run rejects. DeleteObject needs neither and the prefix of one run holds at most a few thousand objects. Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: default the S3 benchmark to c6id.2xlarge c7id is not offered in the runner region ap-southeast-1, where DescribeInstanceTypes rejects it. c6id is the compute optimized x86 family with a local NVMe instance store that the region offers, with the same 8 vCPU and 16 GiB at 2xlarge. Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: drop the registration trigger of the S3 benchmark workflow The workflow is registered now, so dispatches no longer need a push trigger on its branch. Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: fail an S3 benchmark run on EC2 without a local instance store Without an instance store the Raft Engine WAL of the R cells silently stayed on the root EBS volume, so the run measured a different baseline. Only a smoke run may keep it on the root volume now. Signed-off-by: jeremyhi <fengjiachun@gmail.com> * ci: let the instance store check fail its workflow step The step piped wal-disk into tee without pipefail, so a rejected host still passed. wal-disk now writes its record itself and the step runs it alone. Signed-off-by: jeremyhi <fengjiachun@gmail.com> --------- Signed-off-by: jeremyhi <fengjiachun@gmail.com>
319 lines
18 KiB
Python
319 lines
18 KiB
Python
#!/usr/bin/env python3
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# Copyright 2023 Greptime Team
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Offline tests of the object store WAL S3 benchmark plan and summary."""
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import importlib.util
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import json
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import os
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import subprocess
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import sys
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import tempfile
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import unittest
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from pathlib import Path
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SCRIPTS = Path(__file__).parents[2] / ".github/scripts"
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def load(name, filename):
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spec = importlib.util.spec_from_file_location(name, SCRIPTS / filename)
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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bench = load("oswal_s3_bench", "oswal-s3-bench.py")
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summary = load("oswal_s3_bench_summary", "oswal-s3-bench-summary.py")
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ACK_BUCKETS = """# TYPE greptime_logstore_object_store_wal_append_ack_seconds histogram
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greptime_logstore_object_store_wal_append_ack_seconds_bucket{le="0.064"} 0
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greptime_logstore_object_store_wal_append_ack_seconds_bucket{le="0.128"} 50
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greptime_logstore_object_store_wal_append_ack_seconds_bucket{le="0.256"} 100
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greptime_logstore_object_store_wal_append_ack_seconds_bucket{le="+Inf"} 100
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greptime_logstore_object_store_wal_append_ack_seconds_sum 12
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greptime_logstore_object_store_wal_append_ack_seconds_count 100
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greptime_logstore_object_store_wal_created_objects_total 120
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greptime_logstore_object_store_wal_stalled_appends_total 3
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greptime_logstore_object_store_wal_poisoned_total 0
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greptime_logstore_kafka_client_produce_elapsed_count 9
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"""
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class PlanTest(unittest.TestCase):
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def test_default_plan_alternates_the_order_between_rounds(self):
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plan = bench.build_plan("1,8", "2000000", "1000", "2", smoke=False)
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self.assertEqual([c["id"] for c in plan["cells"]], [
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"1-1-R", "1-1-D", "1-1-E", "1-8-R", "1-8-D", "1-8-E",
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"2-1-E", "2-1-D", "2-1-R", "2-8-E", "2-8-D", "2-8-R"])
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self.assertEqual(plan["generator_args"], ["--data-profile", "D"])
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self.assertEqual((plan["rows"], plan["batch_rows"], plan["data_profile"]), (2_000_000, 1000, "D"))
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self.assertEqual({c["config"]: c["wal"] for c in plan["cells"]}, {
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"R": {"PROVIDER": "raft_engine", "SYNC_WRITE": "true", "DIR": "/wal"},
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"D": {"PROVIDER": "experimental_object_store", "ACK_MODE": "durable"},
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"E": {"PROVIDER": "experimental_object_store", "ACK_MODE": "enqueued"}})
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def test_smoke_overrides_rows_and_rounds(self):
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plan = bench.build_plan("8", "2000000", "1000", "2", smoke=True)
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self.assertEqual((plan["rows"], plan["rounds"], plan["data_profile"]), (50_000, 1, "custom"))
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self.assertEqual(plan["generator_args"], ["--line-count", "50000"])
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self.assertEqual([c["id"] for c in plan["cells"]], ["1-8-R", "1-8-D", "1-8-E"])
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def test_invalid_inputs_are_rejected(self):
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for args in (("0", "10", "10", "1"), ("1,1", "10", "10", "1"), ("1", "abc", "10", "1"),
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("1", "10", "10", "11"), ("1,", "10", "10", "1")):
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with self.subTest(args=args), self.assertRaises(ValueError):
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bench.build_plan(*args, smoke=False)
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def test_nightly_tag_is_the_newest_by_date(self):
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tags = ["latest", "v1.3.0-alpha.1-nightly-20260907", "v1.4.0-nightly-20261012",
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"v1.4.0-nightly-20261005", "nightly-arm64"]
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self.assertEqual(bench.newest_nightly(tags), "v1.4.0-nightly-20261012")
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with self.assertRaises(ValueError):
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bench.newest_nightly(["latest"])
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self.assertEqual(bench.resolve_tag("v1.4.0-nightly-20261012"), "v1.4.0-nightly-20261012")
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with self.assertRaises(ValueError):
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bench.resolve_tag("bad tag")
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def test_budgets_and_regions(self):
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bench.validate_budgets("240", "8")
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for timeout, ttl in (("360", "7"), ("0", "8"), ("361", "168"), ("240", "169")):
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with self.subTest(timeout=timeout, ttl=ttl), self.assertRaises(ValueError):
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bench.validate_budgets(timeout, ttl)
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bench.check_regions("ap-southeast-1", "ap-southeast-1")
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for bucket, runner in (("us-east-1", "ap-southeast-1"), ("", "")):
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with self.subTest(bucket=bucket), self.assertRaisesRegex(ValueError, "cross-region"):
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bench.check_regions(bucket, runner)
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def test_manifest_takes_the_sha256_digest(self):
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plan = bench.build_plan("1,8", "2000000", "1000", "2", smoke=False)
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inspect = [{"RepoDigests": ["greptime/greptimedb@sha256:" + "a" * 64]}]
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manifest = bench.build_manifest(plan, inspect, "runtime@sha256:" + "b" * 64, "c6id.2xlarge",
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"ap-southeast-1", "oswal-bench/1-1")
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self.assertEqual(manifest["greptimedb_image"], "greptime/greptimedb@sha256:" + "a" * 64)
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self.assertEqual((manifest["rows"], manifest["rounds"], manifest["concurrency"]), (2_000_000, 2, [1, 8]))
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with self.assertRaises(ValueError):
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bench.build_manifest(plan, [{"RepoDigests": []}], "", "", "", "")
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class SummaryTest(unittest.TestCase):
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def test_quantile_interpolates_like_prometheus(self):
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buckets = summary.parse_metrics(ACK_BUCKETS)["buckets"]["append_ack_seconds"]
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self.assertAlmostEqual(summary.quantile(0.5, buckets), 0.128)
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self.assertAlmostEqual(summary.quantile(0.99, buckets), 0.128 + 0.128 * 49 / 50)
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self.assertAlmostEqual(summary.quantile(0.25, buckets), 0.064 + 0.064 * 25 / 50)
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self.assertIsNone(summary.quantile(0.5, []))
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self.assertEqual(summary.quantile(0.99, [(0.1, 1.0), (float("inf"), 4.0)]), 0.1)
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self.assertNotIn("kafka_client_produce_elapsed_count", summary.parse_metrics(ACK_BUCKETS)["samples"])
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def write_cell(self, root, cell_id, rows_per_second, exit_code=0, metrics=""):
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round_number, concurrency, config = cell_id.split("-")
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path = root / "cells" / cell_id
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(path / "greptimedb-1").mkdir(parents=True)
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(path / "cell.json").write_text(json.dumps({
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"id": cell_id, "round": int(round_number), "concurrency": int(concurrency), "config": config,
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"wal": bench.WAL_CONFIGS[config], "metrics_scraped": True,
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"exit_code": exit_code, "wal_device": "/dev/nvme1n1", "version": "1.4.0", "load_wall_seconds": 61.0}))
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if exit_code == 0:
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(path / "greptimedb-1" / "load-result.json").write_text(json.dumps({
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"count_after": 6000, "load_seconds": 60.0, "rows_per_second": rows_per_second}))
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(path / "metrics.prom").write_text(metrics)
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def test_summary_reports_cells_and_geometric_mean_ratios(self):
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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plan = bench.build_plan("8", "6000", "1000", "2", smoke=False)
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(root / "plan.json").write_text(json.dumps(plan))
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(root / "run.json").write_text(json.dumps({"rows": 6000, "batch_rows": 1000, "instance_type": "c6id.2xlarge"}))
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speeds = {"1-8-R": 100.0, "1-8-D": 80.0, "1-8-E": 90.0, "2-8-E": 99.0, "2-8-D": 50.0, "2-8-R": 110.0}
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for cell_id, speed in speeds.items():
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self.write_cell(root, cell_id, speed, metrics=ACK_BUCKETS if cell_id.endswith("D") else "")
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output = subprocess.run([sys.executable, str(SCRIPTS / "oswal-s3-bench-summary.py"), "--root", str(root)],
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check=True, capture_output=True, text=True).stdout
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result = json.loads((root / "summary.json").read_text())
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self.assertEqual([c["id"] for c in result["cells"]], [c["id"] for c in plan["cells"]])
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d_ratio = next(r for r in result["ratios"] if r["ratio"] == "D/R")
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self.assertAlmostEqual(d_ratio["geomean"], (0.8 * (50 / 110)) ** 0.5)
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self.assertAlmostEqual(next(r for r in result["ratios"] if r["ratio"] == "E/R")["geomean"], 0.9)
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d_cell = next(c for c in result["cells"] if c["id"] == "1-8-D")
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self.assertEqual(d_cell["creates_per_minute"], 120.0)
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self.assertEqual(d_cell["stalled_appends_total"], 3)
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self.assertIn("| 1-8-D | 80 | 60.0 | 61.0 | 6,000 | 128.0 | 253.4 | 120 | 120.0 | 3 | 0 | 0 | 0 |", output)
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r_cell = next(c for c in result["cells"] if c["id"] == "1-8-R")
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self.assertIsNone(r_cell["stalled_appends_total"])
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def test_untouched_counters_are_zero_only_for_an_active_object_store_wal(self):
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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created = "greptime_logstore_object_store_wal_created_objects_total 40\n"
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self.write_cell(root, "1-8-E", 90.0, metrics=created)
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self.write_cell(root, "1-8-D", 80.0, metrics="")
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cell_e, cell_d = (summary.load_cell(root / "cells" / i) for i in ("1-8-E", "1-8-D"))
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self.assertEqual([cell_e[c] for c in summary.COUNTERS], [40, 0, 0, 0, 0])
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self.assertEqual([cell_d[c] for c in summary.COUNTERS], [None] * 5)
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recorded = json.loads((root / "cells" / "1-8-E" / "cell.json").read_text())
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(root / "cells" / "1-8-E" / "cell.json").write_text(json.dumps(recorded | {"metrics_scraped": False}))
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unscraped = summary.load_cell(root / "cells" / "1-8-E")
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self.assertIsNone(unscraped["stalled_appends_total"])
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def test_a_planned_round_that_never_ran_leaves_the_ratio_undefined(self):
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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plan = bench.build_plan("8", "6000", "1000", "2", smoke=False)
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(root / "plan.json").write_text(json.dumps(plan))
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for cell_id, speed in {"1-8-R": 100.0, "1-8-D": 80.0, "1-8-E": 90.0}.items():
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self.write_cell(root, cell_id, speed)
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output = subprocess.run([sys.executable, str(SCRIPTS / "oswal-s3-bench-summary.py"), "--root", str(root)],
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check=True, capture_output=True, text=True).stdout
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result = json.loads((root / "summary.json").read_text())
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self.assertEqual(result["missing_cells"], ["2-8-E", "2-8-D", "2-8-R"])
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self.assertEqual(result["planned_cells"], 6)
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for ratio in result["ratios"]:
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self.assertIsNone(ratio["geomean"])
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self.assertIsNone(ratio["per_round"][1])
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self.assertIn("2-8-D (not run)", output)
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def test_a_failed_cell_leaves_its_ratio_undefined(self):
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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self.write_cell(root, "1-1-R", 100.0)
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self.write_cell(root, "1-1-D", 0.0, exit_code=1)
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rows = [summary.load_cell(path) for path in sorted((root / "cells").iterdir())]
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ratio = next(r for r in summary.ratios(rows) if r["ratio"] == "D/R")
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self.assertEqual((ratio["per_round"], ratio["geomean"]), ([None], None))
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self.assertIn("1-1-D (failed, exit 1)", summary.render({}, rows, summary.ratios(rows)))
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FAKE_DOCKER = r"""#!/usr/bin/env bash
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printf '%s\n' "docker $*" >> "$FAKE_LOG"
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case "$1" in
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run)
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for arg in "$@"; do [[ "$arg" != -d ]] || { echo "keys=${GREPTIMEDB_STANDALONE__STORAGE__ACCESS_KEY_ID:+set}${GREPTIMEDB_STANDALONE__STORAGE__SECRET_ACCESS_KEY:+set}" >> "$FAKE_LOG"; echo fakecid; exit 0; }; done
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for arg in "$@"; do
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case "$arg" in type=bind,src=*,dst=/results) results=${arg#type=bind,src=}; results=${results%,dst=/results} ;; esac
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done
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[[ "$FAKE_LOAD_RC" == 0 ]] || exit "$FAKE_LOAD_RC"
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mkdir -p "$results/greptimedb-1"
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echo "{\"count_before\": 0, \"count_after\": $FAKE_ROWS, \"load_seconds\": 2, \"rows_per_second\": 3000}" \
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> "$results/greptimedb-1/load-result.json" ;;
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inspect) echo true ;;
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exec) echo 'version: 1.4.0-test' ;;
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logs) echo 'server log' ;;
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esac
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"""
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FAKE_CURL = r"""#!/usr/bin/env bash
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printf '%s\n' "curl $*" >> "$FAKE_LOG"
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for arg in "$@"; do
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[[ "$arg" != */metrics ]] || {
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[[ "$FAKE_METRICS_RC" == 0 ]] || exit "$FAKE_METRICS_RC"
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printf '%s\n' 'greptime_logstore_object_store_wal_poisoned_total 1' 'other_total 2'; exit 0;
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}
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done
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"""
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class CellLifecycleTest(unittest.TestCase): # the run script against fake docker and curl
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def run_cells(self, root, load_rc, metrics_rc=0):
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bin_dir = root / "bin"
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bin_dir.mkdir()
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for name, body in (("docker", FAKE_DOCKER), ("curl", FAKE_CURL)):
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(bin_dir / name).write_text(body)
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(bin_dir / name).chmod(0o755)
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plan = bench.build_plan("8", "6000", "1000", "1", smoke=False)
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plan["cells"] = [cell for cell in plan["cells"] if cell["config"] != "R"]
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(root / "results").mkdir()
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(root / "results" / "plan.json").write_text(json.dumps(plan))
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env = os.environ | {
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"PATH": f"{bin_dir}:{os.environ['PATH']}", "FAKE_LOG": str(root / "fake.log"),
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"FAKE_LOAD_RC": str(load_rc), "FAKE_METRICS_RC": str(metrics_rc), "FAKE_ROWS": "6000", "PLAN": str(root / "results" / "plan.json"),
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"RESULTS": str(root / "results"), "CORPUS_DIR": str(root / "corpus"), "OWNER": "o11ybench-oswal-1-1",
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"RUNTIME_IMAGE": "runtime@sha256:" + "b" * 64, "GREPTIMEDB_IMAGE": "greptimedb@sha256:" + "a" * 64,
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"RUN_PREFIX": "oswal-bench/1-1", "WAL_ROOT": str(root / "wal"), "S3_BUCKET": "bucket",
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"S3_REGION": "ap-southeast-1", "AWS_ACCESS_KEY_ID": "AKIAFAKEKEY", "AWS_SECRET_ACCESS_KEY": "fake-secret-value",
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}
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script = str(SCRIPTS / "oswal-s3-bench-run.sh")
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cells = subprocess.run(["bash", script, "cells"], env=env, capture_output=True, text=True, timeout=60)
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scrub = subprocess.run(["bash", script, "scrub"], env=env, capture_output=True, text=True, timeout=60)
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return cells, scrub, (root / "fake.log").read_text(), env
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def test_a_failed_load_still_scrapes_metrics_and_removes_the_server(self):
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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cells, scrub, log, _ = self.run_cells(root, load_rc=3)
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self.assertNotEqual(cells.returncode, 0)
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self.assertEqual(scrub.returncode, 0, scrub.stderr)
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for cell_id in ("1-8-D", "1-8-E"):
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cell = root / "results" / "cells" / cell_id
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self.assertEqual(json.loads((cell / "cell.json").read_text())["exit_code"], 3)
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self.assertEqual((cell / "metrics.prom").read_text(),
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"greptime_logstore_object_store_wal_poisoned_total 1\n")
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self.assertFalse((cell / "metrics.all").exists())
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self.assertEqual((cell / "server.log").read_text(), "server log\n")
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self.assertEqual(log.count("docker stop -t 120 fakecid"), 2)
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self.assertEqual(log.count("docker rm -fv fakecid"), 2)
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def test_an_ec2_run_without_an_instance_store_fails(self):
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with tempfile.TemporaryDirectory() as directory:
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(Path(directory) / "lsblk").write_text("#!/usr/bin/env bash\necho '/dev/nvme0n1 Amazon Elastic Block Store'\n")
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(Path(directory) / "lsblk").chmod(0o755)
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env = os.environ | {"PATH": f"{directory}:{os.environ['PATH']}", "SMOKE": "false", "RESULTS": directory}
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done = subprocess.run(["bash", str(SCRIPTS / "oswal-s3-bench-run.sh"), "wal-disk", f"{directory}/wal"],
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env=env, capture_output=True, text=True, timeout=60)
|
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self.assertNotEqual(done.returncode, 0)
|
|
self.assertIn("No local NVMe instance store", done.stderr)
|
|
|
|
def test_a_failed_scrape_fails_a_successful_load(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
root = Path(directory)
|
|
cells, _, log, _ = self.run_cells(root, load_rc=0, metrics_rc=22)
|
|
self.assertNotEqual(cells.returncode, 0)
|
|
for cell_id in ("1-8-D", "1-8-E"):
|
|
cell = root / "results" / "cells" / cell_id
|
|
recorded = json.loads((cell / "cell.json").read_text())
|
|
self.assertEqual((recorded["exit_code"], recorded["metrics_scraped"]), (4, False))
|
|
self.assertFalse((cell / "metrics.prom").exists())
|
|
self.assertFalse((cell / "metrics.all").exists())
|
|
self.assertEqual(log.count("docker rm -fv fakecid"), 2)
|
|
|
|
def test_a_cell_passes_the_keys_by_name_and_records_a_redacted_config(self):
|
|
with tempfile.TemporaryDirectory() as directory:
|
|
root = Path(directory)
|
|
cells, scrub, log, env = self.run_cells(root, load_rc=0)
|
|
self.assertEqual(cells.returncode, 0, cells.stdout + cells.stderr)
|
|
self.assertEqual(scrub.returncode, 0, scrub.stderr)
|
|
self.assertNotIn("fake-secret-value", log)
|
|
self.assertNotIn("AKIAFAKEKEY", log)
|
|
self.assertEqual(log.count("keys=setset"), 2)
|
|
self.assertIn("-e GREPTIMEDB_STANDALONE__STORAGE__SECRET_ACCESS_KEY ", log)
|
|
cell = root / "results" / "cells" / "1-8-D"
|
|
config = (cell / "config.env").read_text().splitlines()
|
|
self.assertIn("GREPTIMEDB_STANDALONE__STORAGE__ROOT=oswal-bench/1-1/1-8-D", config)
|
|
self.assertIn("GREPTIMEDB_STANDALONE__WAL__ACK_MODE=durable", config)
|
|
self.assertIn("GREPTIMEDB_STANDALONE__STORAGE__SECRET_ACCESS_KEY=<redacted>", config)
|
|
recorded = json.loads((cell / "cell.json").read_text())
|
|
self.assertEqual((recorded["exit_code"], recorded["version"], recorded["metrics_scraped"]),
|
|
(0, "1.4.0-test", True))
|
|
self.assertEqual(recorded["wal_device"], "s3://bucket/oswal-bench/1-1/1-8-D/wal")
|
|
# A leaked value makes scrub refuse the results.
|
|
(cell / "leak.txt").write_text("fake-secret-value")
|
|
leaked = subprocess.run(["bash", str(SCRIPTS / "oswal-s3-bench-run.sh"), "scrub"], env=env,
|
|
capture_output=True, text=True, timeout=60)
|
|
self.assertNotEqual(leaked.returncode, 0)
|
|
self.assertFalse((root / "results").exists())
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|