feat: Add reads_regional microbenchmark comparing JSON, gRPC DP, and gRPC CP

Author: chandra-siri

packages/google-cloud-storage/tests/perf/microbenchmarks/time_based/reads_regional/config.py

@@ -0,0 +1,101 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import itertools
+import os
+from typing import Dict, List
+
+import yaml
+
+try:
+    from tests.perf.microbenchmarks.time_based.reads_regional.parameters import (
+        TimeBasedReadParameters,
+    )
+except ModuleNotFoundError:
+    from reads_regional.parameters import TimeBasedReadParameters
+
+
+def _get_params() -> Dict[str, List[TimeBasedReadParameters]]:
+    """Generates a dictionary of benchmark parameters for time based read operations."""
+    params: Dict[str, List[TimeBasedReadParameters]] = {}
+    config_path = os.path.join(os.path.dirname(__file__), "config.yaml")
+    with open(config_path, "r") as f:
+        config = yaml.safe_load(f)
+
+    common_params = config["common"]
+    read_types = common_params["read_types"]
+    file_sizes_mib = common_params["file_sizes_mib"]
+    chunk_sizes_kib = common_params["chunk_sizes_kib"]
+    num_ranges = common_params["num_ranges"]
+    rounds = common_params["rounds"]
+    duration = common_params["duration"]
+    warmup_duration = common_params["warmup_duration"]
+
+    # All read types use the same regional bucket
+    bucket_name = os.environ.get(
+        "DEFAULT_STANDARD_BUCKET", config["defaults"]["DEFAULT_STANDARD_BUCKET"]
+    )
+
+    for workload in config["workload"]:
+        workload_name = workload["name"]
+        params[workload_name] = []
+        pattern = workload["pattern"]
+        processes = workload["processes"]
+        coros = workload["coros"]
+
+        # Create a product of all parameter combinations
+        product = itertools.product(
+            read_types,
+            file_sizes_mib,
+            chunk_sizes_kib,
+            num_ranges,
+            processes,
+            coros,
+        )
+
+        for (
+            read_type,
+            file_size_mib,
+            chunk_size_kib,
+            num_ranges_val,
+            num_processes,
+            num_coros,
+        ) in product:
+            file_size_bytes = file_size_mib * 1024 * 1024
+            chunk_size_bytes = chunk_size_kib * 1024
+
+            num_files = num_processes
+
+            # Create a descriptive name for the parameter set
+            name = f"{pattern}_{read_type}_{num_processes}p_{num_coros}c_{file_size_mib}MiB_{chunk_size_kib}KiB_{num_ranges_val}ranges"
+
+            params[workload_name].append(
+                TimeBasedReadParameters(
+                    name=name,
+                    workload_name=workload_name,
+                    pattern=pattern,
+                    bucket_name=bucket_name,
+                    bucket_type="regional",
+                    read_type=read_type,
+                    num_coros=num_coros,
+                    num_processes=num_processes,
+                    num_files=num_files,
+                    rounds=rounds,
+                    chunk_size_bytes=chunk_size_bytes,
+                    file_size_bytes=file_size_bytes,
+                    duration=duration,
+                    warmup_duration=warmup_duration,
+                    num_ranges=num_ranges_val,
+                )
+            )
+    return params

packages/google-cloud-storage/tests/perf/microbenchmarks/time_based/reads_regional/config.yaml

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+common:
+  read_types:
+    - "async_json"
+    - "async_grpc_dp"
+    - "async_grpc_cp"
+  file_sizes_mib:
+    - 10240 # 10GiB
+  chunk_sizes_kib: [64]
+  num_ranges: [1]
+  rounds: 1
+  duration: 30 # seconds
+  warmup_duration: 5 # seconds
+
+workload:
+  ############# multi process multi coroutine #########
+  - name: "read_seq_multi_process"
+    pattern: "seq"
+    coros: [1]
+    processes: [96]
+
+  - name: "read_rand_multi_process"
+    pattern: "rand"
+    coros: [1, 16]
+    processes: [1]
+
+defaults:
+  DEFAULT_STANDARD_BUCKET: "chandrasiri-benchmarks-rb"

packages/google-cloud-storage/tests/perf/microbenchmarks/time_based/reads_regional/parameters.py

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+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from dataclasses import dataclass
+
+from tests.perf.microbenchmarks.parameters import IOBenchmarkParameters
+
+
+@dataclass
+class TimeBasedReadParameters(IOBenchmarkParameters):
+    pattern: str
+    duration: int
+    warmup_duration: int
+    num_ranges: int
+    read_type: str