api-daemon/pvcapid.py

@@ -19,13 +19,6 @@
 #
 ###############################################################################
 
-import sys
+import pvcapid.Daemon  # noqa: F401
-from os import path
-
-# Ensure current directory (/usr/share/pvc) is in the system path for Gunicorn
-current_dir = path.dirname(path.abspath(__file__))
-sys.path.append(current_dir)
-
-import pvcapid.Daemon  # noqa: F401, E402
 
 pvcapid.Daemon.entrypoint()

api-daemon/pvcapid/Daemon.py

@@ -19,13 +19,15 @@
 #
 ###############################################################################
 
-import subprocess
+
 from ssl import SSLContext, TLSVersion
+
 from distutils.util import strtobool as dustrtobool
+
 import daemon_lib.config as cfg
 
 # Daemon version
-version = "0.9.100~git-73c0834f"
+version = "0.9.100"
 
 # API version
 API_VERSION = 1.0
@@ -51,6 +53,7 @@ def strtobool(stringv):
 # Configuration Parsing
 ##########################################################
 
+
 # Get our configuration
 config = cfg.get_configuration()
 config["daemon_name"] = "pvcapid"
@@ -58,16 +61,22 @@ config["daemon_version"] = version
 
 
 ##########################################################
-# Flask App Creation for Gunicorn
+# Entrypoint
 ##########################################################
 
 
-def create_app():
+def entrypoint():
-    """
+    import pvcapid.flaskapi as pvc_api  # noqa: E402
-    Create and return the Flask app and SSL context if necessary.
+
-    """
+    if config["api_ssl_enabled"]:
-    # Import the Flask app from pvcapid.flaskapi after adjusting the path
+        context = SSLContext()
-    import pvcapid.flaskapi as pvc_api
+        context.minimum_version = TLSVersion.TLSv1
+        context.get_ca_certs()
+        context.load_cert_chain(
+            config["api_ssl_cert_file"], keyfile=config["api_ssl_key_file"]
+        )
+    else:
+        context = None
 
     # Print our startup messages
     print("")
@@ -93,69 +102,9 @@ def create_app():
     print("")
 
     pvc_api.celery_startup()
-
+    pvc_api.app.run(
-    return pvc_api.app
-
-
-##########################################################
-# Entrypoint
-##########################################################
-
-
-def entrypoint():
-    if config["debug"]:
-        app = create_app()
-
-        if config["api_ssl_enabled"]:
-            ssl_context = SSLContext()
-            ssl_context.minimum_version = TLSVersion.TLSv1
-            ssl_context.get_ca_certs()
-            ssl_context.load_cert_chain(
-                config["api_ssl_cert_file"], keyfile=config["api_ssl_key_file"]
-            )
-        else:
-            ssl_context = None
-
-        app.run(
         config["api_listen_address"],
         config["api_listen_port"],
         threaded=True,
-            ssl_context=ssl_context,
+        ssl_context=context,
     )
-    else:
-        # Build the command to run Gunicorn
-        gunicorn_cmd = [
-            "gunicorn",
-            "--workers",
-            "1",
-            "--threads",
-            "8",
-            "--timeout",
-            "86400",
-            "--bind",
-            "{}:{}".format(config["api_listen_address"], config["api_listen_port"]),
-            "pvcapid.Daemon:create_app()",
-            "--log-level",
-            "info",
-            "--access-logfile",
-            "-",
-            "--error-logfile",
-            "-",
-        ]
-
-        if config["api_ssl_enabled"]:
-            gunicorn_cmd += [
-                "--certfile",
-                config["api_ssl_cert_file"],
-                "--keyfile",
-                config["api_ssl_key_file"],
-            ]
-
-        # Run Gunicorn
-        try:
-            subprocess.run(gunicorn_cmd)
-        except KeyboardInterrupt:
-            exit(0)
-        except Exception as e:
-            print(e)
-            exit(1)

api-daemon/pvcapid/flaskapi.py

@@ -5058,7 +5058,95 @@ class API_Storage_Ceph_Benchmark(Resource):
                   description: The PVC benchmark format of the results
                 benchmark_result:
                   type: object
-                  description: A benchmark test result; format not documented due to complexity
+                  description: A format 0 test result
+                  properties:
+                    test_name:
+                      type: object
+                      properties:
+                        overall:
+                          type: object
+                          properties:
+                            iosize:
+                              type: string (integer)
+                              description: The total size of the benchmark data
+                            bandwidth:
+                              type: string (integer)
+                              description: The average bandwidth (KiB/s)
+                            iops:
+                              type: string (integer)
+                              description: The average IOPS
+                            runtime:
+                              type: string (integer)
+                              description: The total test time in milliseconds
+                        latency:
+                          type: object
+                          properties:
+                            min:
+                              type: string (integer)
+                              description: The minimum latency measurement
+                            max:
+                              type: string (integer)
+                              description: The maximum latency measurement
+                            mean:
+                              type: string (float)
+                              description: The mean latency measurement
+                            stdev:
+                              type: string (float)
+                              description: The standard deviation of latency
+                        bandwidth:
+                          type: object
+                          properties:
+                            min:
+                              type: string (integer)
+                              description: The minimum bandwidth (KiB/s) measurement
+                            max:
+                              type: string (integer)
+                              description: The maximum bandwidth (KiB/s) measurement
+                            mean:
+                              type: string (float)
+                              description: The mean bandwidth (KiB/s) measurement
+                            stdev:
+                              type: string (float)
+                              description: The standard deviation of bandwidth
+                            numsamples:
+                              type: string (integer)
+                              description: The number of samples taken during the test
+                        iops:
+                          type: object
+                          properties:
+                            min:
+                              type: string (integer)
+                              description: The minimum IOPS measurement
+                            max:
+                              type: string (integer)
+                              description: The maximum IOPS measurement
+                            mean:
+                              type: string (float)
+                              description: The mean IOPS measurement
+                            stdev:
+                              type: string (float)
+                              description: The standard deviation of IOPS
+                            numsamples:
+                              type: string (integer)
+                              description: The number of samples taken during the test
+                        cpu:
+                          type: object
+                          properties:
+                            user:
+                              type: string (float percentage)
+                              description: The percentage of test time spent in user space
+                            system:
+                              type: string (float percentage)
+                              description: The percentage of test time spent in system (kernel) space
+                            ctxsw:
+                              type: string (integer)
+                              description: The number of context switches during the test
+                            majfault:
+                              type: string (integer)
+                              description: The number of major page faults during the test
+                            minfault:
+                              type: string (integer)
+                              description: The number of minor page faults during the test
         """
         return list_benchmarks(config, reqargs.get("job", None))
 
@@ -5069,10 +5157,6 @@ class API_Storage_Ceph_Benchmark(Resource):
                 "required": True,
                 "helptext": "A valid pool must be specified.",
             },
-            {
-                "name": "name",
-                "required": False,
-            },
         ]
     )
     @Authenticator
@@ -5088,11 +5172,6 @@ class API_Storage_Ceph_Benchmark(Resource):
             type: string
             required: true
             description: The PVC storage pool to benchmark
-          - in: query
-            name: name
-            type: string
-            required: false
-            description: An optional override name for the job
         responses:
           200:
             description: OK
@@ -5110,10 +5189,7 @@ class API_Storage_Ceph_Benchmark(Resource):
             }, 400
 
         task = run_celery_task(
-            "storage.benchmark",
+            "storage.benchmark", pool=reqargs.get("pool", None), run_on="primary"
-            pool=reqargs.get("pool", None),
-            name=reqargs.get("name", None),
-            run_on="primary",
         )
         return (
             {

client-cli/pvc/cli/cli.py

@@ -3755,13 +3755,6 @@ def cli_storage_benchmark():
 @click.command(name="run", short_help="Run a storage benchmark.")
 @connection_req
 @click.argument("pool")
-@click.option(
-    "--name",
-    "name",
-    default=None,
-    show_default=False,
-    help="Use a custom name for the job",
-)
 @click.option(
     "--wait/--no-wait",
     "wait_flag",
@@ -3773,14 +3766,12 @@ def cli_storage_benchmark():
 @confirm_opt(
     "Storage benchmarks take approximately 10 minutes to run and generate significant load on the cluster; they should be run sparingly. Continue"
 )
-def cli_storage_benchmark_run(pool, name, wait_flag):
+def cli_storage_benchmark_run(pool, wait_flag):
     """
     Run a storage benchmark on POOL in the background.
     """
 
-    retcode, retmsg = pvc.lib.storage.ceph_benchmark_run(
+    retcode, retmsg = pvc.lib.storage.ceph_benchmark_run(CLI_CONFIG, pool, wait_flag)
-        CLI_CONFIG, pool, name, wait_flag
-    )
 
     if retcode and wait_flag:
         retmsg = wait_for_celery_task(CLI_CONFIG, retmsg)

client-cli/pvc/lib/storage.py

@@ -30,7 +30,6 @@ from requests_toolbelt.multipart.encoder import (
 
 import pvc.lib.ansiprint as ansiprint
 from pvc.lib.common import UploadProgressBar, call_api, get_wait_retdata
-from pvc.cli.helpers import MAX_CONTENT_WIDTH
 
 #
 # Supplemental functions
@@ -1725,17 +1724,15 @@ def format_list_snapshot(config, snapshot_list):
 #
 # Benchmark functions
 #
-def ceph_benchmark_run(config, pool, name, wait_flag):
+def ceph_benchmark_run(config, pool, wait_flag):
     """
     Run a storage benchmark against {pool}
 
     API endpoint: POST /api/v1/storage/ceph/benchmark
-    API arguments: pool={pool}, name={name}
+    API arguments: pool={pool}
     API schema: {message}
     """
     params = {"pool": pool}
-    if name:
-        params["name"] = name
     response = call_api(config, "post", "/storage/ceph/benchmark", params=params)
 
     return get_wait_retdata(response, wait_flag)
@@ -1807,7 +1804,7 @@ def get_benchmark_list_results(benchmark_format, benchmark_data):
         benchmark_bandwidth, benchmark_iops = get_benchmark_list_results_legacy(
             benchmark_data
         )
-    elif benchmark_format == 1 or benchmark_format == 2:
+    elif benchmark_format == 1:
         benchmark_bandwidth, benchmark_iops = get_benchmark_list_results_json(
             benchmark_data
         )
@@ -2009,7 +2006,6 @@ def format_info_benchmark(config, benchmark_information):
     benchmark_matrix = {
         0: format_info_benchmark_legacy,
         1: format_info_benchmark_json,
-        2: format_info_benchmark_json,
     }
 
     benchmark_version = benchmark_information[0]["test_format"]
@@ -2344,15 +2340,12 @@ def format_info_benchmark_json(config, benchmark_information):
     if benchmark_information["benchmark_result"] == "Running":
         return "Benchmark test is still running."
 
-    benchmark_format = benchmark_information["test_format"]
     benchmark_details = benchmark_information["benchmark_result"]
 
     # Format a nice output; do this line-by-line then concat the elements at the end
     ainformation = []
     ainformation.append(
-        "{}Storage Benchmark details (format {}):{}".format(
+        "{}Storage Benchmark details:{}".format(ansiprint.bold(), ansiprint.end())
-            ansiprint.bold(), benchmark_format, ansiprint.end()
-        )
     )
 
     nice_test_name_map = {
@@ -2400,7 +2393,7 @@ def format_info_benchmark_json(config, benchmark_information):
             if element[1] != 0:
                 useful_latency_tree.append(element)
 
-        max_rows = 5
+        max_rows = 9
         if len(useful_latency_tree) > 9:
             max_rows = len(useful_latency_tree)
         elif len(useful_latency_tree) < 9:
@@ -2409,10 +2402,15 @@ def format_info_benchmark_json(config, benchmark_information):
 
         # Format the static data
         overall_label = [
-            "BW/s:",
+            "Overall BW/s:",
-            "IOPS:",
+            "Overall IOPS:",
-            "I/O:",
+            "Total I/O:",
-            "Time:",
+            "Runtime (s):",
+            "User CPU %:",
+            "System CPU %:",
+            "Ctx Switches:",
+            "Major Faults:",
+            "Minor Faults:",
         ]
         while len(overall_label) < max_rows:
             overall_label.append("")
@@ -2421,149 +2419,68 @@ def format_info_benchmark_json(config, benchmark_information):
             format_bytes_tohuman(int(job_details[io_class]["bw_bytes"])),
             format_ops_tohuman(int(job_details[io_class]["iops"])),
             format_bytes_tohuman(int(job_details[io_class]["io_bytes"])),
-            str(job_details["job_runtime"] / 1000) + "s",
+            job_details["job_runtime"] / 1000,
+            job_details["usr_cpu"],
+            job_details["sys_cpu"],
+            job_details["ctx"],
+            job_details["majf"],
+            job_details["minf"],
         ]
         while len(overall_data) < max_rows:
             overall_data.append("")
 
-        cpu_label = [
-            "Total:",
-            "User:",
-            "Sys:",
-            "OSD:",
-            "MON:",
-        ]
-        while len(cpu_label) < max_rows:
-            cpu_label.append("")
-
-        cpu_data = [
-            (
-                benchmark_details[test]["avg_cpu_util_percent"]["total"]
-                if benchmark_format > 1
-                else "N/A"
-            ),
-            round(job_details["usr_cpu"], 2),
-            round(job_details["sys_cpu"], 2),
-            (
-                benchmark_details[test]["avg_cpu_util_percent"]["ceph-osd"]
-                if benchmark_format > 1
-                else "N/A"
-            ),
-            (
-                benchmark_details[test]["avg_cpu_util_percent"]["ceph-mon"]
-                if benchmark_format > 1
-                else "N/A"
-            ),
-        ]
-        while len(cpu_data) < max_rows:
-            cpu_data.append("")
-
-        memory_label = [
-            "Total:",
-            "OSD:",
-            "MON:",
-        ]
-        while len(memory_label) < max_rows:
-            memory_label.append("")
-
-        memory_data = [
-            (
-                benchmark_details[test]["avg_memory_util_percent"]["total"]
-                if benchmark_format > 1
-                else "N/A"
-            ),
-            (
-                benchmark_details[test]["avg_memory_util_percent"]["ceph-osd"]
-                if benchmark_format > 1
-                else "N/A"
-            ),
-            (
-                benchmark_details[test]["avg_memory_util_percent"]["ceph-mon"]
-                if benchmark_format > 1
-                else "N/A"
-            ),
-        ]
-        while len(memory_data) < max_rows:
-            memory_data.append("")
-
-        network_label = [
-            "Total:",
-            "Sent:",
-            "Recv:",
-        ]
-        while len(network_label) < max_rows:
-            network_label.append("")
-
-        network_data = [
-            (
-                format_bytes_tohuman(
-                    int(benchmark_details[test]["avg_network_util_bps"]["total"])
-                )
-                if benchmark_format > 1
-                else "N/A"
-            ),
-            (
-                format_bytes_tohuman(
-                    int(benchmark_details[test]["avg_network_util_bps"]["sent"])
-                )
-                if benchmark_format > 1
-                else "N/A"
-            ),
-            (
-                format_bytes_tohuman(
-                    int(benchmark_details[test]["avg_network_util_bps"]["recv"])
-                )
-                if benchmark_format > 1
-                else "N/A"
-            ),
-        ]
-        while len(network_data) < max_rows:
-            network_data.append("")
-
         bandwidth_label = [
             "Min:",
             "Max:",
             "Mean:",
             "StdDev:",
             "Samples:",
+            "",
+            "",
+            "",
+            "",
         ]
         while len(bandwidth_label) < max_rows:
             bandwidth_label.append("")
 
         bandwidth_data = [
-            format_bytes_tohuman(int(job_details[io_class]["bw_min"]) * 1024)
+            format_bytes_tohuman(int(job_details[io_class]["bw_min"]) * 1024),
-            + " / "
+            format_bytes_tohuman(int(job_details[io_class]["bw_max"]) * 1024),
-            + format_ops_tohuman(int(job_details[io_class]["iops_min"])),
+            format_bytes_tohuman(int(job_details[io_class]["bw_mean"]) * 1024),
-            format_bytes_tohuman(int(job_details[io_class]["bw_max"]) * 1024)
+            format_bytes_tohuman(int(job_details[io_class]["bw_dev"]) * 1024),
-            + " / "
+            job_details[io_class]["bw_samples"],
-            + format_ops_tohuman(int(job_details[io_class]["iops_max"])),
+            "",
-            format_bytes_tohuman(int(job_details[io_class]["bw_mean"]) * 1024)
+            "",
-            + " / "
+            "",
-            + format_ops_tohuman(int(job_details[io_class]["iops_mean"])),
+            "",
-            format_bytes_tohuman(int(job_details[io_class]["bw_dev"]) * 1024)
-            + " / "
-            + format_ops_tohuman(int(job_details[io_class]["iops_stddev"])),
-            str(job_details[io_class]["bw_samples"])
-            + " / "
-            + str(job_details[io_class]["iops_samples"]),
         ]
         while len(bandwidth_data) < max_rows:
             bandwidth_data.append("")
 
-        lat_label = [
+        iops_data = [
-            "Min:",
+            format_ops_tohuman(int(job_details[io_class]["iops_min"])),
-            "Max:",
+            format_ops_tohuman(int(job_details[io_class]["iops_max"])),
-            "Mean:",
+            format_ops_tohuman(int(job_details[io_class]["iops_mean"])),
-            "StdDev:",
+            format_ops_tohuman(int(job_details[io_class]["iops_stddev"])),
+            job_details[io_class]["iops_samples"],
+            "",
+            "",
+            "",
+            "",
         ]
-        while len(lat_label) < max_rows:
+        while len(iops_data) < max_rows:
-            lat_label.append("")
+            iops_data.append("")
 
         lat_data = [
             int(job_details[io_class]["lat_ns"]["min"]) / 1000,
             int(job_details[io_class]["lat_ns"]["max"]) / 1000,
             int(job_details[io_class]["lat_ns"]["mean"]) / 1000,
             int(job_details[io_class]["lat_ns"]["stddev"]) / 1000,
+            "",
+            "",
+            "",
+            "",
+            "",
         ]
         while len(lat_data) < max_rows:
             lat_data.append("")
@@ -2572,119 +2489,98 @@ def format_info_benchmark_json(config, benchmark_information):
         lat_bucket_label = list()
         lat_bucket_data = list()
         for element in useful_latency_tree:
-            lat_bucket_label.append(element[0] + ":" if element[0] else "")
+            lat_bucket_label.append(element[0])
-            lat_bucket_data.append(round(float(element[1]), 2) if element[1] else "")
+            lat_bucket_data.append(element[1])
-        while len(lat_bucket_label) < max_rows:
-            lat_bucket_label.append("")
-        while len(lat_bucket_data) < max_rows:
-            lat_bucket_label.append("")
 
         # Column default widths
-        overall_label_length = 5
+        overall_label_length = 0
         overall_column_length = 0
-        cpu_label_length = 6
+        bandwidth_label_length = 0
-        cpu_column_length = 0
+        bandwidth_column_length = 11
-        memory_label_length = 6
+        iops_column_length = 4
-        memory_column_length = 0
+        latency_column_length = 12
-        network_label_length = 6
-        network_column_length = 6
-        bandwidth_label_length = 8
-        bandwidth_column_length = 0
-        latency_label_length = 7
-        latency_column_length = 0
         latency_bucket_label_length = 0
-        latency_bucket_column_length = 0
 
         # Column layout:
-        #    Overall    CPU   Memory  Network  Bandwidth/IOPS  Latency   Percentiles
+        #    General    Bandwidth   IOPS      Latency   Percentiles
-        #    ---------  ----- ------- -------- --------------  --------  ---------------
+        #    ---------  ----------  --------  --------  ---------------
-        #    BW         Total Total   Total    Min             Min       A
+        #    Size       Min         Min       Min       A
-        #    IOPS       Usr   OSD     Send     Max             Max       B
+        #    BW         Max         Max       Max       B
-        #    Time       Sys   MON     Recv     Mean            Mean      ...
+        #    IOPS       Mean        Mean      Mean      ...
-        #    Size       OSD                    StdDev          StdDev    Z
+        #    Runtime    StdDev      StdDev    StdDev    Z
-        #               MON                    Samples
+        #    UsrCPU     Samples     Samples
+        #    SysCPU
+        #    CtxSw
+        #    MajFault
+        #    MinFault
 
         # Set column widths
+        for item in overall_label:
+            _item_length = len(str(item))
+            if _item_length > overall_label_length:
+                overall_label_length = _item_length
+
         for item in overall_data:
             _item_length = len(str(item))
             if _item_length > overall_column_length:
                 overall_column_length = _item_length
 
-        for item in cpu_data:
+        test_name_length = len(nice_test_name_map[test])
-            _item_length = len(str(item))
+        if test_name_length > overall_label_length + overall_column_length:
-            if _item_length > cpu_column_length:
+            _diff = test_name_length - (overall_label_length + overall_column_length)
-                cpu_column_length = _item_length
+            overall_column_length += _diff
 
-        for item in memory_data:
+        for item in bandwidth_label:
             _item_length = len(str(item))
-            if _item_length > memory_column_length:
+            if _item_length > bandwidth_label_length:
-                memory_column_length = _item_length
+                bandwidth_label_length = _item_length
-
-        for item in network_data:
-            _item_length = len(str(item))
-            if _item_length > network_column_length:
-                network_column_length = _item_length
 
         for item in bandwidth_data:
             _item_length = len(str(item))
             if _item_length > bandwidth_column_length:
                 bandwidth_column_length = _item_length
 
+        for item in iops_data:
+            _item_length = len(str(item))
+            if _item_length > iops_column_length:
+                iops_column_length = _item_length
+
         for item in lat_data:
             _item_length = len(str(item))
             if _item_length > latency_column_length:
                 latency_column_length = _item_length
 
-        for item in lat_bucket_data:
+        for item in lat_bucket_label:
             _item_length = len(str(item))
-            if _item_length > latency_bucket_column_length:
+            if _item_length > latency_bucket_label_length:
-                latency_bucket_column_length = _item_length
+                latency_bucket_label_length = _item_length
 
         # Top row (Headers)
         ainformation.append(
-            "{bold}{overall_label: <{overall_label_length}} {header_fill}{end_bold}".format(
+            "{bold}\
+{overall_label: <{overall_label_length}}    \
+{bandwidth_label: <{bandwidth_label_length}} \
+{bandwidth: <{bandwidth_length}}   \
+{iops: <{iops_length}}   \
+{latency: <{latency_length}}   \
+{latency_bucket_label: <{latency_bucket_label_length}} \
+{latency_bucket} \
+{end_bold}".format(
                 bold=ansiprint.bold(),
                 end_bold=ansiprint.end(),
                 overall_label=nice_test_name_map[test],
                 overall_label_length=overall_label_length,
-                header_fill="-"
+                bandwidth_label="",
-                * (
+                bandwidth_label_length=bandwidth_label_length,
-                    (MAX_CONTENT_WIDTH if MAX_CONTENT_WIDTH <= 120 else 120)
+                bandwidth="Bandwidth/s",
-                    - len(nice_test_name_map[test])
+                bandwidth_length=bandwidth_column_length,
-                    - 4
+                iops="IOPS",
-                ),
+                iops_length=iops_column_length,
-            )
+                latency="Latency (μs)",
-        )
+                latency_length=latency_column_length,
-
+                latency_bucket_label="Latency Buckets (μs/%)",
-        ainformation.append(
+                latency_bucket_label_length=latency_bucket_label_length,
-            "{bold}\
+                latency_bucket="",
-{overall_label: <{overall_label_length}}  \
-{cpu_label: <{cpu_label_length}}  \
-{memory_label: <{memory_label_length}}  \
-{network_label: <{network_label_length}}  \
-{bandwidth_label: <{bandwidth_label_length}}  \
-{latency_label: <{latency_label_length}}  \
-{latency_bucket_label: <{latency_bucket_label_length}}\
-{end_bold}".format(
-                bold=ansiprint.bold(),
-                end_bold=ansiprint.end(),
-                overall_label="Overall",
-                overall_label_length=overall_label_length + overall_column_length + 1,
-                cpu_label="CPU (%)",
-                cpu_label_length=cpu_label_length + cpu_column_length + 1,
-                memory_label="Memory (%)",
-                memory_label_length=memory_label_length + memory_column_length + 1,
-                network_label="Network (bps)",
-                network_label_length=network_label_length + network_column_length + 1,
-                bandwidth_label="Bandwidth / IOPS",
-                bandwidth_label_length=bandwidth_label_length
-                + bandwidth_column_length
-                + 1,
-                latency_label="Latency (μs)",
-                latency_label_length=latency_label_length + latency_column_length + 1,
-                latency_bucket_label="Buckets (μs/%)",
-                latency_bucket_label_length=latency_bucket_label_length
-                + latency_bucket_column_length,
             )
         )
 
@@ -2692,19 +2588,13 @@ def format_info_benchmark_json(config, benchmark_information):
             # Top row (Headers)
             ainformation.append(
                 "{bold}\
-{overall_label: <{overall_label_length}} \
+{overall_label: >{overall_label_length}} \
 {overall: <{overall_length}}   \
-{cpu_label: <{cpu_label_length}} \
+{bandwidth_label: >{bandwidth_label_length}} \
-{cpu: <{cpu_length}}  \
-{memory_label: <{memory_label_length}} \
-{memory: <{memory_length}}  \
-{network_label: <{network_label_length}} \
-{network: <{network_length}}  \
-{bandwidth_label: <{bandwidth_label_length}} \
 {bandwidth: <{bandwidth_length}}   \
-{latency_label: <{latency_label_length}} \
+{iops: <{iops_length}}   \
 {latency: <{latency_length}}   \
-{latency_bucket_label: <{latency_bucket_label_length}} \
+{latency_bucket_label: >{latency_bucket_label_length}} \
 {latency_bucket} \
 {end_bold}".format(
                     bold="",
@@ -2713,24 +2603,12 @@ def format_info_benchmark_json(config, benchmark_information):
                     overall_label_length=overall_label_length,
                     overall=overall_data[idx],
                     overall_length=overall_column_length,
-                    cpu_label=cpu_label[idx],
-                    cpu_label_length=cpu_label_length,
-                    cpu=cpu_data[idx],
-                    cpu_length=cpu_column_length,
-                    memory_label=memory_label[idx],
-                    memory_label_length=memory_label_length,
-                    memory=memory_data[idx],
-                    memory_length=memory_column_length,
-                    network_label=network_label[idx],
-                    network_label_length=network_label_length,
-                    network=network_data[idx],
-                    network_length=network_column_length,
                     bandwidth_label=bandwidth_label[idx],
                     bandwidth_label_length=bandwidth_label_length,
                     bandwidth=bandwidth_data[idx],
                     bandwidth_length=bandwidth_column_length,
-                    latency_label=lat_label[idx],
+                    iops=iops_data[idx],
-                    latency_label_length=latency_label_length,
+                    iops_length=iops_column_length,
                     latency=lat_data[idx],
                     latency_length=latency_column_length,
                     latency_bucket_label=lat_bucket_label[idx],
@@ -2739,4 +2617,4 @@ def format_info_benchmark_json(config, benchmark_information):
                 )
             )
 
-    return "\n".join(ainformation) + "\n"
+    return "\n".join(ainformation)

daemon-common/benchmark.py

@@ -19,34 +19,31 @@
 #
 ###############################################################################
 
-import os
-import psutil
 import psycopg2
 import psycopg2.extras
-import subprocess
 
 from datetime import datetime
 from json import loads, dumps
-from time import sleep
 
 from daemon_lib.celery import start, fail, log_info, update, finish
 
+import daemon_lib.common as pvc_common
 import daemon_lib.ceph as pvc_ceph
 
 
 # Define the current test format
-TEST_FORMAT = 2
+TEST_FORMAT = 1
 
 
 # We run a total of 8 tests, to give a generalized idea of performance on the cluster:
-#   1. A sequential read test of 64GB with a 4M block size
+#   1. A sequential read test of 8GB with a 4M block size
-#   2. A sequential write test of 64GB with a 4M block size
+#   2. A sequential write test of 8GB with a 4M block size
-#   3. A random read test of 64GB with a 4M block size
+#   3. A random read test of 8GB with a 4M block size
-#   4. A random write test of 64GB with a 4M block size
+#   4. A random write test of 8GB with a 4M block size
-#   5. A random read test of 64GB with a 256k block size
+#   5. A random read test of 8GB with a 256k block size
-#   6. A random write test of 64GB with a 256k block size
+#   6. A random write test of 8GB with a 256k block size
-#   7. A random read test of 64GB with a 4k block size
+#   7. A random read test of 8GB with a 4k block size
-#   8. A random write test of 64GB with a 4k block size
+#   8. A random write test of 8GB with a 4k block size
 # Taken together, these 8 results should give a very good indication of the overall storage performance
 # for a variety of workloads.
 test_matrix = {
@@ -103,7 +100,7 @@ test_matrix = {
 
 # Specify the benchmark volume name and size
 benchmark_volume_name = "pvcbenchmark"
-benchmark_volume_size = "64G"
+benchmark_volume_size = "8G"
 
 
 #
@@ -229,7 +226,7 @@ def cleanup_benchmark_volume(
 
 
 def run_benchmark_job(
-    config, test, pool, job_name=None, db_conn=None, db_cur=None, zkhandler=None
+    test, pool, job_name=None, db_conn=None, db_cur=None, zkhandler=None
 ):
     test_spec = test_matrix[test]
     log_info(None, f"Running test '{test}'")
@@ -259,165 +256,31 @@ def run_benchmark_job(
     )
 
     log_info(None, "Running fio job: {}".format(" ".join(fio_cmd.split())))
-
+    retcode, stdout, stderr = pvc_common.run_os_command(fio_cmd)
-    # Run the fio command manually instead of using our run_os_command wrapper
-    # This will help us gather statistics about this node while it's running
-    process = subprocess.Popen(
-        fio_cmd.split(),
-        stdout=subprocess.PIPE,
-        stderr=subprocess.PIPE,
-        text=True,
-    )
-
-    # Wait 15 seconds for the test to start
-    log_info(None, "Waiting 15 seconds for test resource stabilization")
-    sleep(15)
-
-    # Set up function to get process CPU utilization by name
-    def get_cpu_utilization_by_name(process_name):
-        cpu_usage = 0
-        for proc in psutil.process_iter(["name", "cpu_percent"]):
-            if proc.info["name"] == process_name:
-                cpu_usage += proc.info["cpu_percent"]
-        return cpu_usage
-
-    # Set up function to get process memory utilization by name
-    def get_memory_utilization_by_name(process_name):
-        memory_usage = 0
-        for proc in psutil.process_iter(["name", "memory_percent"]):
-            if proc.info["name"] == process_name:
-                memory_usage += proc.info["memory_percent"]
-        return memory_usage
-
-    # Set up function to get network traffic utilization in bps
-    def get_network_traffic_bps(interface, duration=1):
-        # Get initial network counters
-        net_io_start = psutil.net_io_counters(pernic=True)
-        if interface not in net_io_start:
-            return None, None
-
-        stats_start = net_io_start[interface]
-        bytes_sent_start = stats_start.bytes_sent
-        bytes_recv_start = stats_start.bytes_recv
-
-        # Wait for the specified duration
-        sleep(duration)
-
-        # Get final network counters
-        net_io_end = psutil.net_io_counters(pernic=True)
-        stats_end = net_io_end[interface]
-        bytes_sent_end = stats_end.bytes_sent
-        bytes_recv_end = stats_end.bytes_recv
-
-        # Calculate bytes per second
-        bytes_sent_per_sec = (bytes_sent_end - bytes_sent_start) / duration
-        bytes_recv_per_sec = (bytes_recv_end - bytes_recv_start) / duration
-
-        # Convert to bits per second (bps)
-        bits_sent_per_sec = bytes_sent_per_sec * 8
-        bits_recv_per_sec = bytes_recv_per_sec * 8
-        bits_total_per_sec = bits_sent_per_sec + bits_recv_per_sec
-
-        return bits_sent_per_sec, bits_recv_per_sec, bits_total_per_sec
-
-    log_info(None, f"Starting system resource polling for test '{test}'")
-    storage_interface = config["storage_dev"]
-    total_cpus = psutil.cpu_count(logical=True)
-    ticks = 1
-    osd_cpu_utilization = 0
-    osd_memory_utilization = 0
-    mon_cpu_utilization = 0
-    mon_memory_utilization = 0
-    total_cpu_utilization = 0
-    total_memory_utilization = 0
-    storage_sent_bps = 0
-    storage_recv_bps = 0
-    storage_total_bps = 0
-
-    while process.poll() is None:
-        # Do collection of statistics like network bandwidth and cpu utilization
-        current_osd_cpu_utilization = get_cpu_utilization_by_name("ceph-osd")
-        current_osd_memory_utilization = get_memory_utilization_by_name("ceph-osd")
-        current_mon_cpu_utilization = get_cpu_utilization_by_name("ceph-mon")
-        current_mon_memory_utilization = get_memory_utilization_by_name("ceph-mon")
-        current_total_cpu_utilization = psutil.cpu_percent(interval=1)
-        current_total_memory_utilization = psutil.virtual_memory().percent
-        (
-            current_storage_sent_bps,
-            current_storage_recv_bps,
-            current_storage_total_bps,
-        ) = get_network_traffic_bps(storage_interface)
-        # Recheck if the process is done yet; if it's not, we add the values and increase the ticks
-        # This helps ensure that if the process finishes earlier than the longer polls above,
-        # this particular tick isn't counted which can skew the average
-        if process.poll() is None:
-            osd_cpu_utilization += current_osd_cpu_utilization
-            osd_memory_utilization += current_osd_memory_utilization
-            mon_cpu_utilization += current_mon_cpu_utilization
-            mon_memory_utilization += current_mon_memory_utilization
-            total_cpu_utilization += current_total_cpu_utilization
-            total_memory_utilization += current_total_memory_utilization
-            storage_sent_bps += current_storage_sent_bps
-            storage_recv_bps += current_storage_recv_bps
-            storage_total_bps += current_storage_total_bps
-            ticks += 1
-
-    # Get the 1-minute load average and CPU utilization, which covers the test duration
-    load1, _, _ = os.getloadavg()
-    load1 = round(load1, 2)
-
-    # Calculate the average CPU utilization values over the runtime
-    # Divide the OSD and MON CPU utilization by the total number of CPU cores, because
-    # the total is divided this way
-    avg_osd_cpu_utilization = round(osd_cpu_utilization / ticks / total_cpus, 2)
-    avg_osd_memory_utilization = round(osd_memory_utilization / ticks, 2)
-    avg_mon_cpu_utilization = round(mon_cpu_utilization / ticks / total_cpus, 2)
-    avg_mon_memory_utilization = round(mon_memory_utilization / ticks, 2)
-    avg_total_cpu_utilization = round(total_cpu_utilization / ticks, 2)
-    avg_total_memory_utilization = round(total_memory_utilization / ticks, 2)
-    avg_storage_sent_bps = round(storage_sent_bps / ticks, 2)
-    avg_storage_recv_bps = round(storage_recv_bps / ticks, 2)
-    avg_storage_total_bps = round(storage_total_bps / ticks, 2)
-
-    stdout, stderr = process.communicate()
-    retcode = process.returncode
-
-    resource_data = {
-        "avg_cpu_util_percent": {
-            "total": avg_total_cpu_utilization,
-            "ceph-mon": avg_mon_cpu_utilization,
-            "ceph-osd": avg_osd_cpu_utilization,
-        },
-        "avg_memory_util_percent": {
-            "total": avg_total_memory_utilization,
-            "ceph-mon": avg_mon_memory_utilization,
-            "ceph-osd": avg_osd_memory_utilization,
-        },
-        "avg_network_util_bps": {
-            "sent": avg_storage_sent_bps,
-            "recv": avg_storage_recv_bps,
-            "total": avg_storage_total_bps,
-        },
-    }
-
     try:
         jstdout = loads(stdout)
         if retcode:
             raise
     except Exception:
-        return None, None
+        cleanup(
+            job_name,
+            db_conn=db_conn,
+            db_cur=db_cur,
+            zkhandler=zkhandler,
+        )
+        fail(
+            None,
+            f"Failed to run fio test '{test}': {stderr}",
+        )
 
-    return resource_data, jstdout
+    return jstdout
 
 
-def worker_run_benchmark(zkhandler, celery, config, pool, name):
+def worker_run_benchmark(zkhandler, celery, config, pool):
     # Phase 0 - connect to databases
-    if not name:
     cur_time = datetime.now().isoformat(timespec="seconds")
     cur_primary = zkhandler.read("base.config.primary_node")
     job_name = f"{cur_time}_{cur_primary}"
-    else:
-        job_name = name
 
     current_stage = 0
     total_stages = 13
@@ -495,8 +358,7 @@ def worker_run_benchmark(zkhandler, celery, config, pool, name):
             total=total_stages,
         )
 
-        resource_data, fio_data = run_benchmark_job(
+        results[test] = run_benchmark_job(
-            config,
             test,
             pool,
             job_name=job_name,
@@ -504,25 +366,6 @@ def worker_run_benchmark(zkhandler, celery, config, pool, name):
             db_cur=db_cur,
             zkhandler=zkhandler,
         )
-        if resource_data is None or fio_data is None:
-            cleanup_benchmark_volume(
-                pool,
-                job_name=job_name,
-                db_conn=db_conn,
-                db_cur=db_cur,
-                zkhandler=zkhandler,
-            )
-            cleanup(
-                job_name,
-                db_conn=db_conn,
-                db_cur=db_cur,
-                zkhandler=zkhandler,
-            )
-            fail(
-                None,
-                f"Failed to run fio test '{test}'",
-            )
-        results[test] = {**resource_data, **fio_data}
 
     # Phase 3 - cleanup
     current_stage += 1

debian/control

@@ -32,7 +32,7 @@ Description: Parallel Virtual Cluster worker daemon
 
 Package: pvc-daemon-api
 Architecture: all
-Depends: systemd, pvc-daemon-common, gunicorn, python3-gunicorn, python3-yaml, python3-flask, python3-flask-restful, python3-celery, python3-distutils, python3-redis, python3-lxml, python3-flask-migrate
+Depends: systemd, pvc-daemon-common, python3-yaml, python3-flask, python3-flask-restful, python3-celery, python3-distutils, python3-redis, python3-lxml, python3-flask-migrate
 Description: Parallel Virtual Cluster API daemon
  A KVM/Zookeeper/Ceph-based VM and private cloud manager
  .

worker-daemon/pvcworkerd/Daemon.py

@@ -96,12 +96,12 @@ def create_vm(
 
 
 @celery.task(name="storage.benchmark", bind=True, routing_key="run_on")
-def storage_benchmark(self, pool=None, name=None, run_on="primary"):
+def storage_benchmark(self, pool=None, run_on="primary"):
     @ZKConnection(config)
-    def run_storage_benchmark(zkhandler, self, pool, name):
+    def run_storage_benchmark(zkhandler, self, pool):
-        return worker_run_benchmark(zkhandler, self, config, pool, name)
+        return worker_run_benchmark(zkhandler, self, config, pool)
 
-    return run_storage_benchmark(self, pool, name)
+    return run_storage_benchmark(self, pool)
 
 
 @celery.task(name="cluster.autobackup", bind=True, routing_key="run_on")