DAOS-18903 test: speedup ftest/nvme/io.py (#18370)

Speedup ftest/nvme/io.py by:
- Increasing the client processes
- Reducing some aggregate file sizes

Signed-off-by: Dalton Bohning <dalton.bohning@hpe.com>

Author: daltonbohning

src/tests/ftest/nvme/io.py

@@ -1,5 +1,6 @@
 """
   (C) Copyright 2020-2023 Intel Corporation.
+  (C) Copyright 2026 Hewlett Packard Enterprise Development LP
 
   SPDX-License-Identifier: BSD-2-Clause-Patent
 """
@@ -47,10 +48,13 @@ def test_nvme_io(self):
                 size_before_ior = self.pool.info
 
                 # Run ior with the parameters specified for this pass
-                self.ior_cmd.transfer_size.update(ior_param[1])
-                self.ior_cmd.block_size.update(ior_param[2])
-                self.ior_cmd.dfs_oclass.update(obj_type)
-                self.ior_cmd.set_daos_params(self.pool, self.container.identifier)
+                self.ior_cmd.update_params(
+                    transfer_size=ior_param[1],
+                    block_size=ior_param[2],
+                    dfs_oclass=obj_type,
+                    dfs_pool=self.pool.identifier,
+                    dfs_cont=self.container.identifier
+                )
                 self.run_ior(self.get_ior_job_manager_command(), ior_param[3])
 
                 # Verify IOR consumed the expected amount from the pool

src/tests/ftest/nvme/io.yaml

@@ -2,7 +2,7 @@ hosts:
   test_servers: 4
   test_clients: 1
 
-timeout: 28800
+timeout: 10800
 
 server_config:
   name: daos_server
@@ -14,14 +14,13 @@ server_config:
 
 pool:
   properties: rd_fac:0,space_rb:0,reclaim:disabled
+  set_logmasks: False  # The test creates ~100 pools so do not set log masks for each pool
 
 container:
-  control_method: daos
   type: POSIX
 
 ior:
   flags: -w -r -k -vv
-  repetitions: 1
   test_file: /testFile
   object_type:
     - SX
@@ -36,14 +35,14 @@ ior:
   dfs_destroy: false
   ior_sequence:
     # - [pool_size, transfer_size, block_size, client_slots]
-    - [75%, 1048576, 17179869184, 1]        # [75%, 1M, 16G, 1]
-    - [900G, 4096, 1073741824, 1]           # [900G, 4k, 1G, 1]
-    - [900G, 2048, 838860800, 1]            # [900G, 2k, 800M, 1]
-    - [4%, 8, 10485760, 1]                  # [4%, 8B, 10M, 1]
-    - [4%, 24, 25165824, 1]                 # [4%, 24B, 24M, 1]
-    - [4%, 2056, 4227136, 1]                # [4%, 2056B, 4M, 1]
-    - [95%, 134217728, 34359738368, 1]      # [95%, 128M, 32G, 1]
-    - [40%, 32, 44040192, 1]                # [40%, 32B, 42M, 1]
-    - [95%, 2048, 1073741824, 2]            # [95%, 2k, 1G, 2]
-    - [95%, 8, 10485760, 2]                 # [95%, 8B, 10M, 2]
-    - [95%, 33554432, 8589934592, 5]        # [95%, 32M, 8G, 5]
+    - [75%, 1048576, 2147483648, 8]         # [75%, 1M, 2G, 8]
+    - [900G, 4096, 134217728, 8]            # [900G, 4k, 128K, 8]
+    - [900G, 2048, 104857600, 8]            # [900G, 2k, 100M, 8]
+    - [4%, 8, 1048576, 8]                   # [4%, 8B, 1M, 8]
+    - [4%, 24, 3145728, 8]                  # [4%, 24B, 3M, 8]
+    - [4%, 2056, 528392, 8]                 # [4%, 2056B, 512K, 8]
+    - [95%, 134217728, 4294967296, 8]       # [95%, 128M, 4G, 8]
+    - [40%, 32, 4194304, 8]                 # [40%, 32B, 4M, 8]
+    - [95%, 2048, 268435456, 8]             # [95%, 2k, 256K, 8]
+    - [95%, 8, 1048576, 8]                  # [95%, 8B, 1M, 8]
+    - [95%, 33554432, 4294967296, 8]        # [95%, 32M, 4G, 8]