Add procedures to split indexing, search and merge

For large dataset, users might prefer to do indexing,
search, force merge as different test execution. To support
this use case, added three additional procedure,
1)index only, 2)force-merge 3)search-only. This can be used
in nightly to run search workload every day without indexing
everytime.

Signed-off-by: Vijayan Balasubramanian <balasvij@amazon.com>

vectorsearch/test_procedures/default.json

@@ -55,6 +55,96 @@
                 "name": "prod-queries",
                 "operation-type": "vector-search",
                 "index": "{{ target_index_name | default('target_index') }}",
+                "detailed-results": true,
+                "k": {{ query_k  | default(100) }},
+                "field" : "{{ target_field_name | default('target_field') }}",
+                "data_set_format" : "{{ query_data_set_format | default('hdf5') }}",
+                "data_set_path" : "{{ query_data_set_path }}",
+                "data_set_corpus" : "{{ query_data_set_corpus }}",
+                "neighbors_data_set_path" : "{{ neighbors_data_set_path }}",
+                "neighbors_data_set_corpus" : "{{ neighbors_data_set_corpus }}",
+                "neighbors_data_set_format" : "{{ neighbors_data_set_format | default('hdf5') }}",
+                "num_vectors" : {{ query_count | default(-1) }},
+                "id-field-name": "{{ id_field_name }}",
+                "body": {{ query_body | default ({}) | tojson }}    
+            },
+            "clients": {{ search_clients | default(1)}}
+        }
+    ]
+},
+{
+    "name": "no-train-test-only-index",
+    "description": "Perform only indexing operation for vector search",
+    "schedule": [
+       {
+            "operation": {
+                "name": "delete-target-index",
+                "operation-type": "delete-index",
+                "only-if-exists": true,
+                "index": "{{ target_index_name | default('target_index') }}"
+            }
+        },
+        {
+            "operation": {
+                "name": "create-target-index",
+                "operation-type": "create-index",
+                "index": "{{ target_index_name | default('target_index') }}"
+            }
+        },
+        {
+            "operation": {
+                "name": "custom-vector-bulk",
+                "operation-type": "bulk-vector-data-set",
+                "index": "{{ target_index_name | default('target_index') }}",
+                "field": "{{ target_field_name | default('target_field') }}",
+                "bulk_size": {{ target_index_bulk_size | default(500)}},
+                "data_set_format": "{{ target_index_bulk_index_data_set_format | default('hdf5') }}",
+                "data_set_path": "{{ target_index_bulk_index_data_set_path  }}",
+                "data_set_corpus": "{{ target_index_bulk_index_data_set_corpus  }}",
+                "num_vectors": {{ target_index_num_vectors | default(-1) }},
+                "id-field-name": "{{ id_field_name }}"
+            },
+            "clients": {{ target_index_bulk_indexing_clients | default(1)}}
+        },
+        {
+            "name" : "refresh-target-index-before-force-merge",
+            "operation" : "refresh-target-index"
+        }
+    ]
+},
+{
+    "name": "force-merge-index",
+    "description": "Force merge vector search index",
+    "schedule": [
+        {
+            "name" : "refresh-target-index-before-force-merge",
+            "operation" : "refresh-target-index"
+        },
+        {
+            "name" : "force-merge-segments",
+            "operation" : "force-merge"
+        },
+        {
+            "name" : "refresh-target-index-after-force-merge",
+            "operation" : "refresh-target-index"
+        }
+    ]
+},
+{
+    "name": "no-train-test-only-search",
+    "description": "Perform only vector search on previosuly indexed cluster.",
+    "schedule": [
+        {
+            "name" : "warmup-indices",
+            "operation" : "warmup-indices",
+            "index": "{{ target_index_name | default('target_index') }}"
+        },
+        {
+            "operation": {
+                "name": "prod-queries",
+                "operation-type": "vector-search",
+                "detailed-results": true,
+                "index": "{{ target_index_name | default('target_index') }}",
                 "k": {{ query_k  | default(100) }},
                 "field" : "{{ target_field_name | default('target_field') }}",
                 "data_set_format" : "{{ query_data_set_format | default('hdf5') }}",