Include SCAN <cursor> benchmarks.

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "redis-benchmarks-specification"
-version = "0.2.54"
+version = "0.2.55"
 description = "The Redis benchmarks specification describes the cross-language/tools requirements and expectations to foster performance and observability standards around redis related technologies. Members from both industry and academia, including organizations and individuals are encouraged to contribute."
 authors = ["filipecosta90 <filipecosta.90@gmail.com>","Redis Performance Group <performance@redis.com>"]
 readme = "Readme.md"

redis_benchmarks_specification/test-suites/memtier_benchmark-1Mkeys-generic-scan-count-10-incremental-iteration-high-cursor-count.yml

@@ -0,0 +1,41 @@
+version: 0.4
+name: memtier_benchmark-1Mkeys-generic-scan-count-10-incremental-iteration-high-cursor-count
+description: Runs memtier_benchmark, for a keyspace length of 1M keys focusing on
+  SCAN performance iterating over the keyspace, with 1K connections, meaning we always have 1K cursors open at any given time.
+dbconfig:
+  configuration-parameters:
+    save: '""'
+  check:
+    keyspacelen: 1000000
+  preload_tool:
+    run_image: redislabs/memtier_benchmark:edge
+    tool: memtier_benchmark
+    arguments: '"--pipeline" "100" "--data-size" "100" "--command" "HSET __key__ field
+      __data__" "--command-key-pattern" "P" "-c" "50" "-t" "2" "--hide-histogram"
+      "--key-minimum" "1" --pipeline 50'
+  resources:
+    requests:
+      memory: 1g
+  dataset_name: 1Mkeys-hash-1-field-100B-size
+  dataset_description: This dataset contains 1 million hash keys, each with 1 field
+    and each field has a data size of 100 bytes.
+tested-commands:
+- scan
+tested-groups:
+- generic
+redis-topologies:
+- oss-standalone
+build-variants:
+- gcc:15.2.0-amd64-debian-bookworm-default
+- gcc:15.2.0-arm64-debian-bookworm-default
+- dockerhub
+clientconfig:
+  run_image: redislabs/memtier_benchmark:edge
+  tool: memtier_benchmark
+  arguments: --command "SCAN 0 COUNT 10" --scan-incremental-iteration --pipeline 1 --command-key-pattern="R"
+    -c 125 -t 8 --hide-histogram --test-time 180
+  resources:
+    requests:
+      cpus: '2'
+      memory: 2g
+priority: 44

redis_benchmarks_specification/test-suites/memtier_benchmark-1Mkeys-generic-scan-count-10-incremental-iteration.yml

@@ -0,0 +1,41 @@
+version: 0.4
+name: memtier_benchmark-1Mkeys-generic-scan-count-10-incremental-iteration
+description: Runs memtier_benchmark, for a keyspace length of 1M keys focusing on
+  SCAN performance iterating over the keyspace.
+dbconfig:
+  configuration-parameters:
+    save: '""'
+  check:
+    keyspacelen: 1000000
+  preload_tool:
+    run_image: redislabs/memtier_benchmark:edge
+    tool: memtier_benchmark
+    arguments: '"--pipeline" "100" "--data-size" "100" "--command" "HSET __key__ field
+      __data__" "--command-key-pattern" "P" "-c" "50" "-t" "2" "--hide-histogram"
+      "--key-minimum" "1" --pipeline 50'
+  resources:
+    requests:
+      memory: 1g
+  dataset_name: 1Mkeys-hash-1-field-100B-size
+  dataset_description: This dataset contains 1 million hash keys, each with 1 field
+    and each field has a data size of 100 bytes.
+tested-commands:
+- scan
+tested-groups:
+- generic
+redis-topologies:
+- oss-standalone
+build-variants:
+- gcc:15.2.0-amd64-debian-bookworm-default
+- gcc:15.2.0-arm64-debian-bookworm-default
+- dockerhub
+clientconfig:
+  run_image: redislabs/memtier_benchmark:edge
+  tool: memtier_benchmark
+  arguments: --command "SCAN 0 COUNT 10" --scan-incremental-iteration --pipeline 1 --command-key-pattern="R"
+    -c 50 -t 2 --hide-histogram --test-time 180
+  resources:
+    requests:
+      cpus: '2'
+      memory: 2g
+priority: 44

redis_benchmarks_specification/test-suites/memtier_benchmark-1Mkeys-generic-scan-count-500-incremental-iteration.yml

@@ -0,0 +1,41 @@
+version: 0.4
+name: memtier_benchmark-1Mkeys-generic-scan-count-500-incremental-iteration
+description: Runs memtier_benchmark, for a keyspace length of 1M keys focusing on
+  SCAN performance with large COUNT and iterating over the keyspace.
+dbconfig:
+  configuration-parameters:
+    save: '""'
+  check:
+    keyspacelen: 1000000
+  preload_tool:
+    run_image: redislabs/memtier_benchmark:edge
+    tool: memtier_benchmark
+    arguments: '"--pipeline" "100" "--data-size" "100" "--command" "HSET __key__ field
+      __data__" "--command-key-pattern" "P" "-c" "50" "-t" "2" "--hide-histogram"
+      "--key-minimum" "1" --pipeline 50'
+  resources:
+    requests:
+      memory: 1g
+  dataset_name: 1Mkeys-hash-1-field-100B-size
+  dataset_description: This dataset contains 1 million hash keys, each with 1 field
+    and each field has a data size of 100 bytes.
+tested-commands:
+- scan
+tested-groups:
+- generic
+redis-topologies:
+- oss-standalone
+build-variants:
+- gcc:15.2.0-amd64-debian-bookworm-default
+- gcc:15.2.0-arm64-debian-bookworm-default
+- dockerhub
+clientconfig:
+  run_image: redislabs/memtier_benchmark:edge
+  tool: memtier_benchmark
+  arguments: --command "SCAN 0 COUNT 500" --scan-incremental-iteration --pipeline 1 --command-key-pattern="R"
+    -c 50 -t 2 --hide-histogram --test-time 180
+  resources:
+    requests:
+      cpus: '2'
+      memory: 2g
+priority: 44