Add cachebench test configs with large cache size

Summary:
We ran the following configuration configuration on CacheBench on a machine with 1.2TB of RAM to test if we can create large caches using the 5-byte compressed pointer.

This we ran on T2:

===JSON Config===
{
  "cache_config": {
    "cacheSizeMB": 820616,
    "allocSizes": [4194304],
    "allocator": "LRU5B2Q"
  },
  "test_config":
    {
      "name": "stressor",
      "enableLookaside": true,
      "getRatio": 0.7684563460126871,
      "keySizeRange": [
        1,
        8,
        64
      ],
      "keySizeRangeProbability": [
        0.3,
        0.7
      ],
      "loneGetRatio": 0.2315436539873129,
      "numKeys": 1000000,
      "numOps": 5000000,
      "numThreads": 32,
      "valSizeRange": [
        4190000,
        4194000
      ],
      "valSizeRangeProbability": [
        1.0
      ]
    }

}

Welcome to FB-internal version of cachebench
Created 885,900 keys in 0.00 mins
Generating 160.00M sampled accesses
Generated access patterns in 0.02 mins
Total 160.00M ops to be run
09:30:29       0.00M ops completed. Hit Ratio   0.00% (RAM   0.00%, NVM   0.00%), 0 items in cache
09:31:29       0.70M ops completed. Hit Ratio  13.34% (RAM  13.34%, NVM   0.00%), 205121 items in cache
09:32:29       2.65M ops completed. Hit Ratio  15.54% (RAM  15.54%, NVM   0.00%), 205121 items in cache
09:33:29       4.60M ops completed. Hit Ratio  15.60% (RAM  15.60%, NVM   0.00%), 205121 items in cache

Reviewed By: haowu14

Differential Revision: D68662795

fbshipit-source-id: f0e11df50aef4010bbf6ce58d1cc72f12d9cac85

Author: Pranav Bhandari

cachelib/cachebench/runner/ProgressTracker.cpp

@@ -51,10 +51,11 @@ void ProgressTracker::work() {
   auto [overallHitRatio, ramHitRatio, nvmHitRatio] =
       currCacheStats.getHitRatios(prevStats_);
   auto thStr = folly::sformat(
-      "{} {:>10.2f}M ops completed. Hit Ratio {:6.2f}% "
-      "(RAM {:6.2f}%, NVM {:6.2f}%)",
+      "{} {:>10.2f}M ops completed. {} items in cache. Hit Ratio {:6.2f}% "
+      "(RAM {:6.2f}%, NVM {:6.2f}%).",
       buf,
       mOpsPerSec,
+      currCacheStats.numItems,
       overallHitRatio,
       ramHitRatio,
       nvmHitRatio);

cachelib/cachebench/runner/Stressor.cpp

@@ -200,7 +200,7 @@ std::unique_ptr<Stressor> Stressor::makeStressor(
     } else if (cacheConfig.allocator == "LRU5B") {
       return std::make_unique<AsyncCacheStressor<Lru5BAllocator>>(
           cacheConfig, stressorConfig, std::move(generator));
-    } else if (cacheConfig.allocator == "LRU2Q5B") {
+    } else if (cacheConfig.allocator == "LRU5B2Q") {
       return std::make_unique<AsyncCacheStressor<Lru5B2QAllocator>>(
           cacheConfig, stressorConfig, std::move(generator));
     }
@@ -214,10 +214,10 @@ std::unique_ptr<Stressor> Stressor::makeStressor(
       return std::make_unique<CacheStressor<Lru2QAllocator>>(
           cacheConfig, stressorConfig, std::move(generator));
     } else if (cacheConfig.allocator == "LRU5B") {
-      return std::make_unique<AsyncCacheStressor<Lru5BAllocator>>(
+      return std::make_unique<CacheStressor<Lru5BAllocator>>(
           cacheConfig, stressorConfig, std::move(generator));
-    } else if (cacheConfig.allocator == "LRU2Q5B") {
-      return std::make_unique<AsyncCacheStressor<Lru5B2QAllocator>>(
+    } else if (cacheConfig.allocator == "LRU5B2Q") {
+      return std::make_unique<CacheStressor<Lru5B2QAllocator>>(
           cacheConfig, stressorConfig, std::move(generator));
     }
   }

cachelib/cachebench/test_configs/large_cache_test/config.json

@@ -0,0 +1,40 @@
+{
+  "cache_config": {
+    "cacheSizeMB": 220616,
+    "allocSizes": [262144, 524288, 1048576, 4194304],
+    "allocator": "LRU5B2Q"
+  },
+  "test_config":
+    {
+      "name": "stressor",
+      "enableLookaside": true,
+      "getRatio": 0.7684563460126871,
+      "keySizeRange": [
+        1,
+        8,
+        64
+      ],
+      "keySizeRangeProbability": [
+        0.3,
+        0.7
+      ],
+      "loneGetRatio": 0.2315436539873129,
+      "numKeys": 125000,
+      "numOps": 600000,
+      "numThreads": 16,
+      "valSizeRange": [
+        260000,
+        524000,
+        1040000,
+        4190000,
+        4194000
+      ],
+      "valSizeRangeProbability": [
+        0.25,
+        0.25,
+        0.25,
+        0.25
+      ]
+    }
+
+}