benchmark update

Benchmark/put_throughput/macos_put_throughput.csv

@@ -1,37 +1,25 @@
 MemtableSizeMB,DataSizeMB,Throughput(MB/s)
-25,1,inf
-25,2,inf
-25,4,inf
-25,8,8000
+5,16,4000
+5,32,4571.43
+5,64,4571.43
+5,128,4129.03
+5,256,3710.14
+5,512,3324.68
+5,1024,239.141
+5,2048,162.604
 25,16,5333.33
-25,32,4571.43
-25,64,4571.43
-25,128,4000
-25,256,3710.14
-25,512,3531.03
+25,32,5333.33
+25,64,4266.67
+25,128,3878.79
+25,256,3657.14
+25,512,3436.24
 25,1024,3250.79
-25,2048,3065.87
-50,1,inf
-50,2,inf
-50,4,inf
-50,8,8000
-50,16,5333.33
-50,32,4571.43
-50,64,4266.67
-50,128,4000
-50,256,3657.14
-50,512,3436.24
-50,1024,3240.51
-50,2048,3047.62
-100,1,inf
-100,2,inf
-100,4,inf
-100,8,8000
-100,16,5333.33
-100,32,4571.43
-100,64,4000
-100,128,3878.79
-100,256,3555.56
-100,512,3324.68
-100,1024,3170.28
-100,2048,3056.72
+25,2048,3056.72
+125,16,5333.33
+125,32,4571.43
+125,64,4000
+125,128,3878.79
+125,256,3657.14
+125,512,3436.24
+125,1024,3240.51
+125,2048,3061.29

Benchmark/put_throughput/plot_benchmark.py

@@ -38,7 +38,7 @@
 plt.ylabel('Throughput (MB/s)')
 
 # Set custom x-axis values and labels
-x_ticks = [2 ** i for i in range(1, 10)]  # Use 2, 4, 8, 16, 32, ..., 512
+x_ticks = [2 ** i for i in range(3, 13)]  # Use 2, 4, 8, 16, 32, ..., 512
 ax = plt.gca()  # Get current axis
 ax.set_xscale('log', base=2)  # Set log scale for x-axis to maintain equal spacing
 

Benchmark/put_throughput_benchmark.cpp

@@ -12,7 +12,7 @@ using namespace std::chrono;
 
 // Constants for benchmark
 constexpr size_t MB = 1024 * 1024 / 128; // 1MB in bytes
-constexpr size_t START_DATA_SIZE_MB = 1;  // Start with 1 MB
+constexpr size_t START_DATA_SIZE_MB = 16;  // Start with 1 MB
 constexpr size_t END_DATA_SIZE_MB = 2048;  // End with 512 MB (adjust as needed)
 const std::string DB_NAME = "benchmark_db";
 
@@ -92,7 +92,7 @@ int main() {
     csvFile << "MemtableSizeMB,DataSizeMB,Throughput(MB/s)\n";
 
     // Benchmark configurations
-    std::vector<size_t> memtableSizes = {25 * MB, 50 * MB, 100 * MB}; // Memtable sizes: 25MB, 50MB, 100MB
+    std::vector<size_t> memtableSizes = {5 * MB, 25 * MB, 125 * MB}; // Memtable sizes: 25MB, 50MB, 100MB
 
     // Run benchmarks for each Memtable size and data size
     for (auto memtableSize : memtableSizes) {