add redis-benchmark results

README.md

@@ -44,11 +44,16 @@ In this repository there are two python files that exemplify the usage of the mo
 
 [pubsub.py](src/pubsub.py) - A workaround for the lack of redis background tasks for providing PUB/SUB functionality
 
-### 4. klib [khash](src/khash.h)
+
+### 4. Redis [Benchmark](src/redis-benchmark.c)
+
+The modified redis-benchmark code used to measure some of the module's performance.
+
+### 5. klib [khash](src/khash.h)
 
 A set of macros to create the hash maps used to implement the dehydrator type.
 
-### 5. LibRMUtil
+### 6. LibRMUtil
 
 From [Redis Modules SDK](https://github.com/RedisLabs/RedisModulesSDK) README:
 

docs/Commands.md

@@ -17,6 +17,7 @@
 | **PULL**      | 19,500 |  31,000 |  31,500 |
 | **POLL**      |  1,700 | 265,000 | 305,000 |
 
+for requests/second `redis-benchmark` results can be found [here](redis-benchmark_results.md)
 
 ## PUSH ##
 

docs/redis-benchmark_results.md

@@ -0,0 +1 @@
+# Redis-Benchmark Resultsthe code used to generate these results is available in [`src/redis-benchmark.c`](src/redis-benchmark.c)```$ ./redis-benchmark -t rede -n 1000000====== REDE.PUSH ======  1000000 requests completed in 5.88 seconds  50 parallel clients  3 bytes payload  keep alive: 199.94% <= 1 milliseconds99.97% <= 2 milliseconds99.98% <= 3 milliseconds99.98% <= 4 milliseconds99.98% <= 5 milliseconds99.99% <= 6 milliseconds99.99% <= 7 milliseconds100.00% <= 8 milliseconds100.00% <= 8 milliseconds170183.80 requests per second====== REDE.PUSH ======  1000000 requests completed in 5.97 seconds  50 parallel clients  3 bytes payload  keep alive: 199.91% <= 1 milliseconds99.97% <= 2 milliseconds99.97% <= 3 milliseconds99.99% <= 4 milliseconds99.99% <= 5 milliseconds100.00% <= 6 milliseconds100.00% <= 7 milliseconds100.00% <= 8 milliseconds100.00% <= 8 milliseconds167532.25 requests per second====== REDE.PUSH - 10000 second elements (needed for POLL) ======  1000000 requests completed in 6.70 seconds  50 parallel clients  3 bytes payload  keep alive: 199.85% <= 1 milliseconds99.96% <= 2 milliseconds99.98% <= 3 milliseconds99.99% <= 4 milliseconds99.99% <= 5 milliseconds99.99% <= 6 milliseconds100.00% <= 7 milliseconds100.00% <= 8 milliseconds100.00% <= 8 milliseconds149342.89 requests per second====== REDE.PUSH - 15 second elements (needed for POLL) ======  1000000 requests completed in 6.59 seconds  50 parallel clients  3 bytes payload  keep alive: 199.65% <= 1 milliseconds99.93% <= 2 milliseconds99.94% <= 3 milliseconds99.96% <= 4 milliseconds99.98% <= 5 milliseconds99.99% <= 6 milliseconds99.99% <= 7 milliseconds100.00% <= 8 milliseconds100.00% <= 9 milliseconds100.00% <= 10 milliseconds100.00% <= 10 milliseconds151653.02 requests per second====== REDE.PUSH - 10 second elements (needed for POLL) ======  1000000 requests completed in 7.09 seconds  50 parallel clients  3 bytes payload  keep alive: 199.90% <= 1 milliseconds99.95% <= 2 milliseconds99.96% <= 3 milliseconds99.97% <= 4 milliseconds99.99% <= 5 milliseconds99.99% <= 6 milliseconds99.99% <= 7 milliseconds99.99% <= 8 milliseconds100.00% <= 9 milliseconds100.00% <= 10 milliseconds100.00% <= 10 milliseconds141063.61 requests per second====== REDE.PUSH - 5 second elements (needed for POLL) ======  1000000 requests completed in 7.33 seconds  50 parallel clients  3 bytes payload  keep alive: 199.74% <= 1 milliseconds99.96% <= 2 milliseconds99.98% <= 3 milliseconds99.98% <= 4 milliseconds99.99% <= 5 milliseconds99.99% <= 6 milliseconds99.99% <= 8 milliseconds100.00% <= 9 milliseconds100.00% <= 9 milliseconds136425.66 requests per second====== REDE.POLL ======  1000000 requests completed in 6.38 seconds  50 parallel clients  3 bytes payload  keep alive: 199.94% <= 1 milliseconds99.97% <= 2 milliseconds99.98% <= 3 milliseconds99.98% <= 5 milliseconds99.98% <= 6 milliseconds99.99% <= 7 milliseconds99.99% <= 8 milliseconds100.00% <= 8 milliseconds156666.14 requests per second```