feat(tools):cache log player batching all the way optimisation (#617)

feat(tools):cache log player batching all the way optimization

Signed-off-by: ashotland <ashotland@gmail.com>

Signed-off-by: ashotland <ashotland@gmail.com>

tools/cache_logs_player.py

@@ -13,7 +13,7 @@ To install: pip install -r requirements.txt
 
 class Command:
     args = None
-    client_id = 0
+    sync_id = 0 # Commands with the same sync_id will be executed synchrnously
 
 class TwitterCacheTraceParser:
     """
@@ -29,7 +29,7 @@ class TwitterCacheTraceParser:
         ttl = csv[6]
 
         cmd = Command()
-        cmd.client_id = client_id
+        cmd.sync_id = client_id
 
         if operation == "get":
             cmd.args = ["GET", key]
@@ -58,29 +58,20 @@ class TwitterCacheTraceParser:
 
 class AsyncWorker:
     QUEUE_SIZE = 100000
-    BATCH_SIZE = 20
 
     def __init__(self, redis_client) -> None:
         self.queue = asyncio.Queue(self.QUEUE_SIZE)
         self.redis_client = redis_client
         self.working = False
 
-    async def put(self, cmd: Command) -> None:
-        await self.queue.put(cmd)
+    async def put(self, batch: list) -> None:
+        await self.queue.put(batch)
 
     async def work(self) -> None:
         self.working = True
-        batch = []
-        while self.working or len(batch) > 0 or not self.queue.empty() :
-            try:
-                cmd = await asyncio.wait_for(self.queue.get(), timeout=1.0)
-                batch.append(cmd)
-                if len(batch) >= self.BATCH_SIZE:
-                    await self.execute(batch)
-                    batch.clear()
-            except asyncio.exceptions.TimeoutError:
-                await self.execute(batch)
-                batch.clear()
+        while self.working or not self.queue.empty() :
+            batch = await self.queue.get()
+            await self.execute(batch)
 
     async def execute(self, batch) -> None:
         async with self.redis_client.pipeline(transaction=False) as pipe:
@@ -97,18 +88,18 @@ class AsyncWorker:
 class AsyncWorkerPool:
     """
     Mangaes worker pool to send commands in parallel
-    Maintains synchronous order for commands with the same client id
+    Maintains synchronous order for commands with the same sync_id
     """
     def __init__(self, redis_client, num_workers) -> None:
         self.redis_client = redis_client
         self.num_workers = num_workers
         self.workers = []
         self.tasks = []
-        self.client_id_to_worker = {}
+        self.sync_id_to_worker = {}
         self.next_worker_index = -1
 
-    def allocate(self, client_id) -> AsyncWorker:
-        if not client_id in self.client_id_to_worker:
+    def allocate(self, sync_id) -> AsyncWorker:
+        if not sync_id in self.sync_id_to_worker:
             self.next_worker_index = (self.next_worker_index + 1) % self.num_workers
 
             if len(self.workers) <= self.next_worker_index:
@@ -116,13 +107,13 @@ class AsyncWorkerPool:
                 self.workers.append(AsyncWorker(self.redis_client))
                 self.tasks.append(self.workers[self.next_worker_index].start())
 
-            self.client_id_to_worker[client_id] = self.workers[self.next_worker_index]
+            self.sync_id_to_worker[sync_id] = self.workers[self.next_worker_index]
 
-        return self.client_id_to_worker[client_id]
+        return self.sync_id_to_worker[sync_id]
 
-    async def put(self, cmd: Command) -> None:
-        worker = self.allocate(cmd.client_id)
-        await worker.put(cmd)
+    async def put(self, batch: list, sync_id: int) -> None:
+        worker = self.allocate(sync_id)
+        await worker.put(batch)
 
     async def stop(self):
         for worker in self.workers:
@@ -131,18 +122,40 @@ class AsyncWorkerPool:
 
 
 class AsyncPlayer:
+    READ_BATCH_SIZE = 10 * 1000 * 1000
+
     def __init__(self, redis_uri, num_workers) -> None:
         self.redis_uri = redis_uri
         self.redis_client = aioredis.from_url(f"redis://{self.redis_uri}", encoding="utf-8", decode_responses=True)
         self.worker_pool = AsyncWorkerPool(self.redis_client, 100)
 
+        self.batch_by_sync_id = {}
+
+    async def dispatch_batches(self):
+        for sync_id in self.batch_by_sync_id:
+            await self.worker_pool.put(self.batch_by_sync_id[sync_id], sync_id)
+        self.batch_by_sync_id.clear()
+
     async def read_and_dispatch(self, csv_file, parser):
         print(f"dispatching from {csv_file}")
+
+        line_count = 0
+
         async with aiofiles.open(csv_file, mode="r", encoding="utf-8", newline="") as afp:
             async for row in AsyncReader(afp):
-                await self.worker_pool.put(parser.parse(row))
+                cmd = parser.parse(row)
+                if not self.batch_by_sync_id.get(cmd.sync_id):
+                    self.batch_by_sync_id[cmd.sync_id] = []
+                batch = self.batch_by_sync_id[cmd.sync_id]
+                batch.append(cmd)
+                line_count = line_count + 1
+                if (line_count >= self.READ_BATCH_SIZE):
+                    await self.dispatch_batches()
+                    line_count = 0
+            # handle the remaining lines
+            await self.dispatch_batches()
 
-    async def reportStats(self):
+    async def report_stats(self):
         while True:
             info = await self.redis_client.execute_command("info", "stats")
             print(f"{datetime.now()}: {info}")
@@ -154,13 +167,12 @@ class AsyncPlayer:
         print(await self.redis_client.ping())
 
         read_dispatch_task = asyncio.create_task(self.read_and_dispatch(csv_file, parser))
-        stats_task = asyncio.create_task(self.reportStats())
+        stats_task = asyncio.create_task(self.report_stats())
 
         await read_dispatch_task
         print(f"finished reading {csv_file}")
 
         await self.worker_pool.stop()
-
         stats_task.cancel()
         print("all done")