Use only one Redis key for the queue to make chunk size more precise for thread allocation

db.py

@@ -40,7 +40,7 @@ MAIN_SRC_MAP = {
 
 TYPES_META = ["who"]
 TYPES_INT = ["conn", "highlight", "znc", "query", "self"]
-KEYPREFIX = "queue."
+KEYNAME = "queue"
 
 
 async def store_kafka_batch(data):
@@ -113,12 +113,12 @@ async def queue_message(msg):
     """
     Queue a message on the Redis buffer.
     """
-    src = msg["src"]
+    # src = msg["src"]
     message = orjson.dumps(msg)
 
-    key = f"{KEYPREFIX}{src}"
+    # key = f"{KEYPREFIX}{src}"
     # log.debug(f"Queueing single message of string length {len(message)}")
-    await ar.sadd(key, message)
+    await ar.sadd(KEYNAME, message)
 
 
 async def queue_message_bulk(data):
@@ -127,8 +127,8 @@ async def queue_message_bulk(data):
     """
     # log.debug(f"Queueing message batch of length {len(data)}")
     for msg in data:
-        src = msg["src"]
+        # src = msg["src"]
         message = orjson.dumps(msg)
 
-        key = f"{KEYPREFIX}{src}"
-        await ar.sadd(key, message)
+        # key = f"{KEYPREFIX}{src}"
+        await ar.sadd(KEYNAME, message)

docker-compose.yml

@@ -127,11 +127,11 @@ services:
       KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
       KAFKA_AUTO_CREATE_TOPICS_ENABLE: 'true'
       KAFKA_MESSAGE_MAX_BYTES: 2000000
-      KAFKA_HEAP_OPTS: -Xmx2g
+      #KAFKA_HEAP_OPTS: -Xmx2g
     healthcheck:
       test: ["CMD", "kafka-topics.sh", "--list", "--bootstrap-server", "kafka:9092"]
       start_period: 15s
-      interval: 2s
+      interval: 30s
       timeout: 30s
       retries: 45
 

docker/docker-compose.prod.yml

@@ -121,11 +121,11 @@ services:
       KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
       KAFKA_AUTO_CREATE_TOPICS_ENABLE: 'true'
       KAFKA_MESSAGE_MAX_BYTES: 2000000
-      KAFKA_HEAP_OPTS: -Xmx2g
+      #KAFKA_HEAP_OPTS: -Xmx2g
     healthcheck:
       test: ["CMD", "kafka-topics.sh", "--list", "--bootstrap-server", "kafka:9092"]
       start_period: 15s
-      interval: 2s
+      interval: 30s
       timeout: 30s
       retries: 45
 

legacy/modules/monitor.py

@@ -67,7 +67,7 @@ def parsemeta(numName, c):
 
 def queue_message(c):
     message = json.dumps(c)
-    main.g.sadd(main.config["Ingest"]["Key"], message)
+    main.g.sadd("queue", message)
 
 
 def event(

monolith.py

@@ -1,5 +1,4 @@
 import asyncio
-import sys
 from os import getenv
 
 import uvloop

processing/process.py

@@ -101,18 +101,17 @@ hash_key = get_hash_key()
 @asyncio.coroutine
 async def spawn_processing_threads(data):
     len_data = len(data)
-    # log.debug(f"Spawning processing threads for batch of {len_data} messages")
 
     loop = asyncio.get_event_loop()
     tasks = []
 
-    if len(data) < CPU_THREADS:
+    if len(data) < CPU_THREADS * 100:
         split_data = [data]
     else:
         msg_per_core = int(len(data) / CPU_THREADS)
         split_data = array_split(data, ceil(len(data) / msg_per_core))
     for index, split in enumerate(split_data):
-        # log.debug(f"Delegating processing of {len(split)} messages to thread {index}")
+        log.debug(f"Delegating processing of {len(split)} messages to thread {index}")
         task = loop.run_in_executor(p, process_data, split)
         tasks.append(task)
 

sources/ingest.py

@@ -7,12 +7,13 @@ import db
 import util
 from processing import process
 
-SOURCES = ["4ch", "irc", "dis"]
+# SOURCES = ["4ch", "irc", "dis"]
 # DEBUG CODE REMOVE ME
 # SOURCES.remove("4ch")
 # SOURCES.remove("dis")
 # DEBUG CODE REMOVE ME
-KEYPREFIX = "queue."
+# KEYPREFIX = "queue."
+KEYNAME = "queue"
 
 # Chunk size per source (divide by len(SOURCES) for total)
 CHUNK_SIZE = int(getenv("MONOLITH_INGEST_CHUNK_SIZE", "900"))
@@ -39,11 +40,11 @@ class Ingest(object):
 
     async def get_chunk(self):
         items = []
-        for source in SOURCES:
-            key = f"{KEYPREFIX}{source}"
-            chunk = await db.ar.spop(key, CHUNK_SIZE)
+        # for source in SOURCES:
+        # key = f"{KEYPREFIX}{source}"
+        chunk = await db.ar.spop(KEYNAME, CHUNK_SIZE)
         if not chunk:
-                continue
+            return
         for item in chunk:
             item = orjson.loads(item)
             items.append(item)