[k8s] Trying the 32bit redis to decrease memory requirements

dmwm · Jun 3, 2020 · 1c6de28 · 1c6de28
1 parent aa5d280
commit 1c6de28
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Showing 3 changed files with 4 additions and 5 deletions.
diff --git a/k8s/deployments/spider-redis.yaml b/k8s/deployments/spider-redis.yaml
@@ -20,7 +20,7 @@ spec:
         app: redis
     spec:
       containers:
-      - image: redis:alpine
+      - image: redis:5.0.9-32bit
         name: redis
         ports:
         - containerPort: 6379

diff --git a/k8s/deployments/spider-worker.yaml b/k8s/deployments/spider-worker.yaml
@@ -28,10 +28,10 @@ spec:
         - worker
         resources:
           requests:
-             cpu: 100m
+             cpu: 300m
              memory: 500Mi
           limits:
-            cpu: 2000m
+            cpu: 1000m
             memory: 2Gi
         env: &spider_env
         - name: AFFILIATION_DIR_LOCATION

diff --git a/src/htcondor_es/celery/tasks.py b/src/htcondor_es/celery/tasks.py
@@ -10,7 +10,6 @@
 import htcondor
 import classad
 from celery import group
-from celery.signals import celeryd_init
 from itertools import zip_longest, islice
 import collections
 from htcondor_es.convert_to_json import (
@@ -191,7 +190,7 @@ def post_ads_es(es_docs, es_index, metadata=None):
         traceback.print_exc()
 
 
-@app.task()
+@app.task(ignore_result=True)
 def create_affiliation_dir(days=1):
     try:
         output_file = os.getenv(