fix(spark): lower memory requests to fix scheduling on resource-constrained nodes

Scheduler uses requests (not limits) for placement. Previous 1Gi requests per pod caused Insufficient memory even with plenty of physical RAM. New requests: master 256Mi, workers 256Mi, history-server 128Mi. Limits unchanged. SPARK_WORKER_MEMORY reduced to 512m to match worker budget. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-16 20:02:02 +02:00
parent 25f230fd18
commit 710e2ec308
3 changed files with 6 additions and 6 deletions
@@ -31,7 +31,7 @@ spec:
          resources:
            requests:
              cpu: 100m
-              memory: 512Mi
+              memory: 128Mi
            limits:
              cpu: 500m
              memory: 1Gi