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Processing this PDF requires more resources than are currently allocated



When try to extract business term from PDF document causing the error "Processing this PDF requires more resources than are currently allocated. To increase the resources for this feature, please contact your system administrator".
image 4992


When extracting business term from large pdf file returns the following error
image 4986
or the error "Processing this PDF requires more resources than are currently allocated"


Default settings for knol deployment.
        containers:        - env:          - name: MEMORY_LIMIT            value: 1500Mi          - name: CPU_LIMIT            value: 1000m          - name: MEMORY_REQUEST            value: 1500Mi          - name: CPU_REQUEST            value: 500m
To process PDF, script in the knol pod, it is checking to ensure the minimum requested memory is 8G
After the fix, it should have the values similar to below
  oc edit deployment knol-knol -o yaml
image 5004


  • Cloud Pak for Data 2.5, 3.0
  • Watson Knowledge Studio
  • OpenShift 3.11, 4.3

Diagnosing The Problem

1. Check the  knol pod status
oc get pods -o wide  | grep knol
2. Check the node resource utilization for knol pod.
oc describe node $(oc get pods -o wide  | grep knol| awk '{ print $7 }'

Resolving The Problem

1. Increase cpu/memory limit for the knol
  oc set env deployment/knol-knol MEMORY_LIMIT=16Gi CPU_LIMIT=8 MEMORY_REQUEST=16Gi CPU_REQUEST=8    oc set resources deployment knol-knol --requests=cpu=8,memory=16Gi --limits=cpu=8,memory=16Gi  
2. Check the Resource limit
This should return "system_has_enough_resources:true"
image 4997

Document Location


[{"Business Unit":{"code":"BU053","label":"Cloud & Data Platform"},"Product":{"code":"SSHGYS","label":"IBM Cloud Pak for Data"},"ARM Category":[{"code":"a8m0z000000GpDtAAK","label":"Cataloging and governing data"}],"ARM Case Number":"","Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"All Version(s)","Line of Business":{"code":"LOB10","label":"Data and AI"}}]

Document Information

Modified date:
09 July 2020