Tuesday, September 20, 2016

PRIF-29: Warning: wildcard in network parameters can cause mismatch among GPnP profile, OCR, and system





[root@rac1 bin]# ./oifcfg getif
*  192.168.1.0  global  public
*  192.168.0.0  global  cluster_interconnect
eth0  192.168.1.0  global  public
eth1  192.168.0.0  global  cluster_interconnect
Only in OCR: eth0  192.168.1.0  global  cluster_interconnect,public
PRIF-51: interface [eth0] is set to both public and cluster_interconnect
PRIF-29: Warning: wildcard in network parameters can cause mismatch among GPnP profile, OCR, and system
[root@rac1 bin]#
[root@rac1 bin]#
[root@rac1 bin]#
[root@rac1 bin]# ./oifcfg setif -global eth0/192.168.1.0:public
[root@rac1 bin]#
[root@rac1 bin]#
[root@rac1 bin]# ./oifcfg setif -global eth1/192.168.0.0:cluster_interconnect
[root@rac1 bin]#
[root@rac1 bin]#
[root@rac1 bin]#
[root@rac1 bin]# ./oifcfg getif
*  192.168.1.0  global  public
*  192.168.0.0  global  cluster_interconnect
eth0  192.168.1.0  global  public
eth1  192.168.0.0  global  cluster_interconnect
PRIF-29: Warning: wildcard in network parameters can cause mismatch among GPnP profile, OCR, and system
[root@rac1 bin]#
[root@rac1 bin]#
[root@rac1 bin]# ./oifcfg delif -global */192.168.1.0
[root@rac1 bin]#
[root@rac1 bin]#
[root@rac1 bin]# ./oifcfg delif -global */192.168.0.0
[root@rac1 bin]#
[root@rac1 bin]#
[root@rac1 bin]# ./oifcfg getif
eth0  192.168.1.0  global  public
eth1  192.168.0.0  global  cluster_interconnect
[root@rac1 bin]#
[root@rac1 bin]#


after restart cluster

1 comment:

  1. Very useful , compare then oracle support this is best solution.

    ReplyDelete

About the Author : Anurag Pandey | Database cloud Architect | Oracle | SQL Server | PostgreSQL | AI and Data Platform Enthusiast

Anurag Pandey is a Database Architect with expertise in Oracle, PostgreSQL, SQL Server, Linux, and enterprise database platforms and specializes in database architecture, performance tuning, high availability, disaster recovery, cloud modernization, and operational excellence. With extensive experience in enterprise-scale environments, Anurag is passionate about leveraging AI, automation, and modern data platforms to improve reliability, scalability, and business outcomes. He actively contributes to technical communities through knowledge sharing, architecture guidance, and thought leadership in database and data engineering domains.

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