Monday, March 30, 2020

Upgrade Timezone version (DSTv14) in 11gR2 database after upgrading the database from 11.2.0.3


Upgrade Timezone version (DSTv14) in 11gR2 database after upgrading the database from 11.2.0.3


SQL>  select * from v$timezone_file;

FILENAME                VERSION
-------------------- ----------
timezlrg_3.dat                3

SQL>


SQL> sELECT PROPERTY_NAME, SUBSTR(property_value, 1, 30) value
  FROM DATABASE_PROPERTIES
  WHERE PROPERTY_NAME LIKE 'DST_%'
  ORDER BY PROPERTY_NAME  2    3    4
  5
SQL> /

PROPERTY_NAME                  VALUE
------------------------------ ------------------------------
DST_PRIMARY_TT_VERSION         3
DST_SECONDARY_TT_VERSION       0
DST_UPGRADE_STATE              NONE

SQL>


execute script in below order to update timezone DSTv14


Conn / as sysdba
spool countstatsTSTZ.log
@countstatsTSTZ.sql
spool off


Conn / as sysdba
spool upg_tzv_check.log
@upg_tzv_check.sql
spool off



Conn / as sysdba
spool upg_tzv_apply.log
@upg_tzv_apply.sql
spool off

Conn / as sysdba
spool upg_tzv_check.log
upg_tzv_check.sql
spool off


SQL> select * from v$timezone_file;

FILENAME                VERSION
-------------------- ----------
timezlrg_14.dat              14

SQL> sELECT PROPERTY_NAME, SUBSTR(property_value, 1, 30) value
  FROM DATABASE_PROPERTIES
  WHERE PROPERTY_NAME LIKE 'DST_%'
  ORDER BY PROPERTY_NAME  2    3    4
  5  /

PROPERTY_NAME                  VALUE
------------------------------ ------------------------------
DST_PRIMARY_TT_VERSION         14
DST_SECONDARY_TT_VERSION       0
DST_UPGRADE_STATE              NONE

SQL>

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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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