-- -- Usage: -- @dash_wait_chains -- -- Example: -- @dash_wait_chains username||':'||program2||event2 session_type='FOREGROUND' sysdate-1 sysdate -- -- Other: -- This script uses only the DBA_HIST_ACTIVE_SESS_HISTORY view, use -- @ash_wait_chains.sql for accessiong the GV$ ASH view for realtime info -- -------------------------------------------------------------------------------- COL wait_chain FOR A300 WORD_WRAP COL "%This" FOR A6 PROMPT PROMPT -- Display ASH Wait Chain Signatures script v0.8 by Tanel Poder ( https://tanelpoder.com ) WITH bclass AS (SELECT /*+ INLINE */ class, ROWNUM r from v$waitstat), ash AS (SELECT /*+ INLINE QB_NAME(ash) LEADING(a) USE_HASH(u) SWAP_JOIN_INPUTS(u) */ a.* , o.* , SUBSTR(TO_CHAR(a.sample_time, 'YYYYMMDDHH24MISS'),1,13) sample_time_10s -- ASH dba_hist_ samples stored every 10sec , u.username , CASE WHEN a.session_type = 'BACKGROUND' OR REGEXP_LIKE(a.program, '.*\([PJ]\d+\)') THEN REGEXP_REPLACE(SUBSTR(a.program,INSTR(a.program,'(')), '\d', 'n') ELSE '('||REGEXP_REPLACE(REGEXP_REPLACE(a.program, '(.*)@(.*)(\(.*\))', '\1'), '\d', 'n')||')' END || ' ' program2 , NVL(a.event||CASE WHEN event like 'enq%' AND session_state = 'WAITING' THEN ' [mode='||BITAND(p1, POWER(2,14)-1)||']' WHEN a.event IN (SELECT name FROM v$event_name WHERE parameter3 = 'class#') THEN ' ['||NVL((SELECT class FROM bclass WHERE r = a.p3),'undo @bclass '||a.p3)||']' ELSE null END,'ON CPU') || ' ' event2 , TO_CHAR(CASE WHEN session_state = 'WAITING' THEN p1 ELSE null END, '0XXXXXXXXXXXXXXX') p1hex , TO_CHAR(CASE WHEN session_state = 'WAITING' THEN p2 ELSE null END, '0XXXXXXXXXXXXXXX') p2hex , TO_CHAR(CASE WHEN session_state = 'WAITING' THEN p3 ELSE null END, '0XXXXXXXXXXXXXXX') p3hex , CASE WHEN BITAND(time_model, POWER(2, 01)) = POWER(2, 01) THEN 'DBTIME ' END ||CASE WHEN BITAND(time_model, POWER(2, 02)) = POWER(2, 02) THEN 'BACKGROUND ' END ||CASE WHEN BITAND(time_model, POWER(2, 03)) = POWER(2, 03) THEN 'CONNECTION_MGMT ' END ||CASE WHEN BITAND(time_model, POWER(2, 04)) = POWER(2, 04) THEN 'PARSE ' END ||CASE WHEN BITAND(time_model, POWER(2, 05)) = POWER(2, 05) THEN 'FAILED_PARSE ' END ||CASE WHEN BITAND(time_model, POWER(2, 06)) = POWER(2, 06) THEN 'NOMEM_PARSE ' END ||CASE WHEN BITAND(time_model, POWER(2, 07)) = POWER(2, 07) THEN 'HARD_PARSE ' END ||CASE WHEN BITAND(time_model, POWER(2, 08)) = POWER(2, 08) THEN 'NO_SHARERS_PARSE ' END ||CASE WHEN BITAND(time_model, POWER(2, 09)) = POWER(2, 09) THEN 'BIND_MISMATCH_PARSE ' END ||CASE WHEN BITAND(time_model, POWER(2, 10)) = POWER(2, 10) THEN 'SQL_EXECUTION ' END ||CASE WHEN BITAND(time_model, POWER(2, 11)) = POWER(2, 11) THEN 'PLSQL_EXECUTION ' END ||CASE WHEN BITAND(time_model, POWER(2, 12)) = POWER(2, 12) THEN 'PLSQL_RPC ' END ||CASE WHEN BITAND(time_model, POWER(2, 13)) = POWER(2, 13) THEN 'PLSQL_COMPILATION ' END ||CASE WHEN BITAND(time_model, POWER(2, 14)) = POWER(2, 14) THEN 'JAVA_EXECUTION ' END ||CASE WHEN BITAND(time_model, POWER(2, 15)) = POWER(2, 15) THEN 'BIND ' END ||CASE WHEN BITAND(time_model, POWER(2, 16)) = POWER(2, 16) THEN 'CURSOR_CLOSE ' END ||CASE WHEN BITAND(time_model, POWER(2, 17)) = POWER(2, 17) THEN 'SEQUENCE_LOAD ' END ||CASE WHEN BITAND(time_model, POWER(2, 18)) = POWER(2, 18) THEN 'INMEMORY_QUERY ' END ||CASE WHEN BITAND(time_model, POWER(2, 19)) = POWER(2, 19) THEN 'INMEMORY_POPULATE ' END ||CASE WHEN BITAND(time_model, POWER(2, 20)) = POWER(2, 20) THEN 'INMEMORY_PREPOPULATE ' END ||CASE WHEN BITAND(time_model, POWER(2, 21)) = POWER(2, 21) THEN 'INMEMORY_REPOPULATE ' END ||CASE WHEN BITAND(time_model, POWER(2, 22)) = POWER(2, 22) THEN 'INMEMORY_TREPOPULATE ' END ||CASE WHEN BITAND(time_model, POWER(2, 23)) = POWER(2, 23) THEN 'TABLESPACE_ENCRYPTION ' END time_model_name FROM dba_hist_active_sess_history a , dba_users u , (SELECT object_id,data_object_id,owner,object_name,subobject_name,object_type , owner||'.'||object_name obj , owner||'.'||object_name||' ['||object_type||']' objt FROM dba_objects) o WHERE a.user_id = u.user_id (+) AND a.current_obj# = o.object_id(+) AND sample_time BETWEEN &3 AND &4 ), ash_samples AS (SELECT /*+ INLINE */ DISTINCT sample_time_10s FROM ash), ash_data AS (SELECT /*+ INLINE */ * FROM ash), chains AS ( SELECT /*+ INLINE */ d.sample_time_10s ts , level lvl , session_id sid , REPLACE(SYS_CONNECT_BY_PATH(&1, '->'), '->', ' -> ')||CASE WHEN CONNECT_BY_ISLEAF = 1 AND d.blocking_session IS NOT NULL THEN ' -> [idle blocker '||d.blocking_inst_id||','||d.blocking_session||','||d.blocking_session_serial#||(SELECT ' ('||s.program||')' FROM gv$session s WHERE (s.inst_id, s.sid , s.serial#) = ((d.blocking_inst_id,d.blocking_session,d.blocking_session_serial#)))||']' ELSE NULL END path -- there's a reason why I'm doing this --, REPLACE(SYS_CONNECT_BY_PATH(&1, '->'), '->', ' -> ') path -- there's a reason why I'm doing this (ORA-30004 :) --, SYS_CONNECT_BY_PATH(&1, ' -> ')||CASE WHEN CONNECT_BY_ISLEAF = 1 THEN '('||d.session_id||')' ELSE NULL END path --, REPLACE(SYS_CONNECT_BY_PATH(&1, '->'), '->', ' -> ')||CASE WHEN CONNECT_BY_ISLEAF = 1 THEN ' [sid='||d.session_id||' seq#='||TO_CHAR(seq#)||']' ELSE NULL END path -- there's a reason why I'm doing this (ORA-30004 :) , CASE WHEN CONNECT_BY_ISLEAF = 1 THEN d.session_id ELSE NULL END sids , CONNECT_BY_ISLEAF isleaf , CONNECT_BY_ISCYCLE iscycle , d.* FROM ash_samples s , ash_data d WHERE s.sample_time_10s = d.sample_time_10s AND d.sample_time BETWEEN &3 AND &4 CONNECT BY NOCYCLE ( PRIOR d.blocking_session = d.session_id AND PRIOR s.sample_time_10s = d.sample_time_10s AND PRIOR d.blocking_inst_id = d.instance_number) START WITH &2 ) SELECT * FROM ( SELECT LPAD(ROUND(RATIO_TO_REPORT(COUNT(*)) OVER () * 100)||'%',5,' ') "%This" , COUNT(*) * 10 seconds , ROUND(COUNT(*) * 10 / ((CAST(&4 AS DATE) - CAST(&3 AS DATE)) * 86400), 1) AAS , path wait_chain , TO_CHAR(MIN(sample_time), 'YYYY-MM-DD HH24:MI:SS') first_seen , TO_CHAR(MAX(sample_time), 'YYYY-MM-DD HH24:MI:SS') last_seen , COUNT(DISTINCT sids) num_sids , MIN(sids) , MAX(sids) FROM chains WHERE isleaf = 1 GROUP BY &1 , path ORDER BY COUNT(*) DESC ) WHERE rownum <= 30 /

比如表T生成了两个dump文件（t_1.dmp,t_2.dmp)，就可以考虑如下的方式来加载，黄色部分是对应的dump文件。 CREATE TABLE T_EXT_1 ( id number,object_id number,object_name varchar2(30),object_type varchar2(30),clob_test clob ) ORGANIZATION EXTERNAL ( TYPE ORACLE_DATAPUMP DEFAULT DIRECTORY "EXPDP_LOCATION" LOCATION ( 't_1.dmp' ) ) ; CREATE TABLE T_EXT_2 ( id number,object_id number,object_name varchar2(30),object_type varchar2(30),clob_test clob ) ORGANIZATION EXTERNAL ( TYPE ORACLE_DATAPUMP DEFAULT DIRECTORY "EXPDP_LOCATION" LOCATION ( 't_2.dmp' ) ) ; 对应的脚本如下： 其中在DUMP目录下存放着生成的dump文件，根据动态匹配得到最终生成了几个dump文件，来决定创建几个对应的外部表。 target_owner=`echo "2"|awk−F@′print$1′|awk−F/′print$1′|tr′[a−z]″[A−Z]′‘sourceowner=‘echo"1" |awk -F@ '{print 1}'|awk -F/ '{print $1}'|tr '[a-z]' '[A-Z]'` tab_name=`echo "3"|tr '[a-z]' '[A-Z]'` owner_account=5tmpparallel=‘ls−l../DUMP/{tab_name}_[0-9]*.dmp|wc -l` echo parallel :tmpparallelforiin1..$tmpparallel;doecho\'{tab_name}_i.dmp\' >> tmp_{tab_name}_par_dmp.lst done sed -e '/^/d' tmp_{tab_name}_par_dmp.lst > ../DUMP_LIST/{tab_name}_par_dmp.lst rm tmp_{tab_name}_par_dmp.lst dump_list=`cat ../DUMP_LIST/tabnamepardmp.lst‘print"conn1 set feedback off set linesize 100 col data_type format a30 set pages 0 set termout off SELECT t1.COLUMN_NAME, t1.DATA_TYPE || DECODE ( t1.DATA_TYPE, 'NUMBER', DECODE ( '(' || NVL (TO_CHAR (t1.DATA_PRECISION), '*') || ',' || NVL (TO_CHAR (t1.DATA_SCALE), '*') || ')', '(*,*)', NULL, '(*,0)', '(38)', '(' || NVL (TO_CHAR (t1.DATA_PRECISION), '*') || ',' || NVL (TO_CHAR (t1.DATA_SCALE), '*') || ')'), 'FLOAT', '(' || t1.DATA_PRECISION || ')', 'DATE', NULL, 'TIMESTAMP(6)', NULL, '(' || t1.DATA_LENGTH || ')') ||',' AS DATA_TYPE from all_tab_columns t1 where owner=upper('owneraccount′)ANDtablename=upper(′3' ) order by t1.column_id; "|sqlplus -s /nolog > {tab_name}.temp sed -e '/^/d' -e 's/.//' -e 's/CLOB(4000)/CLOB/g' -e 's/BLOB(4000)/BLOB/g' tabname.temp>../DESCLIST/{tab_name}.desc rm tabname.tempforiin1..$tmpparalleldoecholoadingtable{tab_name} as {tab_name}_EXT_i sqlplus -s 2settimingonsetechoonCREATETABLE{tab_name}_EXT_i(‘cat../DESCLIST/{tab_name}.desc ` ) ORGANIZATION EXTERNAL ( TYPE ORACLE_DATAPUMP DEFAULT DIRECTORY 4LOCATION(‘sed−n"{i}p" ../DUMP_LIST/${tab_name}_par_dmp.lst` )); EOF done exit 生成的日志类似下面的格式： loading table T as T_EXT_1 Elapsed: 00:00:01.33 loading table T as T_EXT_2 Elapsed: 00:00:01.30

SET SERVEROUTPUT ON DECLARE v_owner VARCHAR2(30) := 'YOUR_SCHEMA_NAME'; -- Replace with your schema name v_new_tablespace VARCHAR2(30) := 'NEW_TABLESPACE'; -- Replace with your new tablespace name BEGIN FOR rec IN ( SELECT DISTINCT tablespace_name FROM dba_segments WHERE owner = v_owner AND tablespace_name IS NOT NULL ) LOOP DBMS_OUTPUT.PUT_LINE('REMAP_TABLESPACE=' || rec.tablespace_name || ':' || v_new_tablespace); END LOOP; END; /

Migrating an Oracle database to PostgreSQL involves several steps, from preparing the environment and data to migrating schemas and data, and finally testing the new setup. Here's a general outline of the process: Step 1: Preparation Assess Compatibility: Check for differences in SQL syntax, data types, and functionalities between Oracle and PostgreSQL. Install Necessary Tools: Ensure you have tools like ora2pg, a free tool for migrating Oracle databases to PostgreSQL. Step 2: Set Up PostgreSQL Install PostgreSQL: Install PostgreSQL on your target server. Create Database: Create a new PostgreSQL database to hold the migrated data. Step 3: Export Oracle Schema Use ora2pg: Configure and use ora2pg to export the schema from Oracle. This tool can help translate Oracle schema to PostgreSQL schema. sh Copy code ora2pg --init Edit the ora2pg.conf file to configure the connection to the Oracle database and the target PostgreSQL database. Example configuration: ruby Copy code ORACLE_DSN dbi:Oracle:host=your_oracle_host;sid=your_sid;port=1521 ORACLE_USER your_oracle_user ORACLE_PWD your_oracle_password PG_DSN dbi:Pg:dbname=your_pg_db;host=your_pg_host;port=5432 PG_USER your_pg_user PG_PWD your_pg_password SCHEMA your_schema TYPE TABLE Run ora2pg to export the schema: sh Copy code ora2pg -t schema -o output_schema.sql Step 4: Import Schema into PostgreSQL Run the SQL Script: Execute the exported SQL script in the PostgreSQL database. sh Copy code psql -U your_pg_user -d your_pg_db -f output_schema.sql Step 5: Export and Import Data Export Data from Oracle: Use ora2pg to export the data. sh Copy code ora2pg -t COPY -o data.sql Import Data into PostgreSQL: Load the data into PostgreSQL using psql. sh Copy code psql -U your_pg_user -d your_pg_db -f data.sql Step 6: Post-migration Tasks Validate Data: Ensure that the data has been correctly migrated. Update Application: Modify your application to connect to the new PostgreSQL database. Performance Tuning: Optimize the PostgreSQL database for performance. Example ora2pg.conf File Here's an example configuration file for ora2pg: css Copy code ORACLE_DSN dbi:Oracle:host=oracle_host;sid=oracle_sid;port=1521 ORACLE_USER oracle_user ORACLE_PWD oracle_password PG_DSN dbi:Pg:dbname=postgres_db;host=postgres_host;port=5432 PG_USER postgres_user PG_PWD postgres_password SCHEMA oracle_schema EXPORT_SCHEMA 1 TYPE TABLE OUTPUT /path/to/output Final Tips Testing: Thoroughly test the migrated database to ensure all functionality works as expected. Backup: Always back up your Oracle database before starting the migration process. Documentation: Keep detailed documentation of the migration steps and configurations. This process can be complex, especially for large or highly customized databases, so you may need to adjust steps to fit your specific environment. list q&a questions ChatGPT Here are some Q&A questions to consider when planning and executing a migration from Oracle to PostgreSQL: Pre-Migration Planning Assessment and Preparation What are the key differences between Oracle and PostgreSQL that we need to be aware of? What is the current version of Oracle and PostgreSQL we are using? Are there any specific features in Oracle that are not supported in PostgreSQL? Have we documented all database objects, such as tables, views, indexes, and triggers? What is our rollback plan in case the migration encounters critical issues? Schema and Data Migration Schema Conversion How do we handle different data types between Oracle and PostgreSQL? Are there any automated tools or scripts available for schema conversion? How will we convert Oracle-specific SQL syntax to PostgreSQL-compatible syntax? What is our approach for handling Oracle PL/SQL stored procedures and functions? How do we ensure that constraints and indexes are accurately migrated? Data Transfer What tools are we using to export and import data between Oracle and PostgreSQL? How do we ensure data integrity during the transfer process? What are the performance considerations for bulk data transfer? How do we handle large tables and partitions during migration? Are there any data transformation requirements during the migration? Testing and Validation Testing What is our strategy for validating the data migration? How do we ensure that the application behaves correctly with the new PostgreSQL database? What are the critical use cases and queries that need to be tested? How do we verify that performance is acceptable in the new environment? What tools and methods are we using for testing the migrated database? Post-Migration Post-Migration Steps What are the steps to switch the production environment to use PostgreSQL? How do we handle user and role migration from Oracle to PostgreSQL? What is our plan for monitoring and maintaining the PostgreSQL database post-migration? Are there any application code changes required to work with PostgreSQL? How do we ensure that backups and disaster recovery plans are in place for the new database? General Considerations Project Management What is the timeline for the migration project? Who are the stakeholders involved, and what are their roles? What are the risks associated with the migration, and how do we mitigate them? How do we communicate progress and issues to the stakeholders? What resources and budget are allocated for the migration project? These questions should help guide a comprehensive migration plan and ensure that all critical aspects of the process are considered. with answers ChatGPT Sure, here are the Q&A questions with possible answers for a migration from Oracle to PostgreSQL: Pre-Migration Planning Assessment and Preparation Q: What are the key differences between Oracle and PostgreSQL that we need to be aware of? A: Key differences include data types, SQL syntax, procedural languages (PL/SQL vs. PL/pgSQL), and the way sequences and auto-incrementing fields are handled. Oracle has more built-in functions and advanced features, while PostgreSQL is highly extensible and standards-compliant. Q: What is the current version of Oracle and PostgreSQL we are using? A: We are using Oracle 19c and PostgreSQL 13. It's important to check compatibility and feature differences between these versions. Q: Are there any specific features in Oracle that are not supported in PostgreSQL? A: Features like Oracle's advanced queuing, certain XML capabilities, and specific PL/SQL packages might not have direct counterparts in PostgreSQL. Custom solutions or third-party extensions may be needed. Q: Have we documented all database objects, such as tables, views, indexes, and triggers? A: Yes, we have a comprehensive inventory of all database objects. This includes tables, views, indexes, sequences, triggers, stored procedures, and functions. Q: What is our rollback plan in case the migration encounters critical issues? A: Our rollback plan involves keeping the Oracle database operational and synchronized with critical data changes until the PostgreSQL database is fully validated and stable. We will also take a full backup of the Oracle database before starting the migration. Schema and Data Migration Schema Conversion Q: How do we handle different data types between Oracle and PostgreSQL? A: We will map Oracle data types to PostgreSQL equivalents using tools like ora2pg. For example, Oracle's NUMBER will be mapped to PostgreSQL's numeric or integer types as appropriate. Q: Are there any automated tools or scripts available for schema conversion? A: Yes, ora2pg is a widely-used tool that automates the conversion of Oracle schemas to PostgreSQL schemas. Q: How will we convert Oracle-specific SQL syntax to PostgreSQL-compatible syntax? A: We will use ora2pg and manual review to adjust SQL syntax differences. This includes handling PL/SQL to PL/pgSQL conversions and translating Oracle-specific functions and procedures. Q: What is our approach for handling Oracle PL/SQL stored procedures and functions? A: We will convert PL/SQL stored procedures and functions to PL/pgSQL. This might require rewriting some logic due to syntax and functional differences. Q: How do we ensure that constraints and indexes are accurately migrated? A: We will verify and manually adjust constraints and indexes during the schema conversion process, ensuring they align with PostgreSQL standards and best practices. Data Transfer Q: What tools are we using to export and import data between Oracle and PostgreSQL? A: We will use ora2pg for data export and psql for importing data into PostgreSQL. We may also consider using tools like pgloader for efficient data transfer. Q: How do we ensure data integrity during the transfer process? A: We will perform data validation checks before and after the transfer. This includes checksums, record counts, and sampling data comparisons between Oracle and PostgreSQL. Q: What are the performance considerations for bulk data transfer? A: We will consider factors such as network bandwidth, hardware resources, and parallel processing capabilities. Using tools optimized for bulk transfer, such as pg_bulkload, can help improve performance. Q: How do we handle large tables and partitions during migration? A: Large tables and partitions will be handled by breaking them into manageable chunks and using parallel processing where possible. We will also optimize the PostgreSQL database configuration to handle large data loads. Q: Are there any data transformation requirements during the migration? A: Yes, some data transformations may be required to adapt to PostgreSQL data types, constraints, and formats. This will be handled during the data export phase using transformation scripts. Testing and Validation Testing Q: What is our strategy for validating the data migration? A: Our strategy includes verifying data integrity through checksums, record counts, and comparing key data points between Oracle and PostgreSQL. We will also run application test cases to ensure functionality. Q: How do we ensure that the application behaves correctly with the new PostgreSQL database? A: We will conduct thorough application testing in a staging environment, replicating production workloads and use cases to ensure compatibility and performance. Q: What are the critical use cases and queries that need to be tested? A: Critical use cases include data retrieval, updates, and transaction processing. We will also test complex queries, reports, and any custom PL/SQL code converted to PL/pgSQL. Q: How do we verify that performance is acceptable in the new environment? A: We will perform performance benchmarking and stress testing on the PostgreSQL database, comparing it with Oracle's performance metrics to ensure it meets or exceeds current performance levels. Q: What tools and methods are we using for testing the migrated database? A: We will use testing frameworks like pgTAP for PostgreSQL, application-specific test suites, and performance testing tools like JMeter and pgbench. Post-Migration Post-Migration Steps Q: What are the steps to switch the production environment to use PostgreSQL? A: The steps include final data synchronization, switching application configurations to point to the PostgreSQL database, running final validation tests, and monitoring the production environment closely during the initial period. Q: How do we handle user and role migration from Oracle to PostgreSQL? A: We will recreate users and roles in PostgreSQL, ensuring appropriate permissions and access controls are set. We will also update application configurations to use new credentials. Q: What is our plan for monitoring and maintaining the PostgreSQL database post-migration? A: We will implement monitoring tools like pgAdmin, Nagios, and custom scripts to monitor performance, resource usage, and database health. Regular maintenance tasks such as vacuuming, indexing, and backups will be scheduled. Q: Are there any application code changes required to work with PostgreSQL? A: Yes, minor changes may be required to adapt SQL queries, connection strings, and error handling to work with PostgreSQL. We will review and update the application code accordingly. Q: How do we ensure that backups and disaster recovery plans are in place for the new database? A: We will set up regular automated backups using tools like pg_dump and implement a disaster recovery plan that includes offsite storage, replication, and failover mechanisms. General Considerations Project Management Q: What is the timeline for the migration project? A: The timeline includes initial planning and assessment (2 weeks), schema and data migration (4 weeks), testing and validation (2 weeks), and production cutover (1 week), totaling approximately 9 weeks. Q: Who are the stakeholders involved, and what are their roles? A: Stakeholders include the database administrator (DBA), application developers, IT support, project manager, and business unit representatives. Each has specific roles in planning, execution, testing, and validation. Q: What are the risks associated with the migration, and how do we mitigate them? A: Risks include data loss, downtime, performance issues, and compatibility problems. Mitigation strategies include thorough planning, testing, having a rollback plan, and involving experienced personnel. Q: How do we communicate progress and issues to the stakeholders? A: Regular progress meetings, status reports, and a project management tool will be used to keep stakeholders informed. Critical issues will be communicated immediately through established channels. Q: What resources and budget are allocated for the migration project? A: Resources include dedicated DBA and developer time, hardware for testing, and tools for migration and monitoring. The budget covers personnel costs, software licenses, and contingency funds for unexpected issues. This comprehensive Q&A should help guide the migration process and address key considerations at each stage. what happens if the migration fails in mid-way ChatGPT If a migration fails midway, it's essential to have a clear plan to handle the situation to minimize disruption and ensure data integrity. Here's a step-by-step guide on what to do if the migration fails midway: Immediate Actions Stop the Migration Process: Immediately halt the migration process to prevent further issues or data corruption. Assess the Situation: Determine the exact point of failure and the cause. This might involve checking error logs, system messages, and any migration tool outputs. Rollback Plan Rollback to Oracle: Synchronize Data: If the migration was being done incrementally, ensure any new data changes in Oracle are captured and synchronized to avoid data loss. Switch Back to Oracle: Redirect applications and users back to the Oracle database if they had been switched to PostgreSQL during the migration. Analyze the Failure Identify the Cause: Analyze the logs and error messages to pinpoint the cause of the failure. Common issues could be: Incompatibility in data types or schema structures. Network interruptions. Hardware or software failures. Resource limitations (e.g., memory, disk space). Fix the Issues Resolve the Identified Problems: Address the root cause of the failure. This could involve: Adjusting schema definitions or data types. Ensuring adequate system resources. Correcting any configuration issues in migration tools. Prepare for a Retry Prepare for Retrying the Migration: Backup Data: Take fresh backups of both Oracle and any partially migrated data in PostgreSQL. Test Environment: Set up a test environment to replicate the issue and ensure the fix works before retrying the migration in production. Retry Migration Restart the Migration: Depending on the stage at which the migration failed, you might: Restart the entire migration from scratch. Continue from the point of failure if possible, ensuring data consistency and integrity. Communication and Documentation Communicate with Stakeholders: Keep all stakeholders informed about the failure, the causes, the steps taken to resolve the issues, and the new migration timeline. Document the Failure and Solutions: Document the failure, including the root cause analysis and the steps taken to resolve the issue, for future reference. Post-Migration Validation Thorough Testing: After successfully retrying the migration, perform thorough testing to ensure all data has been correctly migrated, and the new database is fully operational. Monitor the Systems: Closely monitor the PostgreSQL database for any issues that might arise post-migration. Example Plan for a Mid-Migration Failure Scenario: Migration failed during data transfer due to a network interruption. Immediate Actions: Stop the migration tool, assess the logs, and identify the failure point. Rollback: Ensure any new changes in Oracle are synchronized. Redirect applications back to Oracle if necessary. Resolution: Fix network issues, ensure data integrity in Oracle, and prepare for a retry. Retry: Restart the migration, either from scratch or from the failure point, ensuring data integrity. Post-Migration: Perform thorough testing and monitoring. Risk Mitigation Strategies Incremental Migration: Perform the migration in phases to minimize the impact of failures. Redundant Backups: Keep multiple backups at different stages of the migration. Failover Mechanisms: Implement failover mechanisms to quickly switch back to Oracle if needed. Testing: Rigorously test the migration process in a non-production environment before the actual migration. Having a robust rollback and retry plan is crucial to handle any mid-way failures during the migration process. do we need to create database and schema in target postgresql prior to migration ChatGPT Yes, you need to create the database and schema in the target PostgreSQL instance prior to migration. This step ensures that the structure is in place to receive the data from the Oracle database. Here's a detailed breakdown of the process: Creating the Database and Schema in PostgreSQL 1. Create the Database First, you need to create the target database in PostgreSQL. This can be done using the psql command-line tool or a graphical interface like pgAdmin. Using psql: sh Copy code psql -U postgres CREATE DATABASE target_database_name; \q Using pgAdmin: Open pgAdmin. Right-click on the "Databases" node and select "Create" > "Database...". Enter the database name and owner, then click "Save". 2. Create the Schema Once the database is created, you need to create the schema(s) where the tables and other objects will reside. Using psql: sh Copy code psql -U postgres -d target_database_name CREATE SCHEMA target_schema_name; \q Using pgAdmin: Open pgAdmin. Navigate to the newly created database. Right-click on the "Schemas" node and select "Create" > "Schema...". Enter the schema name and owner, then click "Save". Setting Up for Migration Configuration with ora2pg ora2pg requires configuration to connect to both Oracle and PostgreSQL and to specify the target schema. Example ora2pg.conf Configuration: ini Copy code ORACLE_DSN dbi:Oracle:host=oracle_host;sid=oracle_sid;port=1521 ORACLE_USER oracle_user ORACLE_PWD oracle_password PG_DSN dbi:Pg:dbname=target_database_name;host=postgres_host;port=5432 PG_USER postgres_user PG_PWD postgres_password SCHEMA target_schema_name EXPORT_SCHEMA 1 TYPE TABLE OUTPUT /path/to/output Exporting and Importing the Schema Export the Schema from Oracle: sh Copy code ora2pg -t SCHEMA -o output_schema.sql Import the Schema into PostgreSQL: sh Copy code psql -U postgres_user -d target_database_name -f output_schema.sql Full Process Example Step-by-Step Guide: Create the Database: sh Copy code psql -U postgres -c "CREATE DATABASE target_database_name;" Create the Schema: sh Copy code psql -U postgres -d target_database_name -c "CREATE SCHEMA target_schema_name;" Configure ora2pg: Edit the ora2pg.conf file with the appropriate connection details and schema settings. Export Schema from Oracle: sh Copy code ora2pg -t SCHEMA -o output_schema.sql Import Schema into PostgreSQL: sh Copy code psql -U postgres_user -d target_database_name -f output_schema.sql Export Data from Oracle: sh Copy code ora2pg -t COPY -o data.sql Import Data into PostgreSQL: sh Copy code psql -U postgres_user -d target_database_name -f data.sql Post-Migration Steps Verify the Migration: Check the schema and data integrity in PostgreSQL. Ensure all tables, indexes, constraints, and other objects are correctly migrated. Test the Application: Run application tests to ensure compatibility and performance. Adjust any application code as necessary to work with PostgreSQL. Monitor and Optimize: Monitor the PostgreSQL database for performance and stability. Optimize queries and database configurations as needed. Creating the database and schema in PostgreSQL before starting the migration ensures a smoother process and helps prevent potential issues during data import. if ora2pg has the capability of running the assessment report and the migration for more than 1 schemas in single go ChatGPT Yes, ora2pg has the capability to run assessment reports and handle migration for multiple schemas in a single go. To achieve this, you can configure ora2pg to work with multiple schemas by listing them in the configuration file and specifying the tasks you want to perform. Running Assessment Reports for Multiple Schemas To generate an assessment report for multiple schemas, you need to set up the ora2pg configuration to include all the schemas you want to assess. Here’s how you can do it: Configure ora2pg.conf: Edit your ora2pg.conf file to include the schemas you want to assess. ini Copy code ORACLE_DSN dbi:Oracle:host=oracle_host;sid=oracle_sid;port=1521 ORACLE_USER oracle_user ORACLE_PWD oracle_password PG_DSN dbi:Pg:dbname=target_database_name;host=postgres_host;port=5432 PG_USER postgres_user PG_PWD postgres_password # Specify the schemas to be assessed SCHEMA schema1,schema2,schema3 # Enable export of assessment report TYPE SHOW_REPORT OUTPUT /path/to/assessment_report.txt Run the Assessment Report: Execute ora2pg to generate the assessment report for the specified schemas. sh Copy code ora2pg -c /path/to/ora2pg.conf Migrating Multiple Schemas For the actual migration of multiple schemas, ora2pg can be configured to handle each schema in turn, exporting and importing schema objects and data. Update ora2pg.conf for Schema Export: Set up the configuration to handle multiple schemas. This can involve iterating over schemas or specifying multiple schemas at once. ini Copy code ORACLE_DSN dbi:Oracle:host=oracle_host;sid=oracle_sid;port=1521 ORACLE_USER oracle_user ORACLE_PWD oracle_password PG_DSN dbi:Pg:dbname=target_database_name;host=postgres_host;port=5432 PG_USER postgres_user PG_PWD postgres_password # Specify the schemas to be migrated SCHEMA schema1,schema2,schema3 # Enable export of schema and data TYPE TABLE OUTPUT /path/to/output Export Schemas and Data: Run ora2pg to export the schemas and data. You may need to run ora2pg multiple times for different tasks (schema export, data export, etc.). Export Schema: sh Copy code ora2pg -t SCHEMA -o /path/to/output_schema.sql -c /path/to/ora2pg.conf Export Data: sh Copy code ora2pg -t COPY -o /path/to/output_data.sql -c /path/to/ora2pg.conf Import Schemas and Data into PostgreSQL: Once the schema and data are exported, you need to import them into PostgreSQL. Import Schema: sh Copy code psql -U postgres_user -d target_database_name -f /path/to/output_schema.sql Import Data: sh Copy code psql -U postgres_user -d target_database_name -f /path/to/output_data.sql Automating the Process with a Script To streamline the process of migrating multiple schemas, you can create a script that handles the entire workflow. Here is an example of a bash script that automates the assessment and migration: bash Copy code #!/bin/bash # Define Oracle and PostgreSQL credentials ORACLE_DSN="dbi:Oracle:host=oracle_host;sid=oracle_sid;port=1521" ORACLE_USER="oracle_user" ORACLE_PWD="oracle_password" PG_DSN="dbi:Pg:dbname=target_database_name;host=postgres_host;port=5432" PG_USER="postgres_user" PG_PWD="postgres_password" SCHEMAS=("schema1" "schema2" "schema3") # Path to ora2pg configuration ORA2PG_CONF="/path/to/ora2pg.conf" # Generate assessment report for SCHEMA in "${SCHEMAS[@]}"; do ora2pg -c "$ORA2PG_CONF" -t SHOW_REPORT -o "/path/to/assessment_${SCHEMA}.txt" -s "$SCHEMA" done # Export schemas and data for SCHEMA in "${SCHEMAS[@]}"; do ora2pg -c "$ORA2PG_CONF" -t SCHEMA -o "/path/to/output_schema_${SCHEMA}.sql" -s "$SCHEMA" ora2pg -c "$ORA2PG_CONF" -t COPY -o "/path/to/output_data_${SCHEMA}.sql" -s "$SCHEMA" done # Import schemas and data into PostgreSQL for SCHEMA in "${SCHEMAS[@]}"; do psql -U "$PG_USER" -d target_database_name -f "/path/to/output_schema_${SCHEMA}.sql" psql -U "$PG_USER" -d target_database_name -f "/path/to/output_data_${SCHEMA}.sql" done Conclusion ora2pg is capable of handling multiple schemas in a single migration process. By configuring the tool properly and using scripts to automate the workflow, you can efficiently generate assessment reports and migrate multiple schemas from Oracle to PostgreSQL. what character set is supported in postgresql ChatGPT PostgreSQL supports a variety of character sets (encodings), which determine how text is stored and processed within the database. The character set for a PostgreSQL database is specified when the database is created and cannot be changed afterwards. Here are the key character sets supported by PostgreSQL: Commonly Used Character Sets UTF-8 (Unicode Transformation Format 8-bit) Description: UTF-8 is the most widely used encoding in PostgreSQL. It supports all Unicode characters and is suitable for internationalization and multilingual applications. Usage: Recommended for new databases unless there is a specific reason to use another encoding. SQL_ASCII Description: This is the "no conversion" encoding. PostgreSQL stores the bytes exactly as provided. It does not perform any encoding or decoding, and the responsibility for correct encoding falls entirely on the application. Usage: Not recommended for new applications due to the lack of encoding checks and potential for data corruption. LATIN1 (ISO 8859-1) Description: This encoding supports Western European languages. It is also known as ISO 8859-1. Usage: Suitable for applications that require compatibility with older systems using Latin-1 encoding. LATIN2 (ISO 8859-2) Description: This encoding supports Central and Eastern European languages. Usage: Suitable for applications targeting Central and Eastern Europe. LATIN9 (ISO 8859-15) Description: This is a revised version of LATIN1, including the Euro symbol and other additional characters. Usage: An alternative to LATIN1 that includes the Euro symbol. WIN1250 (Windows-1250) Description: This encoding supports Central and Eastern European languages, similar to LATIN2, but is used in Windows environments. Usage: Suitable for applications interoperating with Windows systems using this encoding. WIN1252 (Windows-1252) Description: This encoding supports Western European languages and is widely used in Windows environments. It is similar to LATIN1 but includes additional characters. Usage: Suitable for applications that need compatibility with Windows-encoded data. Full List of Supported Character Sets PostgreSQL supports the following character sets: BIG5: Traditional Chinese, primarily used in Taiwan. EUC_CN: Simplified Chinese. EUC_JP: Japanese. EUC_KR: Korean. EUC_TW: Traditional Chinese. GB18030: Simplified Chinese. GBK: Simplified Chinese, extended version of GB2312. ISO_8859_5: Cyrillic. ISO_8859_6: Arabic. ISO_8859_7: Greek. ISO_8859_8: Hebrew. ISO_8859_9: Turkish. ISO_8859_10: Nordic languages. ISO_8859_13: Baltic languages. ISO_8859_14: Celtic languages. ISO_8859_15: Western European languages (with Euro symbol). ISO_8859_16: Romanian. KOI8R: Cyrillic (Russian). KOI8U: Cyrillic (Ukrainian). MULE_INTERNAL: Mule internal code. SJIS: Shift JIS, Japanese. WIN866: Cyrillic (DOS). WIN874: Thai. WIN1250: Central European. WIN1251: Cyrillic. WIN1252: Western European. WIN1253: Greek. WIN1254: Turkish. WIN1255: Hebrew. WIN1256: Arabic. WIN1257: Baltic. WIN1258: Vietnamese. Specifying Character Set During Database Creation To specify the character set when creating a database in PostgreSQL, use the ENCODING option with the CREATE DATABASE command. For example, to create a database with UTF-8 encoding: sh Copy code CREATE DATABASE mydatabase WITH ENCODING 'UTF8'; Checking Current Character Set You can check the character set of a PostgreSQL database by querying the pg_database catalog: sql Copy code SELECT datname, pg_encoding_to_char(encoding) AS encoding FROM pg_database; This query will list all databases along with their respective character sets. Choosing the appropriate character set is crucial for ensuring proper storage, retrieval, and processing of text data, especially in applications that need to support multiple languages. UTF-8 is generally the best choice for new databases due to its comprehensive support for Unicode characters. what is character set supported from oracle to postgresql ChatGPT When migrating from Oracle to PostgreSQL, it's crucial to ensure that the character sets (encodings) used in Oracle are supported and correctly mapped to those in PostgreSQL. This ensures that text data is accurately transferred and can be properly stored, retrieved, and processed in the new database. Here is a guide on character set compatibility and mapping between Oracle and PostgreSQL: Common Character Sets in Oracle and Their PostgreSQL Equivalents UTF-8 (AL32UTF8 in Oracle) Oracle: AL32UTF8 PostgreSQL: UTF8 Description: Both support all Unicode characters. This is the most commonly used encoding for applications requiring support for multiple languages. WE8ISO8859P1 (ISO 8859-1, Latin-1) Oracle: WE8ISO8859P1 PostgreSQL: LATIN1 Description: Supports Western European languages. WE8ISO8859P15 (ISO 8859-15, Latin-9) Oracle: WE8ISO8859P15 PostgreSQL: LATIN9 Description: Similar to LATIN1 but includes the Euro symbol and other characters. WE8MSWIN1252 (Windows-1252) Oracle: WE8MSWIN1252 PostgreSQL: WIN1252 Description: Commonly used in Windows environments for Western European languages. EE8ISO8859P2 (ISO 8859-2, Latin-2) Oracle: EE8ISO8859P2 PostgreSQL: LATIN2 Description: Supports Central and Eastern European languages. JA16SJIS (Shift-JIS) Oracle: JA16SJIS PostgreSQL: SJIS Description: Used for Japanese characters. ZHS16GBK (GBK) Oracle: ZHS16GBK PostgreSQL: GBK Description: Used for Simplified Chinese characters. Steps to Ensure Proper Character Set Handling During Migration Check Oracle Character Set: Determine the character set used by your Oracle database. sql Copy code SELECT parameter, value FROM nls_database_parameters WHERE parameter = 'NLS_CHARACTERSET'; Choose the Corresponding PostgreSQL Character Set: Based on the Oracle character set, select the appropriate PostgreSQL character set as mentioned above. Create PostgreSQL Database with the Chosen Character Set: Specify the encoding when creating the PostgreSQL database. sh Copy code CREATE DATABASE target_database_name WITH ENCODING 'UTF8'; Configure ora2pg for Correct Encoding: Ensure that ora2pg is configured to handle the character set correctly. You may need to specify the client encoding in your ora2pg.conf. ini Copy code PG_CLIENT_ENCODING UTF8 Data Migration with Character Set Consideration: When exporting data from Oracle and importing it into PostgreSQL, ensure that the data is correctly encoded and decoded according to the specified character sets. Example Configuration for ora2pg Here’s an example ora2pg.conf configuration that includes character set handling: ini Copy code ORACLE_DSN dbi:Oracle:host=oracle_host;sid=oracle_sid;port=1521 ORACLE_USER oracle_user ORACLE_PWD oracle_password PG_DSN dbi:Pg:dbname=target_database_name;host=postgres_host;port=5432 PG_USER postgres_user PG_PWD postgres_password # Specify the client encoding PG_CLIENT_ENCODING UTF8 # Other configurations SCHEMA schema_name TYPE TABLE OUTPUT /path/to/output Verification Verify the Character Set in PostgreSQL: After creating the database and importing the data, verify the character set. sql Copy code SELECT datname, pg_encoding_to_char(encoding) AS encoding FROM pg_database; Data Integrity Checks: Check that the data integrity is maintained post-migration. This includes ensuring that text data appears correctly and that no character data is corrupted. Conclusion Ensuring character set compatibility between Oracle and PostgreSQL is essential for a successful migration. By understanding the mapping between Oracle character sets and their PostgreSQL equivalents, and configuring the migration tools appropriately, you can achieve a seamless and accurate transfer of text data. UTF-8 (AL32UTF8 to UTF8) is generally the safest and most versatile choice for multilingual applications.