Here’s a practical comparison of MySQL for Oracle DBAs, focusing on key concepts, terminology, architecture, and daily operations so that you can quickly map your Oracle knowledge to MySQL. I’ll structure it in a table format followed by important notes: 🔁 Oracle to MySQL Mapping Table (Essentials for Oracle DBAs) Concept / Task Oracle MySQL…
Excellent! Since you’re already a seasoned Oracle DBA on Linux, transitioning to MySQL will be straightforward — but you’ll need to shift focus to MySQL’s different architecture, tooling, and storage engine model. 🧠 Training Plan: MySQL DBA for Oracle DBAs (Linux-Based) We’ll cover the following areas step-by-step. Each topic will include theory, practical commands, and…
set serveroutput onaccept v_sqlid prompt ‘SQLID:’accept v_phv prompt ‘PHV:’ var pvm numberbegin:pvm := dbms_spm.load_plans_from_cursor_cache(sql_id=>’&v_sqlid’, plan_hash_value=>&v_phv, fixed =>’NO’, enabled=>’YES’);end;/ EXEC dbms_output.put_line(‘Number of plans loaded: ‘ || :pvm);
declaremyplan pls_integer;beginmyplan:=DBMS_SPM.drop_sql_plan_baseline (sql_handle => ‘&sql_handle’);end;/
accept v_sqlid prompt ‘Enter sqlid ‘accept v_phv prompt ‘Enter PHV ‘set serveroutput on DECLAREv_first_snapid number;v_last_snapid number;v_sqlset varchar2(1000);loaded_plans number; BEGINselect max(ss.snap_id)-3, max(ss.snap_id)into v_first_snapid, v_last_snapidfrom DBA_HIST_SQLSTAT S, DBA_HIST_SNAPSHOT SSwhere sql_id = ‘&v_sqlid’and plan_hash_value = ‘&v_phv’and ss.snap_id = S.snap_idand ss.instance_number = S.instance_numberand executions_delta > 0 ; loaded_plans := dbms_spm.load_plans_from_awr( begin_snap=>v_first_snapid,end_snap=>v_last_snapid,basic_filter=>q’# sql_id=’&v_sqlid’ and plan_hash_value=’&v_phv’ #’ ); dbms_output.put_line(‘loaded-plans= ‘ ||…
set serveroutput onvar res numberexec :res :=DBMS_SPM.DROP_SQL_PLAN_BASELINE (‘&original_sql_handle’,’&original_plan_name’);exec dbms_output.put_line(‘Number of plans dropped: ‘ || :res);
set lines 120 pages 200col dd format a20col inst_id format 99col metric_name format a30col value format 99.99 select x.dd, x.inst_id, x.metric_name, x.value “%CPU”, y.sessfrom(select to_char(sysdate, ‘DD-MON-RRRR:HH24:MI’) DD, inst_id, metric_name, valuefrom gv$sysmetricwhere metric_name like ‘Host CPU Utilization%’ and group_id=2 ) x,(select inst_id, count(1) sess from gv$sessionwhere status = ‘ACTIVE’ and osuser != ‘oracle’group by inst_id) ywhere…
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col SAMPLE_TIME format a25col program format a20col SQL_EXEC_START format a25col machine format a15set lines 140 pages 200alter session set nls_date_format=’DD-MON-RRRR:HH24:MI:SS’; select SAMPLE_TIME, SESSION_ID, SESSION_SERIAL#, USER_ID, sql_ID, Machine, program, SQL_EXEC_STARTfrom gv$active_session_historywhere session_id = &v_session_idand sample_time > sysdate – 1/24order by sample_time/
To connect Python to Oracle Database using an Oracle Wallet, you can use the cx_Oracle or oracledb library with Oracle Client libraries (like Oracle Instant Client). Oracle Wallet simplifies secure connections by storing credentials and SSL certificates. ✅ Steps to Connect Python to Oracle using Oracle Wallet Step 1: Install Required Python Package Step 2:…
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Handling JSON and XML Data in Oracle Oracle provides built-in support for JSON and XML data storage, querying, and manipulation. Below are methods to handle both data types efficiently. 1. Handling JSON Data in Oracle A. Storing JSON Data Example: Creating a Table with JSON Column B. Inserting JSON Data C. Querying JSON Data 1….
