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….
Rule of Thumb for Estimating Concurrent DB Connections on a 24-Core Machine (Single Thread Each) The number of concurrent database connections a 24-core machine can handle depends on various factors, including: Hypothetical Calculation Based on CPU A single-threaded, single-core system can typically handle 2-10 concurrent active queries (depending on execution time and parallelism). For a…
