The document discusses Oracle database backup and recovery concepts. It covers write-ahead logging, how data modifications are written to the redo log and then to datafiles, and how backup and recovery works by applying redo logs to restore datafiles to a previous consistent state. It also explains different log record types, archive log mode, and how media recovery uses redo logs and backups to recover from data failures.
The document discusses Oracle database architecture including the relationship between Oracle software, operating system resources like CPUs, memory and disks, Oracle processes like background processes and server processes, and database structures like the system global area (SGA), program global area (PGA), control files, redo logs and data files. It also covers Oracle memory management, instance startup/shutdown, and basic database administration tasks.
Any DBA from beginner to advanced level, who wants to fill in some gaps in his/her knowledge about Performance Tuning on an Oracle Database, will benefit from this workshop.
Tanel Poder Oracle Scripts and Tools (2010)Tanel Poder
Tanel Poder's Oracle Performance and Troubleshooting Scripts & Tools presentation initially presented at Hotsos Symposium Training Day back in year 2010
Oracle RAC is an option to the Oracle Database Enterprise Edition. At least, this is what it is known for. This presentation shows the many ways in which the stack, which is known as Oracle RAC can be used in the most efficient way for various use cases.
This document discusses Oracle database performance tuning. It covers identifying common Oracle performance issues such as CPU bottlenecks, memory issues, and inefficient SQL statements. It also outlines the Oracle performance tuning method and tools like the Automatic Database Diagnostic Monitor (ADDM) and performance page in Oracle Enterprise Manager. These tools help administrators monitor performance, identify bottlenecks, implement ADDM recommendations, and tune SQL statements reactively when issues arise.
This version of "Oracle Real Application Clusters (RAC) 19c & Later – Best Practices" was first presented in Oracle Open World (OOW) London 2020 and includes content from the OOW 2019 version of the deck. The deck has been updated with the latest information regarding ORAchk as well as upgrade tips & tricks.
This is a recording of my Advanced Oracle Troubleshooting seminar preparation session - where I showed how I set up my command line environment and some of the main performance scripts I use!
Oracle SQL tuning involves optimizing SQL statements for better performance. Key aspects of SQL tuning include identifying SQL statements with high resource consumption or response times using tools like ADDM, AWR, and V$SQL. Statements can then be tuned by gathering accurate optimizer statistics, adjusting the execution plan using hints, rewriting the SQL, or changing indexes and tables. Tuning is done at both the design and execution stages.
This document provides an overview of Oracle 12c Pluggable Databases (PDBs). Key points include:
- PDBs allow multiple databases to be consolidated within a single container database (CDB), providing benefits like faster provisioning and upgrades by doing them once per CDB.
- Each PDB acts as an independent database with its own data dictionary but shares resources like redo logs at the CDB level. PDBs can be unplugged from one CDB and plugged into another.
- Hands-on labs demonstrate how to create, open, clone, and migrate PDBs between CDBs. The document also compares characteristics of CDBs and PDBs and shows how a non-C
This document discusses techniques for optimizing SQL performance in Oracle databases. It covers topics like optimizing the optimizer itself through configuration changes and statistics collection, detecting poorly performing SQL, and methods for improving plans such as indexing, partitioning, hints and baselines. The goal is to maximize the optimizer's accuracy and ability to handle edge cases, while also knowing how to intervene when needed to capture fugitive SQL and ensure acceptable performance.
Understanding oracle rac internals part 2 - slidesMohamed Farouk
This document discusses Oracle Real Application Clusters (RAC) internals, specifically focusing on client connectivity and node membership. It provides details on how clients connect to a RAC database, including connect time load balancing, connect time and runtime connection failover. It also describes the key processes that manage node membership in Oracle Clusterware, including CSSD and how it uses network heartbeats and voting disks to monitor nodes and remove failed nodes from the cluster.
1) The document discusses Oracle database auditing features before and after version 12.1. It describes migrating the audit trail to the unified audit trail and using the SYS.UNIFIED_AUDIT_TRAIL table.
2) It provides steps to configure syslog auditing on Linux for Oracle database audit records. Procedures are created to output messages to syslog and call it from a fine-grained auditing policy handler.
3) An example fine-grained auditing policy is created to audit access to the SECDEMO.CUSTOMER table and call the syslog handler for non-application users.
The document discusses Oracle database architecture including the relationship between Oracle software, operating system resources like CPUs, memory and disks, Oracle processes like background processes and server processes, and database structures like the system global area (SGA), program global area (PGA), control files, redo logs and data files. It also covers Oracle memory management, instance startup/shutdown, and basic database administration tasks.
Any DBA from beginner to advanced level, who wants to fill in some gaps in his/her knowledge about Performance Tuning on an Oracle Database, will benefit from this workshop.
Tanel Poder Oracle Scripts and Tools (2010)Tanel Poder
Tanel Poder's Oracle Performance and Troubleshooting Scripts & Tools presentation initially presented at Hotsos Symposium Training Day back in year 2010
Oracle RAC is an option to the Oracle Database Enterprise Edition. At least, this is what it is known for. This presentation shows the many ways in which the stack, which is known as Oracle RAC can be used in the most efficient way for various use cases.
This document discusses Oracle database performance tuning. It covers identifying common Oracle performance issues such as CPU bottlenecks, memory issues, and inefficient SQL statements. It also outlines the Oracle performance tuning method and tools like the Automatic Database Diagnostic Monitor (ADDM) and performance page in Oracle Enterprise Manager. These tools help administrators monitor performance, identify bottlenecks, implement ADDM recommendations, and tune SQL statements reactively when issues arise.
This version of "Oracle Real Application Clusters (RAC) 19c & Later – Best Practices" was first presented in Oracle Open World (OOW) London 2020 and includes content from the OOW 2019 version of the deck. The deck has been updated with the latest information regarding ORAchk as well as upgrade tips & tricks.
This is a recording of my Advanced Oracle Troubleshooting seminar preparation session - where I showed how I set up my command line environment and some of the main performance scripts I use!
Oracle SQL tuning involves optimizing SQL statements for better performance. Key aspects of SQL tuning include identifying SQL statements with high resource consumption or response times using tools like ADDM, AWR, and V$SQL. Statements can then be tuned by gathering accurate optimizer statistics, adjusting the execution plan using hints, rewriting the SQL, or changing indexes and tables. Tuning is done at both the design and execution stages.
This document provides an overview of Oracle 12c Pluggable Databases (PDBs). Key points include:
- PDBs allow multiple databases to be consolidated within a single container database (CDB), providing benefits like faster provisioning and upgrades by doing them once per CDB.
- Each PDB acts as an independent database with its own data dictionary but shares resources like redo logs at the CDB level. PDBs can be unplugged from one CDB and plugged into another.
- Hands-on labs demonstrate how to create, open, clone, and migrate PDBs between CDBs. The document also compares characteristics of CDBs and PDBs and shows how a non-C
This document discusses techniques for optimizing SQL performance in Oracle databases. It covers topics like optimizing the optimizer itself through configuration changes and statistics collection, detecting poorly performing SQL, and methods for improving plans such as indexing, partitioning, hints and baselines. The goal is to maximize the optimizer's accuracy and ability to handle edge cases, while also knowing how to intervene when needed to capture fugitive SQL and ensure acceptable performance.
Understanding oracle rac internals part 2 - slidesMohamed Farouk
This document discusses Oracle Real Application Clusters (RAC) internals, specifically focusing on client connectivity and node membership. It provides details on how clients connect to a RAC database, including connect time load balancing, connect time and runtime connection failover. It also describes the key processes that manage node membership in Oracle Clusterware, including CSSD and how it uses network heartbeats and voting disks to monitor nodes and remove failed nodes from the cluster.
1) The document discusses Oracle database auditing features before and after version 12.1. It describes migrating the audit trail to the unified audit trail and using the SYS.UNIFIED_AUDIT_TRAIL table.
2) It provides steps to configure syslog auditing on Linux for Oracle database audit records. Procedures are created to output messages to syslog and call it from a fine-grained auditing policy handler.
3) An example fine-grained auditing policy is created to audit access to the SECDEMO.CUSTOMER table and call the syslog handler for non-application users.
1. AWSOME Day whiteboard discusses AWS authorized training center 恆逸教育訓練中心 and its certified instructors.
2. It shows diagrams of basic EC2 architecture including instances, ephemeral storage, EBS volumes, and hosting across availability zones.
3. It also illustrates setting up a VPC with private and public subnets and attaching an internet gateway.
This document provides an overview of MySQL including its architecture, clients, connection layer, SQL layer, storage engines, and installation methods. Key points include:
- MySQL uses a connection thread pool, query cache, parser, optimizer, and various storage engines like InnoDB and MyISAM.
- Common MySQL clients allow executing queries, administering the server, checking tables, backing up data, and more.
- The connection layer handles authentication and the communication protocol.
- The SQL layer performs parsing, optimization, and determining the optimal execution plan.
- Storage engines like InnoDB and MyISAM support different features and have different performance characteristics for storage, indexing, and more.
The document discusses how an in-memory column store manages cached data and transaction journals. It explains that the IMCO prioritizes cached data refresh based on priority levels like critical, high, and medium. For SELECT statements, it is best to choose cached data when it is not stale, while UPDATE statements check if cached data has become stale before deciding whether to use the cache or transaction journal. The SMCO checks cached data against a staleness threshold every 2 minutes to determine if the cache needs repopulating from the transaction journal.
This document compares the key differences between Oracle and SQL Server databases. It discusses differences in database structure, terminology, stored procedure languages, and transaction control. It provides comparisons of table types, constraints, indexes, views, data types, functions and more between the two database systems.
This document provides an overview of Hadoop and the Hadoop ecosystem. It discusses key Hadoop concepts like HDFS, MapReduce, YARN and data locality. It also summarizes SQL on Hadoop using tools like Hive, Impala and Spark SQL. The document concludes with examples of using Sqoop and Flume to move data between relational databases and Hadoop.
The document discusses Oracle database performance tuning. It covers reactive and proactive performance tuning, the top-down tuning methodology, common types of performance issues, and metrics for measuring performance such as response time and throughput. It also compares online transaction processing (OLTP) systems and data warehouses (DW), and describes different architectures for integrating OLTP and DW systems.
The document discusses B-tree indexes in Oracle Database, including their structure as balanced trees, how index entries are stored for B-tree and bitmap indexes, and how the indexes are maintained during data manipulation language (DML) operations like inserts, deletes, and updates on the associated table. It also covers topics like why an optimizer may not use an index, index constraints, reorganizing indexes, and myths about index performance tuning.