The document discusses configuring and managing a read-only standby Oracle 8i database. It describes standby database basics, new Oracle 8i capabilities for standby databases, and how to set up a standby database including initial configuration, starting up the standby instance, and ongoing operational issues. It also provides an example of recovering a standby database after a primary database change and the resulting state of data on the standby.
Testing Oracle 12c new features of Database Table rows Archiving. Better for quick recovery information than finding tape, load that and restore somewhere first.
آموزش مدیریت بانک اطلاعاتی اوراکل - بخش پانزدهمfaradars
بانک اطلاعاتی اوراکل بی شک یکی از قدرتمندترین نرم افزارها برای مدیریت اطلاعاتی با حجم بسیار بالا می باشد هدف از این آموزش یادگیری مفاهیم پیچیده معماری و چالش های مدیریتی دیتابیس است که به شما کمک خواهد کرد تا به سرعت مطالب را فرا گرفته و به اهداف خود نزدیک شوید .
سرفصل هایی که در این آموزش به آن پرداخته شده است:
معماری دیتابیس اوراکل
آماده سازی محیط بانک اطلاعاتی
ایجاد دیتابیس اوراکل
مدیریت بخش حافظه ای اوراکل
پیکربندی محیط شبکه در اوراکل
...
برای توضیحات بیشتر و تهیه این آموزش لطفا به لینک زیر مراجعه بفرمائید:
http://faradars.org/courses/fvorc9408
Testing Oracle 12c new features of Database Table rows Archiving. Better for quick recovery information than finding tape, load that and restore somewhere first.
آموزش مدیریت بانک اطلاعاتی اوراکل - بخش پانزدهمfaradars
بانک اطلاعاتی اوراکل بی شک یکی از قدرتمندترین نرم افزارها برای مدیریت اطلاعاتی با حجم بسیار بالا می باشد هدف از این آموزش یادگیری مفاهیم پیچیده معماری و چالش های مدیریتی دیتابیس است که به شما کمک خواهد کرد تا به سرعت مطالب را فرا گرفته و به اهداف خود نزدیک شوید .
سرفصل هایی که در این آموزش به آن پرداخته شده است:
معماری دیتابیس اوراکل
آماده سازی محیط بانک اطلاعاتی
ایجاد دیتابیس اوراکل
مدیریت بخش حافظه ای اوراکل
پیکربندی محیط شبکه در اوراکل
...
برای توضیحات بیشتر و تهیه این آموزش لطفا به لینک زیر مراجعه بفرمائید:
http://faradars.org/courses/fvorc9408
La presentación que utilicé durante mi ponencia en las XVII Jornadas de Estudios de Lingüística: lenguaje y deporte organizadas por la Universitat d'Alacant
Your tuning arsenal: AWR, ADDM, ASH, Metrics and AdvisorsJohn Kanagaraj
Oracle Database 10g brought in a slew of tuning and performance related tools and indeed a new way of dealing with performance issues. Even though 10g has been around for a while, many DBAs haven’t really used many of the new features, mostly because they are not well known or understood. In this Expert session, we will look past the slick demos of the new tuning and performance related tools and go “under the hood”. Using this knowledge, we will bypass the GUI and look at the views and counters that matter and quickly understand what they are saying. Tools covered include AWR, ADDM, ASH, Metrics, Tuning Advisors and their related views. Much of information about Oracle Database 10g presented in this paper has been adapted from my book and I acknowledge that with gratitude to my publisher - SAMS (Pearson).
SQL tuning An execution plan is the output of the optimizer and is presented to the execution engine for
implementation. It instructs the execution engine about the operations that it must perform for
most efficiently retrieving the data required by a query.
The EXPLAIN PLAN statement gathers execution plans chosen by the Oracle optimizer for
the SELECT, UPDATE, INSERT, and DELETE statements. The steps of the execution plan are
not performed in the order in which they are numbered. There is a parent-child relationship
between steps. The row source tree is the core of the execution plan. It shows the following
information: • An ordering of the tables referenced by the statement
• An access method for each table mentioned in the statement
• A join method for tables affected by join operations in the statement
• Data operations, such as filter, sort, or aggregation
In addition to the row source tree (or data flow tree for parallel operations), the plan table
contains information about the following:
• Optimization, such as the cost and cardinality of each operation
• Partitioning, such as the set of accessed partitions
• Parallel execution, such as the distribution method of join inputs
The EXPLAIN PLAN results help you determine whether the optimizer selects a particular When you tune a SQL statement in an OLTP environment, the goal is to drive from the table
that has the most selective filter. This means that there are fewer rows passed to the next
step. If the next step is a join, this means fewer rows are joined. Check to see whether the
access paths are optimal. When you examine the optimizer execution plan, check to confirm
the following:
• The plan is such that the driving table has the best filter.
• The join order in each step means that the fewest number of rows are returned to the
next step (that is, the join order should reflect going to the best not-yet-used filters).
• The join method is appropriate for the number of rows being returned. For example,
nested loops joins through indexes may not be optimal when many rows are returned.
• Views are used efficiently. Look at the SELECT list to see whether access to the view is
necessary.
• There are any unintentional Cartesian products (even with small tables).
• Each table is being accessed efficiently. Consider the predicates in the SQL statement and the number of rows in the table. Look for suspicious activity, such as a full table
scan on tables with large number of rows, which have predicates in the WHERE clause.
Also, a full table scan might be more efficient on a small table, or to leverage a better
join method (for example, hash join) for the number of rows returned.
If any of these conditions are not optimal, consider restructuring the SQL statement or the
indexes available on the tables. There are many ways to retrieve execution plans inside the database. The most well known
ones are listed in the slide:
• The EXPLAIN PLAN command enables you to view the execution plan that the
opt
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
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AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
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✅Choose the temperature of the content and control its randomness.
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✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
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✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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3. 2
Why Use a Standby Database?
u Provide a current, ready-to-go
database should regular server
fail
u Hardware Independent,
Software solution
u Remote Backup Data Center
2
4. 3
Standby Database - The Picture
Server A
PR01
Instance
PR01
Archive
Storage
Server B
Archive Logs
Via Net8
SB01
Instance
PR01
Archive
Storage
5. 4
Standby Basics
u Start with a copy of Database
u Keep it in continuous recovery mode
u Feed and apply archive logs as soon as
generated
u Standby only as good as last applied
Archive Log
6. 5
Utilizing Wasted Hardware
u Failures are infrequent
u Lots of $$$ tied up
u Demand for reports
u Regular
u Ad Hoc
u What if...Open Read Only
7. 6
New Capabilities in Oracle8i
u Alter Database Open Read Only
u Managed Recovery
u Archive Log Path via Net8
u Up to 5 Archive Log Paths
u Mandatory or Optional
u Enable or Defer
u Locally Managed Tablespace
8. 7
Getting Started - Planning
u Plan your Filenames
(DB_FILE_NAME_CONVERT)
u Setup Standby Server
u Oracle version and patch
level
u Physical Path name mapping
u init.ora for Standby Instance
9. 8
PR01 Archive Log Parameters
u log_archive_max_processes = 2 (or more)
u log_archive_dest_1= 'LOCATION=
/oracle/a01/pr01/archive/arch mandatory reopen=5'
u log_archive_dest_state_1 = enable
u log_archive_dest_2= 'SERVICE=sb01 optional
reopen=60’
u log_archive_dest_state_2 = enable
u log_min_succeed_dest=1
10. 9
Standby Init.Ora Details
u Different Values for Redo Logs and Controlfiles
u New Parameters
u standby_log_dest=(same as log_archive_dest)
u log_archive_format=arch%t_%s.dbf
u Remove Dual Archive Log paths
u Audit_trail=FALSE or OS
u All others Identical
u compatible=8.1.5 in both
11. 10
Getting Started - Preparing
u Create Tablespace TEMP tempfile ‘…’ extent
management local uniform size 5m;
u Copy primary database files to Standby system
u ALTER DATABASE CREATE STANDBY
CONTROLFILE AS 'standby.ctl';
u Rcp standby.ctl to location of all control files on
Server B.
u Alter System Switch Logfile
12. 11
Getting Started - Starting up
u STARTUP NOMOUNT pfile=initsb01.ora
u ALTER DATABASE MOUNT STANDBY
DATABASE;
u RECOVER STANDBY DATABASE;
u ALTER DATABASE OPEN READ ONLY;
13. 12
Operational Issues - Cautions
u Always keep Standby Instance running
u If log switch on pr01 while sb01 not running, must
manually copy archive log and RECOVER
STANDBY DATABASE.
u Any incomplete recovery on pr01 invalidates sb01
14. 13
Operational Issues - Updating
u To update and re-open read only:
u RECOVER MANAGED STANDBY DATABASE
TIMEOUT 1;
u ALTER DATABASE OPEN READ ONLY;
u To use as a pure standby database,
u RECOVER MANAGED STANDBY DATABASE;
15. 14
Operational Issues - Troubleshooting
u Architecture appears solid
u Able to recover every mess I’ve tried.
u Use Creating new Standby Controlfile as a
Last Resort.
16. 15
Operational Issues - Physical Changes
u New Tablespace or Data File
u rcp file to Server B *before* attempting recovery
u Managed Recovery WILL FAIL;
u alter database create datafile '/oracle/d11/pr01/users02.dbf'
as '/oracle/d11/pr01/users02.dbf';
u Resume Managed Recovery
u File Resizing is not a problem.
17. 16
An Interesting Example - PR01 Commands
SQL> Alter Tablespace users add datafile ‘…pr01/users02…’ size 2M;
SQL> Create table ac4 Tablespace users as select * from ac3;
SQL> @extents_by_file users02
FID File Name (/oracle/...) Block Segment Name ExID Bytes
---- ------------------------ ------- ------------- ---- -------
8 d11/pr01/users02 2 AC4 1 143,360
d11/pr01/users02 37 AC4 2 131,072
d11/pr01/users02 69 AC4 3 131,072
SQL> select {…} from dba_segments where segment_name = 'AC4';
OWNER SEGMENT_NAME SEGMENT_TYPE TABLESPACE_NAME
------ ------------ ------------ ---------------
ORACLE AC4 TABLE USERS
SQL> select count(*) from oracle.ac4;
712
18. 17
An Interesting Example - Recover SB01
SQL> recover managed standby database timeout 1;
ORA-01547: warning: RECOVER succeeded but OPEN RESETLOGS would get error below
ORA-01194: file 8 needs more recovery to be consistent
ORA-01110: data file 8: '/oracle/d11/dvd6/users02.dbf'
ORA-16016: archived log for thread 1 sequence# 213 unavailable
WHAT WAS WRITTEN TO THE ALERT LOG:
Media Recovery Start: Managed Standby Recovery
WARNING! Recovering data file 8 from a fuzzy file. If not the current file
it might be an online backup taken without entering the begin backup command.
Media Recovery Log
Media Recovery Log /oracle/x01/dv08/archive/arch1_211.dbf
Media Recovery Log /oracle/x01/dv08/archive/arch1_212.dbf
Media Recovery Waiting for thread 1 seq# 213
Thu Jul 29 09:35:25 1999
Wait timeout: thread 1 sequence# 213
ORA-1547 signalled during: ALTER DATABASE RECOVER managed standby database ...
19. 18
An Interesting Example - Recover SB01
Continuing the recovery of SB01 from the earlier slide…
SQL> connect internal;
Connected
SQL> alter database create datafile /oracle/d11/pr01/users02.dbf’ as
'/oracle/d11/pr01/users02.dbf';
SQL> recover managed standby database timeout 1;
ORA-00283: recovery session canceled due to errors
ORA-16016: archived log for thread 1 sequence# 213 unavailable
SQL> alter database open read only;
Database altered.
20. 19
An Interesting Example - SB01 Queries
SQL> select count(*) from oracle.ac4;
ERROR at line 1: ORA-00942: table or view does not exist
SQL> @extents_by_file users02
FID File Name (/oracle/...) Block Segment Name ExID Bytes
---- ------------------------ ------- ------------- ---- -------
8 d11/pr01/users02 2 AC4 1 143,360
d11/pr01/users02 37 AC4 2 131,072
d11/pr01/users02 69 AC4 3 131,072
SQL> select {…} from dba_segments where segment_name = 'AC4';
OWNER SEGMENT_NAME SEGMENT_TYPE TABLESPACE_NAME
------ ------------ ------------ ---------------
ORACLE AC4 TABLE USERS
SQL> descr oracle.ac4
ERROR: ORA-04043: object oracle.ac4 does not exist
21. 20
An Interesting Example - What Happened?
u What happened?
u How can a table be there, but
not exist?
22. 21
An Interesting Example - Log Switch
u What happened?
u How can a table be there, but
not exist?
u Lesson Learned: If you want
your Standby to look like your
primary, force a log switch
before Managed recovery
23. 22
Summary, Commentary, Conclusions
u Standby Database Support has matured
greatly in Oracle8i
u Open Read Only is a powerful tool
u Requires care to setup properly
u Some operational issues
u No showstopper bugs encountered
u Documentation is pretty good
u Remember to force log switch
24. 23
For More Information...
u Email address: bschott@corecomm.net
u Web page: www.corecomm.net/
~bschott/standby.html
25. 24
The ECO/OUR Conference is moving to the
fall in 2001
u The Conference will be held at the Opryland Hotel in
Nashville, TN
u Dates are September 30 thru October 3, 2001
u For more information call 910 452-0006 or visit us
on the web at www.oracle-users.com