The document discusses using Automatic Workload Repository (AWR) to analyze IO subsystem performance. It provides examples of AWR reports including foreground and background wait events, operating system statistics, wait histograms. The document recommends using this data to identify IO bottlenecks and guide tuning efforts like optimizing indexes to reduce full table scans.
Oracle Database Performance Tuning Advanced Features and Best Practices for DBAsZohar Elkayam
Oracle Week 2017 slides.
Agenda:
Basics: How and What To Tune?
Using the Automatic Workload Repository (AWR)
Using AWR-Based Tools: ASH, ADDM
Real-Time Database Operation Monitoring (12c)
Identifying Problem SQL Statements
Using SQL Performance Analyzer
Tuning Memory (SGA and PGA)
Parallel Execution and Compression
Oracle Database 12c Performance New Features
Stop the Chaos! Get Real Oracle Performance by Query Tuning Part 1SolarWinds
In this 2 part webinar series, Janis Griffin, Database Performance Evangelist, SolarWinds, first discusses how to quickly identify the performance disruptors in the database, find which queries to focus on, and show how to examine the execution plan for costly steps.
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentalsJohn Beresniewicz
RMOUG 2020 abstract:
This session will cover core concepts for Oracle performance analysis first introduced in Oracle 10g and forming the backbone of many features in the Diagnostic and Tuning packs. The presentation will cover the theoretical basis and meaning of these concepts, as well as illustrate how they are fundamental to many user-facing features in both the database itself and Enterprise Manager.
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.
Oracle Database Performance Tuning Advanced Features and Best Practices for DBAsZohar Elkayam
Oracle Week 2017 slides.
Agenda:
Basics: How and What To Tune?
Using the Automatic Workload Repository (AWR)
Using AWR-Based Tools: ASH, ADDM
Real-Time Database Operation Monitoring (12c)
Identifying Problem SQL Statements
Using SQL Performance Analyzer
Tuning Memory (SGA and PGA)
Parallel Execution and Compression
Oracle Database 12c Performance New Features
Stop the Chaos! Get Real Oracle Performance by Query Tuning Part 1SolarWinds
In this 2 part webinar series, Janis Griffin, Database Performance Evangelist, SolarWinds, first discusses how to quickly identify the performance disruptors in the database, find which queries to focus on, and show how to examine the execution plan for costly steps.
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentalsJohn Beresniewicz
RMOUG 2020 abstract:
This session will cover core concepts for Oracle performance analysis first introduced in Oracle 10g and forming the backbone of many features in the Diagnostic and Tuning packs. The presentation will cover the theoretical basis and meaning of these concepts, as well as illustrate how they are fundamental to many user-facing features in both the database itself and Enterprise Manager.
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.
AWR Ambiguity: Performance reasoning when the numbers don't add upJohn Beresniewicz
A close look at an AWR report where DB Time is exceeded by the sum of DB CPU and foreground wait time. We recall core Oracle performance principles and instrumentation design on the way to untangling the confusion.
Troubleshooting Tips and Tricks for Database 19c - Sangam 2019Sandesh Rao
DBA's always have a bunch of scripts to do their daily tasks. How to find that stuck session, how to find who is consuming the most resources, how do I take a stack of multiple processes? This session will focus on troubleshooting tips and tricks for DBA's covering tools from the Oracle Autonomous Health Framework (AHF) like Trace file Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , Oratop for pinpointing performance issues and many other native Database features like short stacks, system state summaries, quickly spot hangs across RAC clusters among some of them to make your jobs a lot more efficient and make you look good to your bosses !!
Session aims at introducing less familiar audience to the Oracle database statistics concept, why statistics are necessary and how the Oracle Cost-Based Optimizer uses them
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).
Troubleshooting Complex Oracle Performance Problems with Tanel PoderTanel Poder
Troubleshooting Complex Oracle Performance Problems hacking session & presentation by Tanel Poder.
This presentation is about a complex performance issue where the initial symptoms pointed somewhere else than the root cause. Only when systematically following through the troubleshooting drilldown method, we get to the root cause of the problem. This session aims to help you understand (and reason about) the Oracle’s multi-process & multi-layer system behavior, preparing you for independent troubleshooting of such complex performance issues in the future.
Video recordings of this presentation are in my YouTube channel:
1) Hacking Session: https://www.youtube.com/watch?v=INQewGJMdCI
2) Presentation: https://www.youtube.com/watch?v=aaHZ8A8Ygdg
Tanel's blog and training information: https://blog.tanelpoder.com/seminar
Oracle RAC 12c Practical Performance Management and Tuning as presented during Oracle Open World 2013 with Michael Zoll.
This is part three of the Oracle RAC 12c "reindeer series" used for OOW13 Oracle RAC-related presentations.
This part concludes the main part of the "reindeer series" except for one bonus track "Oracle Multitenant meets Oracle RAC 12c" (available via SlidesShare, too).
Oracle Database performance tuning using oratopSandesh Rao
Oratop is a text-based user interface tool for monitoring basic database operations in real-time. This presentation will go into depth on how to use the tool and some example scenarios. It can be used for both RAC and single-instance databases and in combination with top to get a more holistic view of system performance and identify any bottlenecks.
The biggest headine at the 2009 Oracle OpenWorld was when Larry Ellison announced that Oracle was entering the hardware business with a pre-built database machine, engineered by Oracle. Since then businesses around the world have started to use these engineered systems. This beginner/intermediate-level session will take you through my first 100 days of starting to administer an Exadata machine and all the roadblocks and all the success I had along this new path.
Oracle Real Application Clusters 19c- Best Practices and Internals- EMEA Tour...Sandesh Rao
In this session, I will cover under-the-hood features that power Oracle Real Application Clusters (Oracle RAC) 19c specifically around Cache Fusion and Service management. Improvements in Oracle RAC helps in integration with features such as Multitenant and Data Guard. In fact, these features benefit immensely when used with Oracle RAC. Finally we will talk about changes to the broader Oracle RAC Family of Products stack and the algorithmic changes that helps quickly detect sick/dead nodes/instances and the reconfiguration improvements to ensure that the Oracle RAC Databases continue to function without any disruption
Oracle Database 19c, builds upon key architectural, distributed data and performance innovations established in earlier versions Oracle Database 12c and 18c releases. Oracle 19c has many new features, in this presentation we have covered below areas
Automated Installation, Configuration and Patching
AutoUpgrade and Database Utilities
AWR Ambiguity: Performance reasoning when the numbers don't add upJohn Beresniewicz
A close look at an AWR report where DB Time is exceeded by the sum of DB CPU and foreground wait time. We recall core Oracle performance principles and instrumentation design on the way to untangling the confusion.
Troubleshooting Tips and Tricks for Database 19c - Sangam 2019Sandesh Rao
DBA's always have a bunch of scripts to do their daily tasks. How to find that stuck session, how to find who is consuming the most resources, how do I take a stack of multiple processes? This session will focus on troubleshooting tips and tricks for DBA's covering tools from the Oracle Autonomous Health Framework (AHF) like Trace file Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , Oratop for pinpointing performance issues and many other native Database features like short stacks, system state summaries, quickly spot hangs across RAC clusters among some of them to make your jobs a lot more efficient and make you look good to your bosses !!
Session aims at introducing less familiar audience to the Oracle database statistics concept, why statistics are necessary and how the Oracle Cost-Based Optimizer uses them
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).
Troubleshooting Complex Oracle Performance Problems with Tanel PoderTanel Poder
Troubleshooting Complex Oracle Performance Problems hacking session & presentation by Tanel Poder.
This presentation is about a complex performance issue where the initial symptoms pointed somewhere else than the root cause. Only when systematically following through the troubleshooting drilldown method, we get to the root cause of the problem. This session aims to help you understand (and reason about) the Oracle’s multi-process & multi-layer system behavior, preparing you for independent troubleshooting of such complex performance issues in the future.
Video recordings of this presentation are in my YouTube channel:
1) Hacking Session: https://www.youtube.com/watch?v=INQewGJMdCI
2) Presentation: https://www.youtube.com/watch?v=aaHZ8A8Ygdg
Tanel's blog and training information: https://blog.tanelpoder.com/seminar
Oracle RAC 12c Practical Performance Management and Tuning as presented during Oracle Open World 2013 with Michael Zoll.
This is part three of the Oracle RAC 12c "reindeer series" used for OOW13 Oracle RAC-related presentations.
This part concludes the main part of the "reindeer series" except for one bonus track "Oracle Multitenant meets Oracle RAC 12c" (available via SlidesShare, too).
Oracle Database performance tuning using oratopSandesh Rao
Oratop is a text-based user interface tool for monitoring basic database operations in real-time. This presentation will go into depth on how to use the tool and some example scenarios. It can be used for both RAC and single-instance databases and in combination with top to get a more holistic view of system performance and identify any bottlenecks.
The biggest headine at the 2009 Oracle OpenWorld was when Larry Ellison announced that Oracle was entering the hardware business with a pre-built database machine, engineered by Oracle. Since then businesses around the world have started to use these engineered systems. This beginner/intermediate-level session will take you through my first 100 days of starting to administer an Exadata machine and all the roadblocks and all the success I had along this new path.
Oracle Real Application Clusters 19c- Best Practices and Internals- EMEA Tour...Sandesh Rao
In this session, I will cover under-the-hood features that power Oracle Real Application Clusters (Oracle RAC) 19c specifically around Cache Fusion and Service management. Improvements in Oracle RAC helps in integration with features such as Multitenant and Data Guard. In fact, these features benefit immensely when used with Oracle RAC. Finally we will talk about changes to the broader Oracle RAC Family of Products stack and the algorithmic changes that helps quickly detect sick/dead nodes/instances and the reconfiguration improvements to ensure that the Oracle RAC Databases continue to function without any disruption
Oracle Database 19c, builds upon key architectural, distributed data and performance innovations established in earlier versions Oracle Database 12c and 18c releases. Oracle 19c has many new features, in this presentation we have covered below areas
Automated Installation, Configuration and Patching
AutoUpgrade and Database Utilities
This is a high level presentation I delivered at BIWA Summit. It's just some high level thoughts related to today's NoSQL and Hadoop SQL engines (not deeply technical).
A presentation about new features and enhancements related to indexes and indexing in Oracle 12c.
See also the related post: http://db-oriented.com/2015/07/03/indexes-and-indexing-in-oracle-12c
This presentation talks about the different ways of getting SQL Monitoring reports, reading them correctly, common issues with SQL Monitoring reports - and plenty of Oracle 12c-specific improvements!
Write Less (code) With More (Oracle Database 12c New Features)Oren Nakdimon
Oracle 12c introduced many new features that allow us developers to write less code than in previous releases, and become more efficient and productive.
Some features, such as Row Limiting and Lateral Inline Views, enhance the SQL language, so SQL statements can become much shorter and more readable than before.
Other features, such as Temporal Validity and In-Database Archiving, offer built-in functionality that previously had to be implemented by the application.
Attend this session to learn about several of these new features, and see many useful examples.
Massimo Sarmi: Poste Italiane - Miur, arriva la nuova Carta dello Studente "I...PosteItaliane
Da oggi la Carta dello Studente offre anche i servizi di pagamento per favorire il risparmio dei giovani nell’acquisto di prodotti culturali e didattici. L’iniziativa presentata al MIUR dal Ministro Francesco Profumo, e dall’Ad di Poste Italiane, Massimo Sarmi. Poste Italiane accoglie la richiesta del MIUR di destinare una quota parte dei proventi ricavati dall’utilizzo delle funzioni di pagamento da parte degli studenti, all’istituzione del Fondo per il Diritto allo Studio che sosterrà la realizzazione e promozione dei progetti nazionali per l’accesso allo studio.
Il Ministero dell’Istruzione, Università e Ricerca (MIUR) e Poste Italiane danno vita alla campagna di educazione finanziaria rivolta ai giovani sui nuovi e più sicuri strumenti di pagamento. Protagonisti dell’iniziativa saranno gli studenti delle scuole secondarie di II grado nel quadro delle iniziative previste dal Ministero con il lancio dello strumento di pagamento integrato alla “Carta dello Studente – IoStudio”.
Abstract
Generation Z is born and raised with the social web, they are digital centric and technology is their identity. This generation will be entering in the companies in the coming years but little is known of this generation about their characteristics, needs, attributes and work style. They seem to have different attitudes towards work then the previous generations. Without proper understanding of this generation, organizations will find difficulties to hire and retain them for the sustainable growth of the organizations. By understanding them, the companies can determine what can impact their recruitment and retention success through paying attention to what this generation tick in the workplace. This paper examines the characteristics and preferences of the Generation Z from the existing literature so that organizations can foresee and build work place suitable for them which in turn will impact the organizational performances.
Keywords: Generation Z, Characteristics, Preferences, Workplace.
Troubleshooting Complex Performance issues - Oracle SEG$ contentionTanel Poder
From Tanel Poder's Troubleshooting Complex Performance Issues series - an example of Oracle SEG$ internal segment contention due to some direct path insert activity.
(DAT402) Amazon RDS PostgreSQL:Lessons Learned & New FeaturesAmazon Web Services
Learn the specifics of Amazon RDS for PostgreSQL’s capabilities and extensions that make it powerful. This session begins with a brief overview of the RDS PostgreSQL service, how it provides High Availability & Durability and will then deep dive into the new features that we have released since re:Invent 2014, including major version upgrade and newly added PostgreSQL extensions to RDS PostgreSQL. During the session, we will also discuss lessons learned running a large fleet of PostgreSQL instances, including specific recommendations. In addition we will present benchmarking results looking at differences between the 9.3, 9.4 and 9.5 releases.
Sql server performance tuning and optimizationManish Rawat
Sql server performance tuning and optimization
SQL Server Concepts/Structure
Performance Measuring & Troubleshooting Tools
Locking
Performance Problem : CPU
Performance Problem : Memory
Performance Problem : I/O
Performance Problem : Blocking
Query Tuning
Indexing
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
7. Load Profile 2 Load Profile Per Second Per Transaction Per Exec Per Call ~~~~~~~~~~~~ --------------- --------------- ---------- ---------- DB Time(s): 2.3 7.1 0.63 1.05 DB CPU(s): 0.3 0.9 0.07 0.13 Redo size: 800.5 2,461.8 Logical reads: 6,307.6 19,396.7 Block changes: 3.6 10.9 Physical reads: 2,704.9 8,317.8 Physical writes: 86.9 267.3 User calls: 2.2 6.8 Parses: 2.0 6.1 Hard parses: 0.0 0.1 W/A MB processed: 932,965.4 2,868,990.9 Logons: 0.1 0.2 Executes: 3.7 11.3 Rollbacks: 0.1 0.3 Transactions: 0.3
8.
9. Top 5 Waits Section Top 5 Timed Foreground Events ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Avg wait % DB Event Waits Time(s) (ms) time Wait Class ------------------------------ ------------ ----------- ------ ------ ---------- db file sequential read 465,020 3,969 9 47.4 User I/O DB CPU 995 11.9 db file parallel read 2,251 322 143 3.8 User I/O db file scattered read 15,268 153 10 1.8 User I/O gc current block 2-way 108,739 116 1 1.4 Cluster
10.
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16. Operating System Statistics Operating System Statistics DB/Inst: AULTDB/aultdb1 Snaps: 91-92 -> *TIME statistic values are diffed. All others display actual values. End Value is displayed if different -> ordered by statistic type (CPU Use, Virtual Memory, Hardware Config), Name Statistic Value End Value ------------------------- ---------------------- ---------------- BUSY_TIME 126,029 IDLE_TIME 597,505 IOWAIT_TIME 327,861 NICE_TIME 766 SYS_TIME 48,452 USER_TIME 76,784 LOAD 0 3 PHYSICAL_MEMORY_BYTES 3,189,190,656 NUM_CPUS 2 NUM_CPU_CORES 1 NUM_CPU_SOCKETS 1 GLOBAL_RECEIVE_SIZE_MAX 4,194,304 GLOBAL_SEND_SIZE_MAX 262,144 TCP_RECEIVE_SIZE_DEFAULT 87,380 TCP_RECEIVE_SIZE_MAX 1,048,576 TCP_RECEIVE_SIZE_MIN 4,096 TCP_SEND_SIZE_DEFAULT 65,536 TCP_SEND_SIZE_MAX 1,048,576 TCP_SEND_SIZE_MIN 4,096
17.
18. Foreground Wait Classes Foreground Wait Class DB/Inst: AULTDB/aultdb1 Snaps: 91-92 -> s - second, ms - millisecond - 1000th of a second -> ordered by wait time desc, waits desc -> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0 -> Captured Time accounts for 68.9% of Total DB time 8,371.33 (s) -> Total FG Wait Time: 4,770.85 (s) DB CPU time: 995.13 (s) Avg %Time Total Wait wait Wait Class Waits -outs Time (s) (ms) %DB time -------------------- ---------------- ----- ---------------- -------- --------- User I/O 518,267 0 4,449 9 53.1 DB CPU 995 11.9 Cluster 188,753 9 173 1 2.1 Other 3,806,446 100 146 0 1.7 Concurrency 1,854 2 2 1 0.0 Commit 15 0 1 39 0.0 Application 740 0 0 0 0.0 System I/O 40 0 0 3 0.0 Network 6,970 0 0 0 0.0 Configuration 0 0 0.0 -------------------------------------------------------------
19. Foreground Wait Events Foreground Wait Events DB/Inst: AULTDB/aultdb1 Snaps: 91-92 -> s - second, ms - millisecond - 1000th of a second -> Only events with Total Wait Time (s) >= .001 are shown -> ordered by wait time desc, waits desc (idle events last) -> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0 Avg %Time Total Wait wait Waits % DB Event Waits -outs Time (s) (ms) /txn time -------------------------- ------------ ----- ---------- ------- -------- ------ db file sequential read 465,020 0 3,969 9 395.8 47.4 db file parallel read 2,251 0 322 143 1.9 3.8 db file scattered read 15,268 0 153 10 13.0 1.8 gc current block 2-way 108,739 11 116 1 92.5 1.4 PX Deq: reap credit 3,247,703 100 107 0 2,764.0 1.3 gc cr grant 2-way 57,265 7 28 0 48.7 .3 gc cr multi block request 22,451 6 23 1 19.1 .3 enq: BF - allocation conte 14 93 14 983 0.0 .2 PX qref latch 555,843 100 9 0 473.1 .1 IPC send completion sync 1,070 52 8 8 0.9 .1 gc remaster 22 0 5 221 0.0 .1
20.
21. Background Wait Events Background Wait Events DB/Inst: AULTDB/aultdb1 Snaps: 91-92 -> ordered by wait time desc, waits desc (idle events last) -> Only events with Total Wait Time (s) >= .001 are shown -> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0 Avg %Time Total Wait wait Waits % bg Event Waits -outs Time (s) (ms) /txn time -------------------------- ------------ ----- ---------- ------- -------- ------ control file sequential re 8,336 0 72 9 7.1 33.5 control file parallel writ 1,287 0 31 24 1.1 14.5 db file parallel write 792 0 11 14 0.7 5.3 log file parallel write 701 0 11 15 0.6 4.9 events in waitclass Other 44,191 98 5 0 37.6 2.5 library cache pin 449 0 2 4 0.4 .8 db file sequential read 221 0 2 7 0.2 .8 gc cr multi block request 1,915 0 2 1 1.6 .7 os thread startup 19 0 1 56 0.0 .5 gc cr block 2-way 246 0 0 1 0.2 .2 db file scattered read 18 0 0 12 0.0 .1 db file parallel read 3 0 0 59 0.0 .1 gc current grant 2-way 98 0 0 1 0.1 .1
22.
23. Wait Event Histograms Wait Event Histogram DB/Inst: AULTDB/aultdb1 Snaps: 91-92 -> Units for Total Waits column: K is 1000, M is 1000000, G is 1000000000 -> % of Waits: value of .0 indicates value was <.05%. Value of null is truly 0 -> % of Waits: column heading of <=1s is truly <1024ms, >1s is truly >=1024ms -> Ordered by Event (idle events last) % of Waits ----------------------------------------------- Total Event Waits <1ms <2ms <4ms <8ms <16ms <32ms <=1s >1s -------------------------- ----- ----- ----- ----- ----- ----- ----- ----- ----- control file parallel writ 1287 59.0 24.1 16.9 control file sequential re 9147 23.4 21.3 23.3 22.3 6.8 2.9 .0 db file parallel read 2256 .3 1.0 7.4 32.6 56.8 1.9 db file parallel write 792 .5 .8 4.2 28.7 50.0 8.8 7.1 db file scattered read 15K .4 2.7 31.5 59.2 5.8 .5 db file sequential read 465K .0 .6 2.2 49.5 45.0 2.3 .4 gc cr grant 2-way 50K 87.2 11.1 1.3 .3 .2 .0 gc cr multi block request 24K 59.0 36.8 3.0 .5 .6 .0 gc current block 2-way 84K 6.5 87.7 5.2 .3 .2 .0 library cache lock 488 82.8 10.9 4.9 1.0 .2 .2 library cache pin 4371 77.6 11.1 7.4 3.1 .6 .0 gcs remote message 274K 28.5 15.4 9.9 11.6 7.5 5.8 21.4 ges remote message 53K 11.4 3.3 2.7 1.9 1.8 2.1 76.8 -------------------------------------------------------------
24.
25. Service Statistics Service Statistics DB/Inst: AULTDB/aultdb1 Snaps: 91-92 -> ordered by DB Time Physical Logical Service Name DB Time (s) DB CPU (s) Reads (K) Reads (K) ---------------------------- ------------ ------------ ------------ ------------ aultdb 8,344 981 9,769 22,715 SYS$USERS 23 12 1 56 SYS$BACKGROUND 1 0 1 17 aultdbXDB 0 0 0 0 -------------------------------------------------------------
26. Service Wait Class Statistics Service Wait Class Stats DB/Inst: AULTDB/aultdb1 Snaps: 91-92 -> Wait Class info for services in the Service Statistics section. -> Total Waits and Time Waited displayed for the following wait classes: User I/O, Concurrency, Administrative, Network -> Time Waited (Wt Time) in seconds Service Name ---------------------------------------------------------------- User I/O User I/O Concurcy Concurcy Admin Admin Network Network Total Wts Wt Time Total Wts Wt Time Total Wts Wt Time Total Wts Wt Time --------- --------- --------- --------- --------- --------- --------- --------- aultdb 517710 4446 234 1 0 0 5828 0 SYS$USERS 555 3 1615 1 0 0 1140 0 SYS$BACKGROUND 350 3 3486 4 0 0 0 0 -------------------------------------------------------------
30. AWR SQL Disk Reads Section SQL ordered by Reads DB/Inst: TEST/test Snaps: 29415-29416 -> Total Disk Reads: 1,736,422 -> Captured SQL account for 93.6% of Total Reads CPU Elapsed Physical Reads Executions per Exec %Total Time (s) Time (s) SQL Id -------------- ----------- ------------- ------ -------- --------- ------------- 268,145 5 53,629.0 15.4 16.42 1214.21 7k0dau5j6m6mw select * from ( SELECT c.TRANSACTION_NUMBER trx , c.CARD_BRANCH_CODE CARD_B RANCH_CODE , c.TERMINAL_ID_ACTUAL TERMINAL_ID_ACTUAL , c.BANK_CODE BANK_CODE , c.MERCHANT_ID MERCHANT_ID , c.Product_Type Product_Type , c.AUX_SERIAL_NUMB ER AUX_SERIAL_NUMBER , c.STATUS_CODE STATUS_CODE , c.TRANSACTION_TYPE TRANSACT 246,073 4 61,518.3 14.2 14.56 798.11 adf3kr30mg56w select count(*) aa from ISWITCH_TRANSACTIONS c Where c.Added_Date between : 1 and :2 and c.status_code ='1' AND c.TERMINAL_ID_ACTUAL IN (select INSTANCE_ ID from ISWITCH_CHANNEL_INSTANCE i where i.BRANCH_CODE = '012' ) and c.TERMINAL _ID_ACTUAL ='A0000012' and c.Transaction_Type ='102' and c.Product_Type ='ATM'
31. Instance Statistics Instance Activity Stats DB/Inst: ORCL/orcl Snaps: 29415-29416 Statistic Total per Second per Trans -------------------------------- -------- ----------- ------------- DBWR checkpoint buffers written 2,764 0.8 0.7 DBWR checkpoints 36 0.0 0.0 DBWR object drop buffers written 0 0.0 0.0 DBWR parallel query checkpoint b 118 0.0 0.0 DBWR revisited being-written buf 0 0.0 0.0 DBWR tablespace checkpoint buffe 0 0.0 0.0 DBWR thread checkpoint buffers w 0 0.0 0.0 DBWR transaction table writes 84 0.0 0.0 DBWR undo block writes 612 0.2 0.2 summed dirty queue length 1,747 0.5 0.4
32. Instance Statistics Statistic Total per Second per Trans -------------------------------- -------- ----------- ------------- change write time 68 0.0 0.0 cluster key scan block gets 10,664 3.0 2.6 cluster key scans 2,363 0.7 0.6 index fast full scans (direct re 0 0.0 0.0 index fast full scans (full) 787 0.2 0.2 index fast full scans (rowid ran 0 0.0 0.0 index fetch by key 93,700 26.0 22.4 index scans kdiixs1 71,615 19.9 17.2 leaf node 90-10 splits 20 0.0 0.0 leaf node splits 67 0.0 0.0 lob reads 49 0.0 0.0 lob writes 157 0.0 0.0 lob writes unaligned 157 0.0 0.0
33. Instance Statistics Statistic Total per Second per Trans ------------------------------- -------------- ----------- ----------- physical read IO requests 1,306,076 362.7 312.7 physical read bytes 14,224,769,024 3,950,124.3 3,405,498.9 physical read total IO requests 1,318,016 366.0 315.5 physical read total bytes 14,446,929,920 4,011,816.9 3,458,685.6 physical read total multi block 66,857 18.6 16.0 physical reads 1,736,422 482.2 415.7 physical reads cache 1,634,630 453.9 391.3 physical reads cache prefetch 344,579 95.7 82.5 physical reads direct 101,792 28.3 24.4 physical reads direct (lob) 0 0.0 0.0 physical reads direct temporary 0 0.0 0.0 physical reads prefetch warmup 0 0.0 0.0
34. Instance Statistics Statistic Total per Second per Trans -------------------------------- ----------- ---------- -------------physical write IO requests 4,208 1.2 1.0 physical write bytes 42,860,544 11,902.1 10,261.1 physical write total IO requests 26,028 7.2 6.2 physical write total bytes 238,408,192 66,204.4 57,076.4 physical write total multi block 12,240 3.4 2.9 physical writes 5,232 1.5 1.3 physical writes direct 247 0.1 0.1 physical writes direct (lob) 0 0.0 0.0 physical writes direct temporary 0 0.0 0.0 physical writes from cache 4,985 1.4 1.2 physical writes non checkpoint 3,862 1.1 0.9
35. Instance statistics Statistic Total per Second per Trans -------------------------------- -------- ----------- ------------- redo synch time 739 0.2 0.2 redo synch writes 9,341 2.6 2.2 redo write time 803 0.2 0.2 redo writes 6,159 1.7 1.5