- Undo record chaining allows Oracle to rollback multiple transactions by linking undo records together in a chain.
- When an update is made, an undo record is generated and added to the undo block. A new record contains the before image of the update.
- Undo records for a transaction are chained together by transaction ID and sequence number. This allows Oracle to efficiently rollback a whole transaction by traversing the undo record chain.
[ODI] chapter1 When Update statement is executed, How does oracle undo work?EXEM
When an update statement is executed in Oracle, the undo mechanism works as follows:
1. Oracle generates a new change undo (CU) block in the buffer cache to track the before image of the updated row.
2. The original data block is copied to the new CU block, and the original block is marked as a change redo (CR) block.
3. Oracle allocates memory and assigns a transaction ID (XID) to the transaction in the V$TRANSACTION view, tracking the undo information for the update.
[ODI] chapter3 What is Max CR DBA(Max length)? EXEM
The document discusses how Oracle's buffer cache allocates consistent read (CR) blocks and current (CU) blocks when updating a single column value in a table multiple times with commits. It finds that with the parameter _db_block_max_cr_dba set to 6, Oracle allocates a new CU block for each update while reusing the first 6 CR blocks, allocating a new one for the 7th update. Screenshots from an internal tool show the state of blocks in the buffer cache after each update.
This document discusses transaction slot before-image chaining in Oracle databases. It begins with questions about cleanout, undo storage, and commit SCNs. It then describes the architecture of before-image chaining, where commit SCNs and other metadata are stored in undo blocks and transaction control blocks to link a transaction's multiple before-images together. Diagrams show how before-images are chained across multiple undo blocks using these references.
The document describes the Oracle undo segment and how it tracks changes to data in transactions.
1) It shows the initial state when a value of "A" is entered into a table column.
2) It then shows an update transaction that changes the value from "A" to "B", with the undo segment recording the before image of "A".
3) A second update transaction is shown, changing the value from "B" to "C", with the undo segment recording the before images of "B" and "A".
1. The document describes how Oracle allocates CU blocks and CR blocks in the buffer cache when updating column values from A to I through consecutive commits.
2. It shows the expected outcome of 6 CR blocks being allocated for the 6 updates before a new CU block is needed.
3. An analysis using ODI Analyzer on an Oracle database shows this expected behavior occurring, with CR blocks 1-6 being allocated and reused for each update before a new CU block is created on the 7th update.
Compiling Imperative and Object-Oriented Languages - Garbage CollectionGuido Wachsmuth
The document discusses garbage collection techniques. It describes mark and sweep garbage collection, which involves two steps: 1) marking all reachable records from program roots like variables; and 2) sweeping through and deleting any unmarked records. Reference counting is also covered, where records with a reference count of 0 are deleted. Copy collection and generational garbage collection are briefly mentioned.
[ODI] chapter1 When Update statement is executed, How does oracle undo work?EXEM
When an update statement is executed in Oracle, the undo mechanism works as follows:
1. Oracle generates a new change undo (CU) block in the buffer cache to track the before image of the updated row.
2. The original data block is copied to the new CU block, and the original block is marked as a change redo (CR) block.
3. Oracle allocates memory and assigns a transaction ID (XID) to the transaction in the V$TRANSACTION view, tracking the undo information for the update.
[ODI] chapter3 What is Max CR DBA(Max length)? EXEM
The document discusses how Oracle's buffer cache allocates consistent read (CR) blocks and current (CU) blocks when updating a single column value in a table multiple times with commits. It finds that with the parameter _db_block_max_cr_dba set to 6, Oracle allocates a new CU block for each update while reusing the first 6 CR blocks, allocating a new one for the 7th update. Screenshots from an internal tool show the state of blocks in the buffer cache after each update.
This document discusses transaction slot before-image chaining in Oracle databases. It begins with questions about cleanout, undo storage, and commit SCNs. It then describes the architecture of before-image chaining, where commit SCNs and other metadata are stored in undo blocks and transaction control blocks to link a transaction's multiple before-images together. Diagrams show how before-images are chained across multiple undo blocks using these references.
The document describes the Oracle undo segment and how it tracks changes to data in transactions.
1) It shows the initial state when a value of "A" is entered into a table column.
2) It then shows an update transaction that changes the value from "A" to "B", with the undo segment recording the before image of "A".
3) A second update transaction is shown, changing the value from "B" to "C", with the undo segment recording the before images of "B" and "A".
1. The document describes how Oracle allocates CU blocks and CR blocks in the buffer cache when updating column values from A to I through consecutive commits.
2. It shows the expected outcome of 6 CR blocks being allocated for the 6 updates before a new CU block is needed.
3. An analysis using ODI Analyzer on an Oracle database shows this expected behavior occurring, with CR blocks 1-6 being allocated and reused for each update before a new CU block is created on the 7th update.
Compiling Imperative and Object-Oriented Languages - Garbage CollectionGuido Wachsmuth
The document discusses garbage collection techniques. It describes mark and sweep garbage collection, which involves two steps: 1) marking all reachable records from program roots like variables; and 2) sweeping through and deleting any unmarked records. Reference counting is also covered, where records with a reference count of 0 are deleted. Copy collection and generational garbage collection are briefly mentioned.
This document summarizes several myths about database redo, undo, commit, and rollback operations. It presents test cases and analysis to debunk the myths. The author is an experienced Oracle DBA who specializes in performance tuning and internals. Sample redo records are displayed and analyzed to explain how operations like rollback do generate redo. The document aims to clarify misunderstandings about the internal workings of Oracle's transaction and redo logging.
Dbms plan - A swiss army knife for performance engineersRiyaj Shamsudeen
This document discusses dbms_xplan, a tool for performance engineers to analyze execution plans. It provides options for displaying plans from the plan table, shared SQL area in memory, and AWR history. Dbms_xplan provides more detailed information than traditional tools like tkprof, including predicates, notes, bind values, and plan history. It requires privileges to access dictionary views for displaying plans from memory and AWR. The document also demonstrates usage examples and output formats for dbms_xplan.analyze.
1. The COBOLBinaryHelper loads COBOL data from SequenceFiles and parses the bytes into a structured record based on the provided COPYBOOK.
2. The record contains the raw COBOL field values as bytearrays as well as parsed versions as strings and arrays.
3. Pig UDFs can then operate directly on the parsed fields to analyze and transform the COBOL data.
The document contains information about various digital circuits that can be used for a VHDL practical exam, including code and simulations for:
1. A 4-bit by 4-bit multiplier circuit with VHDL code and a simulation forcing inputs and displaying outputs.
2. An 8-bit by 8-bit multiplier circuit with similar VHDL code and simulation.
3. A 128-bit by 8-bit RAM circuit with 1024 bits of memory, VHDL code, and a simulation storing values and reading them back out.
The document discusses bypassing Data Execution Prevention (DEP) and Address Space Layout Randomization (ASLR) protections on Windows without using return-oriented programming (ROP) or just-in-time (JIT) spraying. It describes how the SharedUserData structure located at a fixed virtual address contains pointers that can be leveraged, such as the SystemCall pointer on x86 and the LdrHotPatchRoutine pointer on x64, to redirect execution without dependencies on randomization. Examples provided include exploiting vulnerabilities like MS08-078 and MS12-063.
This document provides an overview of memory management in the kernel, including:
1. The bootmem allocator is used initially by the kernel to manage memory, using a bitmap to track free/reserved pages.
2. Later, the buddy system is used to manage memory, tracking more complex page statuses using struct page.
3. Memory is divided into zones like Normal and Highmem, with boundaries defined differently on x86 and ARM architectures.
The document contains SQL commands that create tables, insert data, and perform queries on the tables. The tables created are studies, software, and programmer. Data is inserted and various queries are run to retrieve, aggregate, and analyze the data. Key information summarized includes:
- Tables were created to store student studies data, software project data, and programmer details.
- Data was inserted into the tables and various queries were run to retrieve, calculate statistics on, and analyze the data across the tables.
- Queries included finding averages, minimums, maximums, counts, sums, and using functions like trunc, round, and to_char to manipulate dates and strings.
This document contains assembly code for initializing an LCD display and related hardware on a microcontroller. It defines constants for LCD cursor positioning and characters for displaying volume levels and note lengths. It includes functions for resetting the LCD cursor, moving the cursor left and right, and setting the cursor position. It handles a complication where position 64 wraps to 84, to ensure proper cursor positioning.
This document provides information about Frits Hoogland, an Oracle database performance, configuration and capacity specialist with 25 years of experience. It discusses mutexes in the Oracle database, noting they were gradually implemented starting in Oracle 10.2 to manage concurrency. The presentation assumes knowledge of concepts like mutexes/spinlocks and the general workings of the database.
The document discusses exploring the x64 architecture, covering topics such as the x64 application binary interface, memory layout differences between x86 and x64, API hooking and code injection techniques for x64, and differences in system calls between x86 and x64. It provides an overview of key technical details and concepts for developers working with x64 platforms.
The Ring programming language version 1.9 book - Part 68 of 210Mahmoud Samir Fayed
This code defines a GraphicsApp class that uses RingOpenGL and RingAllegro to render multiple textured cubes. The class loads bitmap textures, sets up the OpenGL viewport and projection matrix, and draws cubes with different textures applied. It rotates the cubes over time and handles user input and redraw events to animate the scene.
MySQLinsanity! This document provides an overview of Stanley Huang's MySQL performance tuning experience and expertise. It begins with introductions and background on Stanley Huang. It then discusses the typical phases of MySQL performance tuning projects, including SQL tuning and RDBMS tuning. Specific tips are provided around topics like slow query logging, index usage, partitioning, and server configuration. The document concludes with an invitation for questions.
1. The document describes various Moshell commands used for managing RBS nodes.
2. The acc 0 manualrestart command is used to restart the RBS node, while the pol 5 5 command polls the node every 5 seconds to check when the MO service is ready after restart.
3. Other commands described are for checking CV configuration (cvcu, cvls), managing CVs (cvset, cvmk, cvrm), and accessing measurement data (st mme, ue print).
This document provides an introduction to cost based optimization. It discusses key concepts like selectivity, cardinality, histograms, and correlation issues. The author is Riyaj Shamsudeen, an Oracle expert with 18 years of experience. Sample code and examples are provided to illustrate how to calculate selectivity and cardinality accurately to improve query optimization. Extended statistics are highlighted as a way to address correlation between column predicates in Oracle 11g and above.
Watching And Manipulating Your Network TrafficJosiah Ritchie
This is an intro presentation to using the powerful tools for provided for linux in the area of networking. These are command line only tools because in a good network firewall, you won't have the option of graphical tools.
The Ring programming language version 1.5.3 book - Part 68 of 184Mahmoud Samir Fayed
This document describes code for rendering multiple textured cubes in 3D using RingOpenGL and RingAllegro. It defines a GraphicsApp class that initializes OpenGL and Allegro, loads three bitmap textures, and contains functions to draw the scene with multiple cubes, apply rotations, and handle events. The cubes are drawn by binding each texture and rendering the six faces of each cube with texture coordinates. Rotations are applied around the X, Y and Z axes each frame to animate the scene.
Secrets of building a debuggable runtime: Learn how language implementors sol...Dev_Events
Bjørn Vårdal, J9VM Software Developer, IBM, @bvaardal
New language runtimes appear all the time, but most of them die young. Failure can be attributed to
different reasons, but an important factor is that lack of support can limit the community’s and
industry’s willingness to adopt the new language.
Quicker development and improved serviceability allows emerging languages to overcome this obstacle.
By building on the proven technology available in Eclipse OMR, language developers can get more than
performance and stability; you also get tools that help you quickly debug your language runtime,
allowing you to provide competitive serviceability.
From this presentation, you will learn how to enable Eclipse OMR’s mature debugging features in your
language runtime, and also how Eclipse OMR can assist with development and debugging
This document provides a summary of files and programs installed on a Windows 7 system between January 16th and February 16th 2013. It lists new files and folders created, installed programs, active services, drivers, and other system information. Changes included installing AVG Secure Search, Samsung drivers, and updates to existing programs like Flash Player and Outpost Firewall. The summary also notes exclusions made and files/folders created during the period.
The document discusses IO subsystem architecture in Linux. It contains 3 layers: block layer, DM layer and request queue/elevator. The block layer handles generic block IO requests and completion events. The DM layer consists of components like LVM2 and EVMS. The request queue schedules requests using algorithms like deadline and anticipatory. It also contains probes and tracepoints to monitor IO events.
엑셈 편집부, 『그림으로 명쾌하게 풀어쓴 Practical OWI in Oracle 10g』, 엑셈(2007)
실제 Practical OWI 세미나에서 사용됐던 다양하고 상세한 그림을 그대로 사용하면서 시각적인 효과를 높이고, 상세한 설명을 통해 최대한 그림에 대한 이해를 돕도록 했습니다.
----------------------------------------------------------------------------------------------------------------------
EXEM
- 네이버 블로그: http://blog.naver.com/playexem
- Youtube 엑셈 tv: https://www.youtube.com/channel/UC5wKR_-A0eL_Pn_EMzoauJg
- Maxgauge facebook: https://www.facebook.com/yourmaxgauge/
The document outlines the agenda for the 8th demand seminar held by EXEM, including presentations on PostgreSQL Vacuum and MySQL locks. The PostgreSQL presentation covers the details of Vacuum including its behavior during updates, deletes, and different Vacuum commands. The MySQL presentation covers different types of locks in MySQL including global read locks, table locks, and string locks.
This document summarizes several myths about database redo, undo, commit, and rollback operations. It presents test cases and analysis to debunk the myths. The author is an experienced Oracle DBA who specializes in performance tuning and internals. Sample redo records are displayed and analyzed to explain how operations like rollback do generate redo. The document aims to clarify misunderstandings about the internal workings of Oracle's transaction and redo logging.
Dbms plan - A swiss army knife for performance engineersRiyaj Shamsudeen
This document discusses dbms_xplan, a tool for performance engineers to analyze execution plans. It provides options for displaying plans from the plan table, shared SQL area in memory, and AWR history. Dbms_xplan provides more detailed information than traditional tools like tkprof, including predicates, notes, bind values, and plan history. It requires privileges to access dictionary views for displaying plans from memory and AWR. The document also demonstrates usage examples and output formats for dbms_xplan.analyze.
1. The COBOLBinaryHelper loads COBOL data from SequenceFiles and parses the bytes into a structured record based on the provided COPYBOOK.
2. The record contains the raw COBOL field values as bytearrays as well as parsed versions as strings and arrays.
3. Pig UDFs can then operate directly on the parsed fields to analyze and transform the COBOL data.
The document contains information about various digital circuits that can be used for a VHDL practical exam, including code and simulations for:
1. A 4-bit by 4-bit multiplier circuit with VHDL code and a simulation forcing inputs and displaying outputs.
2. An 8-bit by 8-bit multiplier circuit with similar VHDL code and simulation.
3. A 128-bit by 8-bit RAM circuit with 1024 bits of memory, VHDL code, and a simulation storing values and reading them back out.
The document discusses bypassing Data Execution Prevention (DEP) and Address Space Layout Randomization (ASLR) protections on Windows without using return-oriented programming (ROP) or just-in-time (JIT) spraying. It describes how the SharedUserData structure located at a fixed virtual address contains pointers that can be leveraged, such as the SystemCall pointer on x86 and the LdrHotPatchRoutine pointer on x64, to redirect execution without dependencies on randomization. Examples provided include exploiting vulnerabilities like MS08-078 and MS12-063.
This document provides an overview of memory management in the kernel, including:
1. The bootmem allocator is used initially by the kernel to manage memory, using a bitmap to track free/reserved pages.
2. Later, the buddy system is used to manage memory, tracking more complex page statuses using struct page.
3. Memory is divided into zones like Normal and Highmem, with boundaries defined differently on x86 and ARM architectures.
The document contains SQL commands that create tables, insert data, and perform queries on the tables. The tables created are studies, software, and programmer. Data is inserted and various queries are run to retrieve, aggregate, and analyze the data. Key information summarized includes:
- Tables were created to store student studies data, software project data, and programmer details.
- Data was inserted into the tables and various queries were run to retrieve, calculate statistics on, and analyze the data across the tables.
- Queries included finding averages, minimums, maximums, counts, sums, and using functions like trunc, round, and to_char to manipulate dates and strings.
This document contains assembly code for initializing an LCD display and related hardware on a microcontroller. It defines constants for LCD cursor positioning and characters for displaying volume levels and note lengths. It includes functions for resetting the LCD cursor, moving the cursor left and right, and setting the cursor position. It handles a complication where position 64 wraps to 84, to ensure proper cursor positioning.
This document provides information about Frits Hoogland, an Oracle database performance, configuration and capacity specialist with 25 years of experience. It discusses mutexes in the Oracle database, noting they were gradually implemented starting in Oracle 10.2 to manage concurrency. The presentation assumes knowledge of concepts like mutexes/spinlocks and the general workings of the database.
The document discusses exploring the x64 architecture, covering topics such as the x64 application binary interface, memory layout differences between x86 and x64, API hooking and code injection techniques for x64, and differences in system calls between x86 and x64. It provides an overview of key technical details and concepts for developers working with x64 platforms.
The Ring programming language version 1.9 book - Part 68 of 210Mahmoud Samir Fayed
This code defines a GraphicsApp class that uses RingOpenGL and RingAllegro to render multiple textured cubes. The class loads bitmap textures, sets up the OpenGL viewport and projection matrix, and draws cubes with different textures applied. It rotates the cubes over time and handles user input and redraw events to animate the scene.
MySQLinsanity! This document provides an overview of Stanley Huang's MySQL performance tuning experience and expertise. It begins with introductions and background on Stanley Huang. It then discusses the typical phases of MySQL performance tuning projects, including SQL tuning and RDBMS tuning. Specific tips are provided around topics like slow query logging, index usage, partitioning, and server configuration. The document concludes with an invitation for questions.
1. The document describes various Moshell commands used for managing RBS nodes.
2. The acc 0 manualrestart command is used to restart the RBS node, while the pol 5 5 command polls the node every 5 seconds to check when the MO service is ready after restart.
3. Other commands described are for checking CV configuration (cvcu, cvls), managing CVs (cvset, cvmk, cvrm), and accessing measurement data (st mme, ue print).
This document provides an introduction to cost based optimization. It discusses key concepts like selectivity, cardinality, histograms, and correlation issues. The author is Riyaj Shamsudeen, an Oracle expert with 18 years of experience. Sample code and examples are provided to illustrate how to calculate selectivity and cardinality accurately to improve query optimization. Extended statistics are highlighted as a way to address correlation between column predicates in Oracle 11g and above.
Watching And Manipulating Your Network TrafficJosiah Ritchie
This is an intro presentation to using the powerful tools for provided for linux in the area of networking. These are command line only tools because in a good network firewall, you won't have the option of graphical tools.
The Ring programming language version 1.5.3 book - Part 68 of 184Mahmoud Samir Fayed
This document describes code for rendering multiple textured cubes in 3D using RingOpenGL and RingAllegro. It defines a GraphicsApp class that initializes OpenGL and Allegro, loads three bitmap textures, and contains functions to draw the scene with multiple cubes, apply rotations, and handle events. The cubes are drawn by binding each texture and rendering the six faces of each cube with texture coordinates. Rotations are applied around the X, Y and Z axes each frame to animate the scene.
Secrets of building a debuggable runtime: Learn how language implementors sol...Dev_Events
Bjørn Vårdal, J9VM Software Developer, IBM, @bvaardal
New language runtimes appear all the time, but most of them die young. Failure can be attributed to
different reasons, but an important factor is that lack of support can limit the community’s and
industry’s willingness to adopt the new language.
Quicker development and improved serviceability allows emerging languages to overcome this obstacle.
By building on the proven technology available in Eclipse OMR, language developers can get more than
performance and stability; you also get tools that help you quickly debug your language runtime,
allowing you to provide competitive serviceability.
From this presentation, you will learn how to enable Eclipse OMR’s mature debugging features in your
language runtime, and also how Eclipse OMR can assist with development and debugging
This document provides a summary of files and programs installed on a Windows 7 system between January 16th and February 16th 2013. It lists new files and folders created, installed programs, active services, drivers, and other system information. Changes included installing AVG Secure Search, Samsung drivers, and updates to existing programs like Flash Player and Outpost Firewall. The summary also notes exclusions made and files/folders created during the period.
The document discusses IO subsystem architecture in Linux. It contains 3 layers: block layer, DM layer and request queue/elevator. The block layer handles generic block IO requests and completion events. The DM layer consists of components like LVM2 and EVMS. The request queue schedules requests using algorithms like deadline and anticipatory. It also contains probes and tracepoints to monitor IO events.
엑셈 편집부, 『그림으로 명쾌하게 풀어쓴 Practical OWI in Oracle 10g』, 엑셈(2007)
실제 Practical OWI 세미나에서 사용됐던 다양하고 상세한 그림을 그대로 사용하면서 시각적인 효과를 높이고, 상세한 설명을 통해 최대한 그림에 대한 이해를 돕도록 했습니다.
----------------------------------------------------------------------------------------------------------------------
EXEM
- 네이버 블로그: http://blog.naver.com/playexem
- Youtube 엑셈 tv: https://www.youtube.com/channel/UC5wKR_-A0eL_Pn_EMzoauJg
- Maxgauge facebook: https://www.facebook.com/yourmaxgauge/
The document outlines the agenda for the 8th demand seminar held by EXEM, including presentations on PostgreSQL Vacuum and MySQL locks. The PostgreSQL presentation covers the details of Vacuum including its behavior during updates, deletes, and different Vacuum commands. The MySQL presentation covers different types of locks in MySQL including global read locks, table locks, and string locks.
This document summarizes the results of comparing standard Vacuum and Vacuum Full operations in PostgreSQL. Standard Vacuum deletes just deleted tuple identifiers, while Vacuum Full rewrites the entire table. The summary describes how inserting, deleting, and vacuuming data affects the table size and contents as seen in the data files.
Are you hitting your Governor Limits? Is your system performance not up to expectations? Are you worried about your capacity to grow or merge multiple orgs? Then this session is for you. Join us as we line up the suspects, find out who's guilty, and how you can avoid being a victim in the closest thing to a murder-mystery at this year's DreamForce. We'll walk you through real situations, and most importantly, how we solved them.
1. The document describes how Oracle allocates CU blocks and CR blocks in the buffer cache when updating column values from A to I through consecutive commits.
2. It shows the expected outcome of 6 CR blocks being allocated for the 6 updates before a new CU block is needed.
3. Using a tool to view the internal Oracle buffer cache, it demonstrates this expected behavior, showing the CR blocks and CU blocks allocated for updates from A to I.
This technical report discusses configuration of the Performance Schema in MySQL 5.6. It describes configuration tables for setting monitoring targets, consumers, instruments, and objects. It shows commands for checking default settings and updating configurations. Benchmarks with different Performance Schema settings show throughput decreased when instruments were enabled but wait events only configuration had less impact than fully enabling instruments.
The document discusses Oracle Database performance tuning. It begins by defining performance as the accepted throughput for a given workload. Performance tuning is defined as optimizing resource use to increase throughput and minimize contention. A performance problem occurs when database tasks do not complete in a timely manner, such as SQL running longer than usual or users facing slowness. Performance problems can be caused by contention for resources, overutilization of the system, or poorly written SQL. The document discusses various performance diagnostics tools and concepts like wait events, enqueues, I/O performance, and provides examples of how to analyze issues related to these areas.
The document discusses Oracle database logging and redo operations. It describes how Oracle uses physiological logging to generate redo records from change vectors. Change vectors transition database blocks between versions. Redo records group change vectors and transition the overall database state. The document provides an example redo record for an INSERT statement, showing the change vectors for both the table and undo segments involved in the transaction.
Kernel Recipes 2013 - Deciphering OopsiesAnne Nicolas
The Linux kernel is a very complex beast living in millions of households and data centers around the world. Normally, you’re not supposed to notice its presence but when it gets cranky because of something not suiting it, it spits crazy messages called colloquially
oopses and panics.
In this talk, we’re going to try to understand how to read those messages in order to be able to address its complaints so that it can get back to work for us.
WinDbg is a low-level debugger for Windows that provides features like usermode debugging, kernel debugging, post-mortem debugging, and support for debugging extensions. It can be used to debug crashes, analyze memory leaks, find deadlocks, and investigate other issues when the higher-level Visual Studio debugger is not sufficient. The document provides examples of using WinDbg commands and extensions like SOS to debug memory leaks, analyze crashes based on offset or dump files, and investigate .NET deadlocks.
Debuggers are one of the most important tools in the programmer’s toolkit, but also one of the most overlooked pieces of technology. They have to work in some of the harshest conditions, supporting a huge set of programming languages and aggressive transformations by compilers. What makes them work? And when don’t they work?
In this talk, we will take you on a journey to some of the darkest and most confusing pits of systems programming involving debug formats, compilers and process control. we will describe situations where debuggers have failed you, and why. wef you’re not hacking on debuggers and are not a masochist, you will walk away with an increased appreciation of life.
QUIC is a new transport protocol developed by Google to replace TCP+TLS. It aims to reduce latency by eliminating OSI layers and supporting features like 0-RTT handshakes. The document provides a high-level overview of QUIC including its architecture, use of TLS 1.3, streams for multiplexing data, and support for features like connection migration through the use of connection IDs. It also discusses QUIC's current implementation status and adoption. Examples are given of QUIC packets and the handshake process.
The log captures SNMP permission errors when a user attempts to access the system before being added. The user "netapp" is then added, resolving the issue. Network interfaces and storage disks are listed.
The document describes debugging a program called DebuggingTV02 across multiple versions and symbol loads. It shows call stacks extracted with the 'kL' command and disassembly of functions with 'ub'. Across the versions, it reloads symbols and fixes issues loading symbols for version 2. It summarizes calling conventions and steps through setting symbol paths and reloading symbols and modules.
Troubleshooting Tips and Tricks for Database 19c ILOUG Feb 2020Sandesh Rao
This session will focus on 19 troubleshooting tips and tricks for DBAs 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 others to make one feel like a rockstar DBA
We are all told that we must use bind variables rather than literals in our code, and then are left to deal with the problems this causes. This issue probably still causes more performance tuning problems than any other. This presentation discusses how Oracle has handled the optimisation of statements using bind variables from version 8i to the new features in Oracle 11g and highlights some issues that still exist in version 11g.
The document discusses analyzing crashes using WinDbg. It provides tips on reconstructing crashed call stacks and investigating what thread or lock is causing a hang. The debugging commands discussed include !analyze, !locks, .cxr, kb to find the crashing function and stuck thread.
The document discusses cracking pay TV systems by analyzing the Digicipher 2 conditional access system used in satellite and cable networks. It provides details on the MPEG transport stream, encryption methods, and service information tables used by Digicipher 2 to control access. Methods discussed include capturing signals with USB tuners, decoding service information tables in the transport stream, analyzing encryption keys and algorithms by disassembling firmware from the access control processor.
The document provides diagnostic information from a system error on an application. Key details include:
- The error number is 10100 and the message is "Invalid switch: 2".
- System information includes the version, OS, and invalid command line argument.
- Diagnostic information is provided for various system components including memory allocation, disk drives, file systems, and PCI devices/interrupts.
This document provides information about digital television broadcast standards and protocols. It discusses topics like the PID (packet identifier), PAT (program association table), PMT (program map table), EIT (event information table), and MPEG-2 transport stream specifications. Code snippets and technical details are included about how different data elements like events, descriptors, and text characters are structured and encoded.
The document discusses Exadata Smart Scan, which offloads SQL processing from the database layer to the storage cell layer. Smart Scan passes only the required data blocks filtered by predicates to the database server instead of all blocks. Testing shows that with Smart Scan, a count query takes 0.05 seconds versus 15.68 seconds without Smart Scan. Analysis of statistics with Smart Scan shows most blocks are filtered at the storage layer with only a small amount of data, about 0.18MB, returned to the database layer.
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 !!
This document discusses the crash reporting mechanism in Tizen. It describes the crash client, which handles crash signals and generates crash reports. It covers Samsung's crash-work-sdk and Intel's corewatcher crash clients. It also discusses the crash server that receives reports and the CrashDB web interface. Finally, it mentions crash reason location algorithms.
Linux 4.x Tracing: Performance Analysis with bcc/BPFBrendan Gregg
Talk about bcc/eBPF for SCALE15x (2017) by Brendan Gregg. "BPF (Berkeley Packet Filter) has been enhanced in the Linux 4.x series and now powers a large collection of performance analysis and observability tools ready for you to use, included in the bcc (BPF Complier Collection) open source project. BPF nowadays can do system tracing, software defined networks, and kernel fast path: much more than just filtering packets! This talk will focus on the bcc/BPF tools for performance analysis, which make use of other built in Linux capabilities: dynamic tracing (kprobes and uprobes) and static tracing (tracepoints and USDT). There are now bcc tools for measuring latency distributions for file system I/O and run queue latency, printing details of storage device I/O and TCP retransmits, investigating blocked stack traces and memory leaks, and a whole lot more. These lead to performance wins large and small, especially when instrumenting areas that previously had zero visibility. Tracing superpowers have finally arrived, built in to Linux."
Kernel Recipes 2017 - Performance analysis Superpowers with Linux BPF - Brend...Anne Nicolas
The in-kernel Berkeley Packet Filter (BPF) has been enhanced in recent kernels to do much more than just filtering packets. It can now run user-defined programs on events, such as on tracepoints, kprobes, uprobes, and perf_events, allowing advanced performance analysis tools to be created. These can be used in production as the BPF virtual machine is sandboxed and will reject unsafe code, and are already in use at Netflix.
Beginning with the bpf() syscall in 3.18, enhancements have been added in many kernel versions since, with major features for BPF analysis landing in Linux 4.1, 4.4, 4.7, and 4.9. Specific capabilities these provide include custom in-kernel summaries of metrics, custom latency measurements, and frequency counting kernel and user stack traces on events. One interesting case involves saving stack traces on wake up events, and associating them with the blocked stack trace: so that we can see the blocking stack trace and the waker together, merged in kernel by a BPF program (that particular example is in the kernel as samples/bpf/offwaketime).
This talk will discuss the new BPF capabilities for performance analysis and debugging, and demonstrate the new open source tools that have been developed to use it, many of which are in the Linux Foundation iovisor bcc (BPF Compiler Collection) project. These include tools to analyze the CPU scheduler, TCP performance, file system performance, block I/O, and more.
Brendan Gregg, Netflix
Kernel Recipes 2017: Performance Analysis with BPFBrendan Gregg
Talk by Brendan Gregg at Kernel Recipes 2017 (Paris): "The in-kernel Berkeley Packet Filter (BPF) has been enhanced in recent kernels to do much more than just filtering packets. It can now run user-defined programs on events, such as on tracepoints, kprobes, uprobes, and perf_events, allowing advanced performance analysis tools to be created. These can be used in production as the BPF virtual machine is sandboxed and will reject unsafe code, and are already in use at Netflix.
Beginning with the bpf() syscall in 3.18, enhancements have been added in many kernel versions since, with major features for BPF analysis landing in Linux 4.1, 4.4, 4.7, and 4.9. Specific capabilities these provide include custom in-kernel summaries of metrics, custom latency measurements, and frequency counting kernel and user stack traces on events. One interesting case involves saving stack traces on wake up events, and associating them with the blocked stack trace: so that we can see the blocking stack trace and the waker together, merged in kernel by a BPF program (that particular example is in the kernel as samples/bpf/offwaketime).
This talk will discuss the new BPF capabilities for performance analysis and debugging, and demonstrate the new open source tools that have been developed to use it, many of which are in the Linux Foundation iovisor bcc (BPF Compiler Collection) project. These include tools to analyze the CPU scheduler, TCP performance, file system performance, block I/O, and more."
Similar to [ODI] chapter2 what is "undo record chaining"? (20)
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
9. Oracle Deep Internal
More information https://youtu.be/c7EmzCd7buk
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