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".
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.
[ODI] chapter2 what is "undo record chaining"?EXEM
- 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.
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.
[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.
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 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.
[ODI] chapter2 what is "undo record chaining"?EXEM
- 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.
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.
[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.
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.
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.
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.
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.
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 discusses device drivers for timers, real-time clocks (RTCs), and watchdog timers in Linux. It provides code examples for initializing system timers, implementing RTC driver IOCTL commands, and registering new RTC drivers that use the RTC class structure. It also describes what a watchdog timer is and things to note when using one, such as potential file system crashes from direct CPU resets.
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.
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.
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.
The document discusses the Assembly programming language. It covers Assembly registers and instructions, the ELF file format, using objdump and readelf to disassemble and inspect Assembly programs, and examples of building Assembly programs and using inline Assembly in C code. Key topics include common Assembly registers like EAX, EBP, ESP; basic instructions like mov, add, jumps; the ELF header and section structure; and using tools like objdump to disassemble Assembly code.
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 document discusses techniques for debugging issues in the Linux kernel. It begins by explaining the differences between debugging in user space versus kernel space. Kernel problems are then categorized as kernel panics, which halt the system, or kernel oops, which are recoverable errors. The rest of the document demonstrates debugging outputs for a kernel panic and oops, including register dumps and call traces, and discusses common causes of kernel faults.
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.
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.
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.
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.
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.
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.
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 discusses device drivers for timers, real-time clocks (RTCs), and watchdog timers in Linux. It provides code examples for initializing system timers, implementing RTC driver IOCTL commands, and registering new RTC drivers that use the RTC class structure. It also describes what a watchdog timer is and things to note when using one, such as potential file system crashes from direct CPU resets.
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.
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.
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.
The document discusses the Assembly programming language. It covers Assembly registers and instructions, the ELF file format, using objdump and readelf to disassemble and inspect Assembly programs, and examples of building Assembly programs and using inline Assembly in C code. Key topics include common Assembly registers like EAX, EBP, ESP; basic instructions like mov, add, jumps; the ELF header and section structure; and using tools like objdump to disassemble Assembly code.
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 document discusses techniques for debugging issues in the Linux kernel. It begins by explaining the differences between debugging in user space versus kernel space. Kernel problems are then categorized as kernel panics, which halt the system, or kernel oops, which are recoverable errors. The rest of the document demonstrates debugging outputs for a kernel panic and oops, including register dumps and call traces, and discusses common causes of kernel faults.
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.
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.
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.
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 a presentation comparing PostgreSQL and MySQL databases. It outlines the strengths and weaknesses of each, including PostgreSQL's strong advanced features and flexible licensing but lack of integrated replication, and MySQL's replication capabilities but immature security and programming models. It also discusses common application types for each database and provides an overview of the EnterpriseDB company.
The document provides an overview of PostgreSQL performance tuning. It discusses caching, query processing internals, and optimization of storage and memory usage. Specific topics covered include the PostgreSQL configuration parameters for tuning shared buffers, work memory, and free space map settings.
The document summarizes some of the key differences between MySQL and PostgreSQL databases. It notes that PostgreSQL has more advanced features than MySQL, such as multiple table types, clustering, genetic query optimization, and procedural languages. However, it also points out that MySQL has better performance in some benchmarks. The document then discusses the licensing, noting that PostgreSQL has a liberal open source license while MySQL has more restrictive licensing. It concludes by discussing the debate around "clever" databases with stored procedures versus keeping application logic out of the database.
This presentation is for those who are familiar with databases and SQL, but want to learn how to move processing from their applications into the database to improve consistency, administration, and performance. Topics covered include advanced SQL features like referential integrity constraints, ANSI joins, views, rules, and triggers. The presentation also explains how to create server-side functions, operators, and custom data types in PostgreSQL.
This document discusses using Python to connect to and interact with a PostgreSQL database. It covers:
- Popular Python database drivers for PostgreSQL, including Psycopg which is the most full-featured.
- The basics of connecting to a database, executing queries, and fetching results using the DB-API standard. This includes passing parameters, handling different data types, and error handling.
- Additional Psycopg features like server-side cursors, transaction handling, and custom connection factories to access columns by name rather than number.
In summary, it provides an overview of using Python with PostgreSQL for both basic and advanced database operations from the Python side.
This presentation covers all aspects of PostgreSQL administration, including installation, security, file structure, configuration, reporting, backup, daily maintenance, monitoring activity, disk space computations, and disaster recovery. It shows how to control host connectivity, configure the server, find the query being run by each session, and find the disk space used by each database.
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.
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 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.
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.
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."
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.
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.
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 the introduction of ARM 64-bit architecture. It begins with an introduction of the speaker and then covers several topics on ARM64 including:
- ARM64 terminology such as AArch64 for 64-bit mode and AArch32 for 32-bit mode
- The ARM64 execution model including 64-bit general purpose registers and 128-bit floating point registers
- The ARM64 instruction set architecture including new instructions for cache control and floating point support
- Demonstrations of ARM64 assembly code for various C examples compiled to ARM64
- Trying out ARM64 emulation using QEMU to debug ARM64 code with GDB.
The document summarizes how to use the pg_filedump tool to recover data from PostgreSQL database files. It provides an example command to dump data from blocks containing integer, boolean, text and timestamp values. The output shows the recovered data includes two items - a text value and Russian text, with metadata on the block offsets, lengths and timestamps. Additional references are provided for more detailed articles on data recovery in Russian.
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
OSSNA 2017 Performance Analysis Superpowers with Linux BPFBrendan Gregg
Talk by Brendan Gregg for OSSNA 2017. "Advanced performance observability and debugging have arrived built into the Linux 4.x series, thanks to enhancements to Berkeley Packet Filter (BPF, or eBPF) and the repurposing of its sandboxed virtual machine to provide programmatic capabilities to system tracing. Netflix has been investigating its use for new observability tools, monitoring, security uses, and more. This talk will be a dive deep on these new tracing, observability, and debugging capabilities, which sooner or later will be available to everyone who uses Linux. Whether you’re doing analysis over an ssh session, or via a monitoring GUI, BPF can be used to provide an efficient, custom, and deep level of detail into system and application performance.
This talk will also demonstrate the new open source tools that have been developed, which make use of kernel- and user-level dynamic tracing (kprobes and uprobes), and kernel- and user-level static tracing (tracepoints). These tools provide new insights for file system and storage performance, CPU scheduler performance, TCP performance, and a whole lot more. This is a major turning point for Linux systems engineering, as custom advanced performance instrumentation can be used safely in production environments, powering a new generation of tools and visualizations."
Lec5 Computer Architecture by Hsien-Hsin Sean Lee Georgia Tech -- Branch Pred...Hsien-Hsin Sean Lee, Ph.D.
This document discusses branch prediction in computer architecture. It begins by explaining what information is predicted for branches - the direction and target. It then categorizes different types of branches and discusses the costs of branch misprediction. Various branch prediction techniques are presented, starting with simple 1-bit and 2-bit predictors, and progressing to more advanced correlating and global history predictors. The goal of branch prediction is to reduce penalties from mispredicted branches by speculatively executing the predicted path.
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."
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.
This document discusses debugging a Scylla database using GDB. It shows how to identify threads, view backtraces, examine memory usage, and inspect pointer values to understand memory allocation and object lifetimes. Key debugging techniques demonstrated include switching threads, querying memory statistics, analyzing log structured allocator regions, and searching for pointers in a memory range.
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.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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!
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
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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
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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
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.
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