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• WebLogic 12c training in Dutch–May 10th & 11th 2012 Utrecht Netherlands

  - by JuergenKress

  Axis into ICT offers you the opportunity to increase your skills. We are organizing ‘Bring Your Own Laptop Knowledge Sessions‘. In a small group of up to 8 people we are going discuss all the practical aspects of WebLogic Server you ever wanted to know. This is not a standard course, but a training where applying the material in practice is of importance. All participants will receive their own virtual machine, which offers you to ability to continue afterwards with your own practice environment. By keeping the groups small we create an informal atmosphere with plenty of room for all your questions or to even discuss your specific situation. The approach is highly interactive; after all you are attending to increase your knowledge. Topics that will be covered Introduction JVM Tuning Deployment Diagnostic Framework Class Loading Security Configure Resources Clustering Scripting Register for this session You are interested in the ‘Bring Your Own Laptop Knowledge Sessions: WebLogic 12c’? Register for one of two possibilities by using the form below. After registration you will receive a confirmation by e-mail. Training will be in Dutch! Date: May 10 & 11 2012 from 09:30 – 17:00 hrs Location: Axis into ICT Headquarters (Utrecht) Expenses: € 700,- per person (VAT excluded) For registration and details please visit our website. Want to promote your event? Let us know Twitter @wlscommunity! WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: Axis,education,WebLogic training,WebLogic,WebLogic Community,OPN,Oracle,Jürgen Kress,WebLogic 12c

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• What are the differences between Bigloo and ECL?

  - by Pubby

  I've been looking to embed Lisp in some C++ code. Two options I'm interested in is Bigloo Scheme and ECL. Reading through the docs they seem to support a very similar feature set. Obviously Bigloo is Scheme and ECL is CLisp, but what other differences do they have? In particular I'm interested in the following criteria: Ease of embedding (for C++, not just C) Performance Style of coding Size Tail call support I'm targeting this question towards someone who has used both.

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• Customers Benefit from Application Management Pack for Oracle E-Business Suite

  Cliff interviews Mike Mast, Director of Product Strategy for Oracle's Applications Technology group, about how the Application Management Pack for E-Business Suite helps customers improve the performance and availability of their systems and reduces costs through the software lifecycle.

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• SAP veut transformer l'approche des bases de données avec SAP NetWeaver BW et une plateforme de développement pour HANA

  SAP veut transformer l'approche traditionnelle des bases de données Avec SAP NetWeaver BW et une nouvelle plateforme de développement pour HANA « Les toutes dernières innovations de SAP HANA produisent des environnements de Data Warehouse dopés, qui fournissent des données clients en temps réel. SAP HANA permet également d'animer un réseau en ligne et offre une plateforme ouverte aux développeurs », ces avec ces mots que SAP vient d'annoncer que le composant SAP NetWeaver Business Warehouse (SAP NetWeaver BW) allait être animé par la plateforme SAP HANA. HANA (pour High-Performance Analytic Appliance), doit permettre d'améliorer considérablement les performances des requêt...

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• Speaking About SQL Server

  - by AllenMWhite

  There's a lot of excitement in the SQL Server world right now, with the RTM (Release to Manufacturing) release of SQL Server 2012 , and the availability of SQL Server Data Tools (SSDT) . My personal speaking schedule has exploded as well. Just this past Saturday I presented a session called Gather SQL Server Performance Data with PowerShell . There are a lot of events coming up, and I hope to see you at one or more of them. Here's a list of what's scheduled so far: First, I'll be presenting a session...(read more)

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• Gain Visibility

  This Industry AppsCast will discuss the importance of visibility across all projects enterprise wide and how Oracle's Primavera PPM solutions provides transparency into project status performance across all projects in your portfolio.

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• Organization &amp; Architecture UNISA Studies &ndash; Chap 4

  - by MarkPearl

  Learning Outcomes Explain the characteristics of memory systems Describe the memory hierarchy Discuss cache memory principles Discuss issues relevant to cache design Describe the cache organization of the Pentium Computer Memory Systems There are key characteristics of memory… Location – internal or external Capacity – expressed in terms of bytes Unit of Transfer – the number of bits read out of or written into memory at a time Access Method – sequential, direct, random or associative From a users perspective the two most important characteristics of memory are… Capacity Performance – access time, memory cycle time, transfer rate The trade off for memory happens along three axis… Faster access time, greater cost per bit Greater capacity, smaller cost per bit Greater capacity, slower access time This leads to people using a tiered approach in their use of memory   As one goes down the hierarchy, the following occurs… Decreasing cost per bit Increasing capacity Increasing access time Decreasing frequency of access of the memory by the processor The use of two levels of memory to reduce average access time works in principle, but only if conditions 1 to 4 apply. A variety of technologies exist that allow us to accomplish this. Thus it is possible to organize data across the hierarchy such that the percentage of accesses to each successively lower level is substantially less than that of the level above. A portion of main memory can be used as a buffer to hold data temporarily that is to be read out to disk. This is sometimes referred to as a disk cache and improves performance in two ways… Disk writes are clustered. Instead of many small transfers of data, we have a few large transfers of data. This improves disk performance and minimizes processor involvement. Some data designed for write-out may be referenced by a program before the next dump to disk. In that case the data is retrieved rapidly from the software cache rather than slowly from disk. Cache Memory Principles Cache memory is substantially faster than main memory. A caching system works as follows.. When a processor attempts to read a word of memory, a check is made to see if this in in cache memory… If it is, the data is supplied, If it is not in the cache, a block of main memory, consisting of a fixed number of words is loaded to the cache. Because of the phenomenon of locality of references, when a block of data is fetched into the cache, it is likely that there will be future references to that same memory location or to other words in the block. Elements of Cache Design While there are a large number of cache implementations, there are a few basic design elements that serve to classify and differentiate cache architectures… Cache Addresses Cache Size Mapping Function Replacement Algorithm Write Policy Line Size Number of Caches Cache Addresses Almost all non-embedded processors support virtual memory. Virtual memory in essence allows a program to address memory from a logical point of view without needing to worry about the amount of physical memory available. When virtual addresses are used the designer may choose to place the cache between the MMU (memory management unit) and the processor or between the MMU and main memory. The disadvantage of virtual memory is that most virtual memory systems supply each application with the same virtual memory address space (each application sees virtual memory starting at memory address 0), which means the cache memory must be completely flushed with each application context switch or extra bits must be added to each line of the cache to identify which virtual address space the address refers to. Cache Size We would like the size of the cache to be small enough so that the overall average cost per bit is close to that of main memory alone and large enough so that the overall average access time is close to that of the cache alone. Also, larger caches are slightly slower than smaller ones. Mapping Function Because there are fewer cache lines than main memory blocks, an algorithm is needed for mapping main memory blocks into cache lines. The choice of mapping function dictates how the cache is organized. Three techniques can be used… Direct – simplest technique, maps each block of main memory into only one possible cache line Associative – Each main memory block to be loaded into any line of the cache Set Associative – exhibits the strengths of both the direct and associative approaches while reducing their disadvantages For detailed explanations of each approach – read the text book (page 148 – 154) Replacement Algorithm For associative and set associating mapping a replacement algorithm is needed to determine which of the existing blocks in the cache must be replaced by a new block. There are four common approaches… LRU (Least recently used) FIFO (First in first out) LFU (Least frequently used) Random selection Write Policy When a block resident in the cache is to be replaced, there are two cases to consider If no writes to that block have happened in the cache – discard it If a write has occurred, a process needs to be initiated where the changes in the cache are propagated back to the main memory. There are several approaches to achieve this including… Write Through – all writes to the cache are done to the main memory as well at the point of the change Write Back – when a block is replaced, all dirty bits are written back to main memory The problem is complicated when we have multiple caches, there are techniques to accommodate for this but I have not summarized them. Line Size When a block of data is retrieved and placed in the cache, not only the desired word but also some number of adjacent words are retrieved. As the block size increases from very small to larger sizes, the hit ratio will at first increase because of the principle of locality, which states that the data in the vicinity of a referenced word are likely to be referenced in the near future. As the block size increases, more useful data are brought into cache. The hit ratio will begin to decrease as the block becomes even bigger and the probability of using the newly fetched information becomes less than the probability of using the newly fetched information that has to be replaced. Two specific effects come into play… Larger blocks reduce the number of blocks that fit into a cache. Because each block fetch overwrites older cache contents, a small number of blocks results in data being overwritten shortly after they are fetched. As a block becomes larger, each additional word is farther from the requested word and therefore less likely to be needed in the near future. The relationship between block size and hit ratio is complex, and no set approach is judged to be the best in all circumstances.   Pentium 4 and ARM cache organizations The processor core consists of four major components: Fetch/decode unit – fetches program instruction in order from the L2 cache, decodes these into a series of micro-operations, and stores the results in the L2 instruction cache Out-of-order execution logic – Schedules execution of the micro-operations subject to data dependencies and resource availability – thus micro-operations may be scheduled for execution in a different order than they were fetched from the instruction stream. As time permits, this unit schedules speculative execution of micro-operations that may be required in the future Execution units – These units execute micro-operations, fetching the required data from the L1 data cache and temporarily storing results in registers Memory subsystem – This unit includes the L2 and L3 caches and the system bus, which is used to access main memory when the L1 and L2 caches have a cache miss and to access the system I/O resources

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• Sybase IQ 15.4 annoncé : Sybase parie sur Hadoop et MapReduce, et défie sa maison mère ?

  Sybase IQ 15.4 annoncé pour fin novembre Sybase veut repousser les limites du Big Data avec Hadoop et MapReduce Alors que la grand messe annuelle de SAP, le SAPPHIRE NOW, battait son plein, la nouvelle filiale de l'éditeur allemand Sybase a annoncé en totale indépendance la sortie de Sybase IQ 15.4, son serveur analytique haute performance structuré en colonnes pour gérer les "big data". Alors que de son côté SAP met en avant HANA, sa nouvelle technologie de mise en cache des données (ou "In-Memory Computing") pour accélérer la vitesse de traite...

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• ISV Exastack program: IBIS, Performix, Cardtek

  - by Javier Puerta

  Impact Business Information Solutions (IBIS) accelerates insights for Health Sciences decision-makers to achieve new levels productivity using Oracle’s extreme-performance system, Oracle Exadata Database Machine. Read More. Perfomix Inc Achieves Oracle Exadata Optimized Status. Read more. Cardtek Group Company SmartSoft's payment processing solution achieves Oracle Exadata Optimized status. Read more.

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• Efficient SQL Server Indexing by Design

  Having a good set of indexes on your SQL Server database is critical to performance. Efficient indexes don't happen by accident; they are designed to be efficient. Greg Larsen discusses whether primary keys should be clustered, when to use filtered indexes and what to consider when using the Fill Factor.

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• PCLinuxOS 2010 Release Available for Download

  <b>PCLinuxOS:</b> "PCLinuxOS 2010 Edition is now available for download. Features: Kernel 2.6.32.11-bfs kernel for maximum desktop performance. Full KDE 4.4.2 Desktop. Nvidia and ATI fglrx driver support. Multimedia playback support for many popular formats."

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• Oracle OpenWorld - Events of Interest

  - by Larry Wake

  I mentioned the "Focus On Oracle Solaris" document the other day, which lists many of the Solaris-related events at Oracle OpenWorld this year; today I thought I'd highlight a few sessions you might find interesting. Monday, October 1st: 4:45 PM - Get Proactive: Best Practices for Maintaining and Upgrading Oracle Solaris (Moscone South 252) This session covers best practices for upgrading and patching and how to take advantage of unique technologies in Oracle Solaris 10 and 11. Learn how to get maximum value from My Oracle Support for both reactive and proactive requirements. Understand the benefits of secure remote access and how Oracle Support experts use collaborative shared sessions combined with Oracle Solaris technologies such as DTrace. Tuesday, October 2nd: 10:15 AM -  How to Increase Performance and Agility with an Open Data Center Fabric (Moscone South 200) If you haven't had a chance to hear about Xsigo Systems, this is a golden opportunity while you're at OpenWorld. Now part of Oracle, Xsigo's network virtualization technology is designed to increase both application performance and management efficiency, through a combination of software-defined network technology and the industry’s fastest fabric, allowing data center to converge Ethernet and Fibre Channel connectivity to a single fabric, to reduce complexity by 70 percent and CapEx by 50 percent while providing more I/O bandwidth to your applications. Wednesday, October 3rd: 10:15 AM - General Session: Oracle Solaris 11 Strategy, Engineering Insights, and Roadmap (Moscone South 103) Markus Flierl, head of Oracle Solaris Core Engineering, will outline the strategy and roadmap for Oracle Solaris,  how Oracle Solaris 11 is being deployed in cloud computing and the unique optimizations in Oracle Solaris 11 for the Oracle stack. The session also offers a sneak peek at the latest technology under development in Oracle Solaris, and what customers can expect to see in the coming updates. Plus, there are several Hands-On Labs: Monday, October 1st: 10:45 AM - 11:45 AM - Reduce Risk with Oracle Solaris Access Control to Restrain Users and Isolate Applications (Marriott Marquis - Salon 14/15) 4:45 PM - 5:45 PM - Managing Your Data with Built-In Oracle Solaris ZFS Data Services in Release 11  (Marriott Marquis - Salon 14/15) Tuesday, October 2nd: 1:15 PM - 2:15 PM - Virtualizing Your Oracle Solaris 11 Environment  (Marriott Marquis - Salon 10/11) Wednesday, October 3rd: 3:30 PM - 4:30 PM - Large-Scale Installation and Deployment of Oracle Solaris 11 (Marriott Marquis - Salon 14/15) There's plenty more--see the "Focus On Oracle Solaris" guide. See you next week in San Francisco!

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• Capitalize on Engineering and Information Assets throughout the Enterprise

  To facilitate information exchange, drive performance and improve corporate governance, organizations are investing in Oracle Universal Content Management to store, track and manage their digital information assets. Combined with Oracle's AutoVue visualization solutions and CADTop, Sword Group's CAD integration for UCM, engineering centric organizations can now access, view and collaborate on engineering and CAD documents throughout the enterprise for improved visibility and more informed decision making.

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• How Can I Effectively Interview an Oracle Candidate?

  - by Tim Medora

  First, I browsed through SO for matching questions and didn't find one, but please point me in the right direction if this exact question has already been asked. I work with and around programmers of various skill levels on various platforms. I would consider my skills to be strong in terms of relational database design, query development, and basic performance tuning and administration. I'm mid-level when it comes to database theory. My team is looking to me to ensure that we have the best talent on staff, in this case, an engineer experienced in Oracle administration. To me, a well-rounded database administrator, regardless of platform, should also be competent in developing against the database so that is also a requirement. However my database skills are centralized around SQL Server 200x with experience in a few other products like SAP MaxDB, Access, and FoxPro. How can I thoroughly assess the skills of an Oracle engineer? I can ask high-level database theory questions and talk about routine tasks that are common across platforms, but I want to dig deep enough that I can be confident in the people I hire. Normally, I would alternate very specific questions that have a right/wrong answer with architectural questions that might have several valid answers. Does anyone have an interview template, specific questions, or any other knowledge that they can share? Even knowing the meaningful Oracle-related certifications would be a help. Thank you. EDIT: All the answers have been very helpful so far and I have given upvotes to everyone. I'm surprised that there are already 3 close votes on this question as "off topic". To be clear, I am specifically asking how a MS SQL Server engineer (like myself) can effectively interview a person with different but symbiotic skills. The question has already received specific, technical answers which have improved my own database design and programming skills. If this is more appropriate as a community wiki, please convert it.

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• Move Data into the Grid for Scalable, Predictable Response Times

  - by JuergenKress

  CloudTran is pleased to introduce the availability of the CloudTran Transaction and Persistence Manager for creating scalable, reliable data services on the Oracle Coherence In-Memory Data Grid (IMDG). Use of IMDG architectures has been key to handling today’s web-scale loads because it eliminates database latency by storing important and frequently access data in memory instead of on disk. The CloudTran product lets developers easily use an IMDG for full ACID-compliant transactions without having to be concerned about the location or spread of data. The system has its own implementation of fast, scalable distributed transactions that does NOT depend on XA protocols but still guarantees all ACID properties. Plus, CloudTran asynchronously replicates data going into the IMDG to back-end datastores and back-up data centers, again ensuring ACID properties. CloudTran can be accessed through Java Persistence API (JPA via TopLink Grid) and now, through a new Low-Level API, or LLAPI. This is ideal for use in SOA applications that need data reliability, high availability, performance, and scalability. Still in limited beta release, the LLAPI gives developers the ability to use standard put/remove logic available in Coherence and then wrap logic with simple Spring annotations or XML+AspectJ to start transactions. An important feature of LLAPI is the ability to join transactions. This is a common outcome for SOA applications that need to reduce network traffic by aggregating data into single cache entries and then doing SOA service processing in the node holding the data. This results in the need to orchestrate transaction processing across multiple service calls. CloudTran has the capability to handle these “multi-client” transactions at speed with no loss in ACID properties. Developing software around an IMDG like Oracle Coherence is an important choice for today’s web-scale applications and services. But this introduces new architectural considerations to maintain scalability in light of increased network loads and data movement. Without using CloudTran, developers are faced with an incredibly difficult task to ensure data reliability, availability, performance, and scalability when working with an IMDG. Working with highly distributed data that is entirely volatile while stored in memory presents numerous edge cases where failures can result in data loss. The CloudTran product takes care of all of this, leaving developers with the confidence and peace of mind that all data is processed correctly. For those interested in evaluating the CloudTran product and IMDGs, take a look at this link for more information: http://www.CloudTran.com/downloadAPI.php, or, send your questions to [email protected]. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. BlogTwitterLinkedInMixForumWiki Technorati Tags: Coherence,cloudtran,cache,WebLogic Community,Oracle,OPN,Jürgen Kress

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• Staggering java linux process startup to prevent OOM

  - by ctennis

  I am running a number of java processes on a single Linux machine. From a memory and computing standpoint, everything is fine when things are static. However, periodically we use a configuration management package up upgrade the jar or war files, and restart the java process. The problem is, that is restarts them all relatively quickly, and so we get 10 or so java VMs restarting all at the same time (we use daemontools for the service stops/starts), which wreaks havoc on the machine, in terms of OOMs or just really slow. This is because it's spawning the JVM 10x at the same time. Other than trying to stagger the startups, is there a smarter way of handling this? Maybe a sysctl tuning performance parameters, or a JVM parameter?

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• Monitoring Oracle Database 11g R2 with Oracle Enterprise Manager

  Simplify the monitoring of queries in Oracle Database with Oracle Enterprise Manager (OEM). Learn how to analyze query related activity and reach a definitive conclusion of database performance.

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• OBIA on Teradata - Part 4

  - by Mohan Ramanuja

  Monitoring Tools Name Action Teradata Manager (PMON) Check for down resources UNIX Check the /var/adm/streams log DBC.Software_Event_Log Check for hardware errors. Tunable ParametersFollowing parameters could be tuned for better performance Maximum Response Buffer Size (MAXRESPSIZE) Session Data Unit (SDU) Transport Date Unit (TDU) Related Links http://forums.teradata.com/forum http://www.info.teradata.com/Datawarehouse/eBrowseBy.cfm?page=TeradataDatabase http://www.teradataforum.com/ncr_pdf.htm http://www.teradata.com/blogs/ http://www.teradatamagazine.com/

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• Wait, Chrome Dev Tools could do THAT?

  Wait, Chrome Dev Tools could do THAT? Your browser is one of the most and best instrumented development platforms -- you may just not realize it yet. In this episode we'll take a whirlwind tour of how to analyze network performance, rendering and layout pipeline, as well as detecting memory leaks in your Javascript code, and using audits and extensions to build faster and better apps! From: GoogleDevelopers Views: 207 16 ratings Time: 33:40 More in Science & Technology

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• Get Session ID

  - by Derek Dieter

  To get the session ID, simply use the intrinsic variable @@SPID:SELECT @@SPIDThe acronym for SPID means Server Process ID. It is synonymous with session. Related Posts:»SQL Server Kill»Using sp_who2»Blocking Processes (lead blocker)»A Better sp_who2 using DMVs (sp_who3)»Troubleshooting SQL Server Slowness»SQL Server 2008 Minimally Logged Inserts»Insert Results of Stored Procedure Into Table»SQL Server Slow Performance»View Active [...]

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• Read Oracle Certification Program's December 2012 E-Magazine now!

  - by Harold Green

  Hello Everyone, The big news in this edition of our Oracle Certification E-Magazine is related to a change in the way that exam results are provided at the end of the test (using our CertView tool). This significant process change for the Oracle program sets the stage for tighter integration of candidate information and exam/certifcation results. Additionally, it helps give every certification holder access to important tools available in CertView. The new process was implemented in November and so far it is going very well. Much of the success of this new initiative is due to you (following the new process)! We are continuing to work to expand the functionality of CertView to better help you use your certification as a tool to help improve your career. Also in this issue of the E-Magazine, we are announcing several new offerings. We have a new SQL Tuning certification as well as a new Exam Preparation Seminar. We have continued to release new Exam Preparation Seminars and Exam Preparation Seminar Value Packages and we are receiving good feedback. We hope that you will consider employing one of these seminars to help you prepare for your next certification exam. They are now even available on iPad! READ THE DECEMBER 2012 EDITION HERE Thank you and good luck! Paul Sorensen Sr. Director, Global Certification Programs

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• Introduction to Indexes

  Indexes are critical to good performance. However many people don't understand how indexes well. MVP Gail Shaw provides us with an introductory article on the basics of indexing. Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

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• information about /proc/pid/sched

  - by redeye

  Not sure this is the right place for this question, but here goes: I'm trying to make some sense of the /proc/pid/sched and /proc/pid/task/tid/sched files for a highly threaded server process, however I was not able to find a good explanation of how to interpret this file ( just a few bits here: http://knol.google.com/k/linux-performance-tuning-and-measurement# ) . I assume this entry in procfs is related to newer versions of the kernel that run with the CFS scheduler? CentOS distro running on a 2.6.24.7-149.el5rt kernel version with preempt rt patch. Any thoughts?

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• Write and fprintf for file I/O

  - by Darryl Gove

  fprintf() does buffered I/O, where as write() does unbuffered I/O. So once the write() completes, the data is in the file, whereas, for fprintf() it may take a while for the file to get updated to reflect the output. This results in a significant performance difference - the write works at disk speed. The following is a program to test this: #include <fcntl.h #include <unistd.h #include <stdio.h #include <stdlib.h #include <errno.h #include <stdio.h #include <sys/time.h #include <sys/types.h #include <sys/stat.h static double s_time; void starttime() { s_time=1.0*gethrtime(); } void endtime(long its) { double e_time=1.0*gethrtime(); printf("Time per iteration %5.2f MB/s\n", (1.0*its)/(e_time-s_time*1.0)*1000); s_time=1.0*gethrtime(); } #define SIZE 10*1024*1024 void test_write() { starttime(); int file = open("./test.dat",O_WRONLY|O_CREAT,S_IWGRP|S_IWOTH|S_IWUSR); for (int i=0; i<SIZE; i++) { write(file,"a",1); } close(file); endtime(SIZE); } void test_fprintf() { starttime(); FILE* file = fopen("./test.dat","w"); for (int i=0; i<SIZE; i++) { fprintf(file,"a"); } fclose(file); endtime(SIZE); } void test_flush() { starttime(); FILE* file = fopen("./test.dat","w"); for (int i=0; i<SIZE; i++) { fprintf(file,"a"); fflush(file); } fclose(file); endtime(SIZE); } int main() { test_write(); test_fprintf(); test_flush(); } Compiling and running I get 0.2MB/s for write() and 6MB/s for fprintf(). A large difference. There's three tests in this example, the third test uses fprintf() and fflush(). This is equivalent to write() both in performance and in functionality. Which leads to the suggestion that fprintf() (and other buffering I/O functions) are the fastest way of writing to files, and that fflush() should be used to enforce synchronisation of the file contents.

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• Does anyone do hardware benchmarks on compiling code?

  - by Colen

  I've seen a bunch of sites that benchmark new hardware on gaming performance, zipping some files, encoding a movie, or whatever. Are there any that test the impact of new hardware (like SSDs, new CPUs, RAM speeds, or whatever) on compile and link speeds, either linux or windows? It'd be really good to find out what mattered the most for compile speed and be able to focus on that, instead of just extrapolating from other benchmarks.

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