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  • Developing Schema Compare for Oracle (Part 6): 9i Query Performance

    - by Simon Cooper
    All throughout the EAP and beta versions of Schema Compare for Oracle, our main request was support for Oracle 9i. After releasing version 1.0 with support for 10g and 11g, our next step was then to get version 1.1 of SCfO out with support for 9i. However, there were some significant problems that we had to overcome first. This post will concentrate on query execution time. When we first tested SCfO on a 9i server, after accounting for various changes to the data dictionary, we found that database registration was taking a long time. And I mean a looooooong time. The same database that on 10g or 11g would take a couple of minutes to register would be taking upwards of 30 mins on 9i. Obviously, this is not ideal, so a poke around the query execution plans was required. As an example, let's take the table population query - the one that reads ALL_TABLES and joins it with a few other dictionary views to get us back our list of tables. On 10g, this query takes 5.6 seconds. On 9i, it takes 89.47 seconds. The difference in execution plan is even more dramatic - here's the (edited) execution plan on 10g: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 108K| 939 || 1 | SORT ORDER BY | | 108K| 939 || 2 | NESTED LOOPS OUTER | | 108K| 938 ||* 3 | HASH JOIN RIGHT OUTER | | 103K| 762 || 4 | VIEW | ALL_EXTERNAL_LOCATIONS | 2058 | 3 ||* 20 | HASH JOIN RIGHT OUTER | | 73472 | 759 || 21 | VIEW | ALL_EXTERNAL_TABLES | 2097 | 3 ||* 34 | HASH JOIN RIGHT OUTER | | 39920 | 755 || 35 | VIEW | ALL_MVIEWS | 51 | 7 || 58 | NESTED LOOPS OUTER | | 39104 | 748 || 59 | VIEW | ALL_TABLES | 6704 | 668 || 89 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2025 | 5 || 106 | VIEW | ALL_PART_TABLES | 277 | 11 |------------------------------------------------------------------------------- And the same query on 9i: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 16P| 55G|| 1 | SORT ORDER BY | | 16P| 55G|| 2 | NESTED LOOPS OUTER | | 16P| 862M|| 3 | NESTED LOOPS OUTER | | 5251G| 992K|| 4 | NESTED LOOPS OUTER | | 4243M| 2578 || 5 | NESTED LOOPS OUTER | | 2669K| 1440 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 ||* 50 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2043 | ||* 66 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_TABLES | 1777K| ||* 80 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_LOCATIONS | 1744K| ||* 96 | VIEW | ALL_PART_TABLES | 852K| |------------------------------------------------------------------------------- Have a look at the cost column. 10g's overall query cost is 939, and 9i is 55,000,000,000 (or more precisely, 55,496,472,769). It's also having to process far more data. What on earth could be causing this huge difference in query cost? After trawling through the '10g New Features' documentation, we found item 1.9.2.21. Before 10g, Oracle advised that you do not collect statistics on data dictionary objects. From 10g, it advised that you do collect statistics on the data dictionary; for our queries, Oracle therefore knows what sort of data is in the dictionary tables, and so can generate an efficient execution plan. On 9i, no statistics are present on the system tables, so Oracle has to use the Rule Based Optimizer, which turns most LEFT JOINs into nested loops. If we force 9i to use hash joins, like 10g, we get a much better plan: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 7587K| 3704 || 1 | SORT ORDER BY | | 7587K| 3704 ||* 2 | HASH JOIN OUTER | | 7587K| 822 ||* 3 | HASH JOIN OUTER | | 5262K| 616 ||* 4 | HASH JOIN OUTER | | 2980K| 465 ||* 5 | HASH JOIN OUTER | | 710K| 432 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 || 50 | VIEW | ALL_PART_TABLES | 852K| 104 || 78 | VIEW | ALL_TAB_COMMENTS | 2043 | 14 || 93 | VIEW | ALL_EXTERNAL_LOCATIONS | 1744K| 31 || 106 | VIEW | ALL_EXTERNAL_TABLES | 1777K| 28 |------------------------------------------------------------------------------- That's much more like it. This drops the execution time down to 24 seconds. Not as good as 10g, but still an improvement. There are still several problems with this, however. 10g introduced a new join method - a right outer hash join (used in the first execution plan). The 9i query optimizer doesn't have this option available, so forcing a hash join means it has to hash the ALL_TABLES table, and furthermore re-hash it for every hash join in the execution plan; this could be thousands and thousands of rows. And although forcing hash joins somewhat alleviates this problem on our test systems, there's no guarantee that this will improve the execution time on customers' systems; it may even increase the time it takes (say, if all their tables are partitioned, or they've got a lot of materialized views). Ideally, we would want a solution that provides a speedup whatever the input. To try and get some ideas, we asked some oracle performance specialists to see if they had any ideas or tips. Their recommendation was to add a hidden hook into the product that allowed users to specify their own query hints, or even rewrite the queries entirely. However, we would prefer not to take that approach; as well as a lot of new infrastructure & a rewrite of the population code, it would have meant that any users of 9i would have to spend some time optimizing it to get it working on their system before they could use the product. Another approach was needed. All our population queries have a very specific pattern - a base table provides most of the information we need (ALL_TABLES for tables, or ALL_TAB_COLS for columns) and we do a left join to extra subsidiary tables that fill in gaps (for instance, ALL_PART_TABLES for partition information). All the left joins use the same set of columns to join on (typically the object owner & name), so we could re-use the hash information for each join, rather than re-hashing the same columns for every join. To allow us to do this, along with various other performance improvements that could be done for the specific query pattern we were using, we read all the tables individually and do a hash join on the client. Fortunately, this 'pure' algorithmic problem is the kind that can be very well optimized for expected real-world situations; as well as storing row data we're not using in the hash key on disk, we use very specific memory-efficient data structures to store all the information we need. This allows us to achieve a database population time that is as fast as on 10g, and even (in some situations) slightly faster, and a memory overhead of roughly 150 bytes per row of data in the result set (for schemas with 10,000 tables in that means an extra 1.4MB memory being used during population). Next: fun with the 9i dictionary views.

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  • How do I maintain a really poorly written code base?

    - by onlineapplab.com
    Recently I got hired to work on existing web application because of NDA I'm not at liberty to disclose any details but this application is working online in sort of a beta testing stage before official launch. We have a few hundred users right now but this number is supposed to significantly increase after official launch. The application is written in PHP (but it is irrelevant to my question) and is running on a dual xeon processor standalone server with severe performance problems. I have seen a lot of bad PHP code but this really sets new standards, especially knowing how much time and money was invested in developing it. it is as badly coded as possible there is PHP, HTML, SQL mixed together and code is repeated whenever it is necessary (especially SQL queries). there are not any functions used, not mentioning any OOP there are four versions of the app (desktop, iPhone, Android + other mobile) each version has pretty much the same functionality but was created by copying the whole code base, so now there are some differences between each version and it is really hard to maintain the database is really badly designed, which is causing severe performance problems also for fixing some errors in PHP code there is a lot of database triggers used which are updating data on SELECT and on INSERT so any testing is a nightmare Basically, any sin of a bad programming you can imagine is there for example it is not only possible to use SQL injections in literally every place but you can log into app if you use a login which doesn't exist and an empty password. The team which created this app is not working on it any more and there is an outsourced team which suggested that there are some problems but was never willing to deal with the elephant in the room partially because they've got a very comfortable contract and partially due to lack of skills (just my opinion). My job was supposed to be fixing some performance problems and extending existing functionality but first thing I was asked to do was a review of the existing code base. I've made my review and it was quite a shock for the management but my conclusions were after some time finally confirmed by other programmers. Management made it clear that it is not possible to start rewriting this app from scratch (which in my opinion should be done). We have to maintain its operable state and at the same time fix performance errors and extend the functionality. My question is, as I don't want just to patch the existing code, how to transform this into properly written app while keeping the existing code working at the same time? My plan is: Unify four existing versions into common code base (fixing only most obvious errors). Redesign db and use triggers to populate it with data (so data will be maintained in two formats at the same time) All new functionality will be written as separate project. Step by step transfer existing functionality into the new project After some time everything will be in the new project Some explanation about #2, right now it is practically impossible to make any updates in existing db any change requires reviewing whole code and making changes in many places. Is such plan feasible at all? Another solution is to walk away and leave the headache to someone else.

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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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  • excel 2010 search function?

    - by Tom
    can a cell A1:A200 be searched for a "name" then once found, imput the cell location into a formula? such as find "tom"(a1:a200), [found location at cell a22] IF(a22),=IF(MINUTE(Auto_Agent!G27)+(SECOND(Auto_Agent!G27))=0,"",(MINUTE(Auto_Agent!G27)*60+(SECOND(Auto_Agent!G27)))) the problem I'm having is each time I import data names can be in different cell locations depending on who is working that day. example: Agent: Tom 07:59:49 02:31:04 00:00:00 00:42:44 01:33:02 00:00:43 00:02:00 03:09:05 Avg Skillset Talk Time: 00:06:52 07:59:49 02:31:04 00:00:00 00:42:44 01:33:02 00:00:43 00:02:00 03:09:05 () 9/19/2012 Avg Skillset Talk Time: 00:06:52 07:59:49 02:31:04 00:00:00 00:42:44 01:33:02 00:00:43 00:02:00 03:09:05 Agent: Bill 07:59:49 02:31:04 00:00:00 00:42:44 01:33:02 00:00:43 00:02:00 03:09:05 Avg Skillset Talk Time: 00:06:52 07:59:49 02:31:04 00:00:00 00:42:44 01:33:02 00:00:43 00:02:00 03:09:05 () 9/19/2012 Avg Skillset Talk Time: 00:06:52 07:59:49 02:31:04 00:00:00 00:42:44 01:33:02 00:00:43 00:02:00 03:09:05

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  • How can I improve my Animation

    - by sharethis
    The first approaches in animation for my game relied mostly on sine and cosine functions with the time as parameter. Here is an example of a very basic jump I implemented. if(jumping) { height = sin(time); if(height < 0) jumping = false; // player landed player.position.z = height; } if(keydown(SPACE) && !jumping) { jumping = true; time = now(); // store the starting time } So my player jumped in a perfect sine function. That seems quite natural, because he slows down when he reached the top position, and in the fall he speeds up again. But patching every animation out of sine and cosine is stretched to its limits soon. So can I improve my animation and provide a more abstract layer?

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  • Microsoft Azure Storage Queues Part 1: Getting Started

    Microsoft Azure Queues are a ready-to-use service that loosely connects components or applications through the cloud. This article is the first part in a five-part series about Microsoft Azure Cloud Services by Roman Schacherl. "A real time saver" Andy Doyle, Head of IT ServicesAndy and his team saved time by automating backup and restores with SQL Backup Pro. Find out how much time you could save. Download a free trial now.

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  • Frame Independent Movement

    - by ShrimpCrackers
    I've read two other threads here on movement: Time based movement Vs Frame rate based movement?, and Fixed time step vs Variable time step but I think I'm lacking a basic understanding of frame independent movement because I don't understand what either of those threads are talking about. I'm following along with lazyfoo's SDL tutorials and came upon the frame independent lesson. http://lazyfoo.net/SDL_tutorials/lesson32/index.php I'm not sure what the movement part of the code is trying to say but I think it's this (please correct me if I'm wrong): In order to have frame independent movement, we need to find out how far an object (ex. sprite) moves within a certain time frame, for example 1 second. If the dot moves at 200 pixels per second, then I need to calculate how much it moves within that second by multiplying 200 pps by 1/1000 of a second. Is that right? The lesson says: "velocity in pixels per second * time since last frame in seconds. So if the program runs at 200 frames per second: 200 pps * 1/200 seconds = 1 pixel" But...I thought we were multiplying 200 pps by 1/1000th of a second. What is this business with frames per second? I'd appreciate if someone could give me a little bit more detailed explanation as to how frame independent movement works. Thank you.

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  • When to update jQuery?

    - by epaulk
    When you recommend updating jQuery/jQuery UI? Or in other words: what are the best practices for updating jQuery/jQuery UI? I’m working on a long project that will take at least one more year. In that time span, I’m sure that jQuery/jQuery UI will be updated many times. Do you recommend update my jQuery/jQuery UI files every time an update is released? Or is better to stick with a particular version until the end of the project? I’m afraid of “breaking” code changes, and every time an update is released, I have to test everything. That takes too much time. But on the other hand, if I didn’t update, I’m afraid of bugs that later will bite me in the rear. The project is an ASP.MVC and I use jQuery a lot. Any thoughts?

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  • touch in guiTexture

    - by Mitananda
    Before time in my game start. i want there will show a guiTexture.. if i touch this guiTexture, that will hidden and the time game will start. I try to make a script but it doesn't work. I'm a bit confused by the Unity documentation. please help me i'm newbie in Unity. my code : void Start () { if (myGuiTexture.HitTest(Input.GetTouch(0).position)) { if (Input.GetTouch(0).phase == TouchPhase.Began) { Time.timeScale = 1; myGuiTexture.enable = false; } } } and i also create this source but its doesn't work too. void Start () { if (tutorial.HitTest(new Vector3(0,0,0))){ Time.timeScale = 1; } }

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  • RAID1: can't replace faulty spare (marked again as 'faulty spare' within seconds)

    - by user212475
    I got a problem that I cannot solve: Our fileserver runs XUbuntu and 3 RAID1s. One has a problem since monday: it consists of sdb and sdc. sdb was marked as faulty by mdadm for unknown reasons. I used --remove to remove it from the RAID and then to add it by --add. All was fine, re-syncing started but never got above 0% and after a few seconds, sdb was again marked as 'faulty spare' (and therefore the RAID degraded, but clean). So I saved the first 512 byte of the old sdb to a file, bought a new HDD of same size (4TB), shut down the computer and replaced sdb physically, switched the computer back on and wrote the 512 byte back to the new drive to have the same partition info as the old drive (both are the same type, from same company). But the new drive shows the same behaviour as the old: I can add, re-syncing starts and after a few seconds its marked as 'faulty spare'. Here exactly what i did: mdadm --remove /dev/md/1 /dev/sdb maadm --detail /dev/md/1 gives me: /dev/md/1: Version : 1.2 Creation Time : Sat Jun 8 22:32:05 2013 Raid Level : raid1 Array Size : 3906887360 (3725.90 GiB 4000.65 GB) Used Dev Size : 3906887360 (3725.90 GiB 4000.65 GB) Raid Devices : 2 Total Devices : 1 Persistence : Superblock is persistent Update Time : Thu Nov 7 06:56:13 2013 State : clean, degraded Active Devices : 1 Working Devices : 1 Failed Devices : 0 Spare Devices : 0 Name : File-Server:1 (local to host File-Server) UUID : 44ed561f:b733e946:e69820f4:aba9b223 Events : 2424 Number Major Minor RaidDevice State 0 0 0 0 removed 1 8 32 1 active sync /dev/sdc mdadm --add /dev/md/1 /dev/sdb mdadm --detail /dev/md/1 gives me: Version : 1.2 Creation Time : Sat Jun 8 22:32:05 2013 Raid Level : raid1 Array Size : 3906887360 (3725.90 GiB 4000.65 GB) Used Dev Size : 3906887360 (3725.90 GiB 4000.65 GB) Raid Devices : 2 Total Devices : 2 Persistence : Superblock is persistent Update Time : Thu Nov 7 06:57:49 2013 State : clean, degraded, recovering Active Devices : 1 Working Devices : 1 Failed Devices : 1 Spare Devices : 0 Rebuild Status : 0% complete Name : File-Server:1 (local to host File-Server) UUID : 44ed561f:b733e946:e69820f4:aba9b223 Events : 2431 Number Major Minor RaidDevice State 2 8 16 0 faulty spare rebuilding /dev/sdb 1 8 32 1 active sync /dev/sdc and after a few seconds: /dev/md/1: Version : 1.2 Creation Time : Sat Jun 8 22:32:05 2013 Raid Level : raid1 Array Size : 3906887360 (3725.90 GiB 4000.65 GB) Used Dev Size : 3906887360 (3725.90 GiB 4000.65 GB) Raid Devices : 2 Total Devices : 2 Persistence : Superblock is persistent Update Time : Thu Nov 7 06:57:50 2013 State : clean, degraded Active Devices : 1 Working Devices : 1 Failed Devices : 1 Spare Devices : 0 Name : File-Server:1 (local to host File-Server) UUID : 44ed561f:b733e946:e69820f4:aba9b223 Events : 2436 Number Major Minor RaidDevice State 0 0 0 0 removed 1 8 32 1 active sync /dev/sdc 2 8 16 - faulty spare /dev/sdb same behaviour if I zero the superblock (mdadm --zero-superblock /dev/sdb) before adding sdb. I do all commands as root and the system holds 3 more 4TB drives, ie the mainboard can handle them. The old harddrive was checked for errors using badblocks, but all is fine. Does anybody have any idea, what the problem is?

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  • A conversation with world experts in Customer Experience Management in Rome, Italy - Wed, June 20, 2012

    - by nicolasbonnet
    It is my pleasure to share the registration link below for your chance to meet active members of the Oracle Real-Time Decisions Customer Advisory Board. Join us to hear how leading brands across the world have achieved tremendous return on investment through their Oracle Real-Time Decisions deployments and do not miss this unique opportunity to ask them specific questions directly during our customer roundtable. Please share this information with anyone interested in real-time decision management and cross-channel predictive process optimization http://www.oracle.com/goto/RealTimeDecisions Nicolas Bonnet / Senior Director Product Management / Oracle Business Intelligence

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  • How to connect to the internet reliably

    - by user12689
    I have a DSL internet connection. For a long time the internet functioned fine in Ubuntu using the default Network Manager. Recently however, my ISP was bought by another ISP, and the service name had to be changed in the DSL settings. In Windows, it connects without any issue whatsoever. But in Ubuntu, the first time I connect I get a "Apache: Not Found" page, the next time, I get to the previous ISP's login page, it continues like this for some time until I get it working. I have to try connecting it again and again. When I asked the customer service, they said that because of the takeover, they have switched servers. But they said, it should work properly in Windows, and they were clueless about Ubuntu. Is there anything I can do to solve this issue?

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  • Automatically keep your local git repos clean

    - by kerry
    Most developers using git are probably aware of a command ‘git gc’ that has to be run from time to time when you notice your git commands are running a little slow. This command cleans up your git repo and makes sure everything is nice and tidy. If you have not run this command lately, you will notice a huge performance increase in your git commands after running. It’s a bit annoying to have to run this command when you notice that your git performance is suffering. The command also takes a while if you have not run it recently. With this in mind, I decided to create a method to automatically run this command from time to time. So I decided to overload cd similar to how rvm does. All you have to do is paste the method in your .profile file and it will run the command every time you enter a directory with a git repo. You’ll notice a little pause when entering the directory, it’s not insufferable but if you would prefer, you can add an & to the end of the command to have it run in the background. I chose the pause over the pid output of the background command. Here it is in all it’s glory. View the code on Gist.

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  • Twitter Customer Sentiment Analysis

    - by Liam McLennan
    The breakable toy that I am currently working on is a twitter customer sentiment analyser. It scrapes twitter for tweets relating to a particular organisation, applies a machine learning algorithm to determine if the content of tweet is positive or negative, and generates reports of the sentiment data over time, correlated to dates, events and news feeds. I’m having lots of fun building this, but I would also like to learn if there is a market for quantified sentiment data. So that I can start to show people what I have in mind I have created a mockup of the simplest and most important report. It shows customer sentiment over time, with important events highlighted. As the user moves their mouse to the right (forward in time) the source data area scrolls up to display the tweets from that time. The tweets are colour coded based on sentiment rating. After I started working on this project I discovered that a team of students have already built something similar. It is a lot of fun to enter your employers name and see what it says.

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  • Equation / formula to determine an objects position on an ellipitcal path

    - by David Murphy
    I'm making a space game, as such I need objects to follow an elliptical path (orbit). I've worked out how to calculate all the important aspects of my orbits, the only remaining thing is how to have an object follow it. My Orbit class contains the major, minor (and by extension semi-major,semi-minor) lengths. The focii radius, area and circumference even. What is the equation to determine an objects x/y position (only need 2D) on an ellipse with a certain speed after a period of time. Basically, every frame I want to update the position based on the amount of elapsed time. I would like to have the speed along the path speed up and slow down according to the distance from the object it's orbiting, but not sure how to factor this in to the above given that at any point in time the speed has changed from it's previous speed. EDIT I can't answer my own question. But I found the question and answer is already on stackexchange: Kepler orbit : get position on the orbit over time

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  • Employers and intellectual property 2

    - by Rick
    I have a question about intellectual property, I am currently a manager in a small manufacturing firm. The owners are driven by greed and don't appreciate the development process of complex machinery and are happy just to send things out half done. I on the other hand think that it should be done properly as breakdown in the field can be costly, embarrassing. They seem to have all of us running around doing most of the work out of hours using the attitude of "Be grateful to have a job" yet no one has a contract or any security or any agreement in place. For a couple of the projects i am using PLC's and doing the code in my own time and the testing during company time, and i am aware that they cannot support their own machines if i left, but as i created the code in my own time who owns it? The have asked my to put in a shutdown code for a maintenance request after a given length of time, could this be classed as criminal damage or anything illegal apart from immoral? (we sell the machines with 12 month warrantee, shut down after) But as time goes on I'm getting rather fed up of the companies attitude toward the client. I am considering keeping the clients as my own and get them to contact me directly In the shutdown code. By doing something like this is a trial version contact me for a full license? I wouldn't feel bad for my current employer as he is not afraid to S***t on people as he has been evolved in numerous law suits and has over 30 failed companies leaving people and customers high and dry, we have took the company this far on the reputation of the workers and and i can see things heading like all the other companies he has owned and taking our reputations with him. So i suppose now i have set the scene, if i code into it to contact me directly in the shutdown could there be any legal impact on me, as i rightly or wrongly think i own the code and designs? Cheers R

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  • How important is index size when searching?

    - by Michael K
    My company has recently began using Apache Solr to search its data. As we learn how to use it we have gone down the path of indexing multiple fields to get the results we need. Most of these are either N-Grammed or Edge-N-Grammed. Gramming by nature takes up a lot of space, which takes more time to search. Space is cheap, but time is less so. Index time is not too important, since a delta-import (only get the changes since last index) is extremely quick and you only pay a penalty on the first import. What we've not been able to determine is what effect the index size has on query times. Obviously a larger index takes longer to search, but the time added by n-gramming a field is difficult to predict. How do you determine whether a field is worth gramming? Can you predict how much longer a query will take when you gram a field?

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  • Problem typing password when running sudo in terminal

    - by ohm-p
    I have a different problem.When first time I used ubuntu old to new in every version I can easily type password in terminal after sudo command.But now a day I can't because In terminal after sudo command in password i can't able to type any thing like char or number ,but just in password other part in terminal I can type. Now,probelm is there that it don't show password means not that in terminal password is in hide mode.Every time I type in after that it show me" sorry,try again" error message after three time wrong password means empty password it's again come into first position. For solve this problem I used old to new version of ubuntu also format it many time but same problem occured. Please help me because without terminal password I can't install anything.

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  • Wireless connection works but the internet is too slow to use in Ubuntu 11.04

    - by Garrin
    The internet is so slow as to be unusable. And I'm not being picky. Even after minutes I can't get my Google home page to load. I tried installing a package through apt-get and was getting rates between 0 and a few hundred bytes/s. That's bytes, not kilobytes! Mostly 0 however (no exaggeration, it spends large amounts of time stalled). And I would go to a speed test web site of some kind but I can't since nothing will load. Briefly put, the laptop I am using was connected to two wireless networks while using Ubuntu 11.04 without any issues before this. It was also connected to a wired network without any issues. It dual boats Windows 7 which has never had any issues, not even with the current wireless network. Just to be clear, on the current wi-fi network, Windows 7 encounters no issues (speedtest.net puts the network speed at 1mb/s) but my network connection in Ubuntu 11.04 is so slow as to literally be unusable. I am unfamiliar with the router except for the fact that it boasts a Rogers logo (that's a large ISP/cable provider in Canada for those not familiar with the land of igloos and polar bears). I am far from the router and some desktop widget I use tells me the signal strength is at 58% (it seems fairly reliable and this would appear to match up with the filled bars in the network icon). I should also mention I'm just renting a room in this house so I'm not the network administrator and while I can access the 192.168.0.1 router page, the password wasn't set to 'password' so it's not much use to me. Here are a bunch of commands I ran which don't tell me a whole lot but I thought might be more instructive to the wise around here: lspci (just showing my network card): 05:00.0 Network controller: Atheros Communications Inc. AR928X Wireless Network Adapter (PCI-Express) (rev 01) This one is self explanatory. PING www.googele.com (216.65.41.185) 56(84) bytes of data. 64 bytes from nnw.net (216.65.41.185): icmp_req=1 ttl=51 time=267 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=2 ttl=51 time=190 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=3 ttl=51 time=212 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=4 ttl=51 time=207 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=5 ttl=51 time=220 ms --- www.googele.com ping statistics --- 5 packets transmitted, 5 received, 0% packet loss, time 4003ms rtt min/avg/max/mdev = 190.079/219.699/267.963/26.121 ms ifconfig eth0 Link encap:Ethernet HWaddr 20:6a:8a:02:20:da UP BROADCAST MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:0 (0.0 B) TX bytes:0 (0.0 B) Interrupt:42 lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:16436 Metric:1 RX packets:16 errors:0 dropped:0 overruns:0 frame:0 TX packets:16 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:960 (960.0 B) TX bytes:960 (960.0 B) wlan0 Link encap:Ethernet HWaddr 20:7c:8f:05:c6:bf inet addr:192.168.0.16 Bcast:192.168.0.255 Mask:255.255.255.0 inet6 addr: fe80::227c:8fff:fe05:c6bf/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:982 errors:0 dropped:0 overruns:0 frame:0 TX packets:658 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:497250 (497.2 KB) TX bytes:95076 (95.0 KB) Thank you

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  • S&OP best practices that can help your organization be more responsive and effective

    - by user717691
    If you want to increase revenue by quickly responding to market changes or want to ensure that your operating plans drive towards corporate financial goals, you need real-time sales and operations planning.Watch the replay of our recent Webcast to hear Christopher Neff from NCR Corporation discuss how NCR Corporation is leveraging Oracle's Real-Time Sales and Operations Planning solutions. Learn best practices that can help your organization be more responsive and effective. Discover how Oracle's comprehensive suite of best-in-class capabilities can: Synchronize plans and actions across the extended enterprise Maximize profits with the ability to sense, influence, and fulfill demand with industry leading demand management and real-time sales & operations Drive tactical decisions into operational planning and execution, while monitoring performance Profitably balance supply, demand, and budgets Move planning processes from periodic and reactive to real-time, iterative and proactive Register now for the on demand Webcast! http://www.oracle.com/webapps/dialogue/ns/dlgwelcome.jsp?p_ext=Y&p_dlg_id=8664804&src=6811174&Act=99NCR Corporation is a leader in Self Service Solution such as POS Solutions, Payment and Imaging Systems.

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  • Refactoring While Programming

    - by Kirby
    When posed with a problem, particularly when it is complicated in nature, I try to take some time to think about the approach I am going to take to solve the problem. Despite this, what often happens is, as I am programming the solution, I start to think of details of the problem that I missed, and I adjust the code accordingly. What results is a mess of code that needs to be refactored. I want to "refactor as I go," but while it sounds easy enough to do, I have a really hard time doing it. When the detail that I missed is small, it is tempting to make a small update to my design, rather than erase what I've already written and write it the way it is supposed to be. It sounds like a question with an obvious answer, but are there any techniques to use to better "refactor as you go"? I know that this is a good principle, but I fail with it time and time again.

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  • A correct way for JAVA age calculation? [closed]

    - by Jhonnytunes
    I have already a Java calculation of age method. I have a Person Class where I have the method and I need to ask the current time each time the method is called. All I could do is make age a static field of person class, so all person classes use the same time now. Im worring about the Calendar.get() creating Calendar objects every time method is called. Am I doing it wrong? Can I make it better? public short getAge(){ now = Calendar.getInstance(); return (short) ( (now.getTimeInMillis() - birthDate.getTimeInMillis())/ 31536000000L); }

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  • Does it really takes 5-10 years (or more) to be really good in programming?

    - by Ygam
    I don't get it. Why is there such a notion that it takes this long to be really proficient in a single language? I somehow think that this statement meant that it takes such a long time to master your language, and use it in a lot of context (web programming, desktop applications, mobile applications, etc.). Adding to that, sometimes you get stuck on a single language in your job and doing repetitive things and don't have much time to study other languages, thus for a certain amount of time, you don't really do much learning at all, and that adds to the amount of time. What do you think?

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