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  • Fetching Data from Multiple Tables using Joins

    Applying normalization to relational databases tends to promote better accuracy of queries, but it also leads to queries that take a little more work to develop, as the data may be spread amongst several tables. In today's article, we'll learn how to fetch data from multiple tables by using joins.

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  • Determining distribution of NULL values

    - by AaronBertrand
    Today on the twitter hash tag #sqlhelp, @leenux_tux asked: How can I figure out the percentage of fields that don't have data ? After further clarification, it turns out he is after what proportion of columns are NULL. Some folks suggested using a data profiling task in SSIS . There may be some validity to that, but I'm still a fan of sticking to T-SQL when I can, so here is how I would approach it: Create a #temp table or @table variable to store the results. Create a cursor that loops through all...(read more)

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  • How to reinstall Ubuntu keeping my data intact?

    - by Santosh Linkha
    I want to reinstall Ubuntu keeping my data intact. I have 160 GB hardrive (sata or pata I don't know but it's slim and made in China) with a 40 GB ext3 partition, a 4GB swap memory and 3 other partition with a FAT32 file system. I have around 4GB space on my drive where Linux is installed. I'd like to keep the data intact, especially the Downloads folder, desktop, and /var/www; And I no longer have access to any other machines or external storage devices.

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  • MySQL Linked Server and SQL Server 2008 Express Performance

    - by Jeffrey
    Hi All, I am currently trying to setup a MySQL Linked Server via SQL Server 2008 Express. I have tried two methods, creating a DSN using the mySQL 5.1 ODBC driver, and using Cherry Software OLE DB Driver as well. The method that I prefer would be using the ODBC driver, but both run horrendously slow (doing one simple join takes about 5 min). Is there any way I can get better performance? We are trying to cross query between multiple mySQL databases on different servers, and this seems to be method we think would work well. Any comments, suggestions, etc... would be greatly appreciated. Regards, Jeffrey

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  • How to programmatically bind to a Core Data model?

    - by Dave Gallagher
    Hello. I have a Core Data model, and was wondering if you know how to create a binding to an Entity, programmatically? Normally you use bind:toObject:withKeyPath:options: to create a binding. But I'm having a little difficulty getting this to work with Core Data, and couldn't find anything in Apple's docs regarding doing this programmatically. The Core Data model is simple: An Entity called Book An Attribute of Book called author (NSString) I have an object called BookController. It looks like so: @interface BookController : NSObject { NSString *anAuthor; } @property (nonatomic, retain) NSString *anAuthor; // @synthesize anAuthor; inside @implementation I'd like to bind anAuthor inside BookController, to author inside a Book entity. This is how I'm attempting to wrongly do it (it partially works): // A custom class I made, providing an interface to the Core Data database CoreData *db = [[CoreData alloc] init]; // Creating a Book entity, saving it [db addMocObject:@"Book"]; [db saveMoc]; // Fetching the Book entity we just created NSArray *books = [db fetchObjectsForEntity:@"Book" withPredicate:nil withSortDescriptors:nil]; NSManagedObject *book = [books objectAtIndex:0]; // Creating the binding BookController *bookController = [[BookController alloc] init]; [bookController bind:@"anAuthor" toObject:book withKeyPath:@"author" options:nil]; // Manipulating the binding [bookController setAnAuthor:@"Bill Gates"]; Now, when updating from the perspective of bookController, things don't work quite right: // Testing the binding from the bookController's perspective [bookController setAnAuthor:@"Bill Gates"]; // Prints: "bookController's anAuthor: Bill Gates" NSLog(@"bookController's anAuthor: %@", [bookController anAuthor]); // OK! // ERROR HERE - Prints: "bookController's anAuthor: (null)" NSLog(@"Book's author: %@", [book valueForKey:@"author"]); // DOES NOT WORK! :( When updating from the perspective of the Book entity, things work fine: // ------------------------------ // Testing the binding from the Book's (Entity) perspective (this works perfect) [book setValue:@"Steve Jobs" forKey:@"author"]; // Prints: "bookController's anAuthor: Steve Jobs" NSLog(@"bookController's anAuthor: %@", [bookController anAuthor]); // OK! // Prints: "bookController's anAuthor: Steve Jobs" NSLog(@"Book's author: %@", [book valueForKey:@"author"]); // OK! It appears that the binding is partially working. I can update it on the side of the Model and it propagates up to the Controller via KVO, but if I update it on the side of the Controller, it doesn't trickle down to the Model via KVC. Any idea on what I'm doing wrong? Thanks so much for looking! :)

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  • Performance required to improve Windows Experience Index?

    - by Ian Boyd
    Is there a guide on the metrics required to obtain a certain Windows Experience Index? A Microsoft guy said in January 2009: On the matter of transparency, it is indeed our plan to disclose in great detail how the scores are calculated, what the tests attempt to measure, why, and how they map to realistic scenarios and usage patterns. Has that amount of transparency happened? Is there a technet article somewhere? If my score was limited by my Memory subscore of 5.9. A nieve person would suggest: Buy a faster RAM Which is wrong of course. From the Windows help: If your computer has a 64-bit central processing unit (CPU) and 4 gigabytes (GB) or less random access memory (RAM), then the Memory (RAM) subscore for your computer will have a maximum of 5.9. You can buy the fastest, overclocked, liquid-cooled, DDR5 RAM on the planet; you'll still have a maximum Memory subscore of 5.9. So in general the knee-jerk advice "buy better stuff" is not helpful. What i am looking for is attributes required to achieve a certain score, or move beyond a current limitation. The information i've been able to compile so far, chiefly from 3 Windows blog entries, and an article: Memory subscore Score Conditions ======= ================================ 1.0 < 256 MB 2.0 < 500 MB 2.9 <= 512 MB 3.5 < 704 MB 3.9 < 944 MB 4.5 <= 1.5 GB 5.9 < 4.0GB-64MB on a 64-bit OS Windows Vista highest score 7.9 Windows 7 highest score Graphics Subscore Score Conditions ======= ====================== 1.0 doesn't support DX9 1.9 doesn't support WDDM 4.9 does not support Pixel Shader 3.0 5.9 doesn't support DX10 or WDDM1.1 Windows Vista highest score 7.9 Windows 7 highest score Gaming graphics subscore Score Result ======= ============================= 1.0 doesn't support D3D 2.0 supports D3D9, DX9 and WDDM 5.9 doesn't support DX10 or WDDM1.1 Windows Vista highest score 6.0-6.9 good framerates (e.g. 40-50fps) at normal resoltuions (e.g. 1280x1024) 7.0-7.9 even higher framerates at even higher resolutions 7.9 Windows 7 highest score Processor subscore Score Conditions ======= ========================================================================== 5.9 Windows Vista highest score 6.0-6.9 many quad core processors will be able to score in the high 6 low 7 ranges 7.0+ many quad core processors will be able to score in the high 6 low 7 ranges 7.9 8-core systems will be able to approach 8.9 Windows 7 highest score Primary hard disk subscore (note) Score Conditions ======= ======================================== 1.9 Limit for pathological drives that stop responding when pending writes 2.0 Limit for pathological drives that stop responding when pending writes 2.9 Limit for pathological drives that stop responding when pending writes 3.0 Limit for pathological drives that stop responding when pending writes 5.9 highest you're likely to see without SSD Windows Vista highest score 7.9 Windows 7 highest score Bonus Chatter You can find your WEI detailed test results in: C:\Windows\Performance\WinSAT\DataStore e.g. 2011-11-06 01.00.19.482 Disk.Assessment (Recent).WinSAT.xml <WinSAT> <WinSPR> <DiskScore>5.9</DiskScore> </WinSPR> <Metrics> <DiskMetrics> <AvgThroughput units="MB/s" score="6.4" ioSize="65536" kind="Sequential Read">89.95188</AvgThroughput> <AvgThroughput units="MB/s" score="4.0" ioSize="16384" kind="Random Read">1.58000</AvgThroughput> <Responsiveness Reason="UnableToAssess" Kind="Cap">TRUE</Responsiveness> </DiskMetrics> </Metrics> </WinSAT> Pre-emptive snarky comment: "WEI is useless, it has no relation to reality" Fine, how do i increase my hard-drive's random I/O throughput? Update - Amount of memory limits rating Some people don't believe Microsoft's statement that having less than 4GB of RAM on a 64-bit edition of Windows doesn't limit the rating to 5.9: And from xxx.Formal.Assessment (Recent).WinSAT.xml: <WinSPR> <LimitsApplied> <MemoryScore> <LimitApplied Friendly="Physical memory available to the OS is less than 4.0GB-64MB on a 64-bit OS : limit mem score to 5.9" Relation="LT">4227858432</LimitApplied> </MemoryScore> </LimitsApplied> </WinSPR> References Windows Vista Team Blog: Windows Experience Index: An In-Depth Look Understand and improve your computer's performance in Windows Vista Engineering Windows 7 Blog: Engineering the Windows 7 “Windows Experience Index”

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  • Octave: importing a large matrix in csv format

    - by Massagran
    I'm trying to import a matrix (about 80.000 rows) from a csv file to Octave. The obvious solution seems something like: load("-ascii","relative_directory/the_file.csv") or maybe renaming the file and trying: load("-ascii", "relative_directory/the_file.txt") Yet I keep getting the error: load: failed to read matrix from file "relative_directory/the_file.csv" or .txt without anymore details. Any tips are appreciated.

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  • How many users are "many users"?

    - by kemp
    I need to find a solution for a website which is struggling under load. The site gets ~500 simultaneous connections during peak time, and counts around 42k hits per day. It's a wordpress based site bridged with a vbulletin forum with a lot of contents and a fairly complex structure which makes intensive use of the database. I already implemented code level full page caching (without this the server just crashes), and configured all other caching directives as well as combining css files and the like to limit http requests as much as possible. I need to understand if there is more that can be done via software or if the load is just too much for the server to handle and it needs to be upgraded, because the server goes down occasionally during peak times. Can't access the server now, but it's a dedicated CentOS machine (I think 4GB ram, can't say what CPU) running apache/mysql. So back to the main question: how can I know when the users are just too many?

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  • SQL Server Geography Data Type

    We are working on the migration to SQL Server 2008 and have geospatial data that we would like to move over as well. As part of our application we house information on locations across the globe. Which data type should we use?

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  • Why better isolation level means better performance in MS SQL Server

    - by Oleg Zhylin
    When measuring performance on my query I came up with a dependency between isolation level and elapsed time that was surprising to me READUNCOMMITTED - 409024 READCOMMITTED - 368021 REPEATABLEREAD - 358019 SERIALIZABLE - 348019 Left column is table hint, and the right column is elapsed time in microseconds (sys.dm_exec_query_stats.total_elapsed_time). Why better isolation level gives better performance? This is a development machine and no concurrency whatsoever happens. I would expect READUNCOMMITTED to be the fasted due to less locking overhead.

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  • This Week on the Green Data Center Management Front

    Among the big news this week in green data center management: APC will demonstrate how to provide energy while addressing energy efficiency legislation; Altruent Systems announced it has completed a new energy efficient data center for one of its key clients; and Voonami is unveiling what it claims is the greenest in Utah.

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  • Stairway to XML: Level 7 - Updating Data in an XML Instance

    You need to provide the necessary keywords and define the XQuery and value expressions in your XML DML expression in order to use the modify() method to update element and attribute values in either typed or untyped XML instances in an XML column. Robert Sheldon explains how. "It really helped us isolate where we were experiencing a bottleneck"- John Q Martin, SQL Server DBA. Get started with SQL Monitor today to solve tricky performance problems - download a free trial

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  • Set and Verify the Retention Value for Change Data Capture

    - by AllenMWhite
    Last summer I set up Change Data Capture for a client to track changes to their application database to apply those changes to their data warehouse. The client had some issues a short while back and felt they needed to increase the retention period from the default 3 days to 5 days. I ran this query to make that change: sp_cdc_change_job @job_type='cleanup', @retention=7200 The value 7200 represents the number of minutes in a period of 5 days. All was well, but they recently asked how they can verify...(read more)

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  • Does it make sense to resize an Hash Table down? And When?

    - by Nazgulled
    Hi, My Hash Table implementation has a function to resize the table when the load reaches about 70%. My Hash Table is implemented with separate chaining for collisions. Does it make sense that I should resize the hash table down at any point or should I just leave it like it is? Otherwise, if I increase the size (by almost double, actually I follow this: http://planetmath.org/encyclopedia/GoodHashTablePrimes.html) when the load is 70%, should I resize it down when the load gets 30% or below?

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  • Oracle Adattárház Referencia Architektúra, a legjobb gyakorlatból

    - by Fekete Zoltán
    Hogyan építsünk adattárházat, hogyan kapcsoljuk össze a rendszereinkkel? Mi legyen az az architektúra, mellyel a legkisebb kockázattal a legbiztosabban érünk célba? Ezekre a kérdésekre kaphatunk választ az Oracle Data Warehouse Reference Architecture leírásból. Letöltheto a következo dokumentum: Enabling Pervasive BI through a Practical Data Warehouse Reference Architecture

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  • Oracle acquires Pillar Data Systems

    - by nospam(at)example.com (Joerg Moellenkamp)
    So far it was an investment of Larry Ellison, but now it's part of Oracle: Oracle has acquired Pillar Data Systems.. You will find more information in the press release.. As i already smell some of the comments:Pillar Data Systems is majority owned by Oracle CEO Larry Ellison. The evaluation and negotiation of the transaction was led by an independent committee of Oracle's Board of Directors. The transaction is structured as a 100% earn-out with no up-front payment.

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  • Stairway to XML: Level 4 - Querying XML Data

    You can extract a subset of data from an XML instance by using the query() method, and you can use the value() method to retrieve individual element and attribute values from an XML instance. SQL Monitor v3 is even more powerfulUse custom metrics to monitor and alert on data that's most important for your environment, easily imported from our custom metrics site. Find out more.

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  • High Availability Configuration using Heartbeat and Pacemaker

    - by pradeepchhetri
    I have the following setup: I have configured high availability between two load balancers (HAProxy) so that if HAProxy1 get down, the floating IP gets transferred to the other load balancer HAProxy2, hence all the clients will get the response from HAProxy2, which at the back-end is doing LB among the sme two webserver. This is for removing the single point of failure in case of only one HAProxy. Whenever I stops the hearbeat in HAProxy1, the floating IP goes to HAProxy2. But I want to configure such that whenever the process haproxy goes down, the floating IP should get assigned to HAProxy2. Can someone tell me how to implement it ?

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  • Stairway to XML: Level 2 - The XML Data Type

    Robert Sheldon describes SQL Server's XML Data Type, and shows that it is as easy to configure a variable, column, or parameter with the XML data type as configuring one of these objects with any other datatype Keep your database and application development in syncSQL Connect is a Visual Studio add-in that brings your databases into your solution. It then makes it easy to keep your database in sync, and commit to your existing source control system. Find out more.

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  • proxy.pac file performance optimization

    - by Tuinslak
    I reroute certain websites through a proxy with a proxy.pac file. It basically looks like this: if (shExpMatch(host, "www.youtube.com")) { return "PROXY proxy.domain.tld:8080; DIRECT" } if (shExpMatch(host, "youtube.com")) { return "PROXY proxy.domain.tld:8080; DIRECT" } At the moment about 125 sites are rerouted using this method. However, I plan on adding quite a few more domains to it, and I'm guessing it will eventually be a list of 500-1000 domains. It's important to not reroute all traffic through the proxy. What's the best way to keep this file optimized, performance-wise ? Thanks

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  • Lazy/deferred loading of a CollectionViewSource?

    - by Shimmy
    When you create a CollectionViewSource in the Resources section, is the set Source loaded when the resources are initalized (i.e. when the Resources holder is inited) or when data is bound? Is there a xamly way to make a CollectionViewSource lazy-load? deferred-load? explicit-load?

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  • Weighted round robins via TTL - possible?

    - by Joe Hopfgartner
    I currently use DNS round robin for load balancing, which works great. The records look like this (I have a ttl of 120 seconds) ;; ANSWER SECTION: orion.2x.to. 116 IN A 80.237.201.41 orion.2x.to. 116 IN A 87.230.54.12 orion.2x.to. 116 IN A 87.230.100.10 orion.2x.to. 116 IN A 87.230.51.65 I learned that not every ISP / device treats such a response the same way. For example some DNS servers rotate the addresses randomly or always cycle them through. Some just propagate the first entry, others try to determine which is best (regionally near) by looking at the ip address. However if the userbase is big enough (spreads over multiple ISPs etc) it balances pretty well. The discrepancies from highest to lowest loaded server hardly every exceeds 15%. However now I have the problem that I am introducing more servers into the systems, that not all have the same capacities. I currently only have 1gbps servers, but I want to work with 100mbit and also 10gbps servers too. So what I want is I want to introduce a server with 10 GBps with a weight of 100, a 1 gbps server with a weight of 10 and a 100 mbit server with a weight of 1. I used to add servers twice to bring more traffic to them (which worked nice. the bandwidth doubled almost.) But adding a 10gbit server 100 times to DNS is a bit rediculous. So I thought about using the TTL. If I give server A 240 seconds ttl and server B only 120 seconds (which is about about the minimum to use for round robin, as a lot of dns servers set to 120 if a lower ttl is specified.. so i have heard) I think something like this should occour in an ideal scenario: first 120 seconds 50% of requests get server A -> keep it for 240 seconds. 50% of requests get server B -> keep it for 120 seconds second 120 seconds 50% of requests still have server A cached -> keep it for another 120 seconds. 25% of requests get server A -> keep it for 240 seconds 25% of requests get server B -> keep it for 120 seconds third 120 seconds 25% will get server A (from the 50% of Server A that now expired) -> cache 240 sec 25% will get server B (from the 50% of Server A that now expired) -> cache 120 sec 25% will have server A cached for another 120 seconds 12.5% will get server B (from the 25% of server B that now expired) -> cache 120sec 12.5% will get server A (from the 25% of server B that now expired) -> cache 240 sec fourth 120 seconds 25% will have server A cached -> cache for another 120 secs 12.5% will get server A (from the 25% of b that now expired) -> cache 240 secs 12.5% will get server B (from the 25% of b that now expired) -> cache 120 secs 12.5% will get server A (from the 25% of a that now expired) -> cache 240 secs 12.5% will get server B (from the 25% of a that now expired) -> cache 120 secs 6.25% will get server A (from the 12.5% of b that now expired) -> cache 240 secs 6.25% will get server B (from the 12.5% of b that now expired) -> cache 120 secs 12.5% will have server A cached -> cache another 120 secs ... i think i lost something at this point but i think you get the idea.... As you can see this gets pretty complicated to predict and it will for sure not work out like this in practice. But it should definitely have an effect on the distribution! I know that weighted round robin exists and is just controlled by the root server. It just cycles through dns records when responding and returns dns records with a set propability that corresponds to the weighting. My DNS server does not support this, and my requirements are not that precise. If it doesnt weight perfectly its okay, but it should go into the right direction. I think using the TTL field could be a more elegant and easier solution - and it deosnt require a dns server that controls this dynamically, which saves resources - which is in my opinion the whole point of dns load balancing vs hardware load balancers. My question now is... are there any best prectices / methos / rules of thumb to weight round robin distribution using the TTL attribute of DNS records? Edit: The system is a forward proxy server system. The amount of Bandwidth (not requests) exceeds what one single server with ethernet can handle. So I need a balancing solution that distributes the bandwidth to several servers. Are there any alternative methods than using DNS? Of course I can use a load balancer with fibre channel etc, but the costs are rediciulous and it also increases only the width of the bottleneck and does not eliminate it. The only thing i can think of are anycast (is it anycast or multicast?) ip addresses, but I don't have the means to set up such a system.

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