Search Results

Search found 23005 results on 921 pages for 'query cache'.

Page 24/921 | < Previous Page | 20 21 22 23 24 25 26 27 28 29 30 31  | Next Page >

  • Any way to view dynamic java content ex-post? Browser session still open

    - by Ryan
    I feel like a grandpa from 1996 asking this, but is it at all possible to view a representation of a particular screen that was rendered as part of a java-based online checkout process I executed a couple days ago? I haven't cleared my browser cache or temp files or anything, and I don't think I've restarted the comp or even the browser since. I'm using mac OS X 10.6.8, and the page(s) were viewed with Chrome version 21.0.1180.89 in standard mode (not incognito). Specifically the page in question was part of Verizon Wireless's 'iconic' contract/checkout process, which leads the user through several pages to make selections on various criteria and seems to be based on java. (Obviously I'm a dummy regarding web stuff so the question is probably not very well defined, I'm happy to elaborate). ^This is the tl;dr question. If it belongs on another site please just let me know. This is what I've been able to figure out on my own, for the bored / ultra-helpful / those who could use a laugh at a noob fumbling his way around cache files with no idea what he's doing: The progress through the selection pages is very clear in Chrome's browser history, the sequential pages are: https://www.verizonwireless.com/b2c/accountholder/estore/phoneupgrade?execution=e3s2 https://www.verizonwireless.com/b2c/accountholder/estore/phoneupgrade?execution=e3s3 https://www.verizonwireless.com/b2c/accountholder/estore/phoneupgrade?execution=e3s4 https://www.verizonwireless.com/b2c/accountholder/estore/phoneupgrade?execution=e3s5 https://preorder.verizonwireless.com/iconic/?format=JSON&value={%22action%22:%22START_ORDER%22,%22custType%22:%22EXISTING%22,%22orderType%22:%22UPGRADE%22,%22lookupMtn%22:%22*(NumberA)*%22,%22lineData%22:[{%22mtn%22:%22*(NumberA)*%22,%22upgType%22:%22ALTERNATE_UPGRADE%22,%22eligibleMtn%22:%22*(NumberB)*%22}]} https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicOrder.do?format=JSON&value={%22action%22:%22START_ORDER%22,%22custType%22:%22EXISTING%22,%22orderType%22:%22UPGRADE%22,%22lookupMtn%22:%22*(NumberA)*%22,%22lineData%22:[{%22mtn%22:%22*(NumberA)*%22,%22upgType%22:%22ALTERNATE_UPGRADE%22,%22eligibleMtn%22:%22*(NumberB)*%22}]} https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicEligibility.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicDeviceSelection.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/PlanOptions.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicFeatures.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicAccessories.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicShipmentBilling.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicReview.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicPaymentCreditInfo.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicConfirmation.do The visual representation I would need could come from any of these pages, as the necessary information was shown at the top of each of them (although the two with long URLs were just like redirects or something). Of course, clicking the link to the page in History right now requires a new sign-in and just returns the user to the initial step for doing the process again; it does not pull up a representation of the page as it was seen several days ago. This I understand. Instead using Chrome's integrated cache viewer by typing about:cache in the address bar, I can search and find links that appear to be relevant, when I click on the link I just get a http header and a bunch of hexadecimal gobbledygook. I've tried to use the URL at the top of the cache and URLs in the http headers, but they take me to current versions of those pages and not the versions I saw during the checkout process. I tried this with a few of them but stopped because I noticed that it updated the date in the http header to the present moment and I don't want to take chances overwriting the cache files since I don't know what I'm doing. The links to the cache files look like this: https://login.verizonwireless.com/amserver/UI/Login?realm=vzw&goto=https%3A%2F%2Fpreorder.verizonwireless.com%3A443%2Ficonic%2Ficonic%2Fsecured%2Fscreens%2FPlanOptions.do https://preorder.verizonwireless.com/iconic/iconic/screens/customerTypeOverlay.jsp https://verizonwireless.tt.omtrdc.net/m2/verizonwireless/mbox/standard?mboxHost=login.verizonwireless.com&mboxSession=1347776884663-145230&mboxPC=1347609748832-956765.19&mboxPage=1347776884663-145230&screenHeight=1200&screenWidth=1920&browserWidth=1299&browserHeight=868&browserTimeOffset=-420&colorDepth=24&mboxCount=1&mbox=My_Verizon_Global&mboxId=0&mboxTime=1347751684666&mboxURL=https%3A%2F%2Flogin.verizonwireless.com%2Famserver%2FUI%2FLogin%3Frealm%3Dvzw%26goto%3Dhttps%253A%252F%252Fpreorder.verizonwireless.com%253A443%252Ficonic%252Ficonic%252Fsecured%252Fscreens%252FPlanOptions.do&mboxReferrer=&mboxVersion=41 and https://verizonwireless.tt.omtrdc.net/m2/verizonwireless/mbox/standard?mboxHost=login.verizonwireless.com&mboxSession=1347735676953-663794&mboxPC=1347609748832-956765.19&mboxPage=1347738347511-550383&screenHeight=1200&screenWidth=1920&browserWidth=1299&browserHeight=845&browserTimeOffset=-420&colorDepth=24&mboxCount=1&mbox=My_Verizon_Global&mboxId=0&mboxTime=1347713147517&mboxURL=https%3A%2F%2Flogin.verizonwireless.com%2Famserver%2FUI%2FLogin%3Frealm%3Dvzw%26goto%3Dhttps%253A%252F%252Fpreorder.verizonwireless.com%253A443%252Ficonic%252Ficonic%252Fsecured%252Fscreens%252FIconicOrder.do%253Fformat%253DJSON%2526value%253D%257B%252522action%252522%253A%252522START_ORDER%252522%252C%252522custType%252522%253A%252522EXISTING%252522%252C%252522orderType%252522%253A%252522UPGRADE%252522%252C%252522lookupMtn%252522%253A%252522*(NumberA)*%252522%252C%252522lineData%252522%253A%255B%257B%252522mtn%252522%253A%252522*(NumberA)*%252522%252C%252522upgType%252522%253A%252522ALTERNATE_UPGRADE%252522%252C%252522eligibleMtn%252522%253A%252522*(NumberB)*%252522%257D%255D%257D&mboxReferrer=&mboxVersion=41 and the http headers look like this: HTTP/1.1 200 OK Server: VZW Date: Sun, 16 Sep 2012 14:55:48 GMT Cache-control: private Pragma: no-cache Expires: 0 X-dsameversion: VZW Am_client_type: genericHTML Content-type: text/html;charset=ISO-8859-1 Content-Encoding: gzip Content-Length: 6220 and HTTP/1.1 200 OK Cache-Control: no-cache Date: Sun, 16 Sep 2012 16:16:30 GMT Content-Type: text/html Expires: Thu, 01 Jan 1970 00:00:00 GMT Content-Encoding: gzip X-Powered-By: Servlet/2.5 JSP/2.1 and HTTP/1.1 302 Moved Temporarily Server: VZW Date: Sun, 16 Sep 2012 16:29:32 GMT Cache-control: private Pragma: no-cache X-dsameversion: VZW Am_client_type: genericHTML Location: https://preorder.verizonwireless.com:443/iconic/iconic/secured/screens/IconicOrder.do?format=JSON&value={%22action%22:%22START_ORDER%22,%22custType%22:%22EXISTING%22,%22orderType%22:%22UPGRADE%22,%22lookupMtn%22:%22*(*(NumberA)*%22,%22lineData%22:[{%22mtn%22:%22*(NumberA)*%22,%22upgType%22:%22ALTERNATE_UPGRADE%22,%22eligibleMtn%22:%22*(NumberB)*%22}]} Content-length: 0 ^^this last one actually returned me to a page in the middle of the process when I used the "Location:" given in this http header rather than the URL at the top of the cache page (and was signed in to Verizon's website through a separate tab), but the page it took me to had already been updated to reflect new information, it wasn't presented as of the time the actions were taken several days ago when the page was originally viewed. (It's clear I can't achieve what I'm looking for by visiting current versions of these pages on the web…I should actually probably disable my network adapter while testing this out). The cache folder seems promising, but I don't know what to make of all that hexadecimal mess - if it contains what I'm looking for and if so, how to view it. Finally, the third thing I've come across is the Google Chrome cache folder on my local machine, at ~/Library/Caches/Google/Chrome/ then there are 'Default' and 'Media Cache' folders within. There are ~4,000 files in the former averaging ~100kb each, and 100 files in the latter averaging ~900kb each. The filenames all start "f_00xxxx" except for files titled data_0 through data_4 in each folder. I'm not sure how to observe the contents of these files and don't really want to start opening them up and potentially overwriting existing cached pages, as I notice there are already some holes in the arrangement of the files which I have never deleted manually. Hopefully this is an easy question to answer for someone who knows this stuff, admittedly web stuff is my weak point. As such, I've spent the past five hours searching around and trying to provide all the information I can. I'm probably asking for a miracle - like can those cached pages full of hexadecimal data be used to recreate the representation of the information that was on screen during the process? Or could screenshots of the previously viewed webpages be lurking in the /Caches folder? I have doubt because the content wasn't viewed at a permanent link, rather it seems like the on-screen information was served by Verizon's db, and probably securely so. I'm just not sure if Chrome saves the visual rendering of the page contents somewhere, even just temporarily. Alternatively I would be happy just to get the raw data that was on the page, even if not a visual representation…I just need to be able to demonstrate the phone line that was referenced on this page: https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicFeatures.do . Can anyone point me in the right direction?

    Read the article

  • Can enabling a RAID controller's writeback cache harm overall performance?

    - by Nathan O'Sullivan
    I have an 8 drive RAID 10 setup connected to an Adaptec 5805Z, running Centos 5.5 and deadline scheduler. A basic dd read test shows 400mb/sec, and a basic dd write test shows about the same. When I run the two simultaneously, I see the read speed drop to ~5mb/sec while the write speed stays at more or less the same 400mb/sec. The output of iostat -x as you would expect, shows that very few read transactions are being executed while the disk is bombarded with writes. If i turn the controller's writeback cache off, I dont see a 50:50 split but I do see a marked improvement, somewhere around 100mb/s reads and 300mb/s writes. I've also found if I lower the nr_requests setting on the drive's queue (somewhere around 8 seems optimal) I can end up with 150mb/sec reads and 150mb/sec writes; ie. a reduction in total throughput but certainly more suitable for my workload. Is this a real phenomenon? Or is my synthetic test too simplistic? The reason this could happen seems clear enough, when the scheduler switches from reads to writes, it can run heaps of write requests because they all just land in the controllers cache but must be carried out at some point. I would guess the actual disk writes are occuring when the scheduler starts trying to perform reads again, resulting in very few read requests being executed. This seems a reasonable explanation, but it also seems like a massive drawback to using writeback cache on an system with non-trivial write loads. I've been searching for discussions around this all afternoon and found nothing. What am I missing?

    Read the article

  • Cache of Objects or OutPut in View ? Wich is better ?

    - by Felipe
    Hi everybody, I have an ecommerce working in ASP.Net MVC. i'm using Caching to improve more performace in my pages and it's working fine. I'd link to know what is more performative, for example, I can set OutPutCache in my views and and use this cache for all page OR I could get my List of Products in controller, put it on cache (like the code below) and send it to View to render for the user??? private IEnumerable<Products> GetProductsCache(string key, ProductType type) { if (HttpContext.Cache[key] == null) HttpContext.Cache.Insert(key, ProductRepository.GetProducts(type), null, DateTime.Now.AddMinutes(10), Cache.NoSlidingExpiration); return (IEnumerable<Products>)HttpContext.Cache[key]; } public ActionResult Index() { var home = new HomeViewModel() { Products = GetProductsCache("ProductHomeCache", ProductType.Product) Services = GetProductsCache("ServiceHomeCache", ProductType.Service) }; return View(home); } Both works fine, but I'd like to know what is suggested to improve more performace ? Or is there others way to do it better ? PS: sorry for my english! thanks all... Cheers

    Read the article

  • What does SQL Server trace flag 253 do?

    - by kamens
    In another question I was trying to research how to control SQL Server's query plan caches: http://stackoverflow.com/questions/2593749/is-there-an-equivalent-of-optionrecompile-or-with-recompile-for-an-entire-c ...and I found trace flag 253 via this article: http://www.sqlservercentral.com/Forums/Topic837613-146-1.aspx The article is correct, if I run DBCC TRACEON(253) and then a number of queries, I can manually check the query plan cache and see that plans have not been inserted. If I run DBCC TRACEOFF(253), query plans are cached as normal. So my question is...what else does this flag do? Does anybody know the official story?

    Read the article

  • MySQL limit from descending order

    - by faya
    Hello, Is it available to write a query to use same "LIMIT (from), (count)", but get result in backwards? In example if I have 8 rows in the table and I want to get 5 rows in two steps I would: first step query: select * from table limit 0, 5 first step result: first 5 rows; second step query: select * from table limit 5, 5 second step result: last 3 rows; But I want to get it vice versa. I mean from the first step I want last 3 rows and from the second I want 5 first rows. Thank you for your answer

    Read the article

  • mysql inserts & updates optimized

    - by user271619
    This is an optimization question, mostly. I have many forms on my sites that do simple Inserts and Updates. (Nothing complicated) But, several of the form's input fields are not necessary and may be left empty. (again, nothing complicated) However, my SQL query will have all columns in the Statement. My question, is it best to optimize the Inserts/Update queries appropriately? And only apply the columns that are changed into the query? We all hear that we shouldn't use the "SELECT *" query, unless it's absolutely needed for displaying all columns. But what about Inserts & Updates? Hope this makes sense. I'm sure any amount of optimization is acceptable. But I never really hear about this, specifically, from anyone.

    Read the article

  • Should I have a separate method for Update(), Insert(), etc., or have a generic Query() that would be able to handle all of these?

    - by Prayos
    I'm currently trying to write a class library for a connection to a database. Looking over it, there are several different types of queries: Select From, Update, Insert, etc. My question is, what is the best practice for writing these queries in a C# application? Should I have a separate method for each of them(i.e. Update(), Insert()), or have a generic Query() that would be able to handle all of these? Thanks for any and all help!

    Read the article

  • SQL SERVER – Reducing CXPACKET Wait Stats for High Transactional Database

    - by pinaldave
    While engaging in a performance tuning consultation for a client, a situation occurred where they were facing a lot of CXPACKET Waits Stats. The client asked me if I could help them reduce this huge number of wait stats. I usually receive this kind of request from other client as well, but the important thing to understand is whether this question has any merits or benefits, or not. Before we continue the resolution, let us understand what CXPACKET Wait Stats are. The official definition suggests that CXPACKET Wait Stats occurs when trying to synchronize the query processor exchange iterator. You may consider lowering the degree of parallelism if a conflict concerning this wait type develops into a problem. (from BOL) In simpler words, when a parallel operation is created for SQL Query, there are multiple threads for a single query. Each query deals with a different set of the data (or rows). Due to some reasons, one or more of the threads lag behind, creating the CXPACKET Wait Stat. Threads which came first have to wait for the slower thread to finish. The Wait by a specific completed thread is called CXPACKET Wait Stat. Note that CXPACKET Wait is done by completed thread and not the one which are unfinished. “Note that not all the CXPACKET wait types are bad. You might experience a case when it totally makes sense. There might also be cases when this is also unavoidable. If you remove this particular wait type for any query, then that query may run slower because the parallel operations are disabled for the query.” Now let us see what the best practices to reduce the CXPACKET Wait Stats are. The suggestions, with which you will find that if you search online through the browser, would play a major role as and might be asked about their jobs In addition, might tell you that you should set ‘maximum degree of parallelism’ to 1. I do agree with these suggestions, too; however, I think this is not the final resolutions. As soon as you set your entire query to run on single CPU, you will get a very bad performance from the queries which are actually performing okay when using parallelism. The best suggestion to this is that you set ‘the maximum degree of parallelism’ to a lower number or 1 (be very careful with this – it can create more problems) but tune the queries which can be benefited from multiple CPU’s. You can use query hint OPTION (MAXDOP 0) to run the server to use parallelism. Here is the two-quick script which helps to resolve these issues: Change MAXDOP at Server Level EXEC sys.sp_configure N'max degree of parallelism', N'1' GO RECONFIGURE WITH OVERRIDE GO Run Query with all the CPU (using parallelism) USE AdventureWorks GO SELECT * FROM Sales.SalesOrderDetail ORDER BY ProductID OPTION (MAXDOP 0) GO Below is the blog post which will help you to find all the parallel query in your server. SQL SERVER – Find Queries using Parallelism from Cached Plan Please note running Queries in single CPU may worsen your performance and it is not recommended at all. Infect this can be very bad advise. I strongly suggest that you identify the queries which are offending and tune them instead of following any other suggestions. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

    Read the article

  • SQL SERVER – Simple Demo of New Cardinality Estimation Features of SQL Server 2014

    - by Pinal Dave
    SQL Server 2014 has new cardinality estimation logic/algorithm. The cardinality estimation logic is responsible for quality of query plans and majorly responsible for improving performance for any query. This logic was not updated for quite a while, but in the latest version of SQL Server 2104 this logic is re-designed. The new logic now incorporates various assumptions and algorithms of OLTP and warehousing workload. Cardinality estimates are a prediction of the number of rows in the query result. The query optimizer uses these estimates to choose a plan for executing the query. The quality of the query plan has a direct impact on improving query performance. ~ Souce MSDN Let us see a quick example of how cardinality improves performance for a query. I will be using the AdventureWorks database for my example. Before we start with this demonstration, remember that even though you have SQL Server 2014 to see the effect of new cardinality estimates, you will need your database compatibility mode set to 120 which is for SQL Server 2014. If your server instance of SQL Server 2014 but you have set up your database compatibility mode to 110 or any other earlier version, you will get performance from your query like older version of SQL Server. Now we will execute following query in two different compatibility mode and see its performance. (Note that my SQL Server instance is of version 2014). USE AdventureWorks2014 GO -- ------------------------------- -- NEW Cardinality Estimation ALTER DATABASE AdventureWorks2014 SET COMPATIBILITY_LEVEL = 120 GO EXEC [dbo].[uspGetManagerEmployees] 44 GO -- ------------------------------- -- Old Cardinality Estimation ALTER DATABASE AdventureWorks2014 SET COMPATIBILITY_LEVEL = 110 GO EXEC [dbo].[uspGetManagerEmployees] 44 GO Result of Statistics IO Compatibility level 120 Table ‘Person’. Scan count 0, logical reads 6, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Employee’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Compatibility level 110 Table ‘Worktable’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Person’. Scan count 0, logical reads 137, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Employee’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. You will notice in the case of compatibility level 110 there 137 logical read from table person where as in the case of compatibility level 120 there are only 6 physical reads from table person. This drastically improves the performance of the query. If we enable execution plan, we can see the same as well. I hope you will find this quick example helpful. You can read more about this in my latest Pluralsight Course. Reference: Pinal Dave (http://blog.SQLAuthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

    Read the article

  • Loading the Cache from the Business Application Server

    - by ACShorten
    By default, the Web Application server will directly connect to the Database to load its cache at startup time. Customers, who implement the product installation in distributed mode, where the Web Application Server and Business Application Server are deployed separately, may wish to prevent the Web Application Server to connect to the database directly. Installation of the product in distributed mode was introduced in Oracle Utilities Application Framework V2.2. In the Advanced Web Application Server configuration, it is possible to set the Create Simple Web Application Context (WEBAPPCONTEXT) to true to force the Web Application Server to load its cache via the Business Application rather than direct loading. The value of false will retain the default behavior of allowing the Web Application Server to connect directly to the database at startup time to load the cache. The value of true will load the cache data via direct calls to the Business Application Server, which can cause a slight delay in the startup process to cater for the architecture load rather than the direct load. The impact of the settings is illustrated in the figure below:                             When setting this value to true, the following properties files should be manually removed prior to executing the product: $SPLEBASE/etc/conf/root/WEB-INF/classes/hibernate.properties $SPLEBASE/splapp/applications/root/WEB-INF/classes/hibernate.properties Note: For customers who are using a local installation, where the Web Application Server and Business Application Server are combined in the deployed server, it is recommended to set this parameter to false, the default, unless otherwise required. This facility is available for Oracle Utilities Application Framework V4.1 in Group Fix 3 (via Patch 11900153) and Patch 13538242 available from My Oracle Support.

    Read the article

  • Dealing with Fine-Grained Cache Entries in Coherence

    - by jpurdy
    On occasion we have seen significant memory overhead when using very small cache entries. Consider the case where there is a small key (say a synthetic key stored in a long) and a small value (perhaps a number or short string). With most backing maps, each cache entry will require an instance of Map.Entry, and in the case of a LocalCache backing map (used for expiry and eviction), there is additional metadata stored (such as last access time). Given the size of this data (usually a few dozen bytes) and the granularity of Java memory allocation (often a minimum of 32 bytes per object, depending on the specific JVM implementation), it is easily possible to end up with the case where the cache entry appears to be a couple dozen bytes but ends up occupying several hundred bytes of actual heap, resulting in anywhere from a 5x to 10x increase in stated memory requirements. In most cases, this increase applies to only a few small NamedCaches, and is inconsequential -- but in some cases it might apply to one or more very large NamedCaches, in which case it may dominate memory sizing calculations. Ultimately, the requirement is to avoid the per-entry overhead, which can be done either at the application level by grouping multiple logical entries into single cache entries, or at the backing map level, again by combining multiple entries into a smaller number of larger heap objects. At the application level, it may be possible to combine objects based on parent-child or sibling relationships (basically the same requirements that would apply to using partition affinity). If there is no natural relationship, it may still be possible to combine objects, effectively using a Coherence NamedCache as a "map of maps". This forces the application to first find a collection of objects (by performing a partial hash) and then to look within that collection for the desired object. This is most naturally implemented as a collection of entry processors to avoid pulling unnecessary data back to the client (and also to encapsulate that logic within a service layer). At the backing map level, the NIO storage option keeps keys on heap, and so has limited benefit for this situation. The Elastic Data features of Coherence naturally combine entries into larger heap objects, with the caveat that only data -- and not indexes -- can be stored in Elastic Data.

    Read the article

  • Caching preventing users seeing site updates

    - by Timmeh
    I'm experiencing a caching issue I can't explain. This is happening across browsers, IPs and ISPs. If a user force-refreshes, they see the new content. If they then refresh or return to the page, the old one displays. I've tried using headers via PHP such as header( 'Expires: Sat, 26 Jul 1997 05:00:00 GMT' ); header( 'Last-Modified: ' . gmdate( 'D, d M Y H:i:s' ) . ' GMT' ); header( 'Cache-Control: no-store, no-cache, must-revalidate' ); header( 'Cache-Control: post-check=0, pre-check=0', false ); header( 'Pragma: no-cache' ); Laid out correctly, at the very beginning of the file. The problem persists. A pan-ISP proxy is unlikely. Suggestions?

    Read the article

  • ?Oracle DB 11gR2 ?????????????????????????????????????!

    - by Yuichi.Hayashi
    Oracle Database????????????????????????????????????????????????????????????????????????·?????????????????????? ?????????/?????????????????????????????????????11g R2??????????????! ????????? Oracle Database?????????????????????????????????????CPU????·???????????????????????????????????????????????? ?????????????????????????????????????????????? ??????????????????????????????(?????????????·???????)????????????????????????????????????????????????????·?????????????????????????????????????????? ?????????????????????????????????????? ????11g R2??????????????????????????????????????????????? ????????????????? ???????????????????????????????Oracle?????????????????????????????????????? ???????????????????CPU????????????????????????????????????????! Oracle Database????????????????????????????? Oracle ?????? - ??(??), ??, ????? Database Smart Flash Cache Oracle Database??Hard Disk Drive(HDD)???????????????????????SQL??????????????????????????????????????????????????·?????·?????100%??????????????????????????????? ?????????????·??????????CPU????·???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????(????·?????·????????)???????·??????????????????????????? HDD????????????????(???)?????????????????????HDD??IO?????????????????????????? ?????????Solid State Drive/Device(SSD)??? SSD?HDD??????????????????????????????????OLTP????????·??????????????????????????????????????????????????????SSD???????????????????????????? ???11g R2???????????SSD???????????Database Smart Flash Cache????????????Database Smart Flash Cache??????·???????????????????????????(Hot Data)?Oracle?????SSD??????????? ????????!?????????SSD????????????????????SSD????????????????????? SSD???????????????????????????????????? Database Smart Flash Cache?????????????????????? SSD???Oracle???: Database Smart Flash Cache - ??(??), ??, ????? ?????????? ? ???????????????/????????????????!? ? ???????????????????????????????????!?

    Read the article

  • C#: How to implement a smart cache

    - by Svish
    I have some places where implementing some sort of cache might be useful. For example in cases of doing resource lookups based on custom strings, finding names of properties using reflection, or to have only one PropertyChangedEventArgs per property name. A simple example of the last one: public static class Cache { private static Dictionary<string, PropertyChangedEventArgs> cache; static Cache() { cache = new Dictionary<string, PropertyChangedEventArgs>(); } public static PropertyChangedEventArgs GetPropertyChangedEventArgsa(string propertyName) { if (cache.ContainsKey(propertyName)) return cache[propertyName]; return cache[propertyName] = new PropertyChangedEventArgs(propertyName); } } But, will this work well? For example if we had a whole load of different propertyNames, that would mean we would end up with a huge cache sitting there never being garbage collected or anything. I'm imagining if what is cached are larger values and if the application is a long-running one, this might end up as kind of a problem... or what do you think? How should a good cache be implemented? Is this one good enough for most purposes? Any examples of some nice cache implementations that are not too hard to understand or way too complex to implement?

    Read the article

  • Flash Backed Write Cache (FBWC) without capacitor pack

    - by Martyn
    I brought a HP Smart Array P410 controller and it is installed and working fine in a HP Prolient Microserver with 4 drives in two RAID 1 arrays. I didn’t realise however that it came without any cache so would only work by directly writing straight to the disk, and the performance was horrible. So I then brought the 512MB Flash Backed Write Cache (FBWC) memory module as I was under the impression that with FBWC I would not need a battery. I got this idea from a forum post. "What do you guys think of the choice between 'BBWC' (battery backed write cache) and 'FBWC' (flash backed write cache)? The flashed based ones use non-volitile memory so need no battery." After installing the cache module however the server pretty much won’t boot. The P410 has a flashing amber light on it, and from the manual that doesn’t sound good. I’ve managed to get to the on board BIOS once and even managed to get to boot to the HP Array Configuration Utility (ACU) CD once, but every other time the Server continuingly reboots once it get to the POST screen and reads ARRAY INITILIZING %%%. The one time I reached the ACU, it reported a problem with the Cache Module. To me, it seems like the cache module is faulty, however the supplier tells me “Do you have an FBWC battery pack, p/n 587324-001, because that is required for the cache to work. If you have it, please complete an RMA form and we'll send a replacement / credit.” Does this sound right to you? I’ve been ordering the parts from the US and I don’t want to spend $77 + $40 p&p on a battery, wait a week for the shipping to find the card is faulty, and I don’t want to send back a working card?

    Read the article

  • Sixeyed.Caching available now on NuGet and GitHub!

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/22/sixeyed.caching-available-now-on-nuget-and-github.aspxThe good guys at Pluralsight have okayed me to publish my caching framework (as seen in Caching in the .NET Stack: Inside-Out) as an open-source library, and it’s out now. You can get it here: Sixeyed.Caching source code on GitHub, and here: Sixeyed.Caching package v1.0.0 on NuGet. If you haven’t seen the course, there’s a preview here on YouTube: In-Process and Out-of-Process Caches, which gives a good flavour. The library is a wrapper around various cache providers, including the .NET MemoryCache, AppFabric cache, and  memcached*. All the wrappers inherit from a base class which gives you a set of common functionality against all the cache implementations: •    inherits OutputCacheProvider, so you can use your chosen cache provider as an ASP.NET output cache; •    serialization and encryption, so you can configure whether you want your cache items serialized (XML, JSON or binary) and encrypted; •    instrumentation, you can optionally use performance counters to monitor cache attempts and hits, at a low level. The framework wraps up different caches into an ICache interface, and it lets you use a provider directly like this: Cache.Memory.Get<RefData>(refDataKey); - or with configuration to use the default cache provider: Cache.Default.Get<RefData>(refDataKey); The library uses Unity’s interception framework to implement AOP caching, which you can use by flagging methods with the [Cache] attribute: [Cache] public RefData GetItem(string refDataKey) - and you can be more specific on the required cache behaviour: [Cache(CacheType=CacheType.Memory, Days=1] public RefData GetItem(string refDataKey) - or really specific: [Cache(CacheType=CacheType.Disk, SerializationFormat=SerializationFormat.Json, Hours=2, Minutes=59)] public RefData GetItem(string refDataKey) Provided you get instances of classes with cacheable methods from the container, the attributed method results will be cached, and repeated calls will be fetched from the cache. You can also set a bunch of cache defaults in application config, like whether to use encryption and instrumentation, and whether the cache system is enabled at all: <sixeyed.caching enabled="true"> <performanceCounters instrumentCacheTotalCounts="true" instrumentCacheTargetCounts="true" categoryNamePrefix ="Sixeyed.Caching.Tests"/> <encryption enabled="true" key="1234567890abcdef1234567890abcdef" iv="1234567890abcdef"/> <!-- key must be 32 characters, IV must be 16 characters--> </sixeyed.caching> For AOP and methods flagged with the cache attribute, you can override the compile-time cache settings at runtime with more config (keyed by the class and method name): <sixeyed.caching enabled="true"> <targets> <target keyPrefix="MethodLevelCachingStub.GetRandomIntCacheConfiguredInternal" enabled="false"/> <target keyPrefix="MethodLevelCachingStub.GetRandomIntCacheExpiresConfiguredInternal" seconds="1"/> </targets> It’s released under the MIT license, so you can use it freely in your own apps and modify as required. I’ll be adding more content to the GitHub wiki, which will be the main source of documentation, but for now there’s an FAQ to get you started. * - in the course the framework library also wraps NCache Express, but there's no public redistributable library that I can find, so it's not in Sixeyed.Caching.

    Read the article

  • SQL SERVER – DMV – sys.dm_os_waiting_tasks and sys.dm_exec_requests – Wait Type – Day 4 of 28

    - by pinaldave
    Previously, we covered the DMV sys.dm_os_wait_stats, and also saw how it can be useful to identify the major resource bottleneck. However, at the same time, we discussed that this is only useful when we are looking at an instance-level picture. Quite often we want to know about the processes going in our server at the given instant. Here is the query for the same. This DMV is written taking the following into consideration: we want to analyze the queries that are currently running or which have recently ran and their plan is still in the cache. SELECT dm_ws.wait_duration_ms, dm_ws.wait_type, dm_es.status, dm_t.TEXT, dm_qp.query_plan, dm_ws.session_ID, dm_es.cpu_time, dm_es.memory_usage, dm_es.logical_reads, dm_es.total_elapsed_time, dm_es.program_name, DB_NAME(dm_r.database_id) DatabaseName, -- Optional columns dm_ws.blocking_session_id, dm_r.wait_resource, dm_es.login_name, dm_r.command, dm_r.last_wait_type FROM sys.dm_os_waiting_tasks dm_ws INNER JOIN sys.dm_exec_requests dm_r ON dm_ws.session_id = dm_r.session_id INNER JOIN sys.dm_exec_sessions dm_es ON dm_es.session_id = dm_r.session_id CROSS APPLY sys.dm_exec_sql_text (dm_r.sql_handle) dm_t CROSS APPLY sys.dm_exec_query_plan (dm_r.plan_handle) dm_qp WHERE dm_es.is_user_process = 1 GO You can change CROSS APPLY to OUTER APPLY if you want to see all the details which are omitted because of the plan cache. Let us analyze the result of the above query and see how it can be helpful to identify the query and the kind of wait type it creates. Click to Enlarage The above query will return various columns. There are various columns that provide very important details. e.g. wait_duration_ms – it indicates current wait for the query that executes at that point of time. wait_type – it indicates the current wait type for the query text – indicates the query text query_plan – when clicked on the same, it will display the query plans There are many other important information like CPU_time, memory_usage, and logical_reads, which can be read from the query as well. In future posts on this series, we will see how once identified wait type we can attempt to reduce the same. Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: DMV, Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

    Read the article

  • SQL SERVER – Quiz and Video – Introduction to Discovering XML Data Type Methods

    - by pinaldave
    This blog post is inspired from SQL Interoperability Joes 2 Pros: A Guide to Integrating SQL Server with XML, C#, and PowerShell – SQL Exam Prep Series 70-433 – Volume 5. [Amazon] | [Flipkart] | [Kindle] | [IndiaPlaza] This is follow up blog post of my earlier blog post on the same subject - SQL SERVER – Introduction to Discovering XML Data Type Methods – A Primer. In the article we discussed various basics terminology of the XML. The article further covers following important concepts of XML. What are XML Data Type Methods The query() Method The value() Method The exist() Method The modify() Method Above five are the most important concepts related to XML and SQL Server. There are many more things one has to learn but without beginners fundamentals one can’t learn the advanced  concepts. Let us have small quiz and check how many of you get the fundamentals right. Quiz 1.) Which method returns an XML fragment from the source XML? query( ) value( ) exist( ) modify( ) All of them Only query( ) and value( ) 2.) Which XML data type method returns a “1” if found and “0” if the specified XPath is not found in the source XML? query( ) value( ) exist( ) modify( ) All of them Only query( ) and value( ) 3.) Which XML data type method allows you to pick the data type of the value that is returned from the source XML? query( ) value( ) exist( ) modify( ) All of them Only query( ) and value( ) 4.) Which method will not work with a SQL SELECT statement? query( ) value( ) exist( ) modify( ) All of them Only query( ) and value( ) Now make sure that you write down all the answers on the piece of paper. Watch following video and read earlier article over here. If you want to change the answer you still have chance. Solution 1) 1 2) 3 3) 2 4) 4 Now compare let us check the answers and compare your answers to following answers. I am very confident you will get them correct. Available at USA: Amazon India: Flipkart | IndiaPlaza Volume: 1, 2, 3, 4, 5 Please leave your feedback in the comment area for the quiz and video. Did you know all the answers of the quiz? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

    Read the article

  • Firewall error when running Pando Media Booster (for League of Legends) in wine

    - by Matt2
    When I'm downloading League of Legends using Pando Media Booster in wine, I get an error when starting it: Connection Error Your system is currently not allowing access to our servers. Check your Firewall and/or security software sttings to allow PMB.exe to run. Reluctantly, I disabled ufw, but to no avail. The terminal displays the following multiple times: fixme:msvcp90:_Locinfo__Locinfo_ctor_cat_cstr (0x33fcf8 1 C) semi-stub fixme:dbghelp:EnumerateLoadedModulesW64 If this happens, bump the number in mod fixme:wininet:InternetAttemptConnect Stub fixme:oleacc:CreateStdAccessibleObject 0x4f00bc -4 {618736e0-3c3d-11cf-810c-00aa00389b71} 0xc252d18 fixme:oleacc:CreateStdAccessibleObject 0x3700c0 -4 {618736e0-3c3d-11cf-810c-00aa00389b71} 0xc252958 fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:uxtheme:BeginBufferedPaint Stub (0x1c28 0xcde880 0 (nil) 0xc2f6fe8) fixme:uxtheme:EndBufferedPaint Stub ((nil) 1) fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:uxtheme:EndBufferedPaint Stub ((nil) 1) fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:InternetAttemptConnect Stub fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:InternetAttemptConnect Stub fixme:wininet:InternetAttemptConnect Stub fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:advapi:RegisterEventSourceW ((null),L"BugSplat"): stub fixme:advapi:ReportEventW (0xcafe4242,0x0001,0x0000,0x00000001,(nil),0x0003,0x00000000,0x33f224,(nil)): stub err:eventlog:ReportEventW L"Pando_Win" err:eventlog:ReportEventW L"Pando" err:eventlog:ReportEventW L"-1" fixme:advapi:DeregisterEventSource (0xcafe4242) stub fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:advapi:RegisterEventSourceW ((null),L"BugSplat"): stub fixme:advapi:ReportEventW (0xcafe4242,0x0001,0x0000,0x00000001,(nil),0x0003,0x00000000,0x33f224,(nil)): stub err:eventlog:ReportEventW L"Pando_Win" err:eventlog:ReportEventW L"Pando" err:eventlog:ReportEventW L"-1" fixme:advapi:DeregisterEventSource (0xcafe4242) stub Any idea what's going on here? Is there a better place to put this question?

    Read the article

  • FireFox 6 Super Slow? Cache Settings Corruption

    - by Rick Strahl
    For those of you that follow me on Twitter, you've probably seen some of my tweets regarding major performance problems I've seen with the install of FireFox 6.0. FireFox 6.0 was released a couple of weeks ago and is treated as a 'force feed' update for FireFox 5.0. I'm not sure what the deal is with this braindead versioning that Mozilla is doing with major version releases coming out, what now every other month? Seriously that's retarded especially given the limited number of new features these releases bring, and the upgrade pain for plug-ins that the major version release causes. Anyway, after the FireFox updater bugged me long enough I finally gave in last week and updated to FireFox 6. Immediately after install I noticed terrible performance. Everything was running at a snail's pace with Web pages loading slowly and most content actually slowly 'painting' the page. A typical sign of content downloading slowly. However these are pages that should be mostly cached on my system and even repeated accesses ran just as slow. Just for a reality check I ran the same sites in Chrome (blazing fast) and IE (fast enough :-)) but FireFox - dog on a stick. Why so slow Boss? While complaining lots of people recommended to ditch FireFox - use Chrome, yada yada yada. Yeah, Chrome is fast and getting better but I have a number of plug-ins that I use in FF that I can't easily give up. So I suffered and started looking around more closely at what was happening. The first thing I noticed when accessing pages was that I continually saw accesses to the Google CDN downloading jQuery and jQuery UI. UI especially is pretty heavy in size and currently I'm in a location with a fairly slow IP connection where large files are a bit of an issue. However, seeing the CDN urls pop up repeatedly raised a flag with me. That stuff should be caching and it looked like each and every hit was reloading these scripts and various images over and over again. Fired up FireBug and sure enough I saw something like this on a repeated hit to my blog: Those two highlights are jquery and the main CSS file for the site and both are being loaded fully and taking a while to load. However, since this page had been loaded before, these items should be cached and show 304 requests instead of the full HTTP requests returning 200 result codes. In short it looked like FireFox was not caching ANY content at all and constantly reloading all page resources. No wonder things were running dog slow. Once I realized what the problem was I took a look in the about:config settings and lo and behold a bunch of the cache settings were set to not cache: In my case ALL the main cache flags were set to false for some reason that I can't figure out.  It appears that after the FireFox 6 update these flags somehow mysteriously changed and performance took a nose dive. Switching the .enable flags back to true and resetting all the cache settings tote default reverted performance back to the way it's supposed to be: reasonably fast and snappy as soon as content is cached and accessed again  from cache. I try not to muck with the about:config settings much (other than turning off the IPV6 option) but when there are problems access to these features can be really nice. However, I treat this as a last resort so it took me quite some time before I started looking through ALL the settings. This takes a while, not knowing what I was looking for exactly. If Web load performance is slow it's a good idea to check the cache settings. I have no idea what hosed these settings for me - I certainly didn't explicitly set them in about:config and while in FireFox's Options dialog I didn't see any option that would affect global caching like this, so this remains a mystery to me. Anyway, I hope that this is helpful to some, in case some of you end up running into a similar issue.© Rick Strahl, West Wind Technologies, 2005-2011Posted in FireFox   Tweet (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

    Read the article

  • Best in-memory cache of DB objects for Silverlight [closed]

    - by Jon
    Hi, I'd like to set up a cache of database objects (i.e. rows in a table) in memory in silverlight, which I'll do using WCF and linq-to-sql. Once I have the objects in memory, I'm planning on using MSMQ to receive new objects whenever they have been modified. It's a somewhat complex approach but the goal is to reduce trips to the database and allow instant data communication between Silverlight applications that are connected to the MSMQ. My Silverlight applications are meant to be long-running and the amount of data to be cached will not be large. I'm planning on saving the in-memory cache using local storage. Anyway, in order to process the updated objects that come in, I'd like to know if the user has changed the existing object. Could I use some event relating to data-binding to set a flag indicating that the object has changes? Maybe there's a better way to do the cache entirely? Thanks!

    Read the article

  • Pre-Populate the AppFabric Cache

    When I start talking to people about the caching functionality that is part of Windows Server AppFabric I am usually asked "What is the AppFabric Cache?"  The MSDN page at http://msdn.microsoft.com/en-us/library/ee790954.aspx provides a great overview (below) as well as additional information.  The Cache is defined as: "Windows Server AppFabric caching features use a cluster of servers that communicate with each other to form a single, unified application cache system. As a distributed...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • Podcast: Dell Perot Systems Relies on Oracle In-Memory Database Cache

    - by john.brust
    Recently we spoke with Bill Binko, Technology Consultant at Dell Perot Systems, about a high volume web-based content delivery system they implemented for a client with Oracle In-Memory Database Cache. Their client needed to respond to ~1 billion hits (web requests) per day, but hadn't been able to support this load. Oracle In-Memory Database Cache allowed for multiple & complicated queries to take place without ever hitting the disk...providing sub-millisecond response time and ability to manage much higher high volumes of data. Old System: Old SQL Server Database, over 300 servers, difficult to maintain. New System: One Oracle Database 11g instance, multiple Oracle RAC nodes, backed up by Oracle Data Guard, and Oracle In-Memory Database Cache to cut query response times by 10x. Listen to the podcast.

    Read the article

  • Will removing unused query string parameters negatively affect SEO?

    - by trm
    Will changing links to remove query string parameters that are no longer used have any negative impact on search engine rankings? Say I have a page about.php on my site, and all of my links to this page are of the form http://www.example.com/about.php?foo=bar and I've made some changes to the script such that the parameter foo is no longer used. I would like to remove the unused parameter from the links so the URL will look cleaner, but I am concerned that this could cause problems with SEO. Is it safe to remove ?foo=bar from my links?

    Read the article

  • Distributed cache and improvement

    - by philipl
    Have this question from interview: Web Service function given x static HashMap map (singleton created) if (!map.containsKey(x)) { perform some function to retrieve result y map.put(x, y); } return y; The interviewer asked general question such as what is wrong with this distributed cache implementation. Then asked how to improve on it, due to distributed servers will have different cached key pairs in the map. There are simple mistakes to be pointed out about synchronization and key object, but what really startled me was that this guy thinks that moving to database implementation solves the problem that different servers will have different map content, i.e., the situation when value x is not on server A but on server B, therefore redundant data has to be retrieved in server A. Does his thinking make any sense? (As I understand this is the basic cons for distributed cache against database model, seems he does not understand it at all) What is the typical solution for the cache growth issue (weak reference?) and sync issue (do not know which server has the key already cached - use load balancing)? Thanks

    Read the article

< Previous Page | 20 21 22 23 24 25 26 27 28 29 30 31  | Next Page >