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  • Seperation of notification confirmation+storage and handling notification asp.net mvc

    - by bastijn
    After a payment from my web application to a 3rd party the 3rd party sends, next to the direct confirmation message, a notification message. This notification message is stored in my database for future use and I have to send a notification confirmed back. For this purpose I currently use a: return Content("received") Which is standard protocol for the service. Currently, I process the incoming notification by first storing it, than handling it (updating account credits etc in my application) and in the end sending a response. This all works well. But I want to seperate handling the notification and storing+responding to the webservice. The problem is that the "return Content()" is ending my controller method and therefore I cannot simply first send the confirmation message back to the webservice and than call my handle_Notification() method. So the solution would be to replace the return Content() part with something equal which doesn't involve a "return", is this possible, as I do not now the complete URL calling I cannot easily create a simple HTTP POST web request (I tried, might have made an error but did not work). Another solution would be to have some kind of timer or listener which either periodically checks for new notifications in the Database which have to be handled or a listener listening to DB new notifications or something. What is the standard procedure on this, if any?

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  • PHP: optimum configuration storage ?

    - by Jerome WAGNER
    Hello, My application gets configured via a lot of key/values (let's say 30.000 for instance) I want to find the best deployment method for these configurations, knowing that I want to avoid DEFINEs to allow for runtime re-configuration. I have thought of - pre-compiling them into an array via a php file - pre-compiling them into a tmpfs sqlite database - pre-compiling them into a memcached db what are my options for the best random access time to these configuration (memory is not an issue) ? Thanks Jerome

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  • Is SHA-1 secure for password storage?

    - by Tgr
    Some people throw around remarks like "SHA-1 is broken" a lot, so I'm trying to understand what exactly that means. Let's assume I have a database of SHA-1 password hashes, and an attacker whith a state of the art SHA-1 breaking algorithm and a botnet with 100,000 machines gets access to it. (Having control over 100k home computers would mean they can do about 10^15 operations per second.) How much time would they need to find out the password of any one user? find out the password of a given user? find out the password of all users? find a way to log in as one of the users? find a way to log in as a specific user? How does that change if the passwords are salted? Does the method of salting (prefix, postfix, both, or something more complicated like xor-ing) matter? Here is my current understanding, after some googling. Please correct in the answers if I misunderstood something. If there is no salt, a rainbow attack will immediately find all passwords (except extremely long ones). If there is a sufficiently long random salt, the most effective way to find out the passwords is a brute force or dictionary attack. Neither collision nor preimage attacks are any help in finding out the actual password, so cryptographic attacks against SHA-1 are no help here. It doesn't even matter much what algorithm is used - one could even use MD5 or MD4 and the passwords would be just as safe (there is a slight difference because computing a SHA-1 hash is slower). To evaluate how safe "just as safe" is, let's assume that a single sha1 run takes 1000 operations and passwords contain uppercase, lowercase and digits (that is, 60 characters). That means the attacker can test 1015*60*60*24 / 1000 ~= 1017 potential password a day. For a brute force attack, that would mean testing all passwords up to 9 characters in 3 hours, up to 10 characters in a week, up to 11 characters in a year. (It takes 60 times as much for every additional character.) A dictionary attack is much, much faster (even an attacker with a single computer could pull it off in hours), but only finds weak passwords. To log in as a user, the attacker does not need to find out the exact password; it is enough to find a string that results in the same hash. This is called a first preimage attack. As far as I could find, there are no preimage attacks against SHA-1. (A bruteforce attack would take 2160 operations, which means our theoretical attacker would need 1030 years to pull it off. Limits of theoretical possibility are around 260 operations, at which the attack would take a few years.) There are preimage attacks against reduced versions of SHA-1 with negligible effect (for the reduced SHA-1 which uses 44 steps instead of 80, attack time is down from 2160 operations to 2157). There are collision attacks against SHA-1 which are well within theoretical possibility (the best I found brings the time down from 280 to 252), but those are useless against password hashes, even without salting. In short, storing passwords with SHA-1 seems perfectly safe. Did I miss something?

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  • SHAREPOINT: Custom Field type property storage defined for custom field

    - by Eric Rockenbach
    ok here is a great question. I have a set of generic custom fields that are highly configurable from an end user perspective and the configuration is getting overbearing as there are nearly 100 plus items each custom field allows you to perform in the areas of Server/Client Validation, Server/Client Events/Actions, Server/Client Bindings parent/child, display properties for form/control, etc, etc. Right now I'm storing most of these values as "Text" in my field xml for my propertyschema. I'm very familiar with the multi column value, but this is not a complex custom type in sense it's an array. I also considered creating serilzable objects and stuffing them into the text field and then pulling out and de-serilizing them when editing through the field editor or acting on the rules through the custom spfield. So I'm trying to take the following for example <PropertySchema> <Fields> <Field Name="EntityColumnName" Hidden="TRUE" DisplayName="EntityColumnName" MaxLength="500" DisplaySize="200" Type="Text"> <default></default> </Field> <Field Name="EntityColumnParentPK" Hidden="TRUE" DisplayName="EntityColumnParentPK" MaxLength="500" DisplaySize="200" Type="Text"> <default></default> </Field> <Field Name="EntityColumnValueName" Hidden="TRUE" DisplayName="EntityColumnValueName" MaxLength="500" DisplaySize="200" Type="Text"> <default></default> </Field> <Field Name="EntityListName" Hidden="TRUE" DisplayName="EntityListName" MaxLength="500" DisplaySize="200" Type="Text"> <default></default> </Field> <Field Name="EntitySiteUrl" Hidden="TRUE" DisplayName="EntitySiteUrl" MaxLength="500" DisplaySize="200" Type="Text"> <default></default> </Field> </Fields> <PropertySchema> And turn it into this... <PropertySchema> <Fields> <Field Name="ServerValidationRules" Hidden="TRUE" DisplayName="ServerValidationRules" Type="ServerValidationRulesType"> <default></default> </Field> </Fields> <PropertySchema> Ideas?????

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  • How do I design the file storage issue?

    - by user102533
    I am working on an application that creates video files and stores them in a folder in the C:\ drive. I speculate that there will be a large number of these files in the future and we would run out of disk space at some point of time (on our VPS). When the time comes that we have to upgrade, we either plan to use one of the Cloud providers to store files or our existing provider can add another disk (say D:\ drive). Either way, I would want to design the app now in a way that in future, moving to different locations would not be an issue and would be transparent to the end user. The code that creates these files supports 2 ways: myObj.SetOutputToDisk(<path to store>); or myObj.SetOutputToMemoryStream(ms); If we go with the Cloud architecture, I assume we might have the following combination: Cloud Files + Existing VPS or Cloud Files + Cloud Windows Server Given the unknowns at this time, how would I go about designing this?

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  • Anyone using NoSQL databases for medical record storage?

    - by Brian Bay
    Electronic Medical records are composed of different types of data. Visit information ( date/location/insurance info) seems to lend itself to a RDMS. Other types of medical infomation, such as lab reports, x-rays, photos, and electronic signatures, are document based and would seem to be a good candidate for a 'document-oriented' database, such as MongoDB. Traditionally, binary data would be stored as a BLOB in a RDBMS. A hybrid approach using a traditional RDBMS along with a 'document-oriented' database would seem like good alternative to this. Other alternative would be something like DB2 purexml. The ultimate answer could be that 'it depends', but I really just wanted to get some general feedback/ideas on this. Is anyone using the NoSql approach for medical records?

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  • Uncompress OpenOffice files for better storage in version control

    - by Craig McQueen
    I've heard discussion about how OpenOffice (ODF) files are compressed zip files of XML and other data. So making a tiny change to the file can potentially totally change the data, so delta compression doesn't work well in version control systems. I've done basic testing on an OpenOffice file, unzipping it and then rezipping it with zero compression. I used the Linux zip utility for my testing. OpenOffice will still happily open it. So I'm wondering if it's worth developing a small utility to run on ODF files each time just before I commit to version control. Any thoughts on this idea? Possible better alternatives? Secondly, what would be a good and robust way to implement this little utility? Bash shell that calls zip (probably Linux only)? Python? Any gotchas you can think of? Obviously I don't want to accidentally mangle a file, and there are several ways that could happen. Possible gotchas I can think of: Insufficient disk space Some other permissions issue that prevents writing the file or temporary files ODF document is encrypted (probably should just leave these alone; the encryption probably also causes large file changes and thus prevents efficient delta compression)

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  • Retrieve binary data from S3 storage through AWS.NET in C#

    - by BerggreenDK
    I've tested most of the included samples in the AWS SDK for .NET and they all works fine. I can PUT objects, LIST objects and DELETE objects in a bucket, but... lets say I delete the original and want to sync those files missing locally? I would like to make a GET object (by key/name and bucket ofcause). I can find the object, but how do I read the binary data from S3 through the API? Do I have to write my own SOAP wrapper for this or is there some kinda sample for this out "here" ? :o) In hope of a sample. It does not have to tollerate execeptions etc. I just need to see the main parts that connects, retreives and stores the file back on my ASP.net or C# project. Anyone???

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  • What is the best way to format a date in JSON for Mongo DB storage

    - by Poul
    I have a date with a time. I'm using ruby, but the language shouldn't matter. d = "2010-04-01 13:00:00" What is the best way to format this date for Mongo DB? By 'best' I mean, is there a certain format I could use where Mongo would recognize it as a date and might give me more-advanced filtering optons? ie: If formatted correctly, could I ask Mongo to return all records whose month is '04'? Thanks!

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  • Storage of events in Calendar application in Android 2.1

    - by Navin
    Does the calendar application in Android maintain a cache of its database? Whenever I edit and mark some events via the calendar app, it is stored in the database but if I edit the calendar.db from some outside source the changes made are not reflected in the calendar app. So my question is: Does the calendar app maintain a cache or some other form of database? If yes then where and how?

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  • Do any clouds support SSD storage?

    - by taw
    I'm using Amazon cloud right now, and the biggest performance issue is horrible I/O performance. As long as something fits RAM it's fine - once it's too big it gets ridiculously slow (in many different scenarios). There are only so many ways one can avoid hitting disk - so the question is - does Amazon or some other cloud provide SSD option?

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  • Convert a Delphi example using TDatabase and local paradox table to server storage

    - by Brian Frost
    I am looking at the Developer Express Quantum Grid example 'IssueList' which is a useful bug reporting and tracking application that's almost ready to go out of the box. It uses a TDatabase component with several paradox (.db) tables. Is it simple to rejig the TDatabase settings to use a database on a shared machine so that several of us can access it together across the network? If so, what would be the steps needed please?

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  • Mysql Text Storage?

    - by mii
    I was wondering if you where to have an article or articles with huge amounts of text, what would be better when creating the database structure for the articles text? And why? What will be the advantages or disadvantages if any?. I was thinking of using one of the data types below to hold the articles text for the MySQL database. VARCHAR TEXT MEDIUMTEXT LONGTEXT

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  • Simple File-based Record Storage with Fast Text Searching for Compact Framework and Silverlight

    - by Eric Farr
    I have a single table with lots of records ( 100k) that I need to be able to index and search on several text fields. The easiest searches will have the first part of the string specified (eg, LIKE 'ABC%' in SQL). The tougher searches will need to search for any substring within the text fields (eg, LIKE '%ABC%' in SQL). I need to run on the Compact Framework. SQL Compact is a memory hog and overkill for my one table. Besides, I'd like to be able to run on Silverlight 4 eventually. The file and indexes can be generated on the full .NET Framework and I only need read capability on the Compact Framework. My records are not especially large and can be expressed in fix length format. I'm looking for some existing code or libraries to avoid having to write a file-based BTree implementation from scratch.

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  • Confused with the Isolated Storage with Multiple Assemblies Access

    - by Peter Lee
    I googled and searched a lot, but I got no luck. I have a WindowsFormsApplication.exe and ConsoleApplication.exe. I want both of them to access to the same IsolatedStorage, is it possible? I tried using this in ConsoleApplication.exe: IsolatedStorageFile isoStore = IsolatedStorageFile.GetMachineStoreForApplication(); but I got: IsolatedStorageException: Unable to determine application identity of the caller. How can I fix this? Or can I use this way? P.S.: This is NOT a ClickOnce app.

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  • File Storage for Web Applications: Filesystem vs DB vs NoSQL engines

    - by El Yobo
    I have a web application that stores a lot of user generated files. Currently these are all stored on the server filesystem, which has several downsides for me. When we move "folders" (as defined by our application) we also have to move the files on disk (although this is more due to strange design decisions on the part of the original developers than a requirement of storing things on the filesystem). It's hard to write tests for file system actions; I have a mock filesystem class that logs actions like move, delete etc, without performing them, which more or less does the job, but I don't have 100% confidence in the tests. I will be adding some other jobs which need to access the files from other service to perform additional tasks (e.g. indexing in Solr, generating thumbnails, movie format conversion), so I need to get at the files remotely. Doing this over network shares seems dodgy... Dealing with permissions on the filesystem as sometimes given us problems in the past, although now that we've moved to a pure Linux environment this should be less of an issue. What are the downsides of storing files as BLOBs in MySQL? I guess that it would massively increase the database size and reduce the effectiveness of caches, but are there other problems? Do the same problems exist with NoSQL systems like Cassandra? Does anyone have any other suggestions that might be appropriate?

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  • MySQL: Storage of multiple text fields for a record

    - by Tom
    An inexperienced question: I need to store about 10 unknown-length text fields per record into a MySQL table. I expect no more than 50K rows in total for this table but speed is important. The database actions will be solely SELECTs for all practical purposes. I'm using InnoDB. In other words: id | text1 | text2 | text3 | .... | text10 As I understand that MySQL will store the text elsewhere and use its own indicators on the table itself, I'm wondering whether there's any fundamental performance implications that I should be worrying about given the way the data is stored? (i.e. several "sub-fetches" from the table). Thank you.

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  • Password hashing, salt and storage of hashed values

    - by Jonathan Leffler
    Suppose you were at liberty to decide how hashed passwords were to be stored in a DBMS. Are there obvious weaknesses in a scheme like this one? To create the hash value stored in the DBMS, take: A value that is unique to the DBMS server instance as part of the salt, And the username as a second part of the salt, And create the concatenation of the salt with the actual password, And hash the whole string using the SHA-256 algorithm, And store the result in the DBMS. This would mean that anyone wanting to come up with a collision should have to do the work separately for each user name and each DBMS server instance separately. I'd plan to keep the actual hash mechanism somewhat flexible to allow for the use of the new NIST standard hash algorithm (SHA-3) that is still being worked on. The 'value that is unique to the DBMS server instance' need not be secret - though it wouldn't be divulged casually. The intention is to ensure that if someone uses the same password in different DBMS server instances, the recorded hashes would be different. Likewise, the user name would not be secret - just the password proper. Would there be any advantage to having the password first and the user name and 'unique value' second, or any other permutation of the three sources of data? Or what about interleaving the strings? Do I need to add (and record) a random salt value (per password) as well as the information above? (Advantage: the user can re-use a password and still, probably, get a different hash recorded in the database. Disadvantage: the salt has to be recorded. I suspect the advantage considerably outweighs the disadvantage.) There are quite a lot of related SO questions - this list is unlikely to be comprehensive: Encrypting/Hashing plain text passwords in database Secure hash and salt for PHP passwords The necessity of hiding the salt for a hash Clients-side MD5 hash with time salt Simple password encryption Salt generation and Open Source software I think that the answers to these questions support my algorithm (though if you simply use a random salt, then the 'unique value per server' and username components are less important).

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  • Storage location of yellow-blue shield icon

    - by gencha
    Where, in Windows, is this icon stored? I need to use it in a TaskDialog emulation for XP and am having a hard time tracking it down. It's not in shell32.dll, explorer.exe, ieframe.dll or wmploc.dll (as these contain a lot of icons commonly used in Windows).

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