Are flat file databases any good? [closed] - java

Closed. This question is opinion-based. It is not currently accepting answers.
Want to improve this question? Update the question so it can be answered with facts and citations by editing this post.
Closed 6 years ago.
Improve this question
Informed options needed about the merits of flat file database. I'm considering using a flat file database scheme to manage data for a custom blog. It would be deployed on Linux OS variant and written in Java.
What are the possible negatives or positives regarding performance for reading and writing of both articles and comments?
Would article retrieval crap out because of it being a flat file rather than a RDBMS if it were to get slash-doted? (Wishful thinking)
I'm not against using a RDBMS, just asking the community their opinion on the viability of such a software architecture scheme.
Follow Up:
In the case of this question I would see “Flat file == file system–based” For example each blog entry and its accompanying metadata would be in a single file. Making for many files organized by date structure of the file folders (blogs\testblog2\2008\12\01) == 12/01/2008

Flat file databases have their place and are quite workable for the right domain.
Mail servers and NNTP servers of the past really pushed the limits of how far you can really take these things (which is actually quite far -- files systems can have millions of files and directories).
Flat file DBs two biggest weaknesses are indexing and atomic updates, but if the domain is suitable these may not be an issue.
But you can, for example, with proper locking, do an "atomic" index update using basic file system commands, at least on Unix.
A simple case is having the indexing process running through the data to create the new index file under a temporary name. Then, when you are done, you simply rename (either the system call rename(2) or the shell mv command) the old file over the new file. Rename and mv are atomic operations on a Unix system (i.e. it either works or it doesn't and there's never a missing "in between state").
Same with creating new entries. Basically write the file fully to a temp file, then rename or mv it in to its final place. Then you never have an "intermediate" file in the "DB". Otherwise, you might have a race condition (such as a process reading a file that is still being written, and may get to the end before the writing process is complete -- ugly race condition).
If your primary indexing works well with directory names, then that works just fine. You can use a hashing scheme, for example, to create directories and subdirectories to locate new files.
Finding a file using the file name and directory structure is very fast as most filesystems today index their directories.
If you're putting a million files in a directory, there may well be tuning issues you'll want to look in to, but out of that box most will handle 10's of thousands easily. Just remember that if you need to SCAN the directory, there's going to be a lot of files to scan. Partitioning via directories helps prevent that.
But that all depends on your indexing and searching techniques.
Effectively, a stock off the shelf web server serving up static content is a large, flat file database, and the model works pretty good.
Finally, of course, you have the plethora of free Unix file system level tools at your disposal, but all them have issues with zillions of files (forking grep 1000000 times to find something in a file will have performance tradeoffs -- the overhead simply adds up).
If all of your files are on the same file system, then hard links also give you options (since they, too, are atomic) in terms of putting the same file in different places (basically for indexing).
For example, you could have a "today" directory, a "yesterday" directory, a "java" directory, and the actual message directory.
So, a post could be linked in the "today" directory, the "java" directory (because the post is tagged with "java", say), and in its final place (say /articles/2008/12/01/my_java_post.txt). Then, at midnight, you run two processes. The first one takes all files in the "today" directory, checks their create date to make sure they're not "today" (since the process can take several seconds and a new file might sneak in), and renames those files to "yesterday". Next, you do the same thing for the "yesterday" directory, only here you simply delete them if they're out of date.
Meanwhile, the file is still in the "java" and the ".../12/01" directory. Since you're using a Unix file system, and hard links, the "file" only exists once, these are all just pointers to the file. None of them are "the" file, they're all the same.
You can see that while each individual file move is atomic, the bulk is not. For example, while the "today" script is running, the "yesterday" directory can well contain files from both "yesterday" and "the day before" because the "yesterday" script had not yet run.
In a transactional DB, you would do that all at once.
But, simply, it is a tried and true method. Unix, in particular, works VERY well with that idiom, and the modern file systems can support it quite well as well.

(answer copied and modified from here)
I would advise against using a flat file for anything besides read-only access, because then you'd have to deal with concurrency issues like making sure only one process is writing to the file at once. Instead, I recommend SQLite, a fully functional SQL database that's stored in a file. SQLite already has built-in concurrency, so you don't have to worry about things like file locking, and it's really fast for reads.
If, however, you are doing lots of database changes, it's best to do them all at once inside a transaction. This will only write the changes to the file once, as opposed to every time an change query is issued. This dramatically increases the speed of doing multiple changes.
When a change query is issued, whether it's inside a tranasction or not, the whole database is locked until that query finishes. This means that extremely large transactions could adversely affect the performance of other processes because they must wait for the transaction to finish before they can access the database. In practice, I haven't found this to be that noticeable, but it's always good practice to try to minimize the number of database modifying queries you issue, and it's certainly faster then trying to use a flat file.

This has been done with asp.net with Dasblog. It uses file based storage.
A few details are listed on this older link.
http://www.hanselman.com/blog/UpcomingDasBlog19.aspx
You can also get more details on http://dasblog.info/Features.aspx
I've heard some mixed opinions on the performance. I'd suggest you research that a bit more to see if that type of system would work well for you. This is the closest thing I have heard about yet.

Writing your own engine in native code can outperform a general purpose database.
However, the quality of the engine and the feature level will never approach that. All the things that databases give you as core features - indexing, transactions, referential integrity - you would have to implement all them yourself.
There's nothing wrong than reinventing the wheel (after all, Linux was just that), but keep in mind your expectations and time commitment.

I'm answering this not to answer why flat file databases are good or bad, others have done an ample job at that.
However, some have been pointing at SQLite which does it's job just fine. Since you are using Java, your best option would be to use HSQLDB, which does precisely the same as SQLite, but is implemented in Java and embeds into your application.

Most of the time a flat file database is enough now. But you will thank your younger self if you start your project with a database. This could be SQLite, if you don't want to set up a whole database system like PostgreSQL.

Check this out http://jsondb.io a opensource Java based database has most of what you are looking for.
Saves data as flat .json files, Multithreading Support, Encryption Support, ORM support, Atomicity Support, XPATH based advanced query support.
Disclaimer: I created this database.

Horrible idea. Appending would involve seeking to the end of the file every time you want to add something. Updating would require rewriting the entire file each time. Reading involves a table scan (or maintaining a separate index, which would have the same problems with writing/updating). Just use a database unless, of course, you re-implement all the stuff that an RDBMS already provides to make your solution even moderately scalable.

They seem to work quite well for high-write, low-read, no-update databases, where new data is appended.
Web servers and their cousins rely on them heavily for log files.
DBMS software as well use them for logs.
If your design falls within these limits, you're in good company, it seems. You might want to keep metadata and pointers in a database, and set up some kind of fast asynchronous queue-writer to buffer the comments, but the filesystem is already pretty good at that level of buffering and write-locking.

Flat file databases are possible but consider the following.
Databases need to attain all the ACID elements (atomicity, consistency, isolation, durability) and, if you're going to ensure that's all done in a flat file (especially with concurrent access), you've basically written a full-blown DBMS.
So why not use a full-blown DBMS in the first place?
You'll save yourself the time and money involved with writing (and re-writing many times, I'll guarantee) if you just go with one of the free options (SQLite, MySQL, PostgresSQL, and so on).

You can use fiat file databases if it is small enough does not have lost of random access. Big file with lot of random access will be very slow. And no complex queries. No joins, no sum, group by etc. You also can not expect to fetch hierarchical data from flat file. XML format is much better for complex structures.

Related

Ways to store small files in Hadoop HDFS other than HAR or Sequence Files + doubts about them

I have read lots of blog entries and articles about the "Small Files problem in hadoop", but a lot of them simply seem to be a copy-paste of the previous. Furthermore they all seem a little bit dated, and the last ones (2015ish) describe anyway what this cloudera blog did in the early 2009.
Does this mean no archiving solution has been found in 6 years?
Here is the reason of my research: I need to move and catalogue files as they come, in different numbers, sometimes even singlely, and then store them in HDFS.
These files will be later be accessed and returned in a web service layer (must be fast), to be opened and seen by people or softwares.
The files may be videos, images, documents, whatever and need to be accessed later using an ID I produce with the Java class UUID.
The choice to use hdfs is completey personal of my PM, as I've proposed HBase to compensate the lack of indexing in HDFS (although I'm not sure it is an optimal solution), but he has asked me to look anyway outisde of HBase in case of having to deal with bigger files (so far the biggest among 1000 has been 2MB, but we expect 1Gb videos).
As far as I have understood, the small files problem happen when you use MapReduce jobs, for memory consumption, but I was wondering:
Does it really matter how many files are there in HDFS if I am using Spark to extract them? Or if I am using webhdfs/v1/ ? Or Java?
Talking about storing a group of small files, so far I've found three main solutions, all of which are quite inconvenient in production environment:
HAR: looks fantastic with the indexed file extraction, but the fact that I cannot append or add new files is quite troublesome. Does the opening and recreation of HARs weigh a lot on the system?
Sequence Files have the opposite pros and cons: you can append files, but they're not indexed, so there is a O(n) look-up time. Is it worth it?
Merge them: impossible to do in my case.
Is there some new technology I'm missing out regarding this common problem? Something on the lines of Avro or Parquet for files?
Here some feedback to your solutions:
a) HAR is not appendable. You can unarchive and archive your har archive with the new files via HDFS command line interface. Both methods are implemented as MapReduce job, so execution time depends on your compute cluster as well as size of your archive files. Me and my colleague use and developed AHAR. A tool that allows you to append data more efficiency without rewriting the whole archive.
b) As far as I know, you are right with a high index look-up time. But note, with HAR you also have a higher look-up time due to a two step indexing strategy.
This post gives you are very good overview about the small file problem and possible solutions. Maybe you can "just" increase the memory at the NameNode.

java - write two files atomically

I am facing a problem for which I don't have a clean solution. I am writing a Java application and the application stores certain data in a limited set of files. We are not using any database, just plain files. Due to some user-triggered action, certain files needs to be changed. I need this to be a all-or-nothing operation. That is, either all files are updated, or none of them. It is disastrous if for example 2 of the 5 files are changed, while the other 3 are not due to some IOException.
What is the best strategy to accomplish this?
Is embedding an in-memory database, such as hsqldb, a good reason to get this kind of atomicity/transactional behavior?
Thanks a lot!
A safe approach IMO is:
Backup
Maintain a list of processed files
On exception, restore the ones that have been processed with the backed up one.
It depends on how heavy it is going to be and the limits for time and such.
What is the best strategy to accomplish this? Is embedding an in-memory database, such as hsqldb, a good reason to get this kind of atomicity/transactional behavior?
Yes. If you want transactional behavior, use a well-tested system that was designed with that in mind instead of trying to roll your own on top of an unreliable substrate.
File systems do not, in general, support transactions involving multiple files.
Non-Windows file-systems and NTFS tend to have the property that you can do atomic file replacement, so if you can't use a database and
all of the files are under one reasonably small directory
which your application owns and
which is stored on one physical drive:
then you could do the following:
Copy the directory contents using hard-links as appropriate.
Modify the 5 files.
Atomically swap the modified copy of the directory with the original
Ive used the apache commons transactions library for atomic file operations with success. This allows you to modify files transactionally and potentially roll back on failures.
Here's a link: http://commons.apache.org/transaction/
My approach would be to use a lock, in your java code. So only one process could write some file at each time. I'm assuming your application is the only which writes the files.
If even so some write problem occurs to "rollback" your files you need to save a copy of files like upper suggested.
Can't you lock all the files and only write to them once all files have been locked?

Practical: deployment of application with .sql files

I am developing an application that will make heavy use of .sql files. While I am just at the beginning of development, I want to make sure I am going in the right direction to avoid re-coding later. Much like java source code is not meant for the end user to be seen, neither are .sql files and commands. My main goal is to hide them from the end user. My approach is as follows, and I am seeking alternative approaches and suggestions:
Write a small program that loops through all .sql files in a directory and stores the contents into a java.util.map using bufferedInputStream. The Map will be constructed with = new HashMap(, ). (I believe this is correct syntax). The key will be the .sql file name and value will be the .sql file contents. Then, serialize the Map object into a single file (say "SQLBin.bin") using ObjectOutputStream. Place the SQLBin.bin file into the resources folder of the main project and then use .getResourceAsStream() to access it and recreate a Map object in the main application. This will then allow me to access the SQL commands by simply referring to the .sql file by name in the Map object.
PS: I am relatively new to java. So please be extra clear.
You have an interesting technique; however, it is not clear what problem you intend to solve.
If you want to hide the SQL from the end user, you don't need to do all of this; just embed the SQL into a statement "string array" in a class and be done with it. But even such a solution might not be desirable depending on the true problem you are attempting to solve.
Also, some places really want to look at your SQL, because a database server isn't like a JVM. Your SQL can impact the correct operation of other mission critical programs. SQL servers may require manual configuration to grant you access. SQL servers may be monitored 24 / 7 for conditions that lead to excessive memory consumption or excessive use of CPU cycles. Professionals might rewrite your statements or tune the server to better accommodate unforeseen issues.
With a JVM the resource is less of a shared resource, and thus there's less potential for damage, in the worst case, you kill the offending JVM process, which rarely impacts the other processes that weren't explicitly written to integrate with yours.

How to efficiently manage files on a filesystem in Java?

I am creating a few JAX-WS endpoints, for which I want to save the received and sent messages for later inspection. To do this, I am planning to save the messages (XML files) into filesystem, in some sensible hierarchy. There will be hundreds, even thousands of files per day. I also need to store metadata for each file.
I am considering to put the metadata (just a couple of fields) into database table, but the XML file content itself into files in a filesystem in order not to bloat the database with content data (that is seldomly read).
Is there some simple library that helps me in saving, loading, deleting etc. the files? It's not that tricky to implement it myself, but I wonder if there are existing solutions? Just a simple library that already provides easy access to filesystem (preferrably over different operating systems).
Or do I even need that, should I just go with raw/custom Java?
Is there some simple library that
helps me in saving, loading, deleting
etc. the files? It's not that tricky
to implement it myself, but I wonder
if there are existing solutions? Just
a simple library that already provides
easy access to filesystem (preferrably
over different operating systems).
Java API
Well, if what you need to do is really simple, you should be able to achieve your goal with java.io.File (delete, check existence, read, write, etc.) and a few stream manipulations with FileInputStream and FileOutputStream.
You can also throw in Apache commons-io and its handy FileUtils for a few more utility functions.
Java is independent of the OS. You just need to make sure you use File.pathSeparator, or use the constructor File(File parent, String child) so that you don't need to explicitly mention the separator.
The Java file API is relatively high-level to abstract the differences of the many OS. Most of the time it's sufficient. It has some shortcomings only if you need some relatively OS-specific feature which is not in the API, e.g. check the physical size of a file on the disk (not the the logical size), security rights on *nix, free space/quota of the hard drive, etc.
Most OS have an internal buffer for file writing/reading. Using FileOutputStream.write and FileOutputStream.flush ensure the data have been sent to the OS, but not necessary written on the disk. The Java API support also this low-level integration to manage these buffering issue (example here) for system such as database.
Also both file and directory are abstracted with File and you need to check with isDirectory. This can be confusing, for instance if you have one file x, and one directory /x (I don't remember exactly how to handle this issue, but there is a way).
Web service
The web service can use either xs:base64Binary to pass the data, or use MTOM (Message Transmission Optimization Mechanism) if files are large.
Transactions
Note that the database is transactional and the file system not. So you might have to add a few checks if operations fails and are re-tried.
You could go with a complicated design involving some form of distributed transaction (see this answer), or try to go with a simpler design that provides the level of robustness that you need. A possible design could be:
Update. If the user wants to overwrite a file, you actually create a new one. The level of indirection between the logical file name and the physical file is stored in database. This way you never overwrite a physical file once written, to ensure rollback is consistent.
Create. Same story when user want to create a file
Delete. If the user want to delete a file, you do it only in database first. A periodic job polls the file system to identify files which are not listed in database, and removes them. This two-phase deletes ensures that the delete operation can be rolled back.
This is not as robust as writting BLOB in real transactional database, but provide some robustness. You could otherwise have a look at commons-transaction, but I feel like the project is dead (2007).
There is DataNucleus, a Java persistence provider. It is little too heavy for this case, but it supports JPA and JDO java standards with different datastores (RDBMS, object storage, XML, JSON, Excel, etc.). If the product is already using JPA or JDO, it might be worth considering using NataNucleus, as saving data into different datastores should be transparent. I suppose DataNucleus supports splitting the data into several files, creating the sensible directory/file structure I wanted (in my question), but this is just a guess.
Support for XML and JSON seems to be experimental.

Application configuration files [closed]

Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 6 years ago.
Improve this question
OK, so I don't want to start a holy-war here, but we're in the process of trying to consolidate the way we handle our application configuration files and we're struggling to make a decision on the best approach to take. At the moment, every application we distribute is using it's own ad-hoc configuration files, whether it's property files (ini style), XML or JSON (internal use only at the moment!).
Most of our code is Java at the moment, so we've been looking at Apache Commons Config, but we've found it to be quite verbose. We've also looked at XMLBeans, but it seems like a lot of faffing around. I also feel as though I'm being pushed towards XML as a format, but my clients and colleagues are apprehensive about trying something else. I can understand it from the client's perspective, everybody's heard of XML, but at the end of the day, shouldn't be using the right tool for the job?
What formats and libraries are people using in production systems these days, is anyone else trying to avoid the angle bracket tax?
Edit: really needs to be a cross platform solution: Linux, Windows, Solaris etc. and the choice of library used to interface with configuration files is just as important as the choice of format.
YAML, for the simple reason that it makes for very readable configuration files compared to XML.
XML:
<user id="babooey" on="cpu1">
<firstname>Bob</firstname>
<lastname>Abooey</lastname>
<department>adv</department>
<cell>555-1212</cell>
<address password="xxxx">ahunter#example1.com</address>
<address password="xxxx">babooey#example2.com</address>
</user>
YAML:
babooey:
computer : cpu1
firstname: Bob
lastname: Abooey
cell: 555-1212
addresses:
- address: babooey#example1.com
password: xxxx
- address: babooey#example2.com
password: xxxx
The examples were taken from this page: http://www.kuro5hin.org/story/2004/10/29/14225/062
First: This is a really big debate issue, not a quick Q+A.
My favourite right now is to simply include Lua, because
I can permit things like width=height*(1+1/3)
I can make custom functions available
I can forbid anything else. (impossible in, for instance, Python (including pickles.))
I'll probably want a scripting language somewhere else in the project anyway.
Another option, if there's a lot of data is to use sqlite3, because they're right to claim
Small.
Fast.
Reliable.
Choose any three.
To which I would like to add:
backups are a snap. (just copy the db file.)
easier to switch to another db, ODBC, whatever. (than it is from fugly-file)
But again, this is a bigger issue. A "big" answer to this probably involves some kind of feature matrix or list of situations like:
Amount of data, or short runtime
For large amounts of data, you might want efficient storage, like a db.
For short runs (often), you might want something that you don't need to do a lot of parsing for, consider something that can be mmap:ed in directly.
What does the configuration relate to?
Host:
I like YAML in /etc. Is that reimplemented in windows?
User:
Do you permit users to edit config with text editor?
Should it be centrally manageable? Registry / gconf / remote db?
May the user have several different profiles?
Project:
File(s) in project directory? (Version control usually follows this model...)
Complexity
Are there only a few flat values? Consider YAML.
Is the data nested, or dependent in some way? (This is where it gets interesting.)
Might it be a desirable feature to permit some form of scripting?
Templates can be viewed as a kind of configuration files..
XML XML XML XML. We're talking config files here. There is no "angle bracket tax" if you're not serializing objects in a performance-intense situation.
Config files must be human readable and human understandable, in addition to machine readable. XML is a good compromise between the two.
If your shop has people that are afraid of that new-fangled XML technology, I feel bad for you.
Without starting a new holy war, the sentiments of the 'angle bracket tax' post is one area where I majorly disagree with Jeff. There's nothing wrong with XML, it's reasonably human readable (as much as YAML or JSON or INI files are) but remember its intent is to be read by machines. Most language/framework combos come with an XML parser of some sort for free which makes XML a pretty good choice.
Also, if you're using a good IDE like Visual Studio, and if the XML comes with a schema, you can give the schema to VS and magically you get intellisense (you can get one for NHibernate for example).
Ulimately you need to think about how often you're going to be touching these files once in production, probably not that often.
This still says it all for me about XML and why it's still a valid choice for config files (from Tim Bray):
"If you want to provide general-purpose data that the receiver might want to do unforeseen weird and crazy things with, or if you want to be really paranoid and picky about i18n, or if what you’re sending is more like a document than a struct, or if the order of the data matters, or if the data is potentially long-lived (as in, more than seconds) XML is the way to go.
It also seems to me that the combination of XML and XPath hits a sweet spot for data formats that need to be extensible; that is to say, it’s pretty easy to write XML-processing code that won’t fail in the presence of changes to the message format that don’t touch the piece you care about."
#Guy
But application config isn't always just key/value pairs. Look at something like the tomcat configuration for what ports it listens on. Here's an example:
<Connector port="80" maxHttpHeaderSize="8192"
maxThreads="150" minSpareThreads="25" maxSpareThreads="75"
enableLookups="false" redirectPort="8443" acceptCount="100"
connectionTimeout="20000" disableUploadTimeout="true" />
<Connector port="8009"
enableLookups="false" redirectPort="8443" protocol="AJP/1.3" />
You can have any number of connectors. Define more in the file and more connectors exist. Don't define any more and no more exist. There's no good way (imho) to do that with plain old key/value pairs.
If your app's config is simple, then something simple like an INI file that's read into a dictionary is probably fine. But for something more complex like server configuration, an INI file would be a huge pain to maintain, and something more structural like XML or YAML would be better. It all depends on the problem set.
We are using ini style config files. We use the Nini library to manage them. Nini makes it very easy to use. Nini was orignally for .NET but it has been ported to other platforms using Mono.
XML, JSON, INI.
They all have their strengths and weaknesses.
In an application context, I feel that the abstraction layer is the important thing.
If you can choose a way to structure the data that is a good middle ground between human readability and how you want to access/abstract the data in code, you're golden.
We mostly use XML where I work, and I cant really believe that a configuration file loaded into a cache as objects when first read or after it has been written to, and then abstracted away from the rest of the program, really is that much of a hit on neither CPU nor disk space.
And it is pretty readable too, as long as you structure the file right.
And all languages on all platforms supports XML through some pretty common libraries.
#Herms
What I really meant was to stick to the recommended way software should store configuration values for any given platform.
What you often get then is also the recommended ways these should/can be modified. Like a configuration menu in a program or a configuration panel in a "system prefs" application (for system services softwares ie). Not letting the end users modify them directly via RegEdit or NotePad...
Why?
The end users (=customers) are used to their platforms
System for backups can better save "safe setups" etc
#ninesided
About " choice of library ", try to link in (static link) any selected library to lower the risk of getting into a version-conflict-war on end users machines.
If your configuration file is write-once, read-only-at-bootup, and your data is a bunch of name value pairs, your best choice is the one your developer can get working first.
If your data is a bit more complicated, with nesting etc, you are probably better off with YAML, XML, or SQLite.
If you need nested data and/or the ability to query the configuration data after bootup, use XML or SQLite. Both have pretty good query languages (XPATH and SQL) for structured/nested data.
If your configuration data is highly normalized (e.g. 5th normal form) you are better off with SQLite because SQL is better for dealing with highly normalized data.
If you are planning to write to the configuration data set during program operation, then you are better off going with SQLite. For example, if you are downloading configuration data from another computer, or if you are basing future program execution decisions on data collected in previous program execution. SQLite implements a very robust data storage engine that is extremely difficult to corrupt when you have power outages or programs that are hung in an inconsistent state due to errors. Corruptible data leads to high field support costs, and SQLite will do much better than any home-grown solution or even popular libraries around XML or YAML.
Check out my page for more information on SQLite.
As far as I know, the Windows registry is no longer the preferred way of storing configuration if you are using .NET - most applications now make use of System.Configuration [1, 2]. Since this is also XML based it seems to be that everything is moving in the direction of using XML for configuration.
If you want to stay cross-platform I would say that using some sort of a text file would be the best route to go. As for the formatting of said file, you might want to take into account if a human is going to be manipulating it or not. XML seems to be a bit more friendly to manual manipulation than INI files due to the visible structure of the file.
As for the angle bracket tax - I don't worry about it too often as the XML libraries take care of abstracting it. The only time it might be a consideration is if you have very little storage space to work with and every byte counts.
[1] System.Configuration Namespace - http://msdn.microsoft.com/en-us/library/system.configuration.aspx
[2] Using Application Configuration Files in .NET - http://www.developer.com/net/net/article.php/3396111
We are using properties files, simply because Java supports them natively. A couple of months ago I saw that SpringSource Application Platform uses JSON to configure their server and it looks very interesting. I compared various configuration notations and came to the conclusion that XML seems to be the best fit at the moment. It has nice tools support and is rather platform independent.
Re: epatel's comment
I think the original question was asking about application configuration that an admin would be doing, not just storing user preferences. The suggestions you gave seem more for user prefs than application config, and aren't usually something that the user would ever deal with directly (the app should provide the configuration options in the UI, and then update the files). I really hope you'd never make the user have to view/edit the Registry. :)
As for the actual question, I'd say XML is probably OK, as plenty of people will be used to using that for configuration. As long as you organize the configuration values in an easy to use manner then the "angle bracket tax" shouldn't be too bad.
Maybe a bit of a tangent here but my opinion is that the config file should be read into a key value dictionary/hash table when the app first starts up and always accessed via this object from then on for speed. Typically the key/value table starts off as string to string but helper functions in the object do things such DateTime GetConfigDate(string key) etc...
I think the only important thing is to choose a format that you prefer and can navigate quickly. XML and JSON are both fine formats for configs and are widely supported--technical implementation isn't at the crux of the issue, methinks. It's 100% about what makes the task of config files easier for you.
I have started using JSON, because I work quite a bit with it as a data transport format, and the serializers make it easy to load into any development framework. I find JSON easier to read than XML, which makes handling multiple services, each using a config file that is modified quite frequently, that much easer for me!
What platform are you working on? I'd recommend trying to use the preferred/common method for it.
MacOSX - plists
Win32 - Registry (or are there a new one here, long since I developed on it)
Linux/Unix - ~/.apprc (name-value perhaps)

Categories