"Peter K." schreef in bericht news: snipped-for-privacy@remove.ieee.org...
MySQL is not an embedded database IMHO, way too big. The licensing is also very commercial since you're only really entitled to use it if for free you are an open-source programmer.
I'm using SQLite in many projects and the performance is excellent and the memory footprint very, very small (several KBytes). There's also an in-memory version of the database in development (or maybe already available).
If an 'in memory' database is satisfactory, take a look at my GPLd hashlib. It is written in pure standard C, so extremely portable. I own it, so arrangements can be made if the GPL requirement to release your code is a problem. See:
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Well the SELECT speed and memory footprint of mySQL are both superb.
[caveat - you need a 2GHz Pentium and 1GByte of RAM]
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Hmm my working gateway email server uses mySQL, originally on a sub GHz processor and 256MB of RAM, Got upgraded to a newer nano-ATX board
1GHz and 1GB RAM. System runs Apache and email server and several other apps, some of them using the half dozen databases.
However the system is so lightly loaded, the real question on SELECT speeds and memory footprint depends on
Size and complexity of database Number of concurrent users (access to database) Number of SELECT requests per min/per hour... What forms of caching are being used etc....
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The database will be large (e.g. tables of 1,000,000 or more entries), but not particularly complex.
There weill only be one application accessing the database at a time (or at all).
Assuming only one (concurrent) connection, I wonder why the number of select requests per time period is a factor (it clearly will be for multiple connections).
I suppose what I'm looking for is how long it takes to do:
SELECT * FROM SomeTable WHERE SomeField = 'SomeValue'
and SomeField is the primary key. By "how long" I mean mean, standard deviation, and [if possible] worst case times.
Ciao,
Peter K.
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This will determine how much data is moving around, so determines how fast a storage unit (and interface), how much needs to be buffered in memory, to keep up. Could the serving be better served by being done from a RAM copy. Can the processor/OS/database software keep up with the expected number of requests. Are the vast majority of database operations ONLY Read, and the database updated once a day/hour/week/etc...
What sort of response time is a MUST have, would be nice, or would be great! In other words how fast *must* the data be returned.
If you only make 1 request a second, there are a hell of a lot of solutions, whereby cost of processor/RAM and size become more of the issue in determining what software to use.
If you make 10,000 requests a second, you better have a really fast processor with lots of RAM, possibly with RAM copy (or RAMdisk) for the database in live use. Here the software becomes more of an issue that determines the host hardware/software.
So simple requests, but what is the dataset size? Number of fields in a record? Fixed or variable length length fields in the records?
To read a 10 byte or 10MB record? (yes some people have fields in the SAME database that is a large picture or other document!)
Standard deviation on a system doing NOTHING else?
What type of system are you using to benchmark this on?
The other important issue is
What else is running How much processor time available How much storage access time available? (i.e. does this application have near total allocation of storage unit or is somebody streaming video to/from the storage unit at the same time!)
There is NO simple answer to questions like this.
Consider this analogy
Take a deck of cards
Shuffle the deck (our database)
Now consider these requests Find the 15th card down - very fast and easy to find
Find a heart of any size - slower but easy.
Find All the Three's - More complicated
Find the 5 of hearts - more complicated
A lot depends on how your data is organised and normalised and many other issues, you have not given the details on.
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It was pure sarcasm (its a British thing) and not meant to be taken literally or in any way as fact. The OP had a 'requirement' for an embedded database, but without giving any clue what that requirement was wants advice about memory footprint. I don't know if it is to run on an 8bit device or a dual core Pentium - hence the sarcasm.
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Regards,
Richard.
+ http://www.FreeRTOS.org & http://www.FreeRTOS.org/shop
17 official architecture ports, more than 6000 downloads per month.
+ http://www.SafeRTOS.com
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Apart from RAM data bases, on a virtual memory machine, the most primitive data base would be just mapping the tables into virtual memory and let the OS do the data loading with page faults as well as the caching of frequently used data.
If you are only interested in accessing through the primary (and even secondary keys) any COBOL style ISAM (Indexed Sequential Access Method) file system should do. With current amount of memory and only a very small (one million) amount of records, the whole key tree could be in memory, so the SELECT time is not an issue. Retrieving the actual data from disk will of course cost some extra. Unfortunately, none of the popular (Windows and Unix variants) operating systems support ISAMs at the OS level, so some drivers are required.
You need nothing like that. A recent poster on c.d.mysql is approaching a 45MB memory footprint after basic tuning achieved a footprint of 80MB. Certainly it will run just fine on a 486/66 with
256MB or less. But I am speaking about modern versions of the full networked server; the embedded version or 3.23.x are probably less demanding.
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