I am trying to work with StructStat class in Android. As per android documentation at here
st_ino represents File Serial Number of object
st_blocks represents number of blocks allocated to this object
My query is
Can st_ino which is a number, change for any directory/file, in any situation? or Would it be constant once memory is mounted.
What does st_blocks returns, size of object means what value it has?
Thank you in advance
Related
One string size is about 200 bytes,
and it stores 10~20 size in a daily array.
(Store 10~20 strings of 200bytes, as array type)
I have found a way to convert an array to a string
and store it in SQLite.
However, I do not know it's a good idea
because the size of the string is large.
1.
If large arrays of strings,
is it a good idea to store arrays as a string?
2.
or is there a better way?
I would like advice. Thank you.
You're actually placing your concern onto the wrong part of your database design.
For SQLite, the maximum length of a String is 1 billion bytes, so your worries about your 10-20 strings of 200 bytes each actually isn't considered that large.
There's really no harm in storing your array as a single long String in your database. Especially when it's nowhere close to the maximum limit of a String.
Your database query time won't become longer due to your String being long. The real concern here is the processing you'll be doing on that String to turn it back into an Array. Typically, if the String is extremely long, the real performance hit is when you're flattening the array into a String and when you're transforming that String back into an Array.
However, typically, this is something you'll show a loading indicator for to your users.
For storing an Array into a database, there's really only two ways to do so:
Flatten array into a single String and store the String as TEXT
Create a table meant to store the individual elements of the string, and include a column for a Foreign Key that allows you to associate those rows with the same array. Then you'll store each element of your String arrays as a row in this table.
Depending on what you need, one design is better than the other.
For example, you would normally prefer the second implementation if your app requires you to constantly edit individual elements of an array.
For such an example, it wouldn't make much sense to use the first solution, because this means every time you want to edit the contents of an array, you'll be fetching back the complete array in it's entirety. This is impractical when you only want to fetch or edit a particular portion of that String.
Therefore, in such an example, it is much more practical to store the individual elements of the arrays into individual rows of a Table meant for this type of data. You'll be querying only the row you want and updating only the row you want.
So to answer your questions, there's really only two ways to store your String array as a TEXT type in your SQLite database. Both ways work and the real concern is to consider which solution fits your needs best.
If your app only requires you to store and fetch the array in it's entirety each time, then the single String method might be more preferable.
But if your app requires you to work with individual elements of your array, then using the table method would be more convenient.
I have an array of precomputed intensity (computed using a fuzzy logic inference system on a desktop machine). Now I want to use this array as a lookup table for a contrast enhancement application on android, using renderscript.
What I want to do, at a highlevel is to process every pixel in an image, and using the lookup table create a new image where the pixel at the corresponding position has the value looked up in the array. Before I start looking at how to implement this, is this even feasible?
Yes, it is feasible and this is something RS can handle with no problems. You'll need to provide your RS "kernel" with the pre-computed array data as either a separate Allocation or just a data array.
This talk will help get you started: https://youtu.be/3ynA92x8WQo
What is the unit of the value that we get from getMaximumSize() method of SQLiteDatabase object.
The Android documentation does not contain information about the unit.
http://developer.android.com/reference/android/database/sqlite/SQLiteDatabase.html#getMaximumSize%28%29
After executing that method on my Android Tablet, I got the value 4398046507008.
If the unit is in Bit then it is equal to 549GB
If the unit is in Byte then it is equal to 4398GB
I checked Storage&USB section of Settings app, i find that it has only 12GB of Internal Storage. It looks like some thing wrong.
In one of my application i want to display the total space available for storage of cached web service data and the used space.
The implementation of that method in the source code I'm looking at is this:
public long getMaximumSize() {
long pageCount = DatabaseUtils.longForQuery(this, "PRAGMA max_page_count;", null);
return pageCount * getPageSize();
}
getPageSize() returns number of bytes, by documentation, so this returns number of bytes as well.
I want to save a lot of strings with SharedPreferences class .
These strings are quit long.
I really want to know the maximum length of a string that can be save in shared preferences in android.And Also How much size of data i can store in This SharedPrefernces class.
As per android architecture there is no such limit to store data in SharedPreference. Better way is to database (SQLite) when you have to deal with huge amount of data
I read somewhere that there is no hard limit other than Integer.MAX_VALUE ( maximal string length). But it is not advisable to store that much on shared preferences, as this is XML file which must be parsed and you will have a problems while parsing it.
I used to store about 50-100KBytes there. It worked.
The exact answer obtained manually is: maximum Unicode symbol's size is 5657632 symbols (or from [0 to 5657631]) in my case. It's some about 2.7MB for SharedPReference.Editor .
Rather large storage.
You ca use this size twice:
PreferenceManager.getDefaultSharedPreferences(c)
context.getSharedPreferences("<key>", <Mode>);
Of course is't limit for SharedPreferences but if system won't have enough memory it is one first stuff what DELETE it, you remember it.
I recently created a program that gets medi-large amounts of xml data and converts it into arrays of Strings, then displays the data.
The program works great, but it freezes when it is making the arrays (for around 16 seconds depending on the size).
Is there any way I can optimize my program (Alternatives to string arrays etc.)
3 optimizations that should help:
Threading
If the program freezes it most likely means that you're not using a separate thread to process the large XML file. This means that your app has to wait until this task finishes to respond again.
Instead, create a new thread to process the XML and notify the main thread via a Handler when it's done, or use AsyncTask. This is explained in more detail here.
Data storage
Additionally, a local SQLite database might be more appropriate to store large amounts of data, specially if you don't have to show it all at once. This can be achieved with cursors that are provided by the platform.
Configuration changes
Finally, make sure that your data doesn't have to be reconstructed when a configuration change occurs (such as an orientation change). A persistent SQLite database can help with that, and also these methods.
You can use SAX to process the stream of XML, rather than trying to parse the whole file and generating a DOM in memory.
If you find that you really are using too much memory, and you have a reason to keep the string in memory rather than caching them on disk, there are certainly ways you can reduce the memory requirements. It's a sad fact that Java strings use a lot of space. They require two objects (the string itself and an underlying char array) and use two bytes per char. If your data is mostly 7-bit ASCII, you may be better of leaving it as a UTF-8 encoded byte stream, using 1 byte per character in the typical case.
A very effective scheme is to maintain an array of 32k byte buffers, and append the UTF-8 representation of each new string onto the first empty space in one of those arrays. Your reference to the string becomes a simple integer: PTR = (buffer index * 32k) + (buffer offset). "PTR/32k" yields the index of the desired byte buffer, and "PTR % 32k" yields the location within the buffer. Use either an initial length byte or a null terminator to keep track of how long the string is. When you need to access one of the strings, don't allocate a new String object: unpack it into a mutable StringBuilder or work directly with the UTF-8 byte representation.
The above approach is obviously a lot more work, but can save you between a factor of 2 and 6 in memory usage (depending on the length of your strings). However, you should beware of premature optimization. If your problem is with the processing time to parse your input, or is somewhere else in your program, you could find that you've done a lot of work to fix something that isn't your bottleneck and thus get no improvement at all.