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Simple file system over SQLite

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30 Mar 2012Apache6 min read 81.9K   5.4K   110   5
Implement an easy-to-use file system backed by a SQLite database.

Introduction

SQLite is a very good database engine for small applications to store relational data. However, most of the time, we may still want to store data in the traditional way using a file system: having different directories with different data files saved in those directories.

This way, your data is scattered on the file system as well as a database file. May be you have already gotten used to it but I want to gather all the data in just one place. When backing up data from your Android app, it would be very nice if they are all grouped into a single database file. So why not combine the SQLite tables and the traditional file system together? This project is going to 'create' a simple file system inside a SQLite database file.

Background

As you all know, any file system needs to allocate some room to store the metadata about the file system itself, the directories, and the files. In this project, only three tables are created. Let's have a look at the table schemas:

FsInfo (table to store information about the file system itself):

SQL
CREATE TABLE FsInfo (infoName varchar(128) primary key,infoVal varchar(128)) 

This table is just a simple key-value pair structure.

FsBlock (table to store metadata about the directories and files)

SQL
CREATE TABLE FsBlock (fsID integer primary key autoincrement,
                      fsType integer,
                      fsCreateTime integer,
                      fsLastModTime integer,
                      fsFileSize integer,
                      fsName varchar(512),
                      fsParent integer,
                      fsChild blob)

Each row in this table describes a directory or a file:

  • fsID -- an auto increment ID to uniquely identify a directory or a file (no two directories or files will have the same ID) (ID number '1' is reserved for root directory)
  • fsType -- '0' indicates a directory while '1' is a file
  • fsCreateTime -- time of creation, which is stored as the format of the Windows file time (i.e., number of 100 nano seconds since 1601 Jan, 1)
  • fsLastModTime -- time of last modification
  • fsFileSize -- for a directory, it is '0'; for a file, it is the number of bytes stored in the 'DataBlock' table
  • fsName -- name of file or directory (not full path)
  • fsParent -- fsID of the parent directory
  • fsChild -- for a directory, it is an array of fsIDs of its children (each ID is 4 bytes in size but can be changed to 8 bytes); for a file, it is a single 'dID', which is the primary key in the 'DataBlock' table

DataBlock (table to store the real data of all files)

SQL
CREATE TABLE DataBlock (dID integer primary key autoincrement,
                        dFileType integer,
                        dTextData text,
                        dRawBinData blob)

Each row in this table contains the real data of a file:

  • dID -- an auto increment to uniquely identify the file content
  • dFileType -- '0' means it is a text file and file data should be fetched from 'dTextData'; '1' means it is a binary file and file data should be fetched from 'dRawBinData'
  • dTextData -- contains the text content of a file if the corresponding 'dFileType' is '0'
  • dRawBinData -- contains the binary content of a file if the corresponding 'dFileType' is '1'

Real example

Let's take a real example of the tables above:

336112/fsinfo_s.png

Only some simple data is stored in FsInfo. Actually, you can store anything you like.

Image 2

The above FsBlock shows a directory hierarchy as follows:

/ (root dir)
|
+-- hello/
|     |
|     +-- hellotext.txt
|     |
|     +-- hellobin.bin
|
+-- dir2/
|
+-- dir3/
|
+-- yes.bin
|
+-- mytext.txt

DataBlock shows a mapping from the 'files' in FsBlock. (The IDs in the FsBlock table are stored in BLOB so they are not shown in the picture above.)

/yes.bin -- dID 1
/mytext.txt -- dID 2
/hello/hellotext.txt -- dID 3
/hello/hellobin.bin -- dID 4

SqlFs library

Enough background and examples. I call the library which implements the above file system as 'SqlFs'. Let's have a look at the Java classes.

Inside the zip archive sqlfs.zip, there are two projects -- SqlFs (a library project) and TestSqlFs (contains some test cases for the SqlFs library).

If you look at the directory SqlFs/src/com/sss/sqlfs, the most commonly used classes are:

SqlFs
SqlFsNode
SqlDir (derived from SqlFsNode)
SqlFile (derived from SqlFsNode)
IFileData
SimpleFileData (derived from IFileData)
FsID

You can play with the above SQLite tables (create, delete, read, write, and update directories and files) with just these few classes listed. I will describe these classes in brief.

SqlFs

Everything starts from the class SqlFs. First of all, you need to create/open a database file:

Java
SqlFs fs = SqlFs.create("/sdcard/hello.db", appContext);

After obtaining an instance of SqlFs, you can read/write name-value pairs in the FsInfo table using these methods:

Java
String getInfo(String infoName);
void writeInfo(String infoName, String infoVal);

To create directories/files under the root directory, you need to retrieve the root directory first:

Java
SqlDir rootDir = fs.getRootDir();

or if you know the absolute path (not relative) of a directory or file, try:

Java
SqlDir getDir(String dirPath)
SqlFile getFile(String filePath)

When finished, you need to 'close' the file system:

Java
void close();

Take a look at SqlDir below to see how you can play with it.

Path separator, current directory, and parent directory

Before moving on, it is better to define some symbols used in SqlFs. If you take a look at 'SqlFsConst.java', you can see:

Path separator is forward slash -- '/' (just like Unix). Current directory is a single dot -- '.' Parent directory is two dots -- '..'. Invalid characters for directory and file names are -- '\', '/', ':', '*', '?', '"', '<', '>', '|'.

So an absolute path can be written as /sdcard/hello.txt while a relative one can be written as ../hello/hello.txt. Just like what you do on Unix or Linux.

SqlFsNode

SqlFsNode is the super class of SqlDir and SqlFile. You will never instantiate this class directly. This class contains common methods shared by both SqlDir and SqlFile:

Java
Calendar getCreateTime()
Calendar getLastModTime()
int getFileSize()
String getName()
SqlDir getParent()
boolean rename(String newName)
boolean isAncestor(SqlDir dir) // check if 'dir' is one of its ancestor
boolean move(String destPath)
boolean move(SqlDir destDir)

Argument of 'move' can be an absolute or relative path.

SqlDir

Normal operations that can be performed by SqlDir:

Java
int getChildCount()
boolean isAlreadyExist(String name) // check if there is any child with the same name
SqlDir addDir(String dirName)
SqlFile addFile(String fileName)
boolean delete()
SqlFsNode getChild(String name)
ArrayList<SqlFsNode> getChildList()
ArrayList<SqlDir> getSubDirs()
ArrayList<SqlFile> getFiles()
SqlFsNode getFsNode(String path)
SqlDir getDir(String dirPath)
SqlFile getFile(String filePath)

The methods are quite intuitive. All paths must be relative here.

SqlFile and SimpleFileData

Let's take a look at what SqlFile can do:

Java
boolean delete()
boolean getFileData(IFileData fileData)
boolean saveFileData(IFileData fileData)

Example of getFileData:

Java
SqlFile file = rootDir.getFile("mytext.txt");
SimpleFileData fdRetrieve = new SimpleFileData();
file.getFileData(fdRetrieve);
if (fdRetrieve.isTextFile()) {
   String dataRetStr = fdRetrieve.getText();
    ...
}
else {
   byte[] dataRetrieve = fdRetrieve.getRawBinData();
   ...
}

Example of saveFileData:

Java
// save binary data
SqlFile file = rootDir.addFile("yes.bin");
SimpleFileData fd = new SimpleFileData();
byte[] dataBin = new byte[]{0x34, 0x12, 0x09, 0x11, 0x08}; 
fd.setRawBinData(dataBin);
file.saveFileData(fd);

// save text data
SqlFile file = rootDir.addFile("hellotext.txt");
SimpleFileData fd = new SimpleFileData();
String saveStr = "The system has recovered from a serious error."; 
fd.setTextData(saveStr);
file.saveFileData(fd);

SimpleFileData is a reference implementation of IFileData. If you don't have special needs, just go with it. In fact, you can define your own implementation of IFileData but then you need to instantiate SqlFs using another 'SqlFs.create':

Java
// assume MyFileData is your own implementation of IFileData
SqlFs fs = SqlFs.create("/sdcard/myfile.db", new MyFileData(), appContext);

Inside the test case project, TestSqlFs, there is an example of a user-defined IFileData implementation (UrlFileData). The schema of the 'DataBlock' table is also different from the one used by SimpleFileData.

FsID

It is a class to wrap around the fsID used in FsBlock. By default, it uses a 32 bit integer but can be changed to use 64 bit by changing the internal flag inside FsID:

Java
private static final boolean useLongID

Thread safety

I didn't test reading/writing the same database file with two different processes on Android but there is a test case (inside TestSqlFs -- TestMultiReadWrite.testReadWrite) to read/write the same DB with two different threads in the same process.

Internally, every public operation of SqlFs, SqlDir, and SqlFile is guarded by a lock:

Java
java.util.concurrent.locks.ReentrantLock

Thus, it is thread safe to work on the same DB in two different threads of the same process. Additionally, because many operations can't be performed in only one SQL statement, they are wrapped around by beginTransaction and endTransaction.

To play it safe, each thread should instantiate its own SqlFs (even accessing the same DB) and not pass the SqlFs, SqlDir, and SqlFile instances among threads.

How to run TestSqlFs.apk

It is not a normal Android apk with a GUI but need to be run under CmdConsole (http://www.codeproject.com/Articles/202996/Write-a-console-app-on-Android-using-Java).

Points of interest

This library is only good for small apps like those on Android. If you ask me about the performance of this library, um..., honestly, it won't be very good. But because those small Android apps won't do large amounts of read/write operations at any time, this library is fit to use.

License

This article, along with any associated source code and files, is licensed under The Apache License, Version 2.0


Written By
Software Developer
Hong Kong Hong Kong
Like programming, reading, watching movies.
Wish to own a book store and a small cafe in the future.

Comments and Discussions

 
SuggestionRedudant Data and tables bad structurated Pin
Miguel Ángel Maldonado Sánchez15-Apr-20 4:30
Miguel Ángel Maldonado Sánchez15-Apr-20 4:30 
QuestionMy vote of 5 Pin
Ivica768-Oct-13 3:45
Ivica768-Oct-13 3:45 
GeneralMy vote of 5 Pin
Sudhakar Shinde2-May-13 20:06
Sudhakar Shinde2-May-13 20:06 
GeneralMy vote of 5 Pin
Manoj Kumar Choubey2-Apr-12 3:51
professionalManoj Kumar Choubey2-Apr-12 3:51 
GeneralMy vote of 5 Pin
Plamen Kovandjiev5-Mar-12 22:50
professionalPlamen Kovandjiev5-Mar-12 22:50 

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