I have a file that contains a serialized HashMap containing an element of type MyObject:
�� sr java.util.HashMap���`� F
loadFactorI thresholdxp?# w t (a54d88e06612d820bc3be72877c74f257b561b19sr com.myproject.MyObject C�m�I�/ I partitionL hashcodet Ljava/lang/String;L idt Ljava/lang/Long;L offsetq ~ L timestampq ~ L topicq ~ xp q ~ ppppx
Now, I also have some other MyObject objects that I would like to add to that map. However, I dont want to first read and deserialize the map back into memory, then update it and then write the whole updated map back to file. How would one update the serialization in the file in a more efficient way?
How would one update the serialization in the file in a more efficient way?
Basically by reverse engineering the binary protocol that Java uses when serializing objects into their binary representation. That would enable you to understand which elements in that binary blob would need to be updated in which way.
Other people have already done that, see here for example.
Anything else is just work. You sitting down and writing code.
Or you write the few lines of code that read in the existing files, and write out a new file with that map plus the other object you need in there.
You see, efficiency depends on the point of view:
do you think the single update of a file with binary serialized objects is so time critical that it needs to be done by manually "patching" that binary file
do you think it is more efficient to spend hours and hours to learn the underlying binary format, to correctly update its content?
The only valid reason (I can think of) why to do that: to learn exactly such things: binary data formats, and how to patch content. But even then there might be "better" assignments that give you more insights (of real value in the real world) than ... spending your time re-implementing Java binary serialization.
Related
From the homepage:
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for [...] or binary files.
I have read through the docs now for some hours and think that I have some basic understanding of ANTLR, but I have a hard time to find any references to processing binary files. And I'm not the only one as it seems.
I need to create a parser for some binary data and would like to decide if ANTLR is of any help or not.
Binary data structure
That binary data is structured in logical fields like field1, which is followed by field2, which is followed by field3 etc. and all those fields have a special purpose. The length of all those fields may differ AND may not be known at the time the parser is generated, so e.g. I do know that field1 is e.g. 4 bytes always, field2 might simply be 1 byte and field3 might be 1 to 10 bytes and might be followed by additional field3s with n bytes, depending on the actual value of the data. That is the second problem, I know the fields are there and e.g. with field1 I know it's 4 bytes, but I don't know the actual value, but that is what I'm interested in. Same goes for the other fields, I need the values from all of those.
What I need in ANTLR
This sounds like a common structure and use case for some arbitrary binary data to me, but I don't see any special handling of such data in ANTLR. All examples are using some kind of texts and I don't see some value extraction callbacks or such. Additionally, I think I would need some callbacks influencing the parsing process itself, so for e.g. one callback is called on the first byte of field3, I check that, decide that one to N additional bytes need to be consumed and that those are logically part of field3 and tell the parser that, so it's able to proceed "somehow".
In the end, I would get some higher level "field" objects and ANTLR would provide the underlying parse logic with callbacks and listener infrastructure, walking abilities etc.
Did anyone ever do something like that and can provide some hints to examples or the concrete documentation I seem to have missed? Thanks!
EN 13757-3:2012
I don't think it makes understanding my question really easier, but the binary data I'm referring to is defined in the standard EN 13757-3:2012:
Communication systems for and remote reading of meters - Part
3: Dedicated application layer
The standard is not freely available on the net (anymore?), but the following PDF might provide you an overview of how example data looks like in page 4. Especially that bytes of the mentioned fields are not constant, only the overall structure of the datagram is defined.
http://fastforward.ag/downloads/docu/FAST_EnergyCam-Protocol-wirelessMBUS.pdf
The tokens for the grammar would be the fields, implemented by a different amount of bytes, but with a value etc. Regarding the self-description of ANTLR, I would expected such things to work somehow...
Alternative: Kaitai.io
Whoever is in a comparable position like me currently, have a look at Kaitai.io, which reads very promising:
https://stackoverflow.com/a/40527106/2055163
I need to modify a file. We've already written a reasonably complex component to build sets of indexes describing where interesting things are in this file, but now I need to edit this file using that set of indexes and that's proving difficult.
Specifically, my dream API is something like this
//if you'll let me use kotlin for a second, assume we have a simple tuple class
data class IdentifiedCharacterSubsequence { val indexOfFirstChar : int, val existingContent : String }
//given these two structures
List<IdentifiedCharacterSubsequences> interestingSpotsInFile = scanFileAsPerExistingBusinessLogic(file, businessObjects);
Map<IdentifiedCharacterSubsequences, String> newContentByPreviousContentsLocation = generateNewValues(inbterestingSpotsInFile, moreBusinessObjects);
//I want something like this:
try(MutableFile mutableFile = new com.maybeGoogle.orApache.MutableFile(file)){
for(IdentifiedCharacterSubsequences seqToReplace : interestingSpotsInFile){
String newContent = newContentByPreviousContentsLocation.get(seqToReplace);
mutableFile.replace(seqToReplace.indexOfFirstChar, seqtoReplace.existingContent.length, newContent);
//very similar to StringBuilder interface
//'enqueues' data changes in memory, doesnt actually modify file until flush call...
}
mutableFile.flush();
// ...at which point a single write-pass is made.
// assumption: changes will change many small regions of text (instead of large portions of text)
// -> buffering makes sense
}
Some notes:
I cant use RandomAccessFile because my changes are not in-place (the length of newContent may be longer or shorter than that of seq.existingContent)
The files are often many megabytes big, thus simply reading the whole thing into memory and modifying it as an array is not appropriate.
Does something like this exist or am I reduced to writing my own implementation using BufferedWriters and the like? It seems like such an obvious evolution from io.Streams for a language which typically emphasizes indexed based behaviour heavily, but I cant find an existing implementation.
Lastly: I have very little domain experience with files and encoding schemes, so I have taken no effort to address the 'two-index' character described in questions like these: Java charAt used with characters that have two code units. Any help on this front is much appreciated. Is this perhaps why I'm having trouble finding an implementation like this? Because indexes in UTF-8 encoded files are so pesky and bug-prone?
I have a bunch of different objects(and objec types) that i want to write to a binary file. First of all i need the file to be structured like this:
`Object type1
obj1, obj2 ...
Object type2
obj1, obj2...
....
Being a binary file this doesn't help a user read it, but i want to have a structure so i can search, delete or add an object by it's type, not parsing the entire file. And this is something i don't know how to do. Is this even posible?
You will have to maintain a header at the beginning of the file (or somewhere else) to mark the position and length of each of your objects.
The kind and layout of the header depend a lot on how you plan to read and write into the file. For example if you plan to retrieve the objects by name, you could have in your file something like this
object1 500 1050
object2 1550 800
object3 2350 2000
<some padding to cover 500 bytes>
<the 1050 bytes of object1><the 800 bytes of object2><the 2000 bytes of object3>
And know that object1 starts at the offset 400 in the file, and has a length of 1050 bytes.
Since it seems that you have different types of objects that you want to store, you will probably need to add some additional data to your header.
Take care of the following:
Each time you add, delete or modifiy a file, you will have to update in the header the offset for all files that follow (for example if I remove object2, then the offset for object3 is now 1550).
If you store the header in the same file as the data, then you must take the size of the header into account when computing offsets (this will make things much harder, I suggest you keep the header and binary data separated.
You will have to read and parse the header each time you want to access an object. Consider using a standardized format for your header to avoid problems (YML or XML).
I'm not aware of any library that will help you implement such a feature but I'm pretty sure there are some. Maybe someone will be able to suggest one.
--
Another solution would be to use something like a ZipFile (which is natively supported by Java) and write each of your objects as a differenz ZipEntry. This way you won't have to manage object separation yourself, and will only need to worry about knowing the exact ZipEntry you want.
I am creating a Scrabble game that uses a dictionary. For efficiency, instead of loading the entire dictionary (via txt file) to a Data Structure (Set, List etc.) is there any built in java class that can help me treat the contents of the file as String.
Specifically what I want to do is check whether a word made in the game is a valid word of the dictionary by doing something simple like fileName.contains (word) instead of having a huge list that is memory inefficient and using list.contains (word).
Do you guys have any idea on what I may be able to do. If the dictionary file has to be in something other than a txt file (e.g. xml file), I am open to try that as well.
NOTE: I am not looking for http://commons.apache.org/io/api-1.4/org/apache/commons/io/FileUtils.html#readFileToString%28java.io.File%29
This method is not a part of the java API.
HashSet didn't come to mind, I was stuck in the idea that all contains () methods used O(n) time, thanks to Bozho for clearing that with me, looks like I will be using a HashSet.
I think your best option is to load them all in memory, in a HashSet. There contains(word) is O(1).
If you are fine with having it in memory, having it as String on which to call contains(..) is much less efficient than a HashSet.
And I have to mention another option - there's a data structure to represent dictionaries - it's called Trie. You can't find an implementation in the JDK though.
A very rough calculation says that with all English words (1 million) you will need ~12 megabytes of RAM. which is a few times less than the default memory settings of the JVM. (1 million * 6 letters on average * 2 bytes per letter = 12 milion bytes, which is ~12 megabytes). (Well, perhaps a bit more to store hashes)
If you really insist on not reading it in memory, and you want to scan the file for a given word, so you can use a java.util.Scanner and its scanner.findWithHorizon(..). But that would be inefficient - I assume O(n), and I/O overhead.
While a HashSet is likely a perfectly acceptable solution (see Bozho's answer), there are other data-structures that can be used including a Trie or Heap.
The advantage a Trie has is that, depending upon implementation details, the starting prefix letters can be shared (a trie is also called a "prefix tree", after all). Depending upon implementation structure and data, this may or may not actually be an improvement.
Another option, especially if file-based access is desired, is to use a Heap -- Java's PriorityQueue is actually a heap, but it is not file-based, so this would require finding/making an implementation.
All of these data-structures (and more) can be implemented to be file-based (use more IO per lookup -- which could actually be less overall -- but save memory) or implemented directly (e.g. use SQLite and let it do it's B-Tree thing). SQLite excels in that it can be a "common tool" (once used commonly ;-) in a toolbox; data importing, inspection, and modification is easy, and "it just works". SQLite is even used in less powerful systems such as Android.
HashSet comes "for free" with Java, but there is no standard Trie or file-based Heap implementation. I would start with a HashSet - Reasoning:
Dictionary = 5MB.
Loaded into HashSet (assuming lots of overhead) = 20MB.
Memory usage in relation to other things = Minimal (assumes laptop/desktop)
Time to implement with HashSet = 2 Minutes.
I will have only "lost" 2 Minutes if I decide a HashSet wasn't good enough :-)
Happy coding.
Links to random data-structure implementations (may or may not be suitable):
TernarySearchTrie Reads in a flat file (must be specially constructed?)
TrieTree Has support for creating the Trie file from a flat file. Not sure if this Trie works from disk.
FileHash Hash which uses a file backing.
HashStore Another disk-based hash
WB B-Tree Simple B-tree implementation / "database"
SQLite Small embedded RDBMS.
UTF8String Can be used to significantly reduce the memory requirements of using HashSet<String> when using a Latin dictionary. (String in Java uses UTF-16 encoding which is minimum of two bytes/character.)
You need to compress your data to avoid having to store all those words. The way to do so would be a tree in which nodes are letters and leaves reflect the end of a word. This way you're not storing repetitive data such as the there these where those words all have the same prefix.
There is a way to make this solution even more memory efficient. (Hint: letter order)
Use the readline() of java.io.BufferedReader. That returns a string.
String line = new BufferedReader (new FileReader (file) ).readline ();
I want to come up with a binary format for passing data between application instances in a form of POFs (Plain Old Files ;)).
Prerequisites:
should be cross-platform
information to be persisted includes a single POJO & arbitrary byte[]s (files actually, the POJO stores it's names in a String[])
only sequential access is required
should be a way to check data consistency
should be small and fast
should prevent an average user with archiver + notepad from modifying the data
Currently I'm using DeflaterOutputStream + OutputStreamWriter together with InflaterInputStream + InputStreamReader to save/restore objects serialized with XStream, one object per file. Readers/Writers use UTF8.
Now, need to extend this to support the previously described.
My idea of format:
{serialized to XML object}
{delimiter}
{String file name}{delimiter}{byte[] file data}
{delimiter}
{another String file name}{delimiter}{another byte[] file data}
...
{delimiter}
{delimiter}
{MD5 hash for the entire file}
Does this look sane?
What would you use for a delimiter and how would you determine it?
The right way to calculate MD5 in this case?
What would you suggest to read on the subject?
TIA.
It looks INsane.
why invent a new file format?
why try to prevent only stupid users from changing file?
why use a binary format ( hard to compress ) ?
why use a format that cannot be parsed while being received? (receiver has to receive entire file before being able to act on the file. )
XML is already a serialization format that is compressable. So you are serializing a serialized format.
Would serialization of the model (if you are into MVC) not be another way? I'd prefer to use things in the language (or standard libraries) rather then roll my own if possible. The only issue I can see with that is that the file size may be larger than you want.
1) Does this look sane?
It looks fairly sane. However, if you are going to invent your own format rather than just using Java serialization then you should have a good reason. Do you have any good reasons (they do exist in some cases)? One of the standard reasons for using XStream is to make the result human readable, which a binary format immediately loses. Do you have a good reason for a binary format rather than a human readable one? See this question for why human readable is good (and bad).
Wouldn't it be easier just to put everything in a signed jar. There are already standard Java libraries and tools to do this, and you get compression and verification provided.
2) What would you use for a delimiter and how determine it?
Rather than a delimiter I'd explicitly store the length of each block before the block. It's just as easy, and prevents you having to escape the delimiter if it comes up on its own.
3) The right way to calculate MD5 in this case?
There is example code here which looks sensible.
4) What would you suggest to read on the subject?
On the subject of serialization? I'd read about the Java serialization, JSON, and XStream serialization so I understood the pros and cons of each, especially the benefits of human readable files. I'd also look at a classic file format, for example from Microsoft, to understand possible design decisions from back in the days that every byte mattered, and how these have been extended. For example: The WAV file format.
Let's see this should be pretty straightforward.
Prerequisites:
0. should be cross-platform
1. information to be persisted includes a single POJO & arbitrary byte[]s (files actually, the POJO stores it's names in a String[])
2. only sequential access is required
3. should be a way to check data consistency
4. should be small and fast
5. should prevent an average user with archiver + notepad from modifying the data
Well guess what, you pretty much have it already, it's built-in the platform already:Object Serialization
If you need to reduce the amount of data sent in the wire and provide a custom serialization ( for instance you can sent only 1,2,3 for a given object without using the attribute name or nothing similar, and read them in the same sequence, ) you can use this somehow "Hidden feature"
If you really need it in "text plain" you can also encode it, it takes almost the same amount of bytes.
For instance this bean:
import java.io.*;
public class SimpleBean implements Serializable {
private String website = "http://stackoverflow.com";
public String toString() {
return website;
}
}
Could be represented like this:
rO0ABXNyAApTaW1wbGVCZWFuPB4W2ZRCqRICAAFMAAd3ZWJzaXRldAASTGphdmEvbGFuZy9TdHJpbmc7eHB0ABhodHRwOi8vc3RhY2tvdmVyZmxvdy5jb20=
See this answer
Additionally, if you need a sounded protocol you can also check to Protobuf, Google's internal exchange format.
You could use a zip (rar / 7z / tar.gz / ...) library. Many exists, most are well tested and it'll likely save you some time.
Possibly not as much fun though.
I agree in that it doesn't really sound like you need a new format, or a binary one.
If you truly want a binary format, why not consider one of these first:
Binary XML (fast infoset, Bnux)
Hessian
google packet buffers
But besides that, many textual formats should work just fine (or perhaps better) too; easier to debug, extensive tool support, compresses to about same size as binary (binary compresses poorly, and information theory suggests that for same effective information, same compression rate is achieved -- and this has been true in my testing).
So perhaps also consider:
Json works well; binary support via base64 (with, say, http://jackson.codehaus.org/)
XML not too bad either; efficient streaming parsers, some with base64 support (http://woodstox.codehaus.org/, "typed access API" under 'org.codehaus.stax2.typed.TypedXMLStreamReader').
So it kind of sounds like you just want to build something of your own. Nothing wrong with that, as a hobby, but if so you need to consider it as such.
It likely is not a requirement for the system you are building.
Perhaps you could explain how this is better than using an existing file format such as JAR.
Most standard files formats of this type just use CRC as its faster to calculate. MD5 is more appropriate if you want to prevent deliberate modification.
Bencode could be the way to go.
Here's an excellent implementation by Daniel Spiewak.
Unfortunately, bencode spec doesn't support utf8 which is a showstopper for me.
Might come to this later but currently xml seems like a better choice (with blobs serialized as a Map).