How to Save an Object to a File

Saving objects to a file, and adding more objects to it on a later occasion

 FileOutputStream saveFile = new FileOutputStream("SaveObj.sav", true);

According to the documentation:

Creates a file output stream to write to the file represented by the specified File object. If the second argument is true, then bytes will be written to the end of the file rather than the beginning.

Java- Save object data to a file

Well I assume, you want to write object directly into the file

public static void serializeDataOut(IHandler ish)throws IOException{
    String fileName= "Test.txt";
    FileOutputStream fos = new FileOutputStream(fileName);
    ObjectOutputStream oos = new ObjectOutputStream(fos);
    oos.writeObject(ish);
    oos.close();
}

public static IHandler serializeDataIn(){
   String fileName= "Test.txt";
   FileInputStream fin = new FileInputStream(fileName);
   ObjectInputStream ois = new ObjectInputStream(fin);
   IHandler iHandler= (IHandler) ois.readObject();
   ois.close();
   return iHandler;
}

I just provided important code. Implement this with exception handling.

How to save an object in a file using nodejs

From the Node documentation for FileSystem, the second parameter needs to be a string, buffer or UintArray.
To persist the object to the file, convert the object to a string using JSON.stringify(obj) and call the fs.writeFile() API.

Here is the code snippet for the same:

fs.writeFile("file.bin", JSON.stringify(obj), 'binary', (err)=>{
   if(err) console.log(err)
   else console.log('File saved')
})

Another way is to use a buffer in place of the string.

var buffer = Buffer.from(JSON.stringify(obj))
fs.writeFile("file.bin", buffer, 'binary', (err)=>{
   if(err) console.log(err)
   else console.log('File saved')
})

Saving an Object (Data persistence)

You could use the pickle module in the standard library.
Here's an elementary application of it to your example:

import pickle

class Company(object):
    def __init__(self, name, value):
        self.name = name
        self.value = value

with open('company_data.pkl', 'wb') as outp:
    company1 = Company('banana', 40)
    pickle.dump(company1, outp, pickle.HIGHEST_PROTOCOL)

    company2 = Company('spam', 42)
    pickle.dump(company2, outp, pickle.HIGHEST_PROTOCOL)

del company1
del company2

with open('company_data.pkl', 'rb') as inp:
    company1 = pickle.load(inp)
    print(company1.name)  # -> banana
    print(company1.value)  # -> 40

    company2 = pickle.load(inp)
    print(company2.name) # -> spam
    print(company2.value)  # -> 42

You could also define your own simple utility like the following which opens a file and writes a single object to it:

def save_object(obj, filename):
    with open(filename, 'wb') as outp:  # Overwrites any existing file.
        pickle.dump(obj, outp, pickle.HIGHEST_PROTOCOL)

# sample usage
save_object(company1, 'company1.pkl')

Update

Since this is such a popular answer, I'd like touch on a few slightly advanced usage topics.

cPickle (or _pickle) vs pickle

It's almost always preferable to actually use the cPickle module rather than pickle because the former is written in C and is much faster. There are some subtle differences between them, but in most situations they're equivalent and the C version will provide greatly superior performance. Switching to it couldn't be easier, just change the import statement to this:

import cPickle as pickle

In Python 3, cPickle was renamed _pickle, but doing this is no longer necessary since the pickle module now does it automatically—see What difference between pickle and _pickle in python 3?.

The rundown is you could use something like the following to ensure that your code will always use the C version when it's available in both Python 2 and 3:

try:
    import cPickle as pickle
except ModuleNotFoundError:
    import pickle

Data stream formats (protocols)

pickle can read and write files in several different, Python-specific, formats, called protocols as described in the documentation, "Protocol version 0" is ASCII and therefore "human-readable". Versions > 0 are binary and the highest one available depends on what version of Python is being used. The default also depends on Python version. In Python 2 the default was Protocol version 0, but in Python 3.8.1, it's Protocol version 4. In Python 3.x the module had a pickle.DEFAULT_PROTOCOL added to it, but that doesn't exist in Python 2.

Fortunately there's shorthand for writing pickle.HIGHEST_PROTOCOL in every call (assuming that's what you want, and you usually do), just use the literal number -1 — similar to referencing the last element of a sequence via a negative index.
So, instead of writing:

pickle.dump(obj, outp, pickle.HIGHEST_PROTOCOL)

You can just write:

pickle.dump(obj, outp, -1)

Either way, you'd only have specify the protocol once if you created a Pickler object for use in multiple pickle operations:

pickler = pickle.Pickler(outp, -1)
pickler.dump(obj1)
pickler.dump(obj2)
   etc...

Note: If you're in an environment running different versions of Python, then you'll probably want to explicitly use (i.e. hardcode) a specific protocol number that all of them can read (later versions can generally read files produced by earlier ones).

Multiple Objects

While a pickle file can contain any number of pickled objects, as shown in the above samples, when there's an unknown number of them, it's often easier to store them all in some sort of variably-sized container, like a list, tuple, or dict and write them all to the file in a single call:

tech_companies = [
    Company('Apple', 114.18), Company('Google', 908.60), Company('Microsoft', 69.18)
]
save_object(tech_companies, 'tech_companies.pkl')

and restore the list and everything in it later with:

with open('tech_companies.pkl', 'rb') as inp:
    tech_companies = pickle.load(inp)

The major advantage is you don't need to know how many object instances are saved in order to load them back later (although doing so without that information is possible, it requires some slightly specialized code). See the answers to the related question Saving and loading multiple objects in pickle file? for details on different ways to do this. Personally I liked @Lutz Prechelt's answer the best, so that's the approach used in the sample code below:

class Company:
    def __init__(self, name, value):
        self.name = name
        self.value = value

def pickle_loader(filename):
    """ Deserialize a file of pickled objects. """
    with open(filename, "rb") as f:
        while True:
            try:
                yield pickle.load(f)
            except EOFError:
                break

print('Companies in pickle file:')
for company in pickle_loader('company_data.pkl'):
    print('  name: {}, value: {}'.format(company.name, company.value))

How to save class File object

That's not what File does.

File is, basically, a euphemism for 'String'. A file object contains 1 field, of type string, with the full path to the field. It represents 'a way to read that file' and not the file itself. If you try to serialize it via ObjectOutputStream, all that you're transferring is the file's name. Not the contents.

You're going to have to transfer the actual bytes across the wire if you want to transfer the contents.

How to save Objects to a file in Android Kotlin

Accordig to this source the method writeObject is used to write an object to the stream. So, you don't need to edit saveRecords function.

In RecordFormActivity class, you can call saveRecords either in onSave function or in override function of onDestroy. if you have save button I advise you to call saveRecords in your onSave function, otherwise you may call it in onDestroy.

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