I am looking at changing the way some large objects which maintain the data for a large website are reloaded, they contain data relating to catalogue structure, products etc and get reloaded daily.
After changing how they are reloaded I need to be able to see whether there is any difference in the resulting data so the intention is to reload both and compare the content.
There may be some issues(ie. lists used when ordering is not imporatant) that make the comparison harder so I would need to be able to alter the structure before comparison. I have tried to serialise to json using gson but I run out of memory. I'm thinking of trying other serialisation methods or writing my own simple one.
I imagine this is something that other people will have wanted to do when changing critical things like this but I haven't managed to find anythign about it.
In this special case (separate VMs) I suggest adding something like a dump method to each class which writes the relevant content into a file (human readable text). This method calls dump on each aggregated object as well.
In the end you have to files from each VM, and then you can compare them using an MD5 checksum for example.
This is probably a lot of work, but if you encounter any differences, you can use diff on both files, and this will be a great help.
You can start with a simple version, and refine it step-by-step by adding more output.
Adding (complete) serialization later to a class is cumbersome. There might be tools which simplify this (using reflection etc.), but in my experience you have to tweak your classes: Exclude fields which are not relevant, define a sort order for lists, cyclic relations etc.
Actually I use a similar approach for the same reasons (to check whether a new version still returns the same result): The application contains multiple services (for each version), the results are always data transfer objects, serialization is added immediately to the DTOs, and DTOs must provide a comparison method dedicated for this purpose.
Looking at the complications and memory issues, also as you have mentioned you dont want to maintain versions, i would look to use database for comparison.
It will need some effort in terms of mapping your data in jvm to db table but once you have done that, it will be staright forward. You can dump data from one large object in db tables and then you can simply run a check from 2nd object in db.
Creating a stored proc can simplify things. This solution can support data check from any number of jvms.
Related
I have written a math game in Java, and have distributed some copies to a few beta-testers. The problem is that the version I have given them is saving the GameData via object serialization, which I found out is mainly for sending Objects, or in this case, ArrayLists of GameData, over a network. It is NOT persistance; that is what a relational database is for. Knowing this, I would like to know if it would be better to create a database on the beta-tester's machine (and rewrite the game), or continue with the Object serialization version of the game, and then retrieve the Objects when they are ready to send the data?
My guess would be to just move their data to a database that is created on their computer, and then give them the database version of the game. That way, the data can be persisted and be much easier to manipulate. What turns me away from that idea is the question of how am I going to write their database into mine (in the future)?
Although relatively rare, there are still lots of applications that use serialization for storage and retrieval of objects. It's not wrong to do this, just slightly unusual. If it's working for you, stick with it because DB's are a heavyweight solution. What you found out, about serialization, is only an opinion and an ill-formed one at that.
In terms of using an embedded database, two options to consider are SQLite and HyperSQL. However, serialization is also an option, and in my opinion it should be your default option if you've already implemented it. Some considerations:
With serialization you've generally got to retrieve the entire object, which is slow if you've got an object with several dozen fields and you only want to read one of them. If you're making queries like these, then use a database. I suspect that you're just reading in all of your serialized objects at startup and serializing them back out to disk at shutdown, in which case there's no reason to use a database instead of serialization.
Java's default serialization mechanism is fairly slow. You may want to consider another serialization mechanism, such as Kryo or Jackson, but only if you're not happy with your program's serialization performance.
It is difficult to advise on the best choice of technology without knowing what you are persisting and why.
If the state is simply a snapshot of your game state (i.e. a save file) or a "best scores" table, then you don't need a database. Serializing using JSON, XML or ... Java Object serialization is sufficient.
If the state needs to be read or updated incrementally or shared with other applications ... or users on other machines ... then a database is more appropriate.
Serialization mechanisms are problematic if the requirements include incremental changes, etcetera. You end up building a database-like layer over the top of the serialization.
As to whether you should stick with Java serialization ... or switch to JSON or XML or something like that:
Object serialization is simple, but it can be fragile if you change the classes that you are serializing. This fragility can be mitigated, but it is messy and you lose the simplicity. (You need to write custom readObject and writeObject methods that know how to read "old versions" of the serialized objects.)
JSON and XML are a bit more complicated, but still relatively simple if you use an object binding mechanism.
It is worth noting that changes to the persisted object classes (or the database schemas) are potentially problematic no matter what you do. There is no easy universal solution to this problem.
UPDATE
Given the additional information that you provided in your first comment (below), it seems like you don't need a database in the game itself. All you need is something that can read and analyse the session state save files that your beta testers provide for you. Indeed, it doesn't even seem like the actual app needs to be able read the files. (But that's unclear, because you've not said what the real purpose of these files is ... or at least, not what the entire purpose is.)
It is also worth noting that you are probably saving the wrong information if your aim is to tune the sets of questions. What you really need to do is record the length of time and whether the user got the right or wrong answer and the time ... for each individual question. And you probably need to know what the actual answer given was ... so that you can spot cases where the user's answer was actually right and you "marked" it as wrong ... or vice versa.
"What turns me away from that idea is the question of how am I going to write their database into mine (in the future)?"
Exactly. If you hadn't prematurely "analysed" the data, you wouldn't have this problem.
But ignoring that, it seems like that a simple state saving mechanism is sufficient to meet your (still hypothetical / inferred) requirement of keeping a personal score board for the end user. Your "tuning" stuff would be better implemented using a custom log file. I cannot see any value in incorporating a database as part of the app itself.
I presume you are doing java serialisation, If so there is nothing wrong with it. Just be aware of its limitations - Different versions of java might not be able to retrieve the file.
Also If you change the Class, previous saved data can not be retrieved.
If you decide to change you could look at Xml, JSon, Protocol Buffers, Thrift, Avro etc as well as a DB.
Note:
Xml is builtin in to java
Java Db (Derby) is also in Java
Other serialisation schema's require a seperate library.
The project I am working on requires a whole bunch of queries towards a database. In principle there are two types of queries I am using:
read from excel file, check for a couple of parameters and do a query for hits in the database. These hits are then registered as a series of custom classes. Any hit may (and most likely will) occur more than once so this part of the code checks and updates the occurrence in a custom list implementation that extends ArrayList.
for each hit found, do a detail query and parse the output, so that the classes created in (I) get detailed info.
I figured I would use multiple threads to optimize time-wise. However I can't really come up with a good way to solve the problem that occurs with the collection these items are stored in. To elaborate a little bit; throughout the execution objects are supposed to be modified by both (I) and (II).
I deliberately didn't c/p any code, as it would be big chunks of code to make any sense.. I hope it make some sense with the description above.
Thanks,
In Java 5 and above, you may either use CopyOnWriteArrayList or a synchronized wrapper around your list. In earlier Java versions, only the latter choice is available. The same is true if you absolutely want to stick to the custom ArrayList implementation you mention.
CopyOnWriteArrayList is feasible if the container is read much more often than written (changed), which seems to be true based on your explanation. Its atomic addIfAbsent() method may even help simplify your code.
[Update] On second thought, a map sounds more fitting to the use case you describe. So if changing from a list to e.g. a map is an option, you should consider ConcurrentHashMap. [/Update]
Changing the objects within the container does not affect the container itself, however you need to ensure that the objects themselves are thread-safe.
Just use the new java.util.concurrent packages.
Classes like ConcurrentLinkedQueue and ConcurrentHashMap are already there for you to use and are all thread-safe.
I have a List of Java objects on my server which is sent to the client through some serialization mechanism. Once in a while the List of objects gets updated on the server, that is, some objects get added, some get deleted and others just change their place in the List. I want to update the List on the client side as well, but send the least possible data. Especially, I don't want to resend Objects which are already available on the client.
Is there a library available which will produce some sort of diff from the two lists, so that I can only send the difference and the new Objects accross the wire?
I have found several Java implementation of the unix diff command, but this algorithm is unpractical for order changes. ie. [A,B,C] -> [C,B,A] could be sent as only place changes [1->3] [3->1], while diff will want to resend the whole A and C objects (as far as I understand).
I would do this by making the public interface of the objects wherever they are modified silently keep a log of changes made, that is, add an object representing each modification to a list of modifications.
That way you have a minimal list of the exact changes to send to the other machine, rather than needing to infer them using fallible guesswork by comparing old versus new.
To create the object model so that it automatically records changes to itself, you will likely benefit from some code generation or AOP to avoid a lot of repetitive patterns. Methods that set the value of a property, or add/remove from lists, all need to call into a central log shared by the object hierarchy.
You can "pretend" that your list is a string, and use Damerau–Levenshtein distance to find the minimum operations necessary to transform one to another, allowing insertion, deletion, substitution, and transposition (which is what your example suggests).
I'm not aware of a mature and/or stable implementation, and even if one exists, it's likely targeted for strings, so adapting to a list of abstract value types would be a challenge. Implementing your own is also likely to be a challenging task, but it's certainly doable.
JaVers lib (http://javers.org) do the job.
Diff diff = javers.compare(list1, list2);
Diff contains list of changes like: object-added, object-removed, index-changed
For now I'll just send the complete List over the wire but instead of the objects, I use only a unique ID. If the client does not have the object locally, it requests it using the ID.
This is certainly less beautiful than an optimal algorithm but has the expected result: expensive objects are only sent once over the wire.
Basically what I need to know is this:
I have to show a drop down list of countries to my users each country also has a code associated to it. I will have to work with both the country and the code What would be the best approach:
-We (the dev.) are thinking about a table in our app database with this data, or XML file.
-Our "architect" says that is old school and that we should use constants in our app with a map that associates the country with the code
Please Help me feel smart
I agree with you that you should not hard code this or use constants. There are a few good options depending on yours needs:
Java Properties Files - If you just have a few key-value pairs to store, these are the simplest way and easy to use.
XML Storage - If you are looking for persistence and are looking at XML for storage, I would recommend looking at JAXB. It is part of Java 6 and will make your life easier than trying to use the DOM.
Database Persistence - If you have more data that is changing often, you could also look at storing it in a database. JPA is a great standard library for doing this. That is probably overkill for what you are looking for though.
Bottom line is hard coding is a thing of the past. There are lots of great ways to get data in quickly and easily without resorting to hard coding everything.
Countries rarely change, so adding them statically as code or a config file seems reasonable. If you don't use a database for anything else, don't add one just for this feature.
If you already have XML parsing in your app, use an XML file to define the data. It already solves all kinds of issues (for example if you need to add a second attribute per country or something).
If you don't use XML for anything else, I suggest to give it a try. It doesn't add much to your app. Otherwise, use a plain text file, maybe a CSV one.
The different methods have different advantages and drawbacks:
Database:
allows you to use the country data in queries
data can be changed without redeploying the app
editing the data requires you to write some sort of frontend or do it manually via some generic SQL browser
requires database access code, and some sort of caching strategy
Any country-based logic in the code can break when the DB changes, or has to be reflected in the DB
XML:
Very easy to edit
can be changed without recompiling the app, but changes have to be deployed somehow
Requires parsing code and some sort of caching strategy
Any country-based logic in the code can break when the XML changes, or has to be reflected in the XML
Code:
Easy to edit - for developers
Changes require compilation and deployment
Requires no extra technical layers
Code and country data can't get out of synch
All in all, the "code as data" solution is indeed the nicest, if the compile&deploy step for each change is acceptable to you. The other solutions create overhead and duplication of structure (or even logic) - and no, they don't magically make it "safe" to do last-minute changes "because it's not code". Code is data, and data is code.
In short your architect is wrong (Or at least he is if your paraphrase of his position is accurate). It shouldn't be in the code.
This data is not static; a country's name changes, a new one is founded, or some cease to exist.
As far as what mechanism, it doesn't necessarily matter. Just make sure you can retrieve the data easily, that you have unit tests, and that there is straightforward mechanism to update the data.
I think that "table solution" has more flexible approach:
1. You can manage data and connecting properties
2. You can work with table directly
3. You can create associated map, based on db table))
I would certainly not use them as constants in the code.
Names can change, while countries can be created, merge, disappear, etc.
If you are already using a database, adding this may make sense. For one, it ensures that the codes that may be stored with client data are valid in terms of your country code list. So if a country disappears but a client record still refers to it, the data stays valid.
Make sure that your UI loads and caches the list; no point making a query every time if you can avoid it.
By the way, correctly handling countries in an internationalized application is much more complicated than just dealing with renames. For example, if a country or part of a country declares independence, some countries will recognize it, while others do not.
I have a certain POJO which needs to be persisted on a database, current design specifies its field as a single string column, and adding additional fields to the table is not an option.
Meaning, the objects need to be serialized in some way. So just for the basic implementation I went and designed my own serialized form of the object which meant concatenating all it's fields into one nice string, separated by a delimiter I chose. But this is rather ugly, and can cause problems, say if one of the fields contains my delimiter.
So I tried basic Java serialization, but from a basic test I conducted, this somehow becomes a very costly operation (building a ByteArrayOutputStream, an ObjectOutputStream, and so on, same for the deserialization).
So what are my options? What is the preferred way for serializing objects to go on a database?
Edit: this is going to be a very common operation in my project, so overhead must be kept to a minimum, and performance is crucial. Also, third-party solutions are nice, but irrelevant (and usually generate overhead which I am trying to avoid)
Elliot Rusty Harold wrote up a nice argument against using Java Object serialization for the objects in his XOM library. The same principles apply to you. The built-in Java serialization is Java-specific, fragile, and slow, and so is best avoided.
You have roughly the right idea in using a String-based format. The problem, as you state, is that you're running into formatting/syntax problems with delimiters. The solution is to use a format that is already built to handle this. If this is a standardized format, then you can also potentially use other libraries/languages to manipulate it. Also, a string-based format means that you have a hope of understanding it just by eyeballing the data; binary formats remove that option.
XML and JSON are two great options here; they're standardized, text-based, flexible, readable, and have lots of library support. They'll also perform surprisingly well (sometimes even faster than Java serialization).
You might try Protocol Buffers, it is a open-source project from Google, it is said to be fast (generates shorter serialized form than XML, and works faster). It also handles addition of new field gently (inserts default values).
You need to consider versioning in your solution. Data incompatibility is a problem you will experience with any solution that involves the use of a binary serialization of the Object. How do you load an older row of data into a newer version of the object?
So, the solutions above which involve serializing to a name/value pairs is the approach you probably want to use.
One solution is to include a version number as one of field values. As new fields are added, modified or removed then the version can be modified.
When deserializing the data, you can have different deserialization handlers for each version which can be used to convert data from one version to another.
XStream or YAML or OGNL come to mind as easy serialization techniques. XML has been the most common, but OGNL provides the most flexibility with the least amount of metadata.
Consider putting the data in a Properties object and use its load()/store() serialization. That's a text-based technique so it's still readable in the database:
public String getFieldsAsString() {
Properties data = new Properties();
data.setProperty( "foo", this.getFoo() );
data.setProperty( "bar", this.getBar() );
...
ByteArrayOutputStream out = new ByteArrayOutputStream();
data.store( out, "" );
return new String( out.toByteArray(), "8859-1" ); //store() always uses this encoding
}
To load from string, do similar using a new Properties object and load() the data.
This is better than Java serialization because it's very readable and compact.
If you need support for different data types (i.e. not just String), use BeanUtils to convert each field to and from a string representation.
I'd say your initial approach is not all that bad if your POJO consists of Strings and primitive types. You could enforce escaping of the delimiter to prevent corruptions. Also if you use Hibernate you encapsulate the serialization in a custom type.
If you do not mind another dependency, Hessian is supposedly a more efficient way of serializing Java objects.
How about the standard JavaBeans persistence mechanism:
java.beans.XMLEncoder
java.beans.XMLDecoder
These are able to create Java POJOs from XML (which have been persisted to XML). From memory, it looks (something) like...
<object class="java.util.HashMap">
<void method="put">
<string>Hello</string>
<float>1</float>
</void>
</object>
You have to provide PersistenceDelegate classes so that it knows how to persist user-defined classes. Assuming you don't remove any public methods, it is resilient to schema changes.
You can optimize the serialization by externalizing your object. That will give you complete control over how it is serialized and improve the performance of process. This is simple to do, as long as your POJO is simple (i.e. doesn't have references to other objects), otherwise you can easily break serialization.
tutorial here
EDIT: Not implying this is the preferred approach, but you are very limited in your options if ti is performance critical and you can only use a string column in the table.
If you are using a delimiter you could use a character which you know would never occur in your text such as \0, or special symbols http://unicode.org/charts/symbols.html
However the time spent sending the data to the database and persisting it is likely to be much larger than the cost of serialization. So I would suggest starting with some thing simple and easy to read (like XStream) and look at where your application is spending most of its time and optimise that.
I have a certain POJO which needs to be persisted on a database, current design specifies its field as a single string column, and adding additional fields to the table is not an option.
Could you create a new table and put a foreign key into that column!?!? :)
I suspect not, but let's cover all the bases!
Serialization:
We've recently had this discussion so that if our application crashes we can resurrect it in the same state as previously. We essentially dispatch a persistance event onto a queue, and then this grabs the object, locks it, and then serializes it. This seems pretty quick. How much data are you serializing? Can you make any variables transient (i.e. cached variables)? Can you consider splitting up your serialization?
Beware: what happens if your objects change (locking) or classes change (diferent serialization id)? You'll need to upgrade everything that's serialized to latest classes. Perhaps you only need to store this overnight so it doesn't matter?
XML:
You could use something like xstream to achieve this. Building something custom is doable (a nice interview question!), but I'd probably not do it myself. Why bother? Remember if you have cyclic links or if you have referencs to objects more than once. Rebuilding the objects isn't quite so trivial.
Database storage:
If you're using Oracle 10g to store blobs, upgrade to the latest version, since c/blob performance is massively increased. If we're talking large amounts of data, then perhaps zip the output stream?
Is this a realtime app, or will there be a second or two pauses where you can safely persist the actual object? If you've got time, then you could clone it and then persist the clone on another thread. What's the persistance for? Is it critical it's done inside a transaction?
Consider changing your schema. Even if you find a quick way to serialize a POJO to a string how do you handle different versions? How do you migrate the database from X->Y? Or worse from A->D? I am seeing issues where we stored a serialize object into a BLOB field and have to migrate a customer across multiple versions.
Have you looked into JAXB? It is a mechanism by which you can define a suite of java objects that are created from an XML Schema. It allows you to marshal from an object hierarchy to XML or unmarshal the XML back into an object hierarchy.
I'll second suggestion to use JAXB, or possibly XStream (former is faster, latter has more focus on object serialization part).
Plus, I'll further suggest a decent JSON-based alternative, Jackson (http://jackson.codehaus.org/Tutorial), which can fully serializer/deserialize beans to JSON text to store in the column.
Oh and I absolutely agree in that do not use Java binary serialization under any circumstances for long-term data storage. Same goes for Protocol Buffers; both are too fragile for this purpose (they are better for data transfer between tigtly coupled systems).
You might try Preon. Preon aims to be to binary encoded data what Hibernate is to relational databases and JAXB to XML.