Pro n cons of using JavaFx with sqlite, or better option - user-interface

I am creating a desktop application in JavaFx.
1.I want to save all data on client machine (data should be so big).
2.Want simple configuration with database (user friendly).
3.I search sqlite is better option for those type of application but i don't get it the advantages.So please tell me the pro n cons.
4.Is there any option for sqlite for such a application?
I am fresher with JavaFx . So I want a help .

While sql-lite is likely fine and is usable from Java, as you are writing a Java application, I think a pure java database might be preferable - for example H2.
To use H2, just include the H2 jar file on your application's class path and there is no additional setup required for use. Here is an example of using a H2 database from JavaFX over JDBC.
The H2 based example JavaFX application is from javafx connection to mysql and the answer there may provide some more basic info to get you started.
Once you start using a standard api like jdbc or jpa and have established a database connection, the great majority of database related code is pretty agnostic of the backend database system chosen.
As to canvasing detailed opinions of pros and cons of one particular database over another - a google search is probably a better resource for that than a stackoverflow question.

Related

Replicate H2 in-memory database to postgresql (and vice versa)

I have a Java Spring project which does a lot of database reading. The database I have available is a shared postgresql database on a remote machine and it's quite slow to get data from it, especially when I'm doing a lot of back-and-forth.
When I'm doing local testing and development, I use the embedded H2 in-memory database. Things easily go 100 times faster.
This made me wonder. Is there a way to use the embedded H2 in-memory database so that:
Data manipulation (INSERT, UPDATE, DELETE) is ("eventually") replicated to the PostgreSQL database
Upon start/restart of the Spring project, the H2 database is automatically filled with the data of the PostgreSQL server
This would allow me to use the fast H2 to provide a seamless user experience while at the same time also storing the data in a longer-term data storage. In a way, I'd be using the H2 as a fully cached version of the PostgreSQL database.
Is there a known / standardized way to approach this? Google for H2 and PostgreSQL and replication gives me results on transitioning from one to the other, but I'm not finding much as to using one as a sort of cache for the other.
I remain on the lookout for a Spring / JPA / Hibernate focused answer, but if none comes: I may have found an alternative domain to investigate. Dedicated database replication software might be able to manage this. Specifically, I've discovered SymmetricDS, which seems (I've only given the documentation a cursory glance) like it might be able to be embedded into my Spring application, do an initial load of my embedded in-memory H2 database on startup and then trickle feed data changes to the remote database.
(I'm not in any way affiliated with SymmetricDS, it just looks like it might be a solution.)

dataflow output to neo4j using jdbcIO vs java driver

I'm currently working on a setup that uses Google Cloud Dataflow to transform data and save into a Neo4j Database hosted on a Compute Engine VM. The current setup uses a JdbcIO to write to Neo4j by running a prepared statement, but it seems also possible to use a Neo4j driver directly in Java, which allows more flexibility on creating the query dynamically.
I wonder if anyone had compared the 2 approaches and notice any differences? I would guess the Jdbc approach would be more efficient since it only need to run the prepared statement, but that is just my guess.
Update
I'm going to post my findings as I experiment more with the two methods
One difference I found was that when using JdbcIO, I run into a deadlock when multiple transaction is trying to write to the same node at the same time. However that issue did not occur when using Neo4j driver directly.

Integration test with in memory db and spring jdbc

We have multiple oracle schema which we want to import in to somekind of inmemory db so that when we run our integration test we can use that db and run our tests faster.
Is there anyway we this can be achieved using something like HSQL db. We are using spring framework and it does support inmemory db.
Any link to some resource would be highly appreciated.
Try force full database caching mode, if you're using 12.1.0.2. It's not exactly the same as a full in-memory database, but it should be closer.
alter database force full database caching;
In-memory database performance is over-rated anyway. Oracle's "old-fashioned" asynchronous IO and caching often work just fine. For example, in this question, accessing a temporary table (which is stored on disk) runs faster than an equivalent solution using in-memory data structures. And I've seen a small Oracle database handle petabytes of IO with the "boring" old buffer cache.
Or when you say "run our tests faster", are you referring to a more agile database; one that can be controlled by an individual, instead of the typical monolithic Oracle database installed on a server? I see that issue a lot, and there's no technical reason why Oracle can't be installed on your desktop. But that can be a tough cultural battle.
Yes, you can use HSQLDB for the purpose of unit testing - see this post for more information on how to integrate with Spring.
Also, see this list as a good starting point for different usages of HSQLDB.

Neo4j - get friend list up to the 4th degree

I am working with one application which requires to show a friend list up to the 4th degree. After some research I came to know about one solution i.e. Neo4j.
I didn't get a clear idea from their tutorial, can I connect Neo4j to MySQL, and if not how should I implement that myself? I am currently using the codeigniter framework with MySQL.
Thanks.
neo4j is a database, and mysql is a database. so, this question is largely about connecting databases from different vendors together.
at this time, neo4j and mysql do not support direct connections to each other. you'd typically accomplish your desired task by exporting your data from mysql as CSV files (http://www.mysqltutorial.org/mysql-export-table-to-csv/) and importing to neo4j (http://jexp.de/blog/2014/06/load-csv-into-neo4j-quickly-and-successfully/)
michael hunger, a colleague of mine at neo4j, recently wrote this auto importer. you might want to check it out to make this process much easier:
https://github.com/jexp/neo4j-rdbms-import
before going through this data export/import, you may just want to download neo4j and play with the movie dataset. you can do this in about a minute (https://www.youtube.com/watch?v=om6E-HqtrZ0).
then, there are standalone PHP drivers for Neo4j:
http://neo4j.com/developer/php/
josh addell, the author of Neo4jPHP, has even written a post about how to use codeignitor 2 with his library:
http://blog.everymansoftware.com/2011/08/getting-neo4jphp-working-with.html

HSQLDB Manager?

I have tried SQLite in Java, but the speed is slow due to the JDBC driver. Then I tried HSQLDB and thought the speed is good, but I cannot find a good management tool for HSQLDB such as phpMyAdmin for MySQL or SQLite Manager for SQLite.
I'd like to use the manager tool to prepare the test data for unit tests, or use the manager tool to navigate the data after doing some small experiments.
Is there any good tool?
Here are a couple other suggestions you might checkout:
Squirrel SQL http://squirrel-sql.sourceforge.net/
Execute Query http://executequery.org/
Razor SQL (paid) http://www.razorsql.com/
Razor has the best feature set, but is paid. The others are good at different things and worth checking into.
This would only have meaning if you are running in HSQLDB server mode. If you are running in memory or file mode, then you either can't access the DB from another process or doing so would lock it.
In Server mode you could use any universal client. JDBC driver is the hsqldb.jar itself.
Actually HSQL brings its own management tool (which is not super). See http://hsqldb.org/doc/guide/apf.html
I've used Squirrel SQL. It's a universal client for any JDBC database.
See: http://squirrel-sql.sourceforge.net/

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