Skip to main content

JODReports is alive

Yesterday we got a requirement from our consumer to convert MS office document to Html as like a google feature "View as html" on portal. As always it was very urgent and with high priority task on Jira. At first i have tried to solve it on regular way but found that there is no straight forword way on java to manage the task. A few commercial product has available on the web to solve the task. One of them are Davisor, 1 cpu license is about 2400 euro. Another one is Aspose. Download their trail version and first of all i discover that Aspose has not support convert Pdf to Html. Davisor convert MS office document not very well, nested table couldn't convert to html at all.
After a few googling i have found some information to use Open Office Org (ooo) to convert MS office documents to any format including PDF, html e.t.c. Also found a few fragment of code and API documents of OOO and JODConvertor open source to convert MS office documents. With great surprise i found that JOdConverter implements OOO api and it's out of box api to convert documents.
JODconverter library provides:
1) CLI to convert documents from command line
2) High level Java api
3) Web service to convert documents
4) Maven 2 plugin
JodReports even provides very well documented user guide to quick start. All you have to need is to start Open office application as and service and you are ready to go.
For starting OOO follow the command
ip-95-221-157-44:~ samim$ /Applications/OpenOffice.org.app/Contents/MacOS/soffice -accept="socket,host=localhost,port=8100;urp;" -nologo -headless

Now you are ready to make some experiment with MS office documents,
OpenOfficeConnection conn = new SocketOpenOfficeConnection(8100);
try {
conn.connect();
DocumentConverter converter = new OpenOfficeDocumentConverter(conn);
converter.convert(new File("/Users/samim/Downloads/big.doc"), new File("/Users/samim/Downloads/big.html"));
} catch (ConnectException e) {
e.printStackTrace();
} finally {
conn.disconnect();
}

You could also customize your export options whenever convert to PDF documents. JOdConverter save my a lot of time and solve my task and satisfy our customer. Many thank't to the developers of the library.
Labels:

Comments

Post a Comment

Popular posts from this blog

Tip: SQL client for Apache Ignite cache

A new SQL client configuration described in  The Apache Ignite book . If it got you interested, check out the rest of the book for more helpful information. Apache Ignite provides SQL queries execution on the caches, SQL syntax is an ANSI-99 compliant. Therefore, you can execute SQL queries against any caches from any SQL client which supports JDBC thin client. This section is for those, who feels comfortable with SQL rather than execute a bunch of code to retrieve data from the cache. Apache Ignite out of the box shipped with JDBC driver that allows you to connect to Ignite caches and retrieve distributed data from the cache using standard SQL queries. Rest of the section of this chapter will describe how to connect SQL IDE (Integrated Development Environment) to Ignite cache and executes some SQL queries to play with the data. SQL IDE or SQL editor can simplify the development process and allow you to get productive much quicker. Most database vendors have their own fron...
Post a Comment
Read more

8 things every developer should know about the Apache Ignite caching

Any technology, no matter how advanced it is, will not be able to solve your problems if you implement it improperly. Caching, precisely when it comes to the use of a distributed caching, can only accelerate your application with the proper use and configurations of it. From this point of view, Apache Ignite is no different, and there are a few steps to consider before using it in the production environment. In this article, we describe various technics that can help you to plan and adequately use of Apache Ignite as cutting-edge caching technology. Do proper capacity planning before using Ignite cluster. Do paperwork for understanding the size of the cache, number of CPUs or how many JVMs will be required. Let’s assume that you are using Hibernate as an ORM in 10 application servers and wish to use Ignite as an L2 cache. Calculate the total memory usages and the number of Ignite nodes you have to need for maintaining your SLA. An incorrect number of the Ignite nodes can become a b...
Post a Comment
Read more

Load balancing and fail over with scheduler

Every programmer at least develop one Scheduler or Job in their life time of programming. Nowadays writing or developing scheduler to get you job done is very simple, but when you are thinking about high availability or load balancing your scheduler or job it getting some tricky. Even more when you have a few instance of your scheduler but only one can be run at a time also need some tricks to done. A long time ago i used some data base table lock to achieved such a functionality as leader election. Around 2010 when Zookeeper comes into play, i always preferred to use Zookeeper to bring high availability and scalability. For using Zookeeper you have to need Zookeeper cluster with minimum 3 nodes and maintain the cluster. Our new customer denied to use such a open source product in their environment and i was definitely need to find something alternative. Definitely Quartz was the next choose. Quartz makes developing scheduler easy and simple. Quartz clustering feature brings the HA and...
Post a Comment
Read more