Welcome!

Weblogic Authors: Yeshim Deniz, Elizabeth White, Michael Meiner, Michael Bushong, Avi Rosenthal

Related Topics: Weblogic

Weblogic: Article

The Benefits of SQLj

The Benefits of SQLj

This month I'm going to look at some of the things I found in those days when I studied the use of SQLJ with WebLogic 6.1.

I got into the subject because I needed to go through a lot of existing JDBC code. As you may know, JDBC code is not the easiest to read, which made me start to think about embedded SQL, because of its better readability compared to JDBC.

In the past, I got used to writing applications on BEA's Tuxedo application server using the C language and embedded SQL, namely PRO*C, Oracle's name for their embedded SQL in C. I recalled that it worked nicely and had some very nice features like compilation time syntax checking and readability, features that JDBC is, obviously, lacking.

That got me studying SQLj, which is the name for embedded SQL in Java and which you can use, for example, with Oracle databases. I found lots of potential uses for writing SQL code instead of JDBC in Java, such as building Enterprise JavaBeans. In this article, when I talk about SQLj, I mean the implementation of SQLj from Oracle release 8.1.7.

Basics
First of all, embedded SQL means placing your SQL statements directly into your Java without using String objects (and without a bunch of other objects from the JDBC API), in contrast to JDBC. That gives you better readability for your code because the statements are pretty much like those you can issue from SQL*Plus or other SQL tools. For example:

#sql select ENAME, SAL from EMP order by ENAME;

After placing these commands in your code, you need to precompile the source code into a .java source, giving you the second important feature in SQLj, which is the compilation time syntax checking. In contrast to SQLj, in JDBC you need to compile and deploy your JDBC application, start the server, and run the application just to find out that the syntax of the SQL statement is incorrect. In SQLj, however, you don't necessarily have to carry out all that, since you'll get the error in precompilation time for syntax incorrectness. That said, I must add that the syntax checking could be much better - in most cases you find out about your SQL syntax errors during runtime.

There might also be a third reason for using SQLj: the performance. Some people say that it's better when compared to JDBC, but since I didn't do any tests and didn't measure it, I can't say. But according to the tests I did with EJBs, I can say the performance is certainly acceptable.

In order to write a SQLj-based Java application you first have to create a .sqlj source file like MyClass.sqlj, which contains the embedded SQL, and then compile it to a .java file, in this case MyClass.java, using the SQLj precompiler. Finally, the MyClass.java source file is compiled into a Java class file for execution, MyClass.class, accordingly.

The SQLj compiler is logically named 'sqlj' and is capable of not only precompiling the embedded SQL, but also of compiling the Java source into a Java class or classes. Alternatively, you can execute your own java compilation phase after the precompilation if you are explicitly setting the sqlj not to compile classes with the -compile option set to "false" (there's also a lot of other options as well). The procedure is as follows (as seen on the command line in Windows 2000):

\> set CLASSPATH=./lib/translator.zip;./lib/runtime.zip
\> sqlj MyClass.sqlj
or
\> set CLASSPATH=./lib/translator.zip;./lib/runtime.zip
\> sqlj -compile=false MyClass.sqlj
\> javac MyClass.java

This will create MyClass.class in both cases, with the exception that in the first example the "default" Java compiler is used and in the latter the explicitly specified javac Java compiler from Sun's JDK is used. The latter also usually provides better output than the former in case of errors in the java source according to testing, especially when using Ant for building (see Building the EJB Using Ant later in this article).

Example One: A Local Class
The first example is the source code for the MyClass, which demonstrates the use of a SQL query we defined earlier and the use of the WebLogic oci driver for Oracle within SQLj. The implementation could be as shown in Listing 1. When compiled and run from command line, the result would look like Listing 2. Before running it you need to set the WebLogic classpaths, which you can do by running the config\examples\setexamplesenv.cmd from your WebLogic 6.1 installation directory. If there had been errors in the SQL, the precompiler might have detected them, for example:

\>sqlj -compile=false MyClass.sqlj
MyClass.sqlj:24.9-24.55: Error: SQL statement could not
be categorized. Total 1 error.

Although, as I said earlier, this is not a typical case; when you use SQLj you will still usually find out about your syntactical errors during runtime.

Example Two: An EJB
While the first example is a static class and run locally, our second example demonstrates the use of SQLJ within an Enterprise JavaBean (EJB). There are two major areas of difference between a local class and a class (or classes) run on the server side inside WebLogic, like an EJB:

  • Multithreading and concurrency
  • Pooled database connections
Although these may be quite obvious to most readers, let's go through them quickly.

First, EJBs are always executed within threads, unlike most local classes, which means that clients execute the same piece of code simultaneously (within the same JVM, i.e., within the WebLogic instance).

Second, since the same piece of code runs simultaneously, we need to have pooled database connections for maximum performance. Otherwise, we would either run out of available database connections (i.e., exceed the maximum number of connections from the database point of view) or, if there is only one connection (and synchronization is used), the performance would be very bad.

In SQLj we can do multithreading by first creating a so-called context and then using that context in our SQLj statements, for example:

#sql context MyContext;
#sql [myContext] myIterator = { select ENAME, SAL from
EMP order by ENAME };

Before you can use the context, it needs to be created from a pooled connection using a WebLogic oci pool driver and a data source named "demoPool" of an EJB as follows:

InitialContext initCtx = new InitialContext();
DataSource ds = (javax.sql.DataSource)
initCtx.lookup("java:comp/env/jdbc/demoPool");
MyContext myContext = new
MyContext(Oracle.getConnection(ds.getConnection()));
initCtx.close();

If you aren't familiar with WebLogic data sources, take a look at the WebLogic EJB examples and documentation for more information.

The EJB implementation using the issues described above could be as shown in Listing 3. The query() method of this EJB returns a Vector of Emp records with ename and sal that we saw in the first example to the calling client.

Building the EJB Using Ant
The easiest way to compile and build the example MyBean EJB is to use Ant, which comes with WebLogic Server examples. I extended Ant's build.xml definition file a bit in order to execute the SQLj precompilation before the Java compilation (see Listing 4). You must also include the step to the target name="all" in the build.xml, for example:

<target name="all" depends="clean,
init, sqlj, compile_ejb, jar_ejb,
ejbc,
compile_webapp,
compile_client"/>

You should also set some properties for the task at the beginning of the build.xml:

<property name="libs" value="${source}/lib"/>
<property name="sqljlib1"
value="${libs}/translator.zip"/>
<property name="sqljlib2" value="${libs}/runtime12.zip"/>

(These jar files must also exist in the "libs" directory under your project directory.)

Running the EJB Client
After building the EJB with Ant and deploying it to WebLogic Server, you can run the EJB client for testing. There's nothing special in the client to any other EJB client, since all SQLj code relies on the server side in the EJB.

However, I extended one of the EJB clients that come with the WebLogic examples a bit in order to make it multithreaded for optimal testing. I modified the client so it launches 50 client threads that will then call the query() method of the EJB. Then I started a couple of clients running simultaneously on different JVMs on my laptop, and had no problems with the EJB returning a response relatively quickly to each of the calling client threads.

Conclusion
The testing showed that during the execution the number of pool connections grew to the maximum number of EJBs specified in the pool (set to 10 in the deployment descriptor), but after all threads had executed, the number of reserved pool connections dropped to zero. Thus we can say that the connection pooling worked just as it should with our example SQLj EJB.

A complete example of an SQLj EJB can be found on the WLDJ Web site at www.sys-con.com/weblogic/sourcec.cfm. The example can be also found on BEA's developer site http://dev2dev.bea.com under WebLogic Server examples.

More information about SQLj can also be found on Oracle's Web site with the SQLj compiler version 8.1.7 used in these examples.

More Stories By Mika Rinne

Mika Rinne is a senior consultant with BEA Systems Inc. He has been programming since he was 13 and in 1995 built an Internet and BEA
TUXEDO-based online ticket-selling service, the first of its kind in Scandinavia.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...