SuiteBundler allows NetSuite SuiteCloud Platform Developers to package together groups of objects for distribution to other NetSuite Accounts. These packages are called bundles or SuiteApps. SuiteApps can be packaged using the SuiteBundler or the SuiteCloud Development Framework (SDF) and because we are using the SuiteBundler for this article we will call the SuiteApp, bundles. Bundles are usually used by internal developers to move/install customization objects created from NetSuite Sandbox Accounts to their NetSuite Production Accounts, Independent Software Vendors (ISVs) to distribute their solution to their customers and can be made publicly available or shared to a select list of NetSuite Accounts through a deployment account.

Oracle recently released ORDS (Oracle RESTFul Data Services) 23.2.0, available for download at the usual place. This is great news for anyone wishing to develop JavaScript modules in Oracle Database 23c Free-Developer Release. Database Actions provides a great developer experience, including syntax highlighting, an object browser for modules, environments, and call specifications and many more features. There is also built-in support for post-execution debugging. You can read more about working with Multilingual Engine (MLE) JavaScript modules in this post, the next one in the queue is reserved for post-execution debugging.


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Continuous Integration (CI) is the process of automatically building and testing your application's code each time a developer pushes a commit to a remote source-code control repository like GitLab or GitHub. The use of CI is an integral part of DevOps and can be used to great effect: lead times (e.g. the time it takes from idea to shipping) can be reduced and thanks to automated unit and integration testing, error rates typically drop as well.

Testing code locally before committing/pushing it to the remote Git repository is very important to avoid problems with the CI Pipeline's execution. This article concerns itself with local tests of JavaScript modules used with Oracle Database 23c Free. JavaScript Modules are an interesting new database feature allowing developers to process data where they live using one of the most popular programming languages. With the addition of JavaScript Oracle Database features 3 programming languages (PL/SQL and Java being the other 2). The feature enabling JavaScript support on Linux x86-64 in Oracle Database 23c Free is known as Multilingual Engine (MLE).

NOTE: The use of eslint is merely an example, not an endorsement for the tool. There are many more linters available to developers. Always ensure you are comfortable working with a given piece of software, and that you are (license, ...) compliant.

Before submitting the code to the database for testing the developer should ensure the code doesn't have any errors. The example has been chosen to put emphasis on the fact that it's very hard to ensure code quality by merely eyeballing the text ;)

The introduction of TypeScript allows for much better type checking. It also opens the door for linting code. Thankfully developers can use a wide variety of Integrated Development Environments (IDEs) supporting them in writing TypeScript code. Linting and type-checking typically happens while code is written, often limiting the number of errors during pipeline execution to 0

JavaScript support was first introduced in Oracle 21c specifically targeting Application Express developers, allowing them to use an additional programming languge. In Oracle 23c the feature set has been greatly expanded to include the creation of JavaScript ES Modules (ESM for ECMAScript Modules).

 The command will configure the SYS and SYSTEM passwords as free (in lower case), it will allow connecting to the FREEPDB1 pluggable database using local port 1521 and it will mount our local folder mle into the container as /home/oracle/mle.

Now it's time to connect as our developer user and do the real things, connect with sqlplus (from inside the container or using other tools such as SQLcl or SQL Developer from outside the container):

Oracle release 21c focused on dynamic execution of JavaScript snippets, and integration into Oracle's low-code application framework: Application Express (APEX). The DBMS_MLE package allows developers to execute code snippets written in JavaScript inside the database, both on-premises and in the cloud, for Linux x86-64.

The availability of Oracle Database 23c Free - Developer Release on Linux x86-64 provides a wealth of new features to developers. In the context of JavaScript in Oracle database the following two concepts are introduced:

The JavaScript implementation provided by Oracle Database 23c Free - Developer Release on Linux x86-64 is another great step forward, offering developers a popular language alternative to PL/SQL and Java for writing server-side code. MLE Modules and Environments complement the existing feature set initially release with 21c. Their use is simplified for special occasions using inline JavaScript functions and procedures. Additional blog posts with further details are planned for release over the coming weeks.

In addition to passing the details needed for the oci provider (using API key authentication in this example) the source of the provider is changed to oracle/oci vs the previously used hashicorp/oci location. See Registry and Namespace Change in the documentation for more details.

This blog is written to give a succinct description and example of a modern full stack microservice app including a React frontend service that conducts GraphQL queries against a Spring Boot Data JPA backend service that in turn maps to an Oracle database.  

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\nAs such, I'll start right off with a link to the app source: -graphql-springboot-jpa-oracle-ucp-example

Because of the nature of Cloud-Native applications, a single application can be composed of dozens, or even hundreds of microservices. Of course, when running your workload in the Cloud, the developer is allowed to develop and test the complete application without the hardware limit of a single local computer. Furthermore, you can also invite more people to test your application no matter where they are located. These are some reasons why it is important to learn how to move your local workload to the Cloud with OCI.

When prompted for a username, enter your username in the format <tenancy-namespace>/<username>, where <tenancy-namespace> is the auto-generated Object Storage namespace string of your tenancy (as shown on the Tenancy Information page). For example, ansh81vru1zp/jdoe@acme.com. If your tenancy is federated with Oracle Identity Cloud Service, use the format <tenancy-namespace>/oracleidentitycloudservice/<username>.

The saga pattern uses local resource transactions only (no distributed locks) and in doing so alleviates the issues mentioned as far traditional 2pc protocols, however, it has its own considerations and trade-offs. When using sagas, the developer must account for the isolation and eventual consistency needs of the business activity/transaction and provide their own compensation logic for the rollback case as there is no mechanism for managing the locks, data changes, etc.  

The nature of most optimizations, in general, is that they require closer attention to the specific details and requirements of an actual use case and perhaps more fine-tuned handling.  For example, on the one hand, developers may not consider the importance of ACID properties and what can go wrong without one or more of them while on the other hand developers may have assumed there was no other way to architect a transactional solution than to have strong ACID properties. 

In short, auto-compensating data types will provide the same implicit rollback support for commutative data operations as found in traditional two-phase commit XA transactions (thus removing the need for the development of callbacks and recovery) but for sagas (ie using only local transactions). By using this in tandem with the saga support in the database, developers can get all of the benefits of the saga pattern with all of the benefits and simplicity of traditional transaction patterns!

This is in addition to the fact that TEQ provides exactly-once message delivery without the need for the developer to write their microservices to be idempotent and/or explicitly implement a duplicate-consumer pattern. This is a significant advantage and again a perfect match for microservice architectures where service implementations should be limited to domain-specific logic (thus opening up such development to domain experts) and any possible cross-cutting concerns (such as duplicate message handling, etc.) should be moved out of the core service (which is one of the main advantages of service meshes and indeed the TEQ event mesh).  This is also particularly useful for the migration of monoliths to microservices where monolithic apps may well not have been programmed to be idempotent (ie were designed presuming calls were only made/sent once).

Every concept and technology discussed in this blog is shown in the Building Data-Driven Microservices with Oracle Converged Database Workshop which can easily be set up and run in ~30 minutes!  The source for the workshop can be found directly at  -datadriven (specific to this blog are setup, order-mongodb-kafka, inventory-postgres-kafka-inventory, order-oracleteq, and inventory-oracleteq).

Being intimidated is an uncomfortable thing. And when you’re intimidated not by an individual, not by a big life goal (saving for retirement, anyone?), but by a discipline, it’s hard to know where to start.

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\nIt gets worse—putting off learning feels good in the moment but makes your situation more precarious. While you  put it off, everyone else is catching up, the discipline itself evolves, existing literature and documentation become outdated….essentially, the whole world moves on except you.

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\nPhew, I need to lay down.

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\nFor many developers machine learning (ML) is that big, scary thing. Developers may feel at home with their particular side of the front-end or back-end environment but when it comes to machine learning, dipping a toe into the freezing lake of big data is enough reason to stay on shore.

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\nThis is why we are offering you the opportunity to team up with Oracle and Red Bull Racing Honda to join a series of Hands-on Labs which uses race data to teach machine learning. 17dc91bb1f

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