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Скачать или смотреть Using Record Type, Collections, and Bulk Collect in Oracle PL/SQL

  • vlogize
  • 2025-09-17
  • 0
Using Record Type, Collections, and Bulk Collect in Oracle PL/SQL
Record type Collection and Bulk collect at the same time in oracle plsqloracleplsql
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Описание к видео Using Record Type, Collections, and Bulk Collect in Oracle PL/SQL

Discover how to effectively implement `Record Type`, `Collections`, and `Bulk Collect` in Oracle PL/SQL to handle multiple rows of data seamlessly.
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This video is based on the question https://stackoverflow.com/q/62909855/ asked by the user 'jack' ( https://stackoverflow.com/u/13933915/ ) and on the answer https://stackoverflow.com/a/62927530/ provided by the user 'Jon Heller' ( https://stackoverflow.com/u/409172/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Record type, Collection and Bulk collect at the same time in oracle plsql

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Solving the Challenge of Combining Record Types, Collections, and Bulk Collect in Oracle PL/SQL

When working with Oracle PL/SQL, many developers encounter challenges when trying to manipulate multiple rows of data using record types and collections. One common scenario is when you need to combine these elements effectively, especially when using BULK COLLECT to handle large sets of data efficiently. In this post, we will explore a practical approach to achieve this through a well-structured solution.

Understanding the Problem

In the provided scenario, the requirements were clear:

Use a record type to define a structure for data (in this case, id and name).

Collect multiple records using BULK COLLECT.

Pass these records to a procedure within a package for processing.

However, several errors arose during implementation, primarily due to the incorrect setup of the data structures, leading to confusion. The main issue was using a single record variable instead of an appropriate nested table to collect multiple records.

Step-by-Step Solution

1. Define the Necessary Structures

To hold multiple rows of data, you need a combination of record types and collections. Let’s start by defining these in a PL/SQL package.

[[See Video to Reveal this Text or Code Snippet]]

In the above code:

We define a record type poc_rectype that includes id and name.

A nested table type poc_tab is created to hold multiple records of this type.

The procedure poc1_prc is designed to accept this nested table for processing.

2. Implement the Processing Logic

Now, let’s define the procedure implementation that will handle the passed records:

[[See Video to Reveal this Text or Code Snippet]]

Here's what happens in this procedure:

It iterates over the collection poc_recs.

For each record, it prints the id to the output.

3. Writing the Execution Block

Now that the package and procedure are in place, it's time to write the execution block that populates our collection and calls the procedure.

[[See Video to Reveal this Text or Code Snippet]]

Output

The expected output when this block is executed will be:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following the structured approach outlined above, you can effectively use record types, collections, and BULK COLLECT in Oracle PL/SQL to handle multiple records seamlessly. Not only does it enhance data processing efficiency, but it also allows for cleaner and more maintainable code.

If you're working with older versions of Oracle, remember that you might need extra steps to define record types and nested tables as separate variables due to conversion issues between SQL and PL/SQL types.

By implementing these solutions, you can tackle similar challenges confidently in your PL/SQL applications.

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