While moving a decimal value to Comp-5, you just need to consider these: it stores only the integer portion and ignores the decimal portion.
Suppose you have defined a field with PIC 9(07)V99 and you moved a value from this data type to COMP-5.
COBOL Example: How to use COMP-5.
01 My-data PIC 9(07)v99 value 1234567.10.
01 Out-data comp-5 or S9(07)v99 Comp-5.
MOVE My-data to Out-data.The result will be: 1234567
Resolution
The key point I want to share is that Comp-5 stores only integer parts and truncates decimal parts.
Note: So, you cannot use comp-5 as S9(07)v99, but you can use it as S9(09).
More details of COMP-5
- Comp-5 stores the data in the form of Binary ( because binary doesn’t support decimals)
- It has boundaries. It stores as 2/4/8 bytes internally
- S9(1) to S9(4) => 2 bytes(half)
- S9(5) to S9(9) ==> 4 bytes(full)
- S9(10) to S9(18) ==> 8 bytes(double)
- With or without ‘S’ you can define the Comp-5 data types
References
- The complete Information of COMPUTATIONAL-5 or COMP-5 Phrase (Binary)
LATEST POSTS
Tony Robbins Vocabulary: 50 Powerful Words and Phrases to Improve Your English
Learn 50 powerful Tony Robbins vocabulary words and phrases with simple meanings and example sentences to improve your English speaking skills
Migrating JSON Files from AWS S3 to PostgreSQL Using AWS Glue and PySpark
Migrating JSON files from AWS S3 to PostgreSQL using AWS Glue and PySpark is one of the most common data engineering challenges teams face today. In this guide, you will learn exactly how to build a production-grade AWS Glue JSON to PostgreSQL migration pipeline — from reading raw JSON files in S3 to writing clean,…
5 PySpark Performance Anti-Patterns on Databricks (And How to Fix Them)
Databricks makes scaling big data processing feel almost effortless. Under the hood, however, writing PySpark without understanding how Apache Spark and Delta Lake execute your code can quietly ruin performance, spike DBU costs, and cause out-of-memory (OOM) crashes. Below are 5 common PySpark anti-patterns seen in production, along with exact code fixes to keep your…
Databricks Lakebase vs. Lakehouse vs. Data Warehouse: What’s the Difference?
Confused by Databricks Lakebase, Lakehouse, and traditional Data Warehouses? Here is a complete comparison of OLTP vs. OLAP architectures, key use cases, and when to use each.
Something went wrong. Please refresh the page and/or try again.
