A queue manager is that part of an MQSeries product that provides the messaging and queuing services to application programs, through the Message Queue Interface (MQI) program calls.
It controls access to queues and serves as transaction (sync point) coordinator for all queue operations. You can read Part-1 tutorial here.
Dynamic Queues
- Dynamic Queue- Such a queue is defined “on the fly” when the application needs it.
- Dynamic queues may be retained by the queue manager or automatically deleted when the application program ends.
- Dynamic queues can be temporary queues that do not survive queue manager restarts. Permanent queues that do survive queue manager restarts.
Synchronous and Asynchronous Messaging:
- In synchronous messaging sending application waits for the reply before it resumes.
- No wait is the rule in the case of Asynchronous messaging.
Read more
-
Why DELETE with Subqueries Fails in PySpark SQL (And How to Fix It)
Learn why PySpark SQL DELETE with WHERE IN subquery fails and how to fix it using DELETE USING, Delta tables, and join-based deletes.
-
GitHub Features & Settings Explained: The Ultimate GitHub Options Guide
GitHub options explained in detail. Explore GitHub features, settings, and best practices to manage repositories and workflows effectively.
-
Ingesting Data from AWS S3 into Databricks with Auto Loader: Building a Medallion Architecture
In this blog post, we will explore efficient methods for ingesting data from Amazon S3 into Databricks using Auto Loader. Additionally, we will discuss how to perform data transformations and implement a Medallion architecture to improve the management and processing of large datasets. What is the Medallion Architecture? The Medallion architecture is a data modeling…
Srinimf 