Batching Content Management Operations for Database Efficiency

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Solution Overview

Problem

Content management systems face inefficiencies in database interactions due to the need for multiple, repetitive operations, which result in increased network transfers and processing overhead, especially when handling large volumes of similar content objects.

Innovation Solution

Implementing a batching technique where related content management commands are processed collectively as a batch, allowing multiple updates to be handled in a single database interaction, rather than individually, and providing an API or interface to enable explicit or implicit batching of commands.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If each content management operation is processed individually with separate database interactions, then data consistency and reliability are maintained, but processing time and network overhead increase significantly

Engineering Contradiction:

Improvedata consistencyVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

Multiple individual content management operations are merged into a single batch operation. The system collects multiple commands (create, update, delete, query) targeting different content objects and processes them collectively in one database interaction, reducing the number of round trips from N individual operations to 1 batch operation while maintaining data consistency through atomic transaction processing.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system performs preliminary collection and buffering of multiple content management commands before executing them. Commands are gathered in a buffer until a batch threshold is reached or a flush condition occurs, allowing the system to prepare and optimize the batch operation in advance, thereby reducing overall processing time without sacrificing reliability.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If multiple database interactions are performed for each content item, then individual operation integrity is ensured, but network transfer overhead and processing complexity increase

Engineering Contradiction:

Improveoperation integrityVSAvoidprocessing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Multiple separate database interactions are merged into a single batched database call. Instead of executing N separate SQL statements for N content operations, the system consolidates them into one batched operation that processes multiple content objects simultaneously, reducing network overhead and simplifying the interaction model while preserving operation integrity through transactional semantics.

Inventive Principle:

Principle #5Merging (Combining)

3Manufacturing precision

If individual database insertions are performed for each content object, then data accuracy is maintained, but the number of network transfers and processing overhead increase

Engineering Contradiction:

Improvedata accuracyVSAvoidingestion speed

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

Individual database insertion operations are merged into a single batched insert operation. The system collects multiple content objects and their associated metadata, then performs a single bulk insert statement that maintains data accuracy through transactional integrity while dramatically improving ingestion speed by eliminating N-1 network round trips and reducing database processing overhead.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS8280917B1Batching content management operations to facilitate efficient database interactions

Publication Date: 2012.10.02 OPEN TEXT CORP

AI summary

Batching content management operations to facilitate efficient database interactions is disclosed. Two or more content management-related requests are received. The two or more content management-related requests are treated as a batch, including by formulating and sending to a database in a single database interaction a grouped request to add, delete, or modify each of a plurality of database records.