If you’ve ever loaded a few terabytes of raw data into MySQL and then scratched your head when the database footprint grew larger than your flat files, you’re not alone. This question came up recently in a real-world migration: flat files totaled about 2.0 TB, but once ingested into MySQL (with no secondary indexes), the database measured 2.24 TB.
So where did the extra 240 GB come from?
The InnoDB Overhead Story
The main culprit is InnoDB’s design. It’s not just storing your rows — it’s storing them with transactional guarantees, recovery mechanisms, and structures for efficient querying. Here’s what adds up:
- Page Structure and Fragmentation
- InnoDB stores data in 16KB pages.
- Pages aren’t always fully packed, leaving unused space (internal fragmentation).
- Multiply that by billions of rows, and you’ve got gigabytes of overhead.
- Row Format Metadata
Every row comes with extra fields beyond your raw data:
- Row headers (7–23 bytes).
- MVCC metadata like DB_TRX_ID and DB_ROLL_PTR to handle concurrent transactions.
A small per-row overhead scales up dramatically in large datasets.
- Redo, Undo, and Temporary Logs
InnoDB maintains:
- Redo logs (ib_logfile0, ib_logfile1) for crash recovery.
- Undo logs for rollbacks and consistent reads.
- Temp tablespace (ibtmp1) for operations like sorts.
Even when idle, these files persist on disk.
- Fill Factor / Page Utilization
To keep inserts efficient, InnoDB intentionally leaves free space in pages. This means some storage is held open for growth, rather than packed tightly like in a flat file.
- Data Type Inefficiencies
- VARCHAR, TEXT, BLOB, and DECIMAL fields often take up more space in InnoDB than in a plain CSV.
- Alignment and padding further contribute.
- Deleted but Not Reclaimed Rows
If you’ve done heavy deletes or updates, space may not yet be reclaimed. Running OPTIMIZE TABLE can help, though it’s resource-intensive.
How to Measure the Difference
You can check actual table storage in MySQL:
SELECT
table_schema,
table_name,
ROUND(data_length/1024/1024/1024, 2) AS data_gb,
ROUND(index_length/1024/1024/1024, 2) AS index_gb
FROM information_schema.tables
WHERE table_schema = ‘your_db’
ORDER BY data_gb DESC;
Or examine InnoDB tablespace allocation:
SELECT
table_name,
allocated,
file_size,
free
FROM information_schema.innodb_tablespaces;
Putting It Together
The 12% overhead (240 GB on 2 TB raw) is not unusual at all. In fact, it’s right in line with expectations:
| Component |
Typical Contribution |
| InnoDB page + row overhead |
5–15% |
| Undo/redo logs, temp files |
1–5% |
| InnoDB system metadata |
<1% |
| Fill factor, alignment |
2–10% |
Flat files are lean but fragile. InnoDB adds the structures that make MySQL durable, transactional, and queryable — and that extra space is the price of those guarantees.
Final Takeaway
If your MySQL footprint is a bit larger than your flat file source, don’t panic. That overhead is just InnoDB doing its job. And in large-scale systems, a 10–15% increase is expected — and often well worth the trade-off for reliability and performance.
Reclaiming Space for Truncated Aurora MySQL Tables
Articles, Frontpage Article, NewsWhen working with Aurora MySQL, it’s common to assume that running a TRUNCATE TABLE will completely clear out space and return your database to its pre-load size. Unfortunately, that’s not quite how it works — and it often surprises people during large migrations.
Here’s why truncating doesn’t always free space, and what you should do instead.
TRUNCATE vs. Space Reclamation
In MySQL (and Aurora MySQL), TRUNCATE TABLE is a fast operation that:
However, with InnoDB tables, the physical storage file is not always shrunk automatically. Instead:
That means your database volume won’t shrink even if the table is empty.
The Role of OPTIMIZE TABLE
To actually reclaim space after large deletes or truncations, you need to run:
OPTIMIZE TABLE your_table;
What this does:
In practice, many users see 20–40% of their allocated storage reclaimed after running OPTIMIZE TABLE on heavily churned datasets.
Aurora-Specific Gotchas
Aurora uses a distributed storage layer, so file-per-table semantics can be a bit confusing. Even with innodb_file_per_table=ON, the space isn’t automatically released at the cluster volume level until the table is rebuilt.
Watch the VolumeBytesUsed CloudWatch metric before and after running OPTIMIZE. If you only truncate, the metric won’t move. After optimize, you’ll see a real decrease.
Best Practices
Final Takeaway
In Aurora MySQL, TRUNCATE TABLE clears rows but doesn’t guarantee space reclamation. To actually shrink your database footprint, you need to rebuild the table with OPTIMIZE TABLE. Think of it as the “vacuum” step — without it, your cluster will keep carrying dead weight.
AI in Cloud ERP (2026): How Intelligent ERP Is Redefining Modern Enterprises
NewsArtificial intelligence is turning cloud ERP (enterprise resource planning) into the brain of the modern enterprise. In a recent article posted on Futurism, ERP expert David Deuri explains how AI is no longer an add-on—it’s now built directly into cloud ERP platforms. Instead of just recording transactions, today’s ERP systems can predict outcomes, automate decisions, and actively guide business strategy. The big shift? ERP has moved from being a “system of record” to a “system of intelligence.” Traditional systems told you what already happened. AI-powered ERP tells you what’s likely to happen next—and what you should do about it. Companies are upgrading to cloud ERP not just for scalability, but for smarter capabilities. AI enables predictive forecasting for demand and revenue, automates repetitive tasks like invoice matching and reconciliations, and delivers real-time dashboards with alerts and recommendations. Supply chains benefit from dynamic demand planning and risk detection, while finance teams get faster closes and better anomaly detection. One of the most exciting developments is the rise of AI “agents” inside ERP systems. These agents can monitor workflows, trigger follow-ups on delayed payments, recommend procurement adjustments, and coordinate tasks across departments—without constant human input. Add natural language queries (“Show me this quarter’s revenue variance”), and ERP becomes far more user-friendly. There are still challenges around data quality, integration, and change management. But as Deuri highlights, AI-enabled ERP is quickly becoming a competitive must-have—transforming ERP from a back-office tool into a strategic engine for smarter, faster growth.
For Full Article, Click Here
Weekly Patch Notification: February 28, 2026
Articles, Frontpage Article, PatchesSubscribing to Bookmarks
Articles, Frontpage Article, NewsThis procedure explains how to subscribe to bookmarks.
You could also use the procedure to subscribe to bookmarks, if you have been given access to the bookmark by your system administrator. If the bookmark appears in your list, you have access to it. (See your system administrator if you need access to a bookmark that does not appear in your Bookmarks list.)
To subscribe to bookmarks
If the check mark is removed and you want to add it, click on the box.
Unchecked bookmarks will not appear in your navigation pane or content window.
Why Cloud Migration Services Matter More Than Ever in 2026
NewsCloud migration is no longer a “nice-to-have” IT upgrade—it’s becoming a business necessity in 2026. In a recent article for The AI Journal, technology journalist Erika Balla explains why cloud migration services matter more than ever. For many organizations, the move to the cloud doesn’t start with strategy slides—it starts with frustration: unstable servers, constant restarts, and aging infrastructure that can’t keep up.
At its core, cloud migration means moving applications, data, and infrastructure from on-premises systems to cloud environments. But as Balla points out, it’s rarely a simple lift-and-shift. The process often uncovers outdated systems, bloated data, and legacy apps that need rework before they function properly in the cloud. She outlines common migration types—data, application, infrastructure, and hybrid models—as well as the well-known “6Rs” strategies: rehost, replatform, refactor, repurchase, retire, and retain. Each offers a different path depending on business goals and technical realities.
Of course, the journey isn’t always smooth. Security concerns, compliance requirements, cost overruns, and limited in-house expertise can all complicate migration efforts. That’s why best practices matter: start with a full audit, move in phases, prioritize security, test thoroughly, and monitor cloud spending closely. This is where cloud migration services prove their value. Experienced specialists help reduce downtime, manage risk, ensure compliance, and prevent expensive missteps—freeing internal teams to focus on day-to-day operations.
The payoff? Faster applications, improved scalability, stronger disaster recovery, and more room for innovation. Balla’s message is clear: cloud migration isn’t just a technical shift—it’s a strategic move toward a more resilient, future-ready business.
For Full Article, Click Here
8 ERP security best practices for modern ERP environments
NewsEnterprise resource planning (ERP) systems are treasure troves of sensitive business data—which makes securing them a top priority in today’s threat landscape. In a recent TechTarget article, Kevin Beaver of Principle Logic outlines eight practical security best practices for modern ERP environments. With supply chain attacks on the rise and remote access now standard, he argues that ERP security can’t be treated as an afterthought. One key theme: whether your ERP is on-premises or in the cloud, security is still your responsibility. Assuming a SaaS vendor has everything covered is a risky misconception. Even in cloud environments, organizations must stay actively involved in monitoring, access control, and risk management.
Beaver’s first recommendations are foundational: enable multifactor authentication (preferably app- or token-based, not SMS) and enforce strong password policies. Just as critical is staying on top of software updates. Unpatched systems—especially those missing years-old fixes—are easy targets for attackers. Beyond technical controls, he emphasizes people and process. Educate users and make them partners in security. Build and regularly refine a documented incident response plan. Conduct vulnerability scans, penetration tests, and threat modeling to uncover weak spots. For cloud ERP, review vendor SOC 2 reports at a minimum. Ongoing monitoring is also essential. Whether handled in-house or outsourced, organizations need visibility into logs, alerts, and suspicious activity.
Beaver urges companies to take a structured approach: know what assets exist, understand the risks, and act decisively to mitigate them. His bottom line is simple: ERP security doesn’t fix itself. The best time to strengthen it is before a breach forces your hand.
For Full Article, Click Here
How to fix certain Lawson LBI reports on dashboard prompting for ID and Password
Articles, Frontpage Article, NewsFollow these steps to learn how to fix certain Lawson LBI reports on dashboard prompting for ID and Password. This typically happens after a migration to a new version of LBI. You’ll need to update these report parameters.
First, edit the report on dashboard:
Next, copy the existing URL:
Run the report in Report Admin with data refresh and grab this part of the URL (see screenshot), append it to the end of the original URL above from the report you’re adding it from:
It should like this:
Now it should load properly without asking for credentials.
ERP in 2026: More AI, more best-of-breed add-ons
NewsERP (enterprise resource planning) systems are getting a serious AI upgrade in 2026—and they may look a lot less “all-in-one” than they used to.
In a recent article for CIO.com, senior writer Grant Gross explains how ERP platforms are evolving from transactional back-office systems into intelligent, data-driven engines. Leaders like Steve Bronson of Southern Glazer’s Wine & Spirits say AI and predictive analytics are becoming deeply embedded in core processes, transforming ERP into a real-time decision platform.
AI is the headline change. Experts predict ERP systems will increasingly automate invoicing, onboarding, reconciliations, and other routine finance tasks. Kirk Teal of Information Services Group says AI will go beyond analytics—detecting anomalies, forecasting outcomes, and even recommending or executing decisions within set guardrails. Lasse Kalkar of LiveFlow adds that finance teams are ready to offload repetitive work to AI agents, while keeping humans in the loop for final review.
At the same time, companies are rethinking the traditional monolithic ERP model. Some are embracing modular, best-of-breed apps layered onto a core system. Andy Sen of AppDirect sees AI making it easier to build custom ERP-related tools instead of relying only on bundled vendor modules.
Still, all-in-one platforms aren’t going away. Many organizations prefer their simplicity, and hybrid ecosystems—core ERP plus specialized add-ons—are emerging as the middle ground.
The takeaway? In 2026, ERP won’t just record what happened. It will help decide what happens next.
For Full Article, Click Here
Weekly Patch Notification: February 21, 2026
Articles, Frontpage Article, PatchesAurora MySQL InnoDB Overhead
Articles, Frontpage Article, NewsIf you’ve ever loaded a few terabytes of raw data into MySQL and then scratched your head when the database footprint grew larger than your flat files, you’re not alone. This question came up recently in a real-world migration: flat files totaled about 2.0 TB, but once ingested into MySQL (with no secondary indexes), the database measured 2.24 TB.
So where did the extra 240 GB come from?
The InnoDB Overhead Story
The main culprit is InnoDB’s design. It’s not just storing your rows — it’s storing them with transactional guarantees, recovery mechanisms, and structures for efficient querying. Here’s what adds up:
Every row comes with extra fields beyond your raw data:
A small per-row overhead scales up dramatically in large datasets.
InnoDB maintains:
Even when idle, these files persist on disk.
To keep inserts efficient, InnoDB intentionally leaves free space in pages. This means some storage is held open for growth, rather than packed tightly like in a flat file.
If you’ve done heavy deletes or updates, space may not yet be reclaimed. Running OPTIMIZE TABLE can help, though it’s resource-intensive.
How to Measure the Difference
You can check actual table storage in MySQL:
SELECT
table_schema,
table_name,
ROUND(data_length/1024/1024/1024, 2) AS data_gb,
ROUND(index_length/1024/1024/1024, 2) AS index_gb
FROM information_schema.tables
WHERE table_schema = ‘your_db’
ORDER BY data_gb DESC;
Or examine InnoDB tablespace allocation:
SELECT
table_name,
allocated,
file_size,
free
FROM information_schema.innodb_tablespaces;
Putting It Together
The 12% overhead (240 GB on 2 TB raw) is not unusual at all. In fact, it’s right in line with expectations:
Flat files are lean but fragile. InnoDB adds the structures that make MySQL durable, transactional, and queryable — and that extra space is the price of those guarantees.
Final Takeaway
If your MySQL footprint is a bit larger than your flat file source, don’t panic. That overhead is just InnoDB doing its job. And in large-scale systems, a 10–15% increase is expected — and often well worth the trade-off for reliability and performance.