The WebScale Database Infrastructure Architecture, Engineering and Operations Company

Full-Stack Database Engineering & Cloud DBaaS Solutions for PostgreSQL, MySQL, MongoDB & More | Performance, Scalability, High Availability, Security & Analytics Experts

  • MinervaDB
    • Who we are
    • Data Transformation
    • Remote DBA Support
    • MinervaDB Team Profile
    • Pricing
  • Products
    • MySQL
      • MySQL Optimization
      • MySQL Consulting
    • PostgreSQL
      • PostgreSQL Consulting
      • PostgreSQL Health Check
      • PostgreSQL Security
    • MariaDB Consulting
      • MariaDB Health Check
    • MongoDB Full-Stack Optimization
    • Full-stack DATA Ops.
    • Database SRE
    • Cloud DBA Services
    • NoSQL Consulting
    • Ticketing System
  • Support
    • Enterprise Support
    • Emergency Support
    • MySQL Support
    • MariaDB Support
      • Full-Stack Optimization
    • PostgreSQL Support
    • MongoDB Support
    • NoSQL
      • MinervaDB NoSQL Platform
    • Redis Support
      • Redis Performance Audit
    • CockroachDB Support
    • Milvus Support
    • Cassandra Support
    • Kafka Support
    • Linux SRE
    • Ticketing System
  • Remote DBA
    • 24/7 PostgreSQL DBA Support
    • PostgreSQL DBA
      • PostgreSQL + Ruby-on-Rails
      • PostgreSQL Maintenance Plan
    • 24/7 Remote MySQL DBA Support
      • MySQL Remote DBA
    • 24/7 Remote MariaDB DBA Support
      • MariaDB DBA
    • Managed Services for NoSQL
    • MongoDB Services
    • RDBA Subscription Plans
    • How RDBA Works ?
    • Database SRE
    • Cloud DBA Services
    • Ticketing System
  • ClickHouse
  • Blog
    • Shiv Iyer Talks
    • MinervaDB Blog
  • Careers
  • Contact
    • MinervaDB Contacts
    • Contact MinervaDB – Book a Seamless Appointment Now
    • Engagement Models
    • FAQ
    • Privacy Policy
    • Cookie Policy
  • Facebook
    • Data Ops. Geek
  • Twitter
    • @MinervaDB
    • @ShivIyer
    • @ChistaDATA
  • LinkedIn
    • Shiv Iyer
  • GitHub
    • @ShivIyer
  • Medium
HomeInnoDB Support

InnoDB Support

MySQL Performance

Hierarchical Data Retrieval in InnoDB: Implementing Recursive Self-Joins with CTEs

Recursive Self-Joins in InnoDB Recursive self-joins in InnoDB are a powerful technique for retrieving hierarchical data, such as organizational structures, category trees, or threaded discussions. By leveraging Common Table Expressions (CTEs), recursive queries can efficiently […]

MySQL Performance

Demystifying MySQL Parsing Problems in the Face of Intense and Diverse SQL Workloads

Understanding How an Intense & Diverse SQL Workload Causes MySQL Parsing Problems In the world of database management, MySQL stands out as one of the most popular and widely used relational database management systems. It’s […]

InnoDB

Troubleshooting InnoDB IO Subsystem Reads: Tips and Tricks for MySQL Performance Optimization

Detecting whether the InnoDB IO subsystem reads are struggling and then troubleshooting them effectively is crucial for maintaining MySQL database performance. To help with this, here are some tips and tricks to identify and address […]

MySQL DBA

Unlocking Efficiency: Enhancing INSERT Performance in InnoDB – Practical Examples and Execution Plans

Various factors can influence the performance of INSERT operations in InnoDB. Let’s explore the performance considerations and provide practical examples along with execution plans: 1. Indexes and Constraints: Execution Plan: 2. Auto-Increment Primary Keys: Execution Plan: […]

InnoDB

Unveiling InnoDB’s Secrets: Unraveling READ Efficiency of SELECT Queries

Have you ever wondered how efficient your SELECT queries really are in terms of reading data from InnoDB tables? Understanding the read efficiency of your queries can shed light on the performance of your database, […]

MySQL

Advanced InnoDB Performance Monitoring: Using Statistics and Forecasts for Optimization

InnoDB

InnoDB Log Growth and CPU Spikes in MySQL: Causes, Troubleshooting, and Monitoring Strategies

Growing InnoDB log files can create CPU spikes in MySQL due to several reasons. Here’s how this might happen and what you can do to troubleshoot and monitor such a performance bottleneck: How Growing InnoDB […]

MySQL Troubleshooting

Monitoring Wait Events in MySQL 8 Using Performance Schema: A Practical SQL Script Approach

MySQL Wait Events Monitoring MySQL Wait Events Monitoring uses the Performance Schema to track wait events, helping you identify which resources are causing delays. This insight allows you to detect potential performance bottlenecks and optimise […]

InnoDB

Optimizing InnoDB Performance for Parallel Queries: Leveraging Multiple CPUs for Faster Execution

InnoDB, the default storage engine in MySQL, enhances performance by supporting parallel query execution. This feature efficiently utilizes multiple CPUs or CPU cores, speeding up query processing. Parallel query execution allows InnoDB to split a […]

MySQL Internals

Troubleshooting MySQL Error Code 1213 and Error Code 1205: Resolving Deadlock Situations

MySQL Error Code 1213 and Error Code 1205 – Troubleshooting Deadlock Situations MySQL Error Code 1213 and Error Code 1205 both indicate deadlock situations where transactions wait for each other to release resources, creating a […]

Posts pagination

« 1 2 3 4 »

Search MinervaDB Blog 🔎

Tell us how we can help!

Loading

★Read this WARNING★

* Everything changes over time – Our blogs/posts and comments changes over time, That’s how it should be! Whatever we comment from MinervaDB Inc. Teams (including Shiv Iyer) and other stakeholders or guest bloggers posted here are never permanent, These things worked for us. But, there is no guarantee they will work for you too, When using the recommendations from ChistaDATA or MinervaDB or MinervaSQL or any other online resources / Google,  You must test the advice before applying them to your production systems, and always invest for a robust Database DR solution, Thank you for understanding. 

Recent Posts ✏

  • Galera Cluster for MySQL 8.0.42-26.23 and 8.4.5-26.23
  • Building Horizontally Scalable RDS Infrastructure
  • Vector Index Algorithms in Milvus
  • Extending Milvus with Custom Plugins and Extensions
  • Milvus Migration Strategies

☎ Contact Global Sales (24*7)

📞 (844) 588-7287 (USA)

📞 (415) 212-6625 (USA)

 

☎ TOLL FREE PHONE (24*7)

(844) 588-7287 

📌 Our Support Channels (24*7)

✔ Email
✔ IRC
✔ Skype
✔ Google Hangouts
✔ WhatsApp
✔ Telegram
✔ Phone

🚩 MinervaDB FAX

+1 (209) 314-2364

Corporate Address: California

MinervaDB Inc.
440 N BARRANCA AVE #9718 COVINA,
CA 91723

Corporate Address: Delaware

MinervaDB Inc.,
PO Box 2093 PHILADELPHIA PIKE #3339
CLAYMONT, DE 19703

Corporate Address: Houston

MinervaDB Inc.,
1321 Upland Dr. PMB 19322, Houston,
TX, 77043, US

📨 Contact MinervaDB (24*7)

 Email – contact@minervadb.com 

(We are online 24*7)

 Google Hangouts – contact@minervadb.com

(for emergency support and quick response)

 

☛ Contact Shiv Iyer
▬▬▬▬▬▬▬▬▬▬▬▬▬
 Email – shiv@minervadb.com
Google Hangouts – shiv@minervadb.com

 

☛ Shiv Iyer LinkedIn
▬▬▬▬▬▬▬▬▬▬▬▬▬

https://www.linkedin.com/in/thewebscaledba/

 

☛ Shiv Iyer GitHub
▬▬▬▬▬▬▬▬▬▬▬▬▬

https://github.com/shiviyer 

HOW CAN WE HELP?

We are committed to building Optimal, Scalable, Highly Available, Reliable, Fault-Tolerant and Secured Database Infrastructure Operations for WebScale to our customers globally

📨 Contact MinervaDB Support (24*7)

✔ Support (24*7) – support@minervadb.com

✔ Google Hangouts – support@minervadb.com

(for emergency support and quick response)

📨 Only for MinervaDB 24*7 Enterprise-Class Support Customers 

If you are a MinervaDB 24*7 Enterprise-Class Support Customer, You can submit support tickets by sending email to support@minervadb.zohodesk.com or submit tickets online here

📌 Add us on Skype

✔ askdbexperts.skype 

✔ shiv_askdbexperts

✔ talk2shiviyer 

(You may contact Shiv Iyer directly for quick response and emergency support)

🌍 User groups we proudly support

✔ MinervaDB MySQL Users Group 

✔ ClickHouse India Users Group

💲Flexible Payment

✔ Wire

✔ PayPal

✔ Credit / Debit Cards

✔ Cheque

✔ Cash

💲Pay online using PayPal

https://www.paypal.me/ASKDBEXPERTS

★ Discounts ★

Discounts are applicable only for multi-year contracts / long-term engagements, We don’t hire low-quality and cheap rookie consultants to manage your mission-critical Database Systems Infrastructure Operations and so our consulting rates are competitive. Being a virtual corporation (no physical offices anywhere in the world), whatever you pay go directly to our consultant’s fee. It’s impossible for us to offer you low-cost consulting, support and remote DBA services with elite-class team, Thanks for understanding and doing business with MinervaDB.

PostgreSQL is a registered trademark of the PostgreSQL Community Association. ClickHouse is a registered trademark of ClickHouse, Inc. MongoDB is a registered trademark of MongoDB, Inc. Couchbase is a registered trademark of Couchbase, Inc. Redis is a registered trademark of Redis Ltd. Apache Cassandra is a registered trademark of the Apache Software Foundation. Milvus is a registered trademark of Zilliz. MinIO is a registered trademark of MinIO, Inc. Amazon Redshift and Amazon Aurora are registered trademarks of Amazon.com, Inc. Google Cloud is a registered trademark of Google LLC. Snowflake is a registered trademark of Snowflake Inc. Databricks is a registered trademark of Databricks, Inc. MySQL and InnoDB are registered trademarks of Oracle Corporation. Oracle is a registered trademark of Oracle Corporation. MariaDB is a trademark of MariaDB Corporation Ab. All other trademarks are property of their respective owners. Other product or company names mentioned may be trademarks or trade names of their respective owner. Copyrights © 2010-2025. All Rights Reserved by MinervaDB®.

Contents

×
  • MySQL Error Code 1213 and Error Code 1205 – Troubleshooting Deadlock Situations
    • Utilizing ‘SHOW ENGINE InnoDB STATUS\G’ for Troubleshooting MySQL Error Code 1213 and Error Code 1205: Analyzing Deadlock Situations
          • Execute “SHOW ENGINE InnoDB STATUS\G”:
          • Locate the “LATEST DETECTED DEADLOCK” section:
          • Identify the Transactions Involved:
          • Analyze “WAITING FOR THIS LOCK” and “HOLDS THE LOCK(S)” sections:
          • Analyze “TRANSACTIONS” and “INNODB STATUS OUTPUT” sections:
          • Look for “PENDING LOCKS” and “PENDING RESOLVES” sections:
          • Identify the Root Cause:
          • Apply Resolution Strategies:
          • Retest and Monitor:
      • Conclusion
→ Index