Mafiree logo
  • About
  • Services
  • Blogs
  • Careers
  • Products
    • orbit logo Orbit
    • streamer logo Xstreami
  • Contact
Schedule a Call
Menu
  • About
  • Services
  • Blogs
  • Careers
  • Products
    • orbit logo Orbit
    • streamer logo Xstreami
  • Contact
  • Schedule a Call
Database
Database Managed Database Services
MySQL MySQL
MySQL Consulting
MySQL Migration Services
MySQL Optimization & Query Tuning
MySQL Database Administration
MySQL Backup & Recovery
MySQL Security & Maintenance
MySQL Cloud Services (AWS RDS, Aurora, Google Cloud SQL, Azure)
MySQL for Ecommerce
MySQL High Availability & Replication
MongoDB MongoDB
MongoDB Consulting
MongoDB Migration Services
MongoDB Optimization & Query Tuning
MongoDB Database Administration
MongoDB Backup & Recovery
MongoDB Security & Maintenance
MongoDB Cloud (Atlas)
MongoDB Solutions by Industry
MongoDB High Availability & Replication
PostgreSQL PostgreSQL
PostgreSQL Consulting
PostgreSQL Migration & Upgrades
Performance Tuning & Query Optimization
PostgreSQL Administration & Managed Services
High Availability, Clustering & Replication
PostgreSQL Backup, Recovery & Disaster Planning
PostgreSQL Security, Compliance & Auditing
PostgreSQL for Analytics & Data Warehousing
PostgreSQL on Cloud & Containers
PostgreSQL Extensions & Open-Source Integrations
PostgreSQL for Every Industry
SQL Server MSSQL
MSSQL Consulting
MSSQL Migration Services
MSSQL Optimization & Query Tuning Services
MSSQL Database Administration Services
MSSQL Backup & Recovery Services
MSSQL High Availability & Replication Services
MSSQL Security & Compliance Services
MSSQL Performance Monitoring & Health Checks
MSSQL Solutions by Industry
Aerospike Aerospike
Aerospike Consulting
Aerospike Migration Services
Aerospike Performance Optimization & Tuning
Aerospike Backup & Recovery
Aerospike High Availability
Aerospike Cloud & Hybrid Deployments
Aerospike for Real-Time Applications (AdTech, FinTech, Retail, IoT)
Clickhouse Clickhouse
ClickHouse Consulting
ClickHouse Migration Services
ClickHouse Optimization & Query Tuning
ClickHouse Database Administration
ClickHouse Backup & Recovery
ClickHouse Security & Maintenance
ClickHouse Cloud Services (ClickHouse Cloud, AWS, GCP, Azure)
ClickHouse Solutions by Industry
ClickHouse High Availability & Replication
TiDB TiDB
TiDB Consulting
TiDB Administration & Maintenance
TiDB Security and Privacy Maintenance
TiDB Performance & Query Optimization
TiDB Migration Services
TiDB Backup & Disaster Recovery
TiDB High Availability Solutions
TiDB Solutions by Industry
TiDB Cloud Services
ScyllaDB ScyllaDB
ScyllaDB Consulting
ScyllaDB Administration & Maintenance
ScyllaDB Security and Privacy Maintenance
ScyllaDB Performance & Query Optimization
ScyllaDB Migration Services
ScyllaDB Backup & Disaster Recovery
ScyllaDB High Availability Solutions
ScyllaDB Solutions by Industry
ScyllaDB Cloud Services
DevOps
DevOps DevOps Services
Version Control Version Control
Kubernetes Kubernetes
Infrastructure Infrastructure Management
Web Servers Web Servers
Networking
Networking Networking Services
Basic Basic
Advanced Advanced
MySQL MySQL
MongoDB MongoDB
PostgreSQL PostgreSQL
MSSQL MSSQL
Aerospike Aerospike
Clickhouse Clickhouse
TiDB TiDB
ScyllaDB ScyllaDB
Version Control Version Control
Kubernetes Kubernetes
Infrastructure Infrastructure Management
Web Servers Web Servers
Basic Basic
Advanced Advanced
MySQL Consulting
MySQL Migration Services
MySQL Optimization & Query Tuning
MySQL Database Administration
MySQL Backup & Recovery
MySQL Security & Maintenance
MySQL Cloud Services (AWS RDS, Aurora, Google Cloud SQL, Azure)
MySQL for Ecommerce
MySQL High Availability & Replication
MongoDB Consulting
MongoDB Migration Services
MongoDB Optimization & Query Tuning
MongoDB Database Administration
MongoDB Backup & Recovery
MongoDB Security & Maintenance
MongoDB Cloud (Atlas)
MongoDB Solutions by Industry
MongoDB High Availability & Replication
PostgreSQL Consulting
PostgreSQL Migration & Upgrades
Performance Tuning & Query Optimization
PostgreSQL Administration & Managed Services
High Availability, Clustering & Replication
PostgreSQL Backup, Recovery & Disaster Planning
PostgreSQL Security, Compliance & Auditing
PostgreSQL for Analytics & Data Warehousing
PostgreSQL on Cloud & Containers
PostgreSQL Extensions & Open-Source Integrations
PostgreSQL for Every Industry
MSSQL Consulting
MSSQL Migration Services
MSSQL Optimization & Query Tuning Services
MSSQL Database Administration Services
MSSQL Backup & Recovery Services
MSSQL High Availability & Replication Services
MSSQL Security & Compliance Services
MSSQL Performance Monitoring & Health Checks
MSSQL Solutions by Industry
Aerospike Consulting
Aerospike Migration Services
Aerospike Performance Optimization & Tuning
Aerospike Backup & Recovery
Aerospike High Availability
Aerospike Cloud & Hybrid Deployments
Aerospike for Real-Time Applications (AdTech, FinTech, Retail, IoT)
ClickHouse Consulting
ClickHouse Migration Services
ClickHouse Optimization & Query Tuning
ClickHouse Database Administration
ClickHouse Backup & Recovery
ClickHouse Security & Maintenance
ClickHouse Cloud Services (ClickHouse Cloud, AWS, GCP, Azure)
ClickHouse Solutions by Industry
ClickHouse High Availability & Replication
TiDB Consulting
TiDB Administration & Maintenance
TiDB Security and Privacy Maintenance
TiDB Performance & Query Optimization
TiDB Migration Services
TiDB Backup & Disaster Recovery
TiDB High Availability Solutions
TiDB Solutions by Industry
TiDB Cloud Services
ScyllaDB Consulting
ScyllaDB Administration & Maintenance
ScyllaDB Security and Privacy Maintenance
ScyllaDB Performance & Query Optimization
ScyllaDB Migration Services
ScyllaDB Backup & Disaster Recovery
ScyllaDB High Availability Solutions
ScyllaDB Solutions by Industry
ScyllaDB Cloud Services
  1. Home
  2. > Blogs
  3. > MySQL
  4. > Understanding the Spider Storage Engine

Understanding the Spider Storage Engine

MariaDB Spider is a storage engine that supports federation and sharding across multiple MySQL or MariaDB servers. It helps distribute data and workloads, making it useful for scaling large datasets, balancing traffic, and improving data retrieval through parallel processing.

Murali September 10, 2026

Subscribe for email updates

Summarize with AI: ChatGPT Google AI Perplexity Claude Grok

Spider storage engine was introduced in MariaDB 10.0.4 as an alpha version. After a long wait, the Spider Engine became stable in MariaDB 10.3.7.

 

What Is the MariaDB Spider Storage Engine?

Spider storage engine comes with built-in sharding features that support partitioning and XA transactions. When a table is created with Spider, the table creates links to the remote server (MySQL / MariaDB).

 

For example,

If the table is created on the Spider Node(10.100.10.10) with Spider Engine, then the table creates a link to connect the Backend Server (10.100.10.15).

Spider Engine - Architecture



It supports both MySQL and MariaDB servers as backend servers.

 

Types of Spider Storage Engine

Currently, Spider Storage Engine has two types:

  • Federation
  • Sharding

1) Federation:

Entire data will be kept on remote data nodes.

 

Spider Engine - Architecture



To use spider, you need a minimum of two or more instances of MariaDB or MySQL, typically running on separate hosts

 

In federation, application sends traffic to Spider node and spider decides on which data node it has to get the data. The data nodes are the MariaDB servers that actually store the table data and in our case, 10.100.10.15 and 10.100.10.18. 

In order for this to work, you need to configure the data nodes to accept queries from the Spider node.
 

Using Federation,

  • Read queries, Spider perform load balancing to the data nodes.
  • Writes queries are mirrored to the data nodes.
  • Full copy of the table on each node.

2) Sharding:

This feature will keep the table data partitioned across different remote backend data nodes (Shards).

 

 

Spider Engine - Architecture
 




As architecture shows, When a table is created in spider node using sharding, data will get split across data nodes as per the partitioned mentioned in the spider node.
 

Sharding in spider is splitting up (or horizontally partition) big tables among several isolated DB instances, called a database shard. We can divide huge tables and load share the traffic to multiple shard servers by using spider.How to shard the data is really interesting. You just mention the native partition in spider node. Lets say, we created Table1 with 2 hash partition in spider node. Part 1 of data will store in 10.100.10.15 and Part 2 of data will get stored in 10.100.10.18 server. You can use all partitioning rules(key, range, hash, and so on).

 

Using Sharding,

  • Ability to store large amounts of data.
  • Quick result during the retrieval process as spider uses certain methods of parallelization.

In what cases is spider useful for you?

  • If your data set is huge and you want to scale horizontally.
  • If you want to split the write traffic across nodes.
  • Different set of storage engines across data nodes.
  • When you need parallel execution and data consistency.

Conclusion

MariaDB Spider provides a practical way to distribute data and workloads across multiple MySQL or MariaDB servers. Federation can help distribute reads and maintain copies of data, while sharding allows large tables to be divided across multiple backend nodes.

 

At Mafiree, we help businesses design, optimize, and manage database environments to handle large-scale workloads with better performance, scalability, and reliability.

 

In the next blog, we would explain a use case where we have faced issue with huge data set and how we have achieved horizontal sharding using Spider storage engine.

FAQ

MariaDB Spider is a storage engine that allows a MariaDB server to access data stored on remote MySQL or MariaDB servers. It provides built-in capabilities for distributed data access, sharding, partitioning, and XA transactions. Spider was introduced experimentally in MariaDB 10.0.4 and became stable in MariaDB 10.3.7.
Spider Federation keeps the complete table data on remote data nodes. Spider acts as the access layer and can distribute read traffic across the remote nodes. Spider Sharding divides a table's data across multiple remote database nodes. Data is distributed according to the partitioning strategy defined on the Spider node, such as HASH, RANGE, or KEY partitioning. Federation is useful when multiple remote copies need to be accessed, while sharding is designed to distribute a large dataset across multiple database servers.
Spider uses MariaDB's partitioning mechanism to determine where rows should be stored. For example, a table can be divided into multiple HASH partitions, with each partition mapped to a different backend database server. This allows a large table to be horizontally partitioned across multiple database instances and can distribute both storage and workload across the shards.
Yes. A MariaDB server using the Spider storage engine can connect to remote MariaDB or MySQL servers as backend data nodes. The Spider node provides the access layer while the actual table data is stored on the configured remote servers.

Leave a Comment

Related Blogs

MySQL Incident Response: When Does Slow Response Signal a Support Model Gap?

Slow MySQL incident resolution is often a symptom of a weak support model—not just a technical problem. Learn how to identify gaps in escalation, monitoring, automation, DBA expertise, and post-incident reviews before they lead to recurring downtime.

  121 views
MySQL Deadlock Analysis: Diagnosing and Resolving Lock Contention in High-Concurrency Workloads

A MySQL deadlock occurs when two or more transactions hold locks that each other needs, creating a circular dependency that prevents them from proceeding. InnoDB detects the deadlock and rolls back one transaction; applications typically receive MySQL error 1213 and should safely retry the transaction. To diagnose a deadlock, start with SHOW ENGINE INNODB STATUS; for recurring incidents, use innodb_print_all_deadlocks and Performance Schema data_locks and data_lock_waits to investigate lock relationships. Common causes include inconsistent transaction ordering, long-running transactions, and inefficient indexing or locking patterns. The most effective fixes are to keep transactions short, access shared resources in a consistent order, optimize the indexes used by locking statements, and implement safe retry handling.

  506 views
MySQL Consulting vs In-House DBA: Which Is Right for Your Team?

Choose an in-house DBA when you need continuous database ownership, deep knowledge of internal systems, and day-to-day operational control. Choose MySQL consulting when you need specialized expertise, performance tuning, migrations, complex troubleshooting, or additional database capacity without hiring a full-time specialist. A hybrid model can be the best fit when your team handles routine database operations internally but needs external expertise for complex projects, peak workloads, or specialized MySQL problems. The right choice depends on workload consistency, technical complexity, required coverage, internal expertise, scalability, and total cost—not simply the hourly or salary cost. Mafiree's managed database services provide ongoing MySQL support alongside specialized database expertise for organizations that need more flexibility than a purely in-house model.

  333 views
MySQL Consultant: When to Call in a Performance Expert

Most MySQL slowdowns are fixable in-house. A smaller set of problems keep coming back, keep growing, or sit outside what routine tuning can solve — and that's the line worth knowing before an incident forces the decision for you.

  395 views
MySQL Performance Issues: 7 Signs You Need Professional Tuning

MySQL performance issues are rarely sudden — they build over time through slow queries, InnoDB buffer pool misses, replication lag, lock contention, thread pile-ups, tablespace bloat, and unstable query plans. This post identifies the seven most reliable signs that your MySQL environment needs professional DBA attention, with diagnostic queries and remediation guidance for each.

  13281 views
Column-Level Security: Enterprise Data Protection Without the Infrastructure Overhead

Column-level security is a native database feature that restricts access to specific table columns by user role. Mafiree implemented this for a client as a cost-effective replacement for a planned CDC replication architecture that existed solely to strip sensitive columns. The result: zero additional infrastructure, single source of truth, full GDPR/HIPAA compliance posture, and validated in production with no performance impact.

  1330 views
MySQL Schema Migration Without Downtime: A Real Fintech Case Study

Schema changes on large MySQL tables can bring production systems to a halt if not handled correctly. This case study walks through how Mafiree helped a fintech client execute a zero-downtime MySQL schema migration on a 500M+ row production database — covering the real challenges faced, the three-phase tool strategy using gh-ost, pt-online-schema-change, and MySQL 8.0 INSTANT DDL, production configuration settings with performance benchmarks, and best practices for safely evolving your MySQL schema without impacting users

  4433 views
MySQL Architecture Explained: Performance Tuning & Troubleshooting Guide

MySQL features a unique tiered architecture that separates query processing from data storage through its pluggable storage engine model. This guide explores the core components—from connection handling and the SQL optimizer to the physical storage of data on disk. By understanding how engines like InnoDB provide ACID compliance and row-level locking, you can significantly improve your database's scalability. We also break down the query execution workflow and provide actionable tips for performance tuning, such as optimizing the buffer pool. Whether you're managing a replica set or a standalone instance, mastering MySQL’s internal structure is essential for building high-performance applications.

  2358 views
MariaDB vs MySQL: What's Different in 2026 and Which One Should You Use

Discover how MariaDB 11.x is redefining open-source databases with cutting-edge features like system-versioned tables, native AI-ready vector support, UUIDv7 for scalable inserts, and enterprise-grade security; all in the Community Edition, without the paywall.

  1814 views
MySQL’s Connection Control Plugin for Brute-Force Protection: A DBA Security Guide

“Fortify Your MySQL Security: Slow Down Attackers with Connection Control Plugin” Learn how the MySQL Connection Control Plugin helps defend against brute-force login attempts by introducing intelligent, progressive delays—without locking out legitimate users.

  13273 views
MySQL 8.4 Migration: Key Changes for IT Leaders

Explore the 8 critical changes in MySQL 8.4 you need to know before migrating your production environment. From authentication updates to InnoDB defaults, this release brings significant operational implications for developers and DBAs.

  499 views
Load Balancing in MySQL: Read and Write Traffic Optimization Using MySQL Router

Optimize MySQL traffic with MySQL Router — smart load balancing made easyRouter Architecture image widget

  2045 views
Check Constraints in MySQL

Master Database Integrity with Check Constraints: Improve Data Quality and System Performance

  13256 views
Guarding Your Account: 5 Essential Tips to Evade Common Password Mistakes.

How to Secure your mysql database with the mysql validate password component

  3627 views
Access Control & Account Management In MySQL 8

Discover how MySQL 8 enhances security through features like password expiry, password validation, account lock/unlock, privilege management, and dual passwords. Safeguard your valuable data and streamline access control in your MySQL environment.

  3966 views
Significance of using Invisible Primary key (GIPK) with MySQL 8.0

How Generated Invisible Primary Keys (GIPK) Can Boost Your Database Efficiency

  3787 views
Optimize Your Database: Exploring MySQL 8.0 JSON Functions

This blog highlights the some of the important JSON function in MySQL 8.0 with examples. Level up your SQL skills with MySQL 8.0's JSON functions.

  5217 views
Best practices on enabling Audit log on MySQL, MariaDB and ProxySQL

Importance of audit log in MySQL, MariaDB and ProxySQL. Best practices to enable audit log

  5272 views
High Availability for MySQL using Orchestrator and ProxySQL

Auto slave promotion without any DBAs intervention using Orchestrator and ProxySQL. If you are looking for a HA solution without going for synchronous replication or Aws RDS then Orchestrator with ProxySQL is a great choice.

  3602 views
Avoid deadlocks, certification failures on Galera Cluster using ProxySQL

Dealing with deadlocks, certification failures on Galera cluster by running single node writer using ProxySQL

  7191 views
MySQL Character Set: UTF8MB4 vs UTF8 and How to Choose the Right Encoding

Choosing the right MySQL character set is critical for ensuring accurate data storage, multilingual support, and proper text comparison. While the legacy utf8 (utf8mb3) character set supports only up to 3-byte characters, it fails to handle modern Unicode requirements such as emojis and certain international symbols. In contrast, utf8mb4 provides full 4-byte Unicode support, making it the recommended standard for modern applications. This guide explains the differences between UTF8MB4 and UTF8, their impact on storage and performance, and provides step-by-step instructions to configure and migrate your MySQL databases safely.

  5928 views
Real time data streaming from MariaDB to Columnstore

How real time data from transactional database(mariadb) to analytic database(columnstore) is achieved using MariaDB's maxscale binlog streaming

  1561 views
Fixing the MariaDB Galera Bug: WSREP Lock Waits

A MariaDB Galera cluster can experience severe stalls when concurrent updates to the same primary key trigger an unexpected deadlock issue. This blog explains how we reproduced the issue in MariaDB 10.2, why the affected node became unresponsive, and the recovery and upgrade options used to resolve it.

  4652 views

Subscribe for email updates

Get in touch with us

Highlights

More than 6000 Servers Monitored

Happy Clients

Certified DBAs

24 x 7 x 365 Support

PCI

Database Services

MySQL MongoDB PostgreSQL SQL Server Aerospike Clickhouse TiDB ScyllaDB

Quick Links

Careers Blog Contact Privacy Policy Disclaimer Policy

Contacts

Linkedin Mafiree Facebook Mafiree Twitter Mafiree

Nagercoil Office

Miru IT Park, Vallankumaranvillai,

Nagercoil, Tamilnadu - 629 002.

Bangalore Office

Unit 303, Vanguard Rise,

5th Main, Konena Agrahara,

Old Airport Road, Bangalore - 560 017.

Call: +91 6383016411

Email: sales@mafiree.com


Copyright © - All Rights Reserved - Mafiree