Advanced Sharding Techniques with Spider (MUC2010)Kentoku
1. Create a new empty table on the new server with the same schema. 2. Copy data from an existing node to the new table using Spider's copy functionality. 3. Update the connection string to include the new server and update the monitoring and link status. 4. The new server is now online and available to serve queries as part of the cluster.
Newest topic of spider 20131016 in Buenos Aires ArgentinaKentoku
Spider Storage Engine is a plugin for MySQL/MariaDB that allows tables to be sharded across multiple database servers for high traffic processing and parallel querying. It provides a single interface to applications while data is stored across multiple databases. Spider tables can reference tables in MySQL, MariaDB, and OracleDB. This allows huge amounts of data to be divided across servers transparently to users. Spider also includes features for fault tolerance, fulltext/geo search, and integration with other plugins like Handlersocket and Mroonga for additional functionality.
Galaxy Big Data with MariaDB 10 by Bernard Garros, Sandrine Chirokoff and Stéphane Varoqui.
Presented 26.6.2014 at the MariaDB Roadshow in Paris, France.
Spider's HA structure includes data nodes, spider nodes, and monitoring nodes. Data nodes store data, spider nodes provide load balancing and failover, and monitoring nodes monitor data nodes. To add a new data node without stopping service: 1) Create a new table on the node, 2) Alter tables on monitoring nodes to include new node, 3) Alter clustered table connection to include new node, 4) Copy data to new node. This maintains redundancy when a node fails without service interruption.
The document summarizes the results of a performance test of the Spider Storage Engine used for MySQL database sharding. The test measured the time to perform insert, select, update, and delete operations on tables with increasing numbers of records. Systems using 2 and 4 MySQL servers with Spider (sp2_r2 and sp4_r4) generally had faster performance than a single server configuration (r1), especially as the number of records increased, showing that Spider can help improve performance by enabling sharding across multiple database servers.
This document discusses Spider, a storage engine plugin for MariaDB/MySQL that allows sharding and partitioning of tables across multiple remote databases. Key points:
- Spider provides database sharding by using table partitioning to divide huge datasets across multiple servers for high traffic processing and parallel processing.
- An application can use multiple backend databases as one database through Spider by connecting only to the Spider database.
- Spider's features include redundancy, fault tolerance, fulltext/geo search, and connecting to Oracle databases. Its roadmap includes improving startup performance, reducing memory usage, and direct joining of data on backend nodes.
When your database is growing, you definitely need to think about other techniques like database sharding. SPIDER is a MariaDB Server / MySQL storage engine for database sharding. Using SPIDER, you can access your data efficiently across multiple database backends.
In this time we will introduce the following things.
1. why SPIDER? what SPIDER can do for you?
2. when SPIDER is right for you? what cases should you use SPIDER?
3. how long is SPIDER used in the big environment?
4. SPIDER sharding architecture
5. how to get SPIDER working?
6. multi dimenstional sharding technique with VP storage engine
7. roadmap of SPIDER
8. where to get SPIDER (with VP)
Advanced Sharding Techniques with Spider (MUC2010)Kentoku
1. Create a new empty table on the new server with the same schema. 2. Copy data from an existing node to the new table using Spider's copy functionality. 3. Update the connection string to include the new server and update the monitoring and link status. 4. The new server is now online and available to serve queries as part of the cluster.
Newest topic of spider 20131016 in Buenos Aires ArgentinaKentoku
Spider Storage Engine is a plugin for MySQL/MariaDB that allows tables to be sharded across multiple database servers for high traffic processing and parallel querying. It provides a single interface to applications while data is stored across multiple databases. Spider tables can reference tables in MySQL, MariaDB, and OracleDB. This allows huge amounts of data to be divided across servers transparently to users. Spider also includes features for fault tolerance, fulltext/geo search, and integration with other plugins like Handlersocket and Mroonga for additional functionality.
Galaxy Big Data with MariaDB 10 by Bernard Garros, Sandrine Chirokoff and Stéphane Varoqui.
Presented 26.6.2014 at the MariaDB Roadshow in Paris, France.
Spider's HA structure includes data nodes, spider nodes, and monitoring nodes. Data nodes store data, spider nodes provide load balancing and failover, and monitoring nodes monitor data nodes. To add a new data node without stopping service: 1) Create a new table on the node, 2) Alter tables on monitoring nodes to include new node, 3) Alter clustered table connection to include new node, 4) Copy data to new node. This maintains redundancy when a node fails without service interruption.
The document summarizes the results of a performance test of the Spider Storage Engine used for MySQL database sharding. The test measured the time to perform insert, select, update, and delete operations on tables with increasing numbers of records. Systems using 2 and 4 MySQL servers with Spider (sp2_r2 and sp4_r4) generally had faster performance than a single server configuration (r1), especially as the number of records increased, showing that Spider can help improve performance by enabling sharding across multiple database servers.
This document discusses Spider, a storage engine plugin for MariaDB/MySQL that allows sharding and partitioning of tables across multiple remote databases. Key points:
- Spider provides database sharding by using table partitioning to divide huge datasets across multiple servers for high traffic processing and parallel processing.
- An application can use multiple backend databases as one database through Spider by connecting only to the Spider database.
- Spider's features include redundancy, fault tolerance, fulltext/geo search, and connecting to Oracle databases. Its roadmap includes improving startup performance, reducing memory usage, and direct joining of data on backend nodes.
When your database is growing, you definitely need to think about other techniques like database sharding. SPIDER is a MariaDB Server / MySQL storage engine for database sharding. Using SPIDER, you can access your data efficiently across multiple database backends.
In this time we will introduce the following things.
1. why SPIDER? what SPIDER can do for you?
2. when SPIDER is right for you? what cases should you use SPIDER?
3. how long is SPIDER used in the big environment?
4. SPIDER sharding architecture
5. how to get SPIDER working?
6. multi dimenstional sharding technique with VP storage engine
7. roadmap of SPIDER
8. where to get SPIDER (with VP)
2015年8月31日に開催されたCouchbase Live Tokyoで利用した資料です。間もなくリリースされるCouchbase Server 4.0、N1QL、インデクシング、MDS (Multi-Dimensional-Scalability)、ForestDB、セキュリティといった新機能についてご紹介しました。
MySQL 5.7 and MySQL 8.0 have an issue that all slave's replications are stopped.
Current status of fixing
MySQL 5.7 fixed at 5.7.25
MySQL 8.0 fixed at 5.8.14
This document discusses different ways to migrate an existing database table to a sharded structure using the Spider storage engine in MariaDB. It covers using replication, triggers, Spider functions, and vertical partitioning. The replication method involves copying data to new tables, starting replication, and switching to the new structure. The trigger method uses triggers to copy data in real-time. Spider functions allow copying data without locks. Vertical partitioning splits the table across multiple servers based on column values.
4. 構成例
col_a%3=0 col_a%3=1 col_a%3=2
tbl_a tbl_a tbl_a
DB1 DB2 DB3
3.Choose a connection and get data
tbl_a tbl_a tbl_a
DB DB DB
2.Request 4.Response
AP1
from application AP2
to application AP3
1.Request 5.Response
from client to client
tbl_a.col_a = 1
の部分にSpiderのテーブルがあります。
5. 動作イメージ
tbl_a tbl_b tbl_c
DB1 DB2 DB3
SPIDER
2.Just connect to spider
AP
1.Request 3.Response
select tbl_b