Using the memcached API, web services can directly access MySQL Cluster data nodes without transformations to SQL, ensuring low latency and high throughput for read/write queries.
Announced as part of the MySQL Cluster labs release, memcached functionality is extended by adding support for write-intensive workloads, a full relational model with ACID compliance (including persistence), rich query support, transparent partitioning for scale-out, 99.999% availability and geographic replication.
Configuration can be specified on a per-key basis using memcache key prefixes, and several memcached servers can connect to multiple MySQL Clusters and serve different roles.
The MySQL Cluster engineering team will present:
- The design features of the memcached API for MySQL Cluster …