官术网_书友最值得收藏!

Database sharding and partitioning

Between database sharding and partitioning, we can go with database sharding, where we will break it into smaller databases. These smaller databases will be deployed on a separate server:

In general, database sharding is simply defined as a shared-nothing partitioning scheme for large databases. This way, we can achieve a new level of high performance and scalability. Sharding comes from shard and spreading, which means piding a database into chunks (shards) and spreading to different servers.

The preceding diagram is a pictorial overview of how our database is pided into smaller databases. Take a look at the following diagram:

主站蜘蛛池模板: 谢通门县| 凤庆县| 清涧县| 万山特区| 大埔县| 广河县| 余庆县| 买车| 绩溪县| 芮城县| 青海省| 黑龙江省| 区。| 乳山市| 砀山县| 邓州市| 额尔古纳市| 沛县| 潮州市| 太原市| 定日县| 罗田县| 高尔夫| 尼木县| 南靖县| 镇沅| 达日县| 自贡市| 阿拉善右旗| 河曲县| 扎囊县| 甘南县| 宾阳县| 安岳县| 农安县| 三明市| 金塔县| 南华县| 海宁市| 镶黄旗| 裕民县|