[MongoDB] mongodb sharding cluster on windows platform (4)

I learned about it for a day this weekend and didn't want to learn it any more. After I wrote the first two articles, it took about an hour, if I read more than 80 of the two blogs I just wrote, I will skip this blog. I just saw that one article is exactly 80, and the other is 85 .. Thank you for your motivation. Then

I learned about it for a day this weekend and didn't want to learn it any more. After I wrote the first two articles, it took about an hour, if I read more than 80 of the two blogs I just wrote, I will skip this blog. I just saw that one article is exactly 80, and the other is 85 .. Thank you for your motivation. Then

Preface:

I learned one day this weekend and didn't want to learn any more. I just thought about it for about an hour after I wrote the first two articles, if I read more than 80 of the two blogs I just wrote, I will skip this blog. I just saw that one article is exactly 80, and the other is 85 .. Thank you for your motivation. I will continue to share this blog with you.

The purpose of my blog is to tell you the benefits of sharding clusters. I have already used three articles to talk about sharded clusters, but some friends may be confused. I still don't know the benefits of sharding clusters. In this blog, I plan to use the current framework to describe the benefits of sharding clusters;

1. Massive Data distribution and storage.

I inserted 4000 data records on port 9999. We know that we have defined two shards, shard-a and shard-B. In this way, the two shards can store 9999 pieces of data together. And they are separated.

If the data volume is large, you can set the shards on different servers. Each Service stores a certain amount of data to achieve the overall storage. <喎?http: www.2cto.com kf ware vc " target="_blank" class="keylink"> VcD4KPGgyPrb + workshop/au/Workshop/2 qOstry/Workshop/cyou/workshop + workshop/Workshop/b7dysfN6sirz + workshop + 0 + szmy/Workshop/b7dv + howo8yni + workshop =" http://www.2cto.com/uploadfile/Collfiles/20141110/20141110091554142.png "alt =" \ ">




If you log on to MySQL 30100, the query result is similar.