payload: {"action":"created","issue":{"url":"https://api.github.com/repos/HbnKing/MongoDB/issues/49","repository_url":"https://api.github.com/repos/HbnKing/MongoDB","labels_url":"https://api.github.com/repos/HbnKing/MongoDB/issues/49/labels{/name}","comments_url":"https://api.github.com/repos/HbnKing/MongoDB/issues/49/comments","events_url":"https://api.github.com/repos/HbnKing/MongoDB/issues/49/events","html_url":"https://github.com/HbnKing/MongoDB/issues/49","id":456052191,"node_id":"MDU6SXNzdWU0NTYwNTIxOTE=","number":49,"title":"In which of the following situations can we assume sharding will be an effective strategy?","user":{"login":"HbnKing","id":22213280,"node_id":"MDQ6VXNlcjIyMjEzMjgw","avatar_url":"https://avatars3.githubusercontent.com/u/22213280?v=4","gravatar_id":"","url":"https://api.github.com/users/HbnKing","html_url":"https://github.com/HbnKing","followers_url":"https://api.github.com/users/HbnKing/followers","following_url":"https://api.github.com/users/HbnKing/following{/other_user}","gists_url":"https://api.github.com/users/HbnKing/gists{/gist_id}","starred_url":"https://api.github.com/users/HbnKing/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/HbnKing/subscriptions","organizations_url":"https://api.github.com/users/HbnKing/orgs","repos_url":"https://api.github.com/users/HbnKing/repos","events_url":"https://api.github.com/users/HbnKing/events{/privacy}","received_events_url":"https://api.github.com/users/HbnKing/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2019-06-14T04:13:48Z","updated_at":"2019-06-14T04:14:40Z","closed_at":null,"author_association":"OWNER","body":"In which of the following situations can we assume sharding will be an effective strategy?\r\n\r\n选项如下\r\nA single MongoDB instance cannot keep up with your application's write load and you have exhausted other options.\r\nYour data set is too big to fit in a single MongoDB instance.\r\nYou would like to improve read performance for your application.\r\nThe data set is taking too much time to backup and restore.\r\nAll of the above"},"comment":{"url":"https://api.github.com/repos/HbnKing/MongoDB/issues/comments/501961233","html_url":"https://github.com/HbnKing/MongoDB/issues/49#issuecomment-501961233","issue_url":"https://api.github.com/repos/HbnKing/MongoDB/issues/49","id":501961233,"node_id":"MDEyOklzc3VlQ29tbWVudDUwMTk2MTIzMw==","user":{"login":"HbnKing","id":22213280,"node_id":"MDQ6VXNlcjIyMjEzMjgw","avatar_url":"https://avatars3.githubusercontent.com/u/22213280?v=4","gravatar_id":"","url":"https://api.github.com/users/HbnKing","html_url":"https://github.com/HbnKing","followers_url":"https://api.github.com/users/HbnKing/followers","following_url":"https://api.github.com/users/HbnKing/following{/other_user}","gists_url":"https://api.github.com/users/HbnKing/gists{/gist_id}","starred_url":"https://api.github.com/users/HbnKing/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/HbnKing/subscriptions","organizations_url":"https://api.github.com/users/HbnKing/orgs","repos_url":"https://api.github.com/users/HbnKing/repos","events_url":"https://api.github.com/users/HbnKing/events{/privacy}","received_events_url":"https://api.github.com/users/HbnKing/received_events","type":"User","site_admin":false},"created_at":"2019-06-14T04:14:40Z","updated_at":"2019-06-14T04:14:40Z","author_association":"OWNER","body":"Detailed Answer\r\n\r\nThe common thread in the above answer choices is a bottleneck on resources, or for \"taking too much time to backup and restore\" a function of your operational requirements. Breaking the dataset over shards will mean that each server will have more resources available to handle the subset of data it owns, and operations of moving data across machines for replication, backups, restores will also be faster\r\n\r\nTo learn more, visit the following MongoDB Documentation page:\r\n\r\nAdvantages of Sharding\r\n\r\nanswer \r\nall of the above"}}
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