mirrors
/
system-design-primer
mirror of https://github.com/donnemartin/system-design-primer.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

Update video link

pull/502/head
voitau 2020-06-06 11:45:52 -07:00
parent 28e1a8b181
commit d1659a5039
1 changed files with 8 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
README-ru.md
View File

@ -1784,7 +1784,7 @@ l10n:p -->
<p align="center"> <p align="center">
<img src="http://i.imgur.com/Xkm5CXz.png"/> <img src="http://i.imgur.com/Xkm5CXz.png"/>
<br/> <br/>
<i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Source: Scaling up to your first 10 million users</a></i> <i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
</p> </p>
l10n:p --> l10n:p -->
@ -1793,7 +1793,7 @@ l10n:p -->
<p align="center"> <p align="center">
<img src="http://i.imgur.com/Xkm5CXz.png"/> <img src="http://i.imgur.com/Xkm5CXz.png"/>
<br/> <br/>
<i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Источник: Scaling up to your first 10 million users</a></i> <i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
</p> </p>
<!-- l10n:p <!-- l10n:p
@ -1940,7 +1940,7 @@ l10n:p -->
<p align="center"> <p align="center">
<img src="http://i.imgur.com/U3qV33e.png"/> <img src="http://i.imgur.com/U3qV33e.png"/>
<br/> <br/>
<i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Source: Scaling up to your first 10 million users</a></i> <i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
</p> </p>
Federation (or functional partitioning) splits up databases by function. For example, instead of a single, monolithic database, you could have three databases: **forums**, **users**, and **products**, resulting in less read and write traffic to each database and therefore less replication lag. Smaller databases result in more data that can fit in memory, which in turn results in more cache hits due to improved cache locality. With no single central master serializing writes you can write in parallel, increasing throughput. Federation (or functional partitioning) splits up databases by function. For example, instead of a single, monolithic database, you could have three databases: **forums**, **users**, and **products**, resulting in less read and write traffic to each database and therefore less replication lag. Smaller databases result in more data that can fit in memory, which in turn results in more cache hits due to improved cache locality. With no single central master serializing writes you can write in parallel, increasing throughput.
@ -1951,7 +1951,7 @@ l10n:p -->
<p align="center"> <p align="center">
<img src="http://i.imgur.com/U3qV33e.png"/> <img src="http://i.imgur.com/U3qV33e.png"/>
<br/> <br/>
<i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Source: Scaling up to your first 10 million users</a></i> <i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
</p> </p>
Федерализация (или функциональное разделение) разбивает базы данных по функциям. Например, вместо одной монолитной базы данных, можно создать три отдельных базы данных: Федерализация (или функциональное разделение) разбивает базы данных по функциям. Например, вместо одной монолитной базы данных, можно создать три отдельных базы данных:
@ -1976,12 +1976,12 @@ l10n:p -->
<!-- l10n:p <!-- l10n:p
##### Source(s) and further reading: federation ##### Source(s) and further reading: federation
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU) * [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
l10n:p --> l10n:p -->
##### Источники и дополнительные ссылки ##### Источники и дополнительные ссылки
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU) * [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
<!-- l10n:p <!-- l10n:p
#### Sharding #### Sharding
@ -2497,13 +2497,13 @@ l10n:p -->
<!-- l10n:p <!-- l10n:p
##### Source(s) and further reading: SQL or NoSQL ##### Source(s) and further reading: SQL or NoSQL
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU) * [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
* [SQL vs NoSQL differences](https://www.sitepoint.com/sql-vs-nosql-differences/) * [SQL vs NoSQL differences](https://www.sitepoint.com/sql-vs-nosql-differences/)
l10n:p --> l10n:p -->
##### Источники и дополнительные ссылки по SQL or NoSQL ##### Источники и дополнительные ссылки по SQL or NoSQL
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU) * [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
* [SQL vs NoSQL differences](https://www.sitepoint.com/sql-vs-nosql-differences/) * [SQL vs NoSQL differences](https://www.sitepoint.com/sql-vs-nosql-differences/)
<!-- l10n:p <!-- l10n:p