刷題學習打卡 T-15

3/1
Reading:
iOS programming chp5, 6-wip
Designing Data-Intensive Applications: chp4 - wip

3/1
Reading:
iOS programming chp5, 6 wip
Designing Data-Intensive Applications: chp4 -cont

3/2
Reading:
Designing Data-Intensive Applications: chp4 done.
Keyword, different data encoding format, binary schema driven formats: Thrift, Protocol Buffer, Avro textual: JSON, XML, CSV and their limitations(rolling upgrade, code generation vs dynamically typed language, backward, forward compatibility, RPC(the wrong assumptions of it), RESTFUL, Message brokers, actor model.

LC:
119. Pascal's Triangle II
277. Find the Celebrity
997. Find the Town Judge

3/3
Reading:
Designing Data-Intensive Applications: chp5 wip
iOS programming chp6, 7 wip

lz 好厲害 加油

3/4
Reading:
NOSQL Patterns:http://horicky.blogspot.com/2009/11/nosql-patterns.html
Erlang at Facebook: http://www.erlang-factory.com/up ... rlangatFacebook.pdf
iOS programming chp7
Designing Data-Intensive Applications: chp5 wip
LC:
88. Merge Sorted Array

3/5
Reading:
- Hadoop Map/Reduce Implementation: http://horicky.blogspot.com/2008 ... implementation.html, key word: no share state at functional language thus easier for parallelism <-> JobTracker is a shared state
iOS programming chp8

LC:
121. Best Time to Buy and Sell Stock
122. Best Time to Buy and Sell Stock II
1002. Find Common Characters

3/6
Reading:
iOS programming chp9 done

3/7
Reading:
Designing Data-Intensive Applications: chp5 wip

3/8
Reading:
Designing Data-Intensive Applications: chp5 done. Keyword: HA, replication model: single leader. multi leader, leader less. and pros/cons at multi data center scenario. consistency model: read after write, monotonic read, consistent prefix reads, alg to determine concurrency, tombstone to mark delete.
chp6 wip

3/9  Designing Data-Intensive Applications: chp6 wip

3/10  Designing Data-Intensive Applications: chp6 done Keyword: key range  vs hash partitioning, pros and cons, sorting vs load balance, hot spot; ways to partition secondary index: document -partitioned indexes(local) vs term-partitioned indexes(global) , pros and cons on read vs write; request routing and zookeeper, parallel query execution