Paper Notes
1.
benchmarks
1.1.
ssb
2.
bigdata
2.1.
mapreduce
2.2.
nephele
2.3.
dataflow model
2.4.
flink
2.5.
flink state management
3.
databases
3.1.
columnstores vs rowstores
3.2.
kv
3.2.1.
rocksdb cidr17
3.3.
mmdb
3.3.1.
mmdb overview
3.4.
olap
3.4.1.
lakehouse
3.4.2.
delta lake
3.5.
cdc
3.5.1.
dblog
3.6.
rum conjecture
4.
datalayout
4.1.
cstore
4.2.
dremel
4.3.
rcfile
4.4.
orc
5.
data structures
5.1.
skip list
5.2.
bloom filter
6.
distributed system
6.1.
consensus
6.1.1.
flp
6.1.2.
paxos made simple
6.1.3.
paxos made live
6.1.4.
viewstamped replication
6.1.5.
zab
6.1.6.
paxos vs. vr vs. zab
6.1.7.
raft
6.1.8.
paxos vs raft
6.2.
scheduler
6.2.1.
borg
6.3.
primary backup
6.4.
chain replication
6.5.
bolosky
6.6.
holy grail
6.7.
chandy lamport
6.8.
asynchronous barrier snapshotting
6.9.
zookeeper
7.
filesystem
7.1.
gfs
7.2.
polarfs
8.
storage
8.1.
kv store
8.1.1.
dynamo
8.2.
kudu
8.3.
bluestore
Light (default)
Rust
Coal
Navy
Ayu
论文阅读笔记
databases
Column-stores vs. row-stores: how different are they really?
Main Memory Database Systems
Main Memory Database Systems: An Overview
KV databases
OLAP
Lakehouse: A New Generation of Open Platforms that Unify DataWarehousing and Advanced Analytics
Change Data Capture
DBLog: AWatermark Based Change-Data-Capture Framework
[Designing Access Methods: The RUM Conjecture][run]