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.
oltp
3.4.1.
through the looking glass
3.4.2.
staring into the abyss
3.5.
olap
3.5.1.
lakehouse
3.5.2.
delta lake
3.5.3.
vertica
3.6.
htap
3.6.1.
greenplum
3.7.
concurrency control
3.7.1.
evaluation of in-memory mvcc
3.8.
cdc
3.8.1.
dblog
3.9.
rum conjecture
4.
datalayout
4.1.
cstore
4.2.
cstore compression
4.3.
dremel
4.4.
rcfile
4.5.
orc
4.6.
table placement methods
5.
data structures
5.1.
btree family
5.1.1.
bw-tree
5.2.
trie family
5.2.1.
art
5.3.
skip list
5.4.
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
bigdata
MapReduce: Simplified Data Processing on Large Clusters
Nephele: Efficient Parallel Data Processing in the Cloud
The Dataflow Model
Apache Flink: Stream and Batch Processing in a Single Engine
State Management in Apache Flink