README.md

Notes on Time Series Database, unpublished edition

The layout is subject to change, and need to merge w/ libtsdb-go

01 Overview
- what is time series data and why we need time series database
02 Basic
- ? might move it into/before storage chapter
- Primitive Types
  - Endianess How to store larger than one byte value
  - Integer Unsigned and Signed Integer
  - float number and their machine representation (basic for working on compression)
- statistic, distribution, random etc.
- maybe information theory
03 Data Model
- should also contains some basic survey, or link to survey
04 Query Language
- complex query execution would also be interesting
- SQL
- continuous query, prometheus ppl also has an article about it
- ?query execution? a dedicated chapter?
05 Storage
- Compression
- Index
- local and remote backend (other db, s3 etc.)
- distributed
06 Benchmark
- components
  - workload generator
  - stats collector
  - basic math, distribution
  - historgram and lhdr (forgot what's the name ...)
- existing tools, their pro can cons
07 Analysis (a.k.a ml a.k.a import ts as tf)
- prediction
- anomaly detection
08 Monitoring
- ? include log?
09 Tracing
- (keep it in this repo for now)
? IoT and Logging
09 OLAP, MPP
10 Build How to Build a Time Series Database
- features and components (like how to build relational db/search engine/operating system/programming language etc.)
- failure injection and correctness validation
- continuous benchmark