High performance computing

SPL practice: space-time collision problem that renders MPP powerless to solve
SPL practice: solve space-time collision problem of trillion-scale calculations in only three minutes
SPL practice: high-concurrency account queries
SPL practice: multi-index calculation in real time
SPL practice: customer profile
SPL practice: funnel analysis
SPL practice: query massive and flexible structured data
SPL practice: improve concurrency through route calculation
SPL practice: implement real-time write, second-level count of daily 10 billion time series data on a single node
SPL practice: search high-dimensional binary vectors

Applied Computing

SPL Practice: Structured Text computing
SPL Practices: Cross-database SQL Migration
SPL Practice Series: Data Dump and Comparison
SPL Practices：Mixed-Source Computing
SPL Practice: Data Comparison between Different Types of Databases

Data maintenance

SPL practice: data flow during speeding up batch job
SPL practice: migrate computing tasks out of database
SPL Practice: Data Comparison between Different Types of Databases
SPL Practice: integerization during data dump

Data maintenance routine
Hot data caching routine

Routine for regular and active update of small amounts of data
Routine for regular maintenance of single composite table
Routine for regular maintenance of multi-zone composite table
Routine for real-time data appending
Routine for real-time data updating
Routine for real-time data appending - avoid small tables by means of memory

User Behavior Analysis

User Behavior Analysis in Practice 1: Conventional Grouping and Aggregation
User Behavior Analysis in Practice 2: Redundant Grouping Key Field
User Behavior Analysis in Practice 3: Order-based Filtering Using Binary Search
User Behavior Analysis in Practice 4: Using Column-wise Storage
User Behavior Analysis in Practice 5: Using Dimension Table
User Behavior Analysis in Practice 6: Numberizing the Dimension Table
User Behavior Analysis in Practice 7: Dimension Table Filtering
User Behavior Analysis in Practice 8: The Changing Dimension Table
User Behavior Analysis in Practice 9: Enumerated Dimension and Tag Dimension
User Behavior Analysis in Practice 10: Ordered Storage by Account
User Behavior Analysis in Practice 11: Order-based Grouping
User Behavior Analysis in Practice 12: Using Pseudo Tables
User Behavior Analysis in Practice 13: Bi-dimension Ordering
User Behavior Analysis in Practice 14: Real-time T+0 Analysis

Multidimensional Analysis Backend

Multidimensional Analysis Backend Practice 1: Basic Wide Table
Multidimensional Analysis Backend Practice 2: Data Type Optimization
Multidimensional Analysis Backend Practice 3: Dimensions Sorting and Compression
Multidimensional Analysis Backend Practice 4: Pre-aggregate and Redundant Sorting
Multidimensional Analysis Backend Practice 5: small fact table associate with small dimension table
Multidimensional Analysis Backend Practice 6: big fact table associate with small dimension table
Multidimensional Analysis Backend Practice 7: Boolean Dimension and Binary Dimension
Multidimensional Analysis Backend Practice 8: Primary-sub Table and Parallel Calculation

Quantitative Model

SPL quantitative practice series: backtesting routine