The path for programmers to learn SPL

SPL Operations for Beginners

How to use SPL storage for beginners

【Book&Course 】

SPL Programming
SPL Performance optimization
SPL CookBook

【Data source】

SPL: Reading and Writing Database Data
SPL: Translating SQL across databases
SPL: Parallel data retrieval skill
SPL: Data dump
SPL: Reading and Writing Structured Text Files
SPL: Reading, writing, and parsing of unstructured text
SPL: Reading and Writing Excel Files
SPL: Operation on the directory of a file
SPL: Reading and Writing JSON Data
SPL: Reading and Writing XML Data
SPL: Access to HTTP/WebService/Restful service
SPL: Access MongoDB
SPL: Access HDFS
SPL: Access HBase
SPL: Access Redis
SPL: Access FTP
SPL: Access Cassandra
SPL: Access Kafka
SPL: Access InfluxDB
SPL: Access Elasticsearch

【File operations】

SPL general table operations
Samples of Merging and Splitting Files
Samples of Comparing Files
Sample Programs of Performing Distinct on a File
SQL Query over File Examples
Sample Programs of Structuralizing Excel Files
Samples of Generating Various Excel Files
Samples of Processing Big Text File

【Call SPL in applications】

How to Call an SPL Script in Java
How to Call a Remote SPL Script in Java
How to Call an SPL Script in C#
How to Call an SPL Script using HTTP Service
How to Call an SPL Script in BIRT
How to Call an SPL Script in JasperReport
How to Call an SPL Script in Python
SPL: integrated with Kettle
esProc Boot Time Auto-Start Service
SPL: Invoking Java Functions
SPL: User-defined Functions
How to Call a Python Program from SPL
Spring Cloud integrate SPL to implement microservices
Integrate SPL in Android apps

【Operational logic】

General SQL-style Operations in SPL
General SQL-style Operations on Cursors in SPL
SPL: Text Handling
SPL: Date, Time and Datetime Handling
SPL: taking the record of maximum values/maximum values in group
SPL: recounting after obtaining a grouped subset
SPL: TopN and TopN in group
SPL: selecting data by segment
SPL: grouping & aggregation
SPL: adjacent record reference
SPL: order-related grouping
SPL: grouping and sorting aligned by a specified criterion
SPL: grouping and sorting aligned by sequence number
SPL: grouping by enumeration criteria
SPL: Recursively Search Referenced Records
SPL: Set Operations
SPL: Static Transposition
SPL: Complicated Static Transposition
SPL: One-to-One Table Associations
SPL: One-to-many Table Associations

The Select Operation on Structured Data
Loop Computations
Accessing Members of a Structured Data Set by Sequence Numbers
Locate Operation on Ordered Sets
Alignment Operations between Ordered Sets
“Top N” Queries on Structured Data
Existence Checking for Structured Data
Membership Test for Structured Data
Non-basic Aggregation Examples
Handling Alignment Grouping

【High-performance algorithm】

Performance Optimization Exercises Using TPC-H
Performance optimization skill: Use Multi-purpose traverse to speed up multiple grouping
Performance optimization skill：TopN
Performance optimization skill: Pre-Joining
Performance optimization skill: Partial Pre-Association
Performance optimization skill: Numberizing Foreign Key
Performance optimization skill: Association For Dimension Table Filtering & Computation
Performance optimization skill: Ordered MERGE
Performance optimization skill: Ordered Locate Association to speed up the filtering on joined primary-sub tables
Performance optimization skill: Attached Table
Performance optimization skill: Associating Small Fact Table with Big Dimension Table
Performance optimization skill: Associating Big Fact Table with Big Dimension Table
Performance optimization skill: ordered grouping
Performance Optimization Skill: Second-half Ordered Grouping
Performance Optimization Skill: First-half Ordered Sorting

SQL Performance Enhancement: IN Operator in WHERE Clause
SQL Performance Enhancement: Segmentation-based Grouping & Aggregation
SQL Performance Enhancement: TopN and Intra-group TopN
SQL Performance Enhancement: DISTINCT & COUNT(DISTINCT) on Big Data
SQL Performance Enhancement: Big Table Associations on the Primary Key
SQL Performance Enhancement: Multiple Grouping & Aggregate Operations on a Big Table
SQL Performance Enhancement: Select the Earliest Records in each Group
SQL Performance Enhancement: Count N Earliest Events in each Group
SQL Performance Enhancement: Conversion Funnel Analysis
SQL Performance Enhancement: Binary Flag
SQL Performance Enhancement: Queries on Highly Concurrent Accounts
SQL Performance Enhancement: highly concurrent queries with associated dimension table

【Technical Topics】

Double increment segmentation of SPL
https://c.scudata.com/article/1645175380545
One-side partitioning algorithm of SPL
In-memory index of SPL
External storage index of SPL
Full-text index of SPL
Multipurpose traversal of SPL
SPL Program Cursor
SPL Order-based Merge Join
SPL Attached Table
Association location algorithm of SPL
Pre-calculating mechanism of SPL
SPL Pseudo Table Bi-dimension Ordering Mechanism

【Series of Practices】

Performance Optimization Practice

【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 background】

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