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Realtime Compute
Introduction
System architecture of Realtime Compute in exclusive mode
Exclusive Mode
Price
Billable items
Billing methods
Specification selection
Preparation
Manage accounts
Activate Realtime Compute and create a project
Role authorization
Grant a RAM role to Realtime Compute in exclusive mode
Flink SQL
Flink SQL overview
Keywords
Basic concepts
Time zone
Time attributes
Watermark
Computed column
Data types
Data type conversion
Mathematical and logical operations between data types
Create a data view
DDL statements
DDL overview
Create a source table
Create a result table
Create a dimension table
DML statement
INSERT INTO statement
EMIT statement
Query statements
SELECT
WHERE statement
HAVING statement
GROUP BY statement
JOIN statement
Dimension table JOIN statement
UNION ALL statement
TopN statement
CEP statement
Deduplication statements
Window functions
Overview
Tumbling window
Hop window
Session window
OVER window
Built-in functions
String functions
Mathematical functions
Date functions
Logical functions
Conditional functions
Table-valued functions
Type conversion function
Aggregate functions
Other functions
UDX
UDX overview
UDF
UDAF
UDTF
Develop a UDX by using IntelliJ IDEA
Flink SQL Development Guide
Overview
Data storage
Overview
Data storage resource registration
Configure whitelists for accessing storage resources
Data development
Develop a job
Publish a job
Start a job
Terminate a job
Job debugging
Local debugging
Online debugging
Data administration
Go to the Job Administration page
Running information
Curve charts
Timeline
Failover
Checkpoints
JobManager
TaskExecutor
Data lineage
Properties and parameters
Job diagnosis
Configuration optimization
Overview
Skills for optimizing the Flink SQL code
Optimize performance by AutoScale
Performance optimization by manual configuration
Typical backpressure scenarios and optimization ideas
Monitoring and alerts
Manage Blink versions of a Realtime Compute cluster in exclusive mode
Log download
Best Practices
Best practices of Realtime Compute in the e-commerce industry
Latest transaction records in e-commerce scenarios
Real-time situation awareness and geographic distribution of orders in e-commerce scenarios
Marketing coupons in e-commerce scenarios
Real-time PV and UV curves in e-commerce scenarios
Best practices of Realtime Compute in the IoT industry
Multidimensional analysis of data from IoT sensors
Best practices of Realtime Compute in the live streaming industry
Core video metric monitoring for live streaming
Digital operations for live streaming
General Reference
Guidelines for the use of documentation
Alibaba Cloud documentation
Instructions for open source documentation
Open-Source Documentation Code of Conduct
Editing Open-Source Documentation
Alibaba Cloud console
Regions and zones
Service limits
Create an AccessKey
ICP Filing
Glossary
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Realtime Compute
Exclusive Mode
Flink SQL
DDL statements
Create a result table
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Realtime Compute
Overview of result tables
Create an AnalyticDB for MySQL V2.0 result table
Create a Log Service result table
Create a MQ result table
Create a Tablestore result table
Create an ApsaraDB for RDS result table
Create a MaxCompute result table
Create an ApsaraDB for HBase result table
Create an Elasticsearch result table
Create a TSDB result table
Create a result table of Alibaba Cloud Message Queue for Apache Kafka
Create a HybridDB for MySQL result table
Create an ApsaraDB RDS for SQL Server result table
Create an ApsaraDB for Redis result table
Create an ApsaraDB for MongoDB result table
Create an AnalyticDB for MySQL V3.0 result table
Create a custom result table
Create an InfluxDB result table
Create a Phoenix5 result table
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