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Realtime Compute
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Introduction
What is Alibaba Cloud Realtime Compute for Apache Flink?
System architecture of Realtime Compute in exclusive mode
Service types
Scenarios
Exclusive Mode
Announcement
Release notes
Blink-3.6.8
Blink-3.6.5
Blink 3.6.2
Blink 3.6.0
Blink-3.5.0-hotfix
Blink 3.4.3
Blink 3.4.4
Blink 3.3.0
Blink 3.2.3
Blink 3.2.1
Blink 3.2.1 release notes
API compatibility report: Blink 3.2 and Flink 1.5.1
Incompatible SQL items: Blink 3.0 and Blink 2.0
Product Introduction
Overview
Limits
Development history
Upstream and downstream data stores
Workflow
Product security
Realtime Compute for Apache Flink console
Pricing
Billable items
Billing
Specification selection
Renewal
Manual renewal
Auto-renewal
Change resource configurations
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
GROUPING SETS clause
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
Overview
UDF
UDAF
UDTF
Develop a UDX by using IntelliJ IDEA
Flink SQL Development Guide
Overview
Data storage
Overview
Data storage resource registration
Authorize Realtime Compute to access a VPC
Configure a whitelist for accessing storage resources
Data development
Develop a job
Publish a job
Start a job
Suspend 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
Performance optimization by using automatic configuration
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
Flink Datastream Development Guide
Overview
Configure a whitelist for accessing storage resources
Set custom parameters
Monitoring and alerting
Develop a job
Publish a job
Example of DataStream jobs
Read data from Alibaba Cloud DataHub
Read data from Message Queue for Apache Kafka
Read data from Alibaba Cloud DataHub and write data to ApsaraDB for HBase
Read data from Log Service
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
Agreements
Realtime Compute for Apache Flink Service Level Agreement
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 pair
ICP Filing
Glossary
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Flink SQL
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