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Cloudera Streaming Analytics
1.13.3
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Cloudera Streaming Analytics
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Release Notes
What's new in Cloudera Streaming Analytics
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Deprecation notices in Cloudera Streaming Analytics 1.13.3
Cloudera SQL Stream Builder
Known issues and limitations
Behavioral changes
Unsupported features
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Support Matrix
Component support
System Requirements
Default ports for Flink and Cloudera SQL Stream Builder
Maven dependencies in Flink
Flink API Support
▶︎
Download
Download location of CSA
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Apache Flink Overview
Streaming Analytics in Cloudera
What is Apache Flink?
Core features of Flink
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SQL Stream Builder Overview
What is Cloudera SQL Stream Builder?
Key features of Cloudera SQL Stream Builder
Cloudera SQL Stream Builder architecture
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Quick Start
Quick Start for Flink
Flink Project Template
Quick Start for Cloudera SQL Stream Builder
▶︎
Installation & Upgrade
▶︎
Installation
▶︎
Deployment scenarios
Cluster service layout with Flink
Cluster service layout with Cloudera SQL Stream Builder
Installing CSD and Parcel
▶︎
Adding Flink as a Service
Setting up your HDFS Home directory
Setting the Java executable for the Flink client
▶︎
Configuring Databases for Cloudera SQL Stream Builder
Setting up MySQL/MariaDB database for Cloudera SQL Stream Builder
Setting up PostgreSQL database for Cloudera SQL Stream Builder
Setting up Oracle database for Cloudera SQL Stream Builder
Adding Cloudera SQL Stream Builder as a Service
▶︎
Upgrade
▶︎
Before upgrading your cluster
Stopping Flink applications
Stopping SQL stream jobs
Exporting SQL projects
Upgrading Cloudera Streaming Analytics artifacts and services
▶︎
After upgrading your cluster
Updating Flink job dependencies
Resuming Flink applications
Importing a project
Resuming SQL jobs
▶︎
Migration
Migrating Flink service to a different host
Migrating SQL jobs
▶︎
Security
▶︎
Securing Apache Flink
Authentication and encryption for Flink
▶︎
Enabling security for Apache Flink
Configuring custom Kerberos principal for Apache Flink
Enabling SPNEGO authentication for Flink Dashboard
▶︎
Enabling Knox authentication for Flink Dashboard
Enabling Knox Auto Discovery for Flink
Accessing the Flink Dashboard through Knox
Configuring Ranger policies for Flink
Securing Apache Flink jobs
Using EncryptTool for Flink properties
▶︎
Securing Cloudera SQL Stream Builder
▶︎
Authentication in Cloudera SQL Stream Builder
▶︎
Enabling Kerberos authentication
Configuring custom Kerberos principal for Cloudera SQL Stream Builder
Enabling Knox authentication
Uploading or unlocking your keytab
▶︎
Encryption in Cloudera SQL Stream Builder
Enabling TLS for database connection
Configuring Ranger policies for Cloudera SQL Stream Builder
Managing teams in Streaming SQL Console
▶︎
Using SQL Stream Builder
Getting Started
▶︎
Projects
Creating a project
Navigating in a project
Managing member of a project
▶︎
Source control of a project
Masking information before using source control
Setting the environment for a project
Importing a project
▶︎
Data sources
Adding Kafka Data Source
Adding Catalogs
▶︎
Connectors
Using connectors with templates
Adding new connectors
Kafka connectors
CDC connectors
JDBC connector
Filesystem connector
Datagen connector
Faker connector
Blackhole connector
▶︎
Data formats
Adding data formats
▶︎
Tables
▶︎
Kafka tables
▶︎
Configuring Kafka tables
Schema Definition tab
Event Time tab
Data Transformations tab
Properties tab
Deserialization tab
Assigning Kafka keys in streaming queries
Performance & Scalability
Creating Webhook tables
Flink SQL tables
Iceberg tables
▶︎
SQL jobs
Creating and naming SQL jobs
Running SQL Stream jobs
▶︎
Configuring SQL job settings
Adjusting logging configuration in Advanced Settings
Configuring YARN queue for SQL jobs
Configuring state backend for Cloudera SQL Stream Builder
▶︎
Managing session for SQL jobs
Executing SQL jobs in production mode
▶︎
Functions
Creating Python User-defined Functions
▶︎
Creating Javascript User-defined Functions
Developing JavaScript functions
Creating Java User-defined functions
Using System Functions
▶︎
Materialized views
Creating Materialized Views
Configuring Retention Time for Materialized Views
Materialized View Pagination
Using Dynamic Materialized View Endpoints
Configuring Materialized View database information
Using Cloudera SQL Stream Builder with Cloudera Data Visualization
▶︎
Widgets
Creating widgets
Choosing data sources
Managing data source jobs
Customizing visualization types
Managing widgets on the Dashboard
Notifications
REST API
▶︎
Monitoring
Collecting diagnostic data
Governance
▶︎
Flink SQL
▶︎
Flink DDL
Managing time in Cloudera SQL Stream Builder
Flink DML
Flink Queries
Other supported statements
Data Types
Dynamic SQL Hints
SQL Examples
▶︎
Data Enrichment
Joining streaming and bounded tables
Example: joining Kafka and Kudu tables
Updating SQL queries with PROCTIME function
▼
Using Apache Flink
Running a simple Flink application
▶︎
Application development
▶︎
Flink application structure
Source, operator and sink in DataStream API
Flink application example
Testing and validating Flink applications
▶︎
Configuring Flink applications
Setting parallelism and max parallelism
Configuring Flink application resources
Configuring state backend
Enabling checkpoints for Flink applications
Configuring PyFlink applications
▶︎
DataStream connectors
▶︎
HBase sink with Flink
Creating and configuring the HBaseSinkFunction
▶︎
Kafka with Flink
Schema Registry with Flink
Kafka Metrics Reporter
Kudu with Flink
Iceberg with Flink
File systems
▶︎
Job lifecycle
Setting up Python for PyFlink
Running a Flink job
Using Flink CLI
Enabling savepoints for Flink applications
▼
Monitoring
Enabling Flink DEBUG logging
Flink Dashboard
Streams Messaging Manager integration
▶︎
SQL and Table API
SQL and Table API supported features
▶︎
DataStream API interoperability
Converting DataStreams to Tables
Converting Tables to DataStreams
Supported data types
▶︎
SQL catalogs for Flink
Hive catalog
Kudu catalog
Schema Registry catalog
▶︎
SQL connectors for Flink
Kafka connector
▶︎
Data types for Kafka connector
JSON format
CSV format
▶︎
Avro format
Supported basic data types
Schema Registry formats
▶︎
SQL Statements in Flink
CREATE Statements
DROP Statements
ALTER Statements
INSERT Statements
SQL Queries in Flink
▶︎
Governance
Atlas entities in Flink metadata collection
Creating Atlas entity type definitions for Flink
Verifying metadata collection
▶︎
Reference
Flink Terminology
Cloudera Flink Tutorials
▶︎
Storm Flink Migration
▶︎
Comparing Storm and Flink
Conceptual differences
Differences in architecture
Differences in data distribution
Migrating from Storm to Flink
SQL Stream Builder REST API Reference
Accessing the Flink Dashboard through Knox
Adding Catalogs
Adding Cloudera SQL Stream Builder as a Service
Adding data formats
Adding Flink as a Service
Adding Kafka Data Source
Adding new connectors
Adjusting logging configuration in Advanced Settings
After upgrading your cluster
ALTER Statements
Apache Flink Overview
Application development
Assigning Kafka keys in streaming queries
Atlas entities in Flink metadata collection
Authentication and encryption for Flink
Authentication in Cloudera SQL Stream Builder
Avro format
Before upgrading your cluster
Behavioral changes
Blackhole connector
CDC connectors
Choosing data sources
Cloudera Flink Tutorials
Cloudera SQL Stream Builder
Cloudera SQL Stream Builder architecture
Cloudera Streaming Analytics
Cluster service layout with Cloudera SQL Stream Builder
Cluster service layout with Flink
Collecting diagnostic data
Comparing Storm and Flink
Component support
Conceptual differences
Configuring custom Kerberos principal for Apache Flink
Configuring custom Kerberos principal for Cloudera SQL Stream Builder
Configuring Databases for Cloudera SQL Stream Builder
Configuring Flink application resources
Configuring Flink applications
Configuring Kafka tables
Configuring Materialized View database information
Configuring PyFlink applications
Configuring Ranger policies for Cloudera SQL Stream Builder
Configuring Ranger policies for Flink
Configuring Retention Time for Materialized Views
Configuring SQL job settings
Configuring state backend
Configuring state backend for Cloudera SQL Stream Builder
Configuring YARN queue for SQL jobs
Connectors
Converting DataStreams to Tables
Converting Tables to DataStreams
Core features of Flink
CREATE Statements
Creating a project
Creating and configuring the HBaseSinkFunction
Creating and naming SQL jobs
Creating Atlas entity type definitions for Flink
Creating Java User-defined functions
Creating Javascript User-defined Functions
Creating Materialized Views
Creating Python User-defined Functions
Creating Webhook tables
Creating widgets
CSV format
Customizing visualization types
Data Enrichment
Data formats
Data sources
Data Transformations tab
Data Types
Data types for Kafka connector
Datagen connector
DataStream API interoperability
DataStream connectors
Default ports for Flink and Cloudera SQL Stream Builder
Deployment scenarios
Deprecation notices in Cloudera Streaming Analytics 1.13.3
Deserialization tab
Developing JavaScript functions
Differences in architecture
Differences in data distribution
Download
Download location of CSA
DROP Statements
Dynamic SQL Hints
Enabling checkpoints for Flink applications
Enabling Flink DEBUG logging
Enabling Kerberos authentication
Enabling Knox authentication
Enabling Knox authentication for Flink Dashboard
Enabling Knox Auto Discovery for Flink
Enabling savepoints for Flink applications
Enabling security for Apache Flink
Enabling SPNEGO authentication for Flink Dashboard
Enabling TLS for database connection
Encryption in Cloudera SQL Stream Builder
Event Time tab
Example: joining Kafka and Kudu tables
Executing SQL jobs in production mode
Exporting SQL projects
Faker connector
File systems
Filesystem connector
Flink API Support
Flink application example
Flink application structure
Flink Dashboard
Flink DDL
Flink DML
Flink Project Template
Flink Queries
Flink SQL
Flink SQL tables
Flink Terminology
Functions
Getting Started
Governance
Governance
HBase sink with Flink
Hive catalog
Iceberg tables
Iceberg with Flink
Importing a project
Importing a project
INSERT Statements
Installation
Installation & Upgrade
Installing CSD and Parcel
JDBC connector
Job lifecycle
Joining streaming and bounded tables
JSON format
Kafka connector
Kafka connectors
Kafka Metrics Reporter
Kafka tables
Kafka with Flink
Key features of Cloudera SQL Stream Builder
Known issues and limitations
Kudu catalog
Kudu with Flink
Managing data source jobs
Managing member of a project
Managing session for SQL jobs
Managing teams in Streaming SQL Console
Managing time in Cloudera SQL Stream Builder
Managing widgets on the Dashboard
Masking information before using source control
Materialized View Pagination
Materialized views
Maven dependencies in Flink
Migrating Flink service to a different host
Migrating from Storm to Flink
Migrating SQL jobs
Migration
Monitoring
Monitoring
Navigating in a project
Notifications
Other supported statements
Performance & Scalability
Projects
Properties tab
Quick Start
Quick Start for Cloudera SQL Stream Builder
Quick Start for Flink
Reference
Release Notes
REST API
Resuming Flink applications
Resuming SQL jobs
Running a Flink job
Running a simple Flink application
Running SQL Stream jobs
Schema Definition tab
Schema Registry catalog
Schema Registry formats
Schema Registry with Flink
Securing Apache Flink
Securing Apache Flink jobs
Securing Cloudera SQL Stream Builder
Security
Setting parallelism and max parallelism
Setting the environment for a project
Setting the Java executable for the Flink client
Setting up MySQL/MariaDB database for Cloudera SQL Stream Builder
Setting up Oracle database for Cloudera SQL Stream Builder
Setting up PostgreSQL database for Cloudera SQL Stream Builder
Setting up Python for PyFlink
Setting up your HDFS Home directory
Source control of a project
Source, operator and sink in DataStream API
SQL and Table API
SQL and Table API supported features
SQL catalogs for Flink
SQL connectors for Flink
SQL Examples
SQL jobs
SQL Queries in Flink
SQL Statements in Flink
SQL Stream Builder Overview
Stopping Flink applications
Stopping SQL stream jobs
Storm Flink Migration
Streaming Analytics in Cloudera
Streams Messaging Manager integration
Support Matrix
Supported basic data types
Supported data types
System Requirements
Tables
Testing and validating Flink applications
Unsupported features
Updating Flink job dependencies
Updating SQL queries with PROCTIME function
Upgrade
Upgrading Cloudera Streaming Analytics artifacts and services
Uploading or unlocking your keytab
Using Apache Flink
Using Cloudera SQL Stream Builder with Cloudera Data Visualization
Using connectors with templates
Using Dynamic Materialized View Endpoints
Using EncryptTool for Flink properties
Using Flink CLI
Using SQL Stream Builder
Using System Functions
Verifying metadata collection
What is Apache Flink?
What is Cloudera SQL Stream Builder?
What's new in Cloudera Streaming Analytics
Widgets
«
Filter topics
Monitoring
Running a simple Flink application
▶︎
Application development
▶︎
Flink application structure
Source, operator and sink in DataStream API
Flink application example
Testing and validating Flink applications
▶︎
Configuring Flink applications
Setting parallelism and max parallelism
Configuring Flink application resources
Configuring state backend
Enabling checkpoints for Flink applications
Configuring PyFlink applications
▶︎
DataStream connectors
▶︎
HBase sink with Flink
Creating and configuring the HBaseSinkFunction
▶︎
Kafka with Flink
Schema Registry with Flink
Kafka Metrics Reporter
Kudu with Flink
Iceberg with Flink
File systems
▶︎
Job lifecycle
Setting up Python for PyFlink
Running a Flink job
Using Flink CLI
Enabling savepoints for Flink applications
▼
Monitoring
Enabling Flink DEBUG logging
Flink Dashboard
Streams Messaging Manager integration
▶︎
SQL and Table API
SQL and Table API supported features
▶︎
DataStream API interoperability
Converting DataStreams to Tables
Converting Tables to DataStreams
Supported data types
▶︎
SQL catalogs for Flink
Hive catalog
Kudu catalog
Schema Registry catalog
▶︎
SQL connectors for Flink
Kafka connector
▶︎
Data types for Kafka connector
JSON format
CSV format
▶︎
Avro format
Supported basic data types
Schema Registry formats
▶︎
SQL Statements in Flink
CREATE Statements
DROP Statements
ALTER Statements
INSERT Statements
SQL Queries in Flink
▶︎
Governance
Atlas entities in Flink metadata collection
Creating Atlas entity type definitions for Flink
Verifying metadata collection
▶︎
Reference
Flink Terminology
Cloudera Flink Tutorials
»
Using Apache Flink
Monitoring
Enabling Flink DEBUG logging
You can review the log text files of the Flink jobs when an error is detected during the processes. When you set the log level of Flink to DEBUG, you can easily trace the log file for errors.
Flink Dashboard
The Flink Dashboard is a built-in monitoring interface for Flink applications in
Cloudera Streaming Analytics
. You can monitor your running, completed and stopped Flink jobs on the dashboard. You reach the Flink Dashboard through
Cloudera Manager
.
Streams Messaging Manager integration
You can use the Streams Messaging Manager (SMM) UI to monitor end-to-end latency of your Flink application when using Kafka as a datastream connector.
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