- Product Bulletin
- Service Overview
- Billing
- Getting Started
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User Guide
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Using HBase
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HBase Cluster Management
- Overview
- Managing Clusters
- Preparing an ECS
- Using HBase
- HBase Cold and Hot Data Separation
- HBase Thrift Server
- HBase Secure Channel Encryption
- HBase Batch Data Import
- HBase Monitoring Clusters
- Self-Healing from HBase Hotspotting
- Global Secondary Indexes
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HBase Cluster Management
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Using Doris
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Doris Cluster Management
- Overview
- Doris Specification Restrictions
- Managing Doris Clusters
- Using Doris
- Doris User Management
- Doris Role Management
- Doris Slow Query Management
- Tenant Management
- Managing Doris Connections
- Enabling HTTPS for a Doris Cluster
- Doris Monitoring Clusters
-
Doris Cluster Management
-
Using ClickHouse
-
ClickHouse Cluster Management
- Overview
-
Managing ClickHouse Clusters
- Creating a ClickHouse Cluster
- Introduction to ClickHouse Cluster Management
- Viewing the Basic Information of a ClickHouse Cluster
- Restarting a ClickHouse Cluster
- Deleting a ClickHouse Cluster
- ClickHouse Cluster Scale-Out
- Changing the Billing Mode of a ClickHouse Cluster from Pay-per-Use to Yearly/Monthly
- Using ClickHouse
- Migrating ClickHouse Data
- ClickHouse User Management
- ClickHouse Role Management
- ClickHouse Slow Query Management
- Configuring Secure Channel Encryption for ClickHouse Clusters
- Application of ClickHouse Cold and Hot Data Separation
- ClickHouse Monitoring Clusters
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ClickHouse Cluster Management
- Permissions Management
- Audit Logs
- Cluster Log Management
-
Using HBase
- Best Practices
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Developer Guide
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HBase Application Development Guide
- Application Development Process
- Preparing a Development Environment
- Developing HBase Applications
- Developing HBase Cold and Hot Separation Applications
- Accessing HBase ThriftServer
- Commissioning Applications
- External APIs
- Doris Application Development Guide
- ClickHouse Application Development Guide
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HBase Application Development Guide
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FAQs
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General
- What Services Does a CloudTable Cluster Provide?
- Why Do I Choose CloudTable Service?
- How Do I Prepare for Creating a CloudTable HBase Cluster?
- What Should I Pay Attention to When Using CloudTable Service?
- What Compression Algorithms Are Supported by CloudTable HBase Clusters?
- Can I Stop CloudTable Service?
- Which Programming Languages Are Supported by HBase External APIs in CloudTable?
- How Do I Determine the Number of Faulty RegionServers?
- What Special Characters Does CloudTable HBase Support?
- What Can I Do If the Index Table Does Not Match the Data Table After CloudTable Data Is Deleted?
- What Should I Do If Concurrent Tasks Run Slowly When Python Accesses CloudTable Through Thrift?
- How do I view the TTL attribute of HBase shell?
- Why Are My Server Resources Released?
- How Do I Delete a Cluster?
- How Do I Stop Services and Release Resources?
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Connection and Access
- How Do I Access a CloudTable Cluster?
- Can I Use SSH to Access Computing Nodes of CloudTable?
- Why Can't I Access HBase After the ZK Address Is Configured?
- Why Is the Error "Will not attempt to authenticate using SASL (unknown error)" Reported When Connecting to HBase?
- How Do I View the IP Address Corresponding to a Domain Name in a CloudTable Link?
- How Do I Access CloudTable from Other Cloud Services?
- Can I Configure the hbase-site.xml File?
- How Do I Query the Creation Time of a Table in CloudTable HBase?
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Data Read/Write
- Is Raw Data Stored in CloudTable HBase?
- Why Can't I Write Data to HBase?
- What Is the Maximum Size of Data Written to the HBase Cluster?
- How Do I Check the Daily Incremental Data in HBase Tables?
- What Should I Do If an Error Is Reported When I Access the CloudTable HBase Cluster?
- How Do I Delete the Backup Table of the ZooKeeper Node in the ClickHouse Cluster?
- What Should I Do If a Database Missing Error Occurs When a Table Is Created in the ClickHouse Cluster?
- Billing FAQs
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General
- General Reference
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Application Development Process
This section describes how to call open source APIs of HBase in the CloudTable cluster mode to develop Java applications.
Figure 1 and Table 1 describe the phases in the development process.
|
Phase |
Description |
Reference |
|---|---|---|
|
Understand basic concepts. |
Before application development, learn basic concepts of HBase, understand the scenario requirements, and design tables. |
|
|
Prepare a development environment. |
The Java language is recommended for HBase application development. You can use the Eclipse tool. |
|
|
Prepare a running environment. |
The application running environment is a client. Install and configure the client according to the guide. |
|
|
Prepare a project. |
CloudTable provides example projects for different scenarios. You can import an example project to learn the application. You can also create a project according to the guide. |
|
|
Develop a project based on the scenario. |
An example project using Java is provided, including creating a table, writing data into the table, and deleting the table. |
|
|
Compile and run the application. |
You can compile the developed application and submit it for running. |
Compiling and Running Applications Compiling and Running an Application When a Client Is Installed or Compiling and Running an Application When No Client Is Installed |
|
View application running results. |
Application running results are exported to a path you specify. You can also view the application running status on the UI. |
|
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