หน้านี้ยังไม่พร้อมใช้งานในภาษาท้องถิ่นของคุณ เรากำลังพยายามอย่างหนักเพื่อเพิ่มเวอร์ชันภาษาอื่น ๆ เพิ่มเติม ขอบคุณสำหรับการสนับสนุนเสมอมา
- Service Overview
- Billing
- Getting Started
-
User Guide
-
HBase User Guide
-
HBase Cluster Management
- Overview
- Managing Clusters
- Preparing an ECS
- Using HBase
- HBase Cold and Hot Data Separation
- HBase Thrift Server
- HBase Security Channel Encryption
- HBase Batch Data Import
- HBase Monitoring Clusters
- Self-Healing from HBase Hotspotting
- Global Secondary Indexes
-
HBase Cluster Management
-
ClickHouse User Guide
-
ClickHouse Cluster Management
- Overview
- Managing ClickHouse Clusters
- 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
-
ClickHouse Cluster Management
- Permissions Management
- Audit Logs
- Cluster Log Management
-
HBase User Guide
-
Developer Guide
- HBase Application Development Guide
- ClickHouse Application Development Guide
-
FAQs
-
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?
-
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?
-
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
-
General
- General Reference
Copied.
What Is CloudTable
CloudTable is a fully managed data storage and analysis service based on HBase and ClickHouse. It provides data storage and analysis capabilities ranging from gigabytes to petabytes, catering to scenarios such as online queries, data warehousing, data marts, and real-time analysis. Widely applicable across industries, CloudTable serves the Internet, Internet of Things (IoT), Internet of Vehicles (IoV), finance, government, logistics, manufacturing, and retail sectors.
Architecture
The following figure shows the architecture of CloudTable.
- ClickHouse: supports multidimensional aggregation analysis for large and wide tables (with 10,000 columns), subsecond-level response, and full self-service analysis.
- HBase: supports high concurrency and millisecond-level query response.
Advantages
- Wide applicability: CloudTable is compatible with multiple engines (such as HBase and ClickHouse).
- High reliability: The architecture is highly available and the kernel is optimized to improve system stability.
- Cost-effectiveness: Cold and hot data can be segregated, utilizing different compression algorithms to reduce storage costs.
- Easy to use: Analysis clusters can be swiftly established through the console within minutes. The platform offers comprehensive cluster management, monitoring, and alarm reporting functions. With robust SQL statement support, you can focus on extracting value from your data without concerning yourself with the underlying infrastructure.
New to CloudTable
If you are new to CloudTable, consider exploring the following information:
- Basic knowledge
This section covers the fundamental principles and scenarios of CloudTable components, along with specific concepts and functions related to CloudTable.
- Getting started
The Getting Started part provides detailed operational guidance using practical samples. You can create and utilize CloudTable clusters based on this guide.
- Advanced features and operation guides
If you are an existing CloudTable cluster user, consult the User Guide to create clusters, configure parameters, and monitor alarms.
Developers can refer to the Development Guide, which includes sample projects for building, running, and deploying custom applications. You can also call APIs to create or query clusters. For details, see API Reference.
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.
For any further questions, feel free to contact us through the chatbot.
Chatbot
