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- Service Overview
- Billing
- Getting Started
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User Guide
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HBase User Guide
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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 Security 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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ClickHouse User Guide
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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
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ClickHouse Cluster Management
- Permissions Management
- Audit Logs
- Cluster Log Management
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HBase User Guide
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Developer Guide
- HBase Application Development Guide
- ClickHouse 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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HBase Application Scenarios
Storage and Query of Message Logs
Application Scenarios:
Structured and semi-structured key-value data can be stored and queried, including messages, reports, recommendation data, risk control data, logs, and orders.
Advantages:
- Mass storage
Offline and online storage of massive volumes of key-value data, and flexible capacity expansion
- High-performance read/write
100-million-level write throughput, millisecond-level query latency for presenting online applications and reports
- Enriched ecosystem
A large number of Hadoop ecosystem components, integrated with HUAWEI CLOUD products
Profile Storage and Query
Application Scenarios:
Labels are used to describe characteristics of people and objects. Each person or object has a set of labels that are uncertain because data is frequently updated. This type of data is widely used in marketing decision-making, recommendation, and advertising systems.
Advantages
- Sparse matrix
The sparse matrix model of HBase is suitable for storing unstructured data. No schema needs to be predefined for tables and no strict column definition is required among rows.
- Easy update
You can update any rows at any time without performance loss. HBase built-in versioning mechanism is used to save multiple historical versions of data.
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