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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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ClickHouse Application Scenarios
ClickHouse, an abbreviation for "Click Stream + Data WareHouse", serves as a web traffic analysis tool initially designed for OLAP analysis within data warehouses based on page click event flows. ClickHouse has a large number of applications and practices worldwide. It is widely used in various fields such as Internet advertising, apps, web, telecommunications, finance, and IoT. It suits business intelligence ideally.
ClickHouse is widely used in the following scenarios:
- User behavior analysis
Collect use data such as user clicks and browsing duration from the Internet (websites, APPs, and games) and import the data to ClickHouse to construct a wide table for user feature analysis. With the excellent query performance of ClickHouse, multi-dimensional and multi-mode analysis requests can be responded within subseconds. This helps quickly analyze user behaviors for precision marketing and member conversion.
- Enterprise operations analysis
Large-scale transaction data is imported to ClickHouse to construct a large wide table with hundreds of millions of records and hundreds of dimensions. Queries are responded within subseconds. ClickHouse supports personalized statistics and uninterrupted analysis at any time, facilitating business decision-making.
- Visitor source analysis
User behaviors are associated in user access logs through batch offline computing and a wide table of user behavior paths is generated and then synchronized to ClickHouse. A visualization system is built based on ClickHouse to display the interactive visitor source analysis results.
- BI reports
Use ClickHouse to construct real-time interactive query reports to analyze core service metrics such as orders, revenues, and number of users in real time.
- User segmentation statistics
Construct a user information table, select user attribute, tag data, and filter criteria in real time, and perform people feature statistics analytics based on a large number of data records.
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