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CloudTable Service
CloudTable Service
- 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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Cluster Management Functions/
ClickHouse Cluster Management
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ClickHouse Cluster Management
Introduction to ClickHouse
ClickHouse offers easy-to-use, flexible, and stable hosting services in the cloud. A data warehouse can be created in minutes for massive real-time data query and analysis, improving the overall efficiency of data value mining. By leveraging the massively parallel processing (MPP) architecture, ClickHouse can query data several times faster than traditional data warehouses.
Cluster Management Functions
- Creating a cluster: You can create a cluster on the CloudTable console.
- Viewing a cluster: You can view cluster details on the CloudTable cluster management page.
- Restarting a cluster: You need to restart a cluster if the system runs slowly due to long-time running. Restart may cause data loss in running services. If you have to restart a cluster, ensure that there is no running service and all data has been saved.
- Deleting a cluster: You can delete a cluster that is no longer needed. This is a high-risk operation. Deleting a cluster may cause data loss. Therefore, before deleting a cluster, ensure that no service is running and all data has been saved.
Advantages
- High performance: ClickHouse employs column-oriented storage. This means data of the same type is stored into the same column, bringing a higher data compression ratio. Generally, the compression ratio can reach 10:1, significantly reducing storage costs and read overhead, and improving query performance.
- Replication mechanism: ClickHouse supports data replication using ZooKeeper and the ReplicatedMergeTree engine (of Replicated series). When creating a table, you can specify a storage engine and determine whether to replicate the table.
- Easy-of-use: You can create a ClickHouse analysis cluster in minutes on the console. No underlying infrastructure management is needed, helping you focus on analyzing data value with complete SQL statements.
- Superior performance: Queries are processed as quickly as possible by using distributed MPP architecture and all available hardware. The query efficiency is several times faster than traditional data warehouses and a single query can process up to terabytes of data per second.
- Security and reliability: Your clusters are independently deployed in isolated VPCs for more secure data access.
- Lower costs: Cost-effective devices on the cloud are used to build a cost-effective hosted ClickHouse cluster.
Parent topic: Cluster Management Functions
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