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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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Compiling and Running an Application When No Client Is Installed
Scenario
HBase applications can run in a Linux environment where an HBase client is not installed. After application code development is complete, you can upload a JAR file to the Linux environment to run applications.
Prerequisites
You have installed a JDK in the Linux environment. The version of the JDK must be consistent with that of the JDK used by Eclipse to export the JAR file.
Procedure
- Export a JAR file.
- Right-click the sample project and choose Export from the shortcut menu.
Figure 1 Exporting a JAR file
- Select JAR file and click Next.
Figure 2 Selecting JAR file
- Select the src directory, and export the JAR file to the specified location. Click Next twice.
Figure 3 Selecting a path for exporting the JAR file
- Click Finish. Exporting the JAR file is complete.
- Right-click the sample project and choose Export from the shortcut menu.
- Prepare the required JAR file and configuration file.
- In the Linux environment, create a directory, for example, /opt/test, and create subdirectories lib and conf. Upload the JAR file in lib in the sample project and the JAR file exported in 1 to the lib directory on Linux. Upload the configuration file in conf in the sample project to the conf directory on Linux.
- In the /opt/test root directory, create the run.sh script, modify the following content, and save the file:
#!/bin/sh BASEDIR=`pwd` SECURE="" if [ $# -eq 1 ]; then SECURE="-Dzookeeper.clientCnxnSocket=org.apache.zookeeper.ClientCnxnSocketNetty -Dzookeeper.client.secure=true" fi cd ${BASEDIR} for file in ${BASEDIR}/lib/*.jar do i_cp=$i_cp:$file echo "$file" done for file in ${BASEDIR}/conf/* do i_cp=$i_cp:$file done java -cp .${i_cp} ${SECURE} com.huawei.cloudtable.hbase.examples.TestMain
- Go to /opt/test and run the following command to run the JAR file:
- HBase clusters with the encryption stream disabled
sh run.sh
- HBase clusters with the encryption stream enabled
sh run.sh secure
NOTE:
If you use other methods to access an HBase cluster with the encryption stream enabled, you need to add the parameter "-Dzookeeper.clientCnxnSocket=org.apache.zookeeper.ClientCnxnSocketNetty -Dzookeeper.client.secure=true".
- HBase clusters with the encryption stream disabled
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