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What Are the Solutions for Processing 1 Billion Data Records?
Updated on 2023-09-05 GMT+08:00
What Are the Solutions for Processing 1 Billion Data Records?
Question:
What Are the Solutions for processing 1 Billion Data Records?
Answer:
- GaussDB (for MySQL) is recommended for scenarios, such as data updates, online transaction processing (OLTP), and complex analysis of 1 billion data records.
- Impala and Kudu in MRS also meet this requirement. Impala and Kudu can load all join tables to the memory in the join operation.
Parent topic: MRS Overview
MRS Overview FAQs
- What Is MRS Used For?
- What Types of Distributed Storage Does MRS Support?
- What Are Regions and AZs?
- Can I Change the Network Segment of Nodes in an MRS Cluster?
- Can I Downgrade the Specifications of an MRS Cluster Node?
- Does an MRS Cluster Support Hive on Spark?
- Are Hive Components of Different Versions Compatible with Each Other?
- What Are the Differences Between OBS and HDFS in Data Storage?
- How Do I Obtain the Hadoop Pressure Test Tool?
- Statement About the Public IP Addresses in the Open-Source Third-Party SDK Integrated by MRS
- Does MRS Support Running Hive on Kudu?
- What Are the Solutions for Processing 1 Billion Data Records?
- Can I Change the IP address of DBService?
- Can Sudo Logs of Nodes in an MRS Cluster Be Cleared?
- What Are the Restrictions on the Storm Log Size in an MRS 2.1.0 Cluster?
- What Access Protocols Does Kafka Support?
- What Should I Do If Error 408 Is Reported When an MRS Node Accesses OBS?
- What are the advantages of the compression ratio of zstd?
- Which Python Versions Are Supported by Spark Tasks in MRS 3.1.0 Clusters?
- How Do I Enable Different Service Programs to Use Different Yarn Queues?
- What Are the Differences and Relationships Between the MRS Management Console and MRS Manager?
- How Do I Unbind an EIP from FusionInsight Manager of an MRS Cluster?
- What are the Operating Systems of Hosts in MRS Clusters of Different Versions?
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