Application Scenarios
Hive is an open-source data warehouse framework built on Hadoop. It provides storage of structured data and basic data analysis services using the Hive query language (HQL), a language like the structured query language (SQL). Hive converts HQL statements to MapReduce or Spark tasks to query and analyze massive data stored in Hadoop clusters.
Hive provides the following features:
- Extracts, transforms, and loads (ETL) data using HQL.
- Analyzes massive structured data using HQL.
- Supports multiple data storage formats, including JavaScript object notation (JSON), comma separated values (CSV), TextFile, RCFile, ORCFILE, and SequenceFile, and supports custom extensions.
- Multiple client connection modes. JDBC interfaces are supported.
Hive is applicable to offline massive data analysis (such as log and cluster status analysis), large scale data mining (such as user behavior analysis, interest region analysis, and region display), and other scenarios.
To ensure Hive high availability (HA), user data security, and service access security, Huawei MRS incorporates the following features based on Hive 3.1.0:
- Kerberos security authentication.
- Data file encryption.
- Comprehensive rights management.
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.
