HPE Ezmeral Data Fabric 6.1.x is In Maintenance and transitions to "End of Maintenance" in June 2024. Please see the latest documentation.

About MapR 6.1
This site contains the main documentation for Version 6.1 of the MapR Converged Data Platform, including installation, configuration, administration, and reference information.
6.1 Installation
This section contains information about installing and upgrading MapR software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a MapR cluster.
6.1 MapR Data Platform
MapR Data Platform is the industry-leading data platform for AI and analytics that solves enterprise business needs.
6.1 Administration
This section describes how to manage the nodes and services that make up a cluster.
6.1 Development
This section contains information related to application development for Ezmeral ecosystem components and MapR Data Platform products, including the file system, Database (Key-Value and JSON), and Event Streams.
- Application Development Process
  Before you start developing applications on the MapR Data Platform platform, consider how you will get the data into the platform, the storage format of the data, the type of processing or modeling that is required, and how the data will be accessed.
- MapR XD and Apps
  The following sections provide information about accessing the MapR XD with C and Java applications.
- MapR Database and Apps
  This section contains information about developing client applications for JSON and key-value tables.
- MapR Event Store For Apache Kafka and Apps
  MapR Event Store For Apache Kafka brings integrated publish and subscribe messaging to MapR Data Platform.
- MapReduce and Apps
  This section contains information associated with developing YARN applications.
- MapR Data Science Refinery
  The MapR Data Science Refinery product is an easy-to-deploy and scalable data science toolkit with native access to all platform assets and superior out-of-the-box security.
- MapR Data Fabric for Kubernetes
  This section describes how to leverage the capabilities of the MapR Data Fabric for Kubernetes.
- Ecosystem Components
  The following sections provide information about each open-source project that is supported by the MapR Data Platform.
  - Ezmeral Ecosystem Packs
  - AsyncHBase
  - Cascading
  - Apache Drill
  - Flume
  - HBase
  - HBase Client and MapR Database Binary Tables
  - HCatalog
  - Hive
    - Getting Started with Hive
    - Configuring Hive
    - Integrating Hive
      - Hive and MapR Database Integration
        Install and Configure Hive
        Getting Started with Hive and MapR Database Binary Integration
        Optimizing MapR Database Tables Search by ID
        Starting from the 1904 release (EEP 6.0.2, EEP 6.1.1, and EEP 6.2.0), search by ID is supported with Hive MapR Database JSON tables.
        Connecting Using Hive MapR Database JSON Connector
        This section describes the Hive connector for MapR Database JSON table.
        Understanding the UPDATE Statement
        Starting with EEP 6.0.0 (Hive 2.3), EEP 5.0.1 (Hive 2.1), EEP 4.1.2, and EEP 3.0.4, the UPDATE statement is supported with Hive MapR Database JSON tables.
        Updating Primitive Data Types
        This section describes how to use the UPDATE statement to update primitive data types in MapR Database JSON tables, using the Hive connector.
        Updating Complex Data Types
        This section describes how to use the UPDATE statement to update complex data types in MapR Database JSON tables, using the Hive connector.
        Updating Complex Nested Data Types
        This section describes how to use the UPDATE statement to update complex nested data types in MapR Database JSON tables, using the Hive connector.
        UPDATE Statement Limitations
        This section describes the features that the UPDATE statement does not support.
        Understanding the INSERT INTO Statement
        This section describes how to use the INSERT INTO statement to insert or overwrite rows in nested MapR Database JSON tables, using the Hive connector.
        Understanding the MERGE Statement
        You can use the MERGE statement to perform record-level INSERT and UPDATE operations efficiently within Hive tables.
        Understanding the DELETE FROM Operation
        In EEP 6.3.1 and later, you can use the DELETE FROM operation with MapR Database JSON tables.
      - Hive and HBase Integration
      - Hive and HPL/SQL Integration
      - Hive and HCatalog Integration
      - Hive and WebHCat Integration
      - Hive and Tez Integration
        You can use Tez, instead of MapReduce, for generic data processing tasks. Tez significantly increases the processing speed. Tez, working with Hive, provides lower latency for interactive queries and higher throughput for batch queries.
    - Managing Hive Services
    - Connecting to Hive
    - Enabling High Availability for Hive
      This section describes how to enable High Availability for HiveServer2 and HiveMetastore.
    - Hive Features in MapR Data Platform
      Describes MapR Data Platform-specific features in Hive.
    - Hive 2.3 API Changes
      This topic describes the public API changes that occurred between Hive 2.1 EEP 5.0.0 and Hive 2.3 EEP 6.0.0.
    - Hive 2.1 API
    - Troubleshooting Hive and Tez
    - Hive Logging
      This section describes Hive logging for Hive 2.1 and later releases and includes information about log splitting.
  - HttpFS
  - Hue
  - Impala
  - Livy
    Apache Livy is primarily used to provide integration between Hue and Spark.
  - MapR Event Store For Apache Kafka Clients and Tools
    Describes the supported MapR Event Store For Apache Kafka tools and clients.
  - S3 Gateway
    The S3 gateway is a service that provides an S3-compatible interface to expose data in MapR Data Platform as objects. The S3 gateway manages all inbound S3 API requests to put data into and get data out of cloud storage.
  - Myriad
  - Oozie
  - Pig
  - Sentry
  - Apache Spark
  - Sqoop
  - YARN
  - Zeppelin
- Maven and MapR
  This section discusses topics associated with Maven and MapR.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  MapR Data Platform supports public APIs for MapR File System, MapR Database, and MapR Event Store For Apache Kafka. These APIs are available for application-development purposes.
Other Docs
This section contains release-independent information, including: MapR Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other MapR version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Understanding the UPDATE Statement

Starting with EEP 6.0.0 (Hive 2.3), EEP 5.0.1 (Hive 2.1), EEP 4.1.2, and EEP 3.0.4, the UPDATE statement is supported with Hive MapR Database JSON tables.

You can use the UPDATE statement to update primitive, complex, and complex nested data types in MapR Database JSON tables, using the Hive connector.