Home
6.0 Development
This section contains information related to application development for ecosystem components and MapR products including MapR-DB (binary and JSON), MapR-FS, and MapR Streams.
Ecosystem Components
The following sections provide information about each open source project that MapR supports.
Sqoop
MapR Connector for Teradata

MapR 6.0 Documentation

6.0 Development
This section contains information related to application development for ecosystem components and MapR products including MapR-DB (binary and JSON), MapR-FS, and MapR Streams.
- Application Development Process
  Before you start developing applications on MapR’s Converged Data Platform, consider how you will get the data onto the platform, the format it will be stored in, the type of processing or modeling that is required, and how the data will be accessed.
- MapR-FS and Apps
  The following sections provide information about accessing MapR-FS with C and Java applications.
- MapR-DB and Apps
  This section contains information about developing client applications for JSON and binary tables.
- MapR-ES and Apps
  MapR-ES brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
- MapReduce and Apps
  This section contains information associated with developing YARN applications.
- MapR Data Science Refinery
  The MapR Data Science Refinery 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 FlexVolume Driver
  This section describes how to use and troubleshoot the MapR Data Fabric for Kubernetes FlexVolume Driver.
- Ecosystem Components
  The following sections provide information about each open source project that MapR supports.
  - MapR Ecosystem Packs
    A MapR Ecosystem Pack (MEP) provides a set of ecosystem components that work together on one or more MapR cluster versions. Only one version of each ecosystem component is available in each MEP. For example, only one version of Hive and one version of Spark is supported in a MEP.
  - AsyncHBase
  - Cascading
  - Drill
  - Flume
  - HBase Client and MapR-DB Binary Tables
  - HCatalog
  - Hive
  - HttpFS
  - Hue
  - Impala
  - MapR-ES Clients and Tools
  - Myriad
  - OpenStack Manila
  - Oozie
  - Pig
  - Sentry
  - Spark
  - Sqoop
    - Sqoop1
    - MapR Connector for Teradata
      - Importing and Exporting Data Using the MapR Connector for Teradata
      - MapR Connector Import and Export Options
  - Third Party Solutions
- 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 supports public APIs for MapR-FS, MapR-DB, and MapR-ES. These APIs are available for application development purposes.

MapR Connector for Teradata

The MapR Connector for Teradata (powered by the Teradata Connector for Hadoop (TDCH)) is a connector for Sqoop1 that enables the transfer of data between a Teradata MPP database and MapR environments.

Sqoop TDCH Features

The MapR Connector for Teradata supports the following features:

Import of data to Sqoop in these formats:
- TextFormat, delimited
- RCFile
- ORCFile
- Avro file
Hive arguments. The MapR Connector for Teradata supports all standard Hive arguments and all data types except Union.
Export from and import to HCatalog tables.
Automatic schema mapping to or from HCatalog.
Import using a query.

The following features are NOT supported:

Update table
Compression
Parquet format

Supported Product Versions and System Requirements

You must have the following minimum software versions to use the MapR Connector for Teradata:

Teradata Database 15.10
Hive 1.2
MapR 5.2
Sqoop 1.4.6

The Sqoop 1.4.6-1707 release supports TDCH 1.5.2. Prior releases support TDCH 1.5.1.

The MapR Connector for Teradata also requires JRE/JDK 1.7.x or 1.8.x. Make sure to include the Hive libraries in your Java classpath.