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5.1 DB & Streams
This section covers the MapR-DB, MapR-Streams, and MapR-Gateways features. Each feature may contain both administrator and developer topics.
MapR-DB
MapR-DB as a Document Database
MapR-DB supports OJAI documents as a native data store. OJAI documents are stored in a compact binary format, not as plain ASCII text.

MapR 5.1 Documentation

5.1 DB & Streams
This section covers the MapR-DB, MapR-Streams, and MapR-Gateways features. Each feature may contain both administrator and developer topics.
- MapR-DB
  - Architecture of MapR-DB
    MapR-DB's architecture gives it a large of advantages over other NoSQL databases.
  - Performance Enhancements for SSD Based MapR-DB Deployments
  - MapR-DB as a Document Database
    MapR-DB supports OJAI documents as a native data store. OJAI documents are stored in a compact binary format, not as plain ASCII text.
    - OJAI Documents
      An OJAI document is a tree of fields. Each field has a type and a value, and also has either a name or an array index. Field names are strings. The root of each document is a map.
    - JSON Tables
      Documents are stored in JSON tables, which are tables in which every row is an OJAI document.
    - Creating, Reading, Updating, and Deleting Documents and Tables with the MapR-DB JSON Java API Library
      The basic tasks that you can perform with the API library involve the Admin, Document, DocumentMutation, QueryCondition, Table, and TableDescriptor interfaces.
    - Listing Tables with the MapR-DB JSON Java API Library
      List the JSON tables that are in a folder by calling an Admin object's listTables() method, passing as an argument the path of the folder.
    - Altering JSON Tables with the MapR-DB OJAI Java API Library
      Change the values of table attributes by using a TableDescriptor object and then passing that object to the Admin interface's altertable() method.
    - Deleting JSON Tables with the MapR-DB OJAI Java API Library
      Delete a JSON table by calling an Admin object's deleteTable() method, passing as an argument the path of the table to delete.
    - Compiling and Running Applications that Access JSON Tables and Documents
      You can compile applications that use the MapR-DB JSON API by using the required JAR file from the MapR Maven repository or from the MapR installation. Run applications with the mapr command.
    - Tuning Parameters for Client Applications That Access MapR-DB JSON Tables
      Though tuning client applications is generally not necessary, MapR does offer tuning parameters to change the behavior of client-side caching.
    - Loading Documents into JSON Tables
      There are three command-line utilities for loading documents into JSON tables: mapr copytable, mapr importtable (which works in conjunction with the mapr exporttable utility), and mapr importJSON
    - MapR-DB JSON MapReduce API Library
      This API library extends the Apache Hadoop MapReduce framework, so that you can write your own MapReduce applications to write data from one JSON table to another.
    - Column Families in JSON Tables
      JSON tables store data in column families, which are collections of fields that are stored together on disk.
    - Granting or Denying Access to Fields with Access-Control Expressions
      By using access-control expressions (ACEs), you can grant or deny access to fields and column families that are in JSON tables.
    - Getting Started with MapR-DB JSON and OJAI
  - MapR-DB as a Wide-Column Database
- MapR Streams
  MapR Streams brings integrated publish/subscribe messaging to the MapR Converged Data Platform.
- MapR Gateways
  A MapR gateway mediates one-way communication between a source MapR cluster and a destination cluster. MapR-DB binary tables and MapR Streams streams can be replicated.

MapR-DB as a Document Database

MapR-DB supports OJAI documents as a native data store. OJAI documents are stored in a compact binary format, not as plain ASCII text.

With this support, you can:

Store data that is hierarchical and nested, and that evolves over time.
Read and write individual document fields, subsets of fields, or whole documents from and to disk. To update individual fields or subsets of fields, there is no need to read entire documents, modify them, and then write the modified documents to disk.
Build Java applications with the MapR-DB JSON API library, which is an implementation of the Open JSON Application Interface (OJAI), a Java API library for easily managing complex, evolving, hierarchical data. You can use many more data types than the standard types that JSON supports, make it easy to create complex queries, and require no connection or configuration objects for accessing JSON tables.
Filter query results within MapR-DB before results are returned to client applications.
Run client applications on Linux, OS X, and Windows systems.
Perform complex data analysis on your JSON data with Apache Drill or other analytical tools in real time without having to copy data to another cluster.
Scale your data to span thousands of nodes.
Control read and write access to single fields and subsets of fields within a JSON table by using access-control expressions (ACEs).
Control the disk layout of single fields and subdocuments within JSON tables.