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Useful for data analysts familiar with SQL who need to do ad-hoc queries

Offers real-time queries and row level updates

Allows you to define a structure for your unstructured Big Data

Is a relational database

Single point of failure in the NameNode.

Resource pressure on the JobTracker.

HDFS latency.

Ability to run frameworks other than MapReduce, such as MPI.

Reduce complexity of the MapReduce APIs.

Standardize on a single MapReduce API.

The ApplicationMaster requests resources from the ResourceManager

The ApplicationMaster starts a single instance of the ResourceManager

The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster

The ApplicationMaster starts an instance of the ResourceManager within each Container

NameNode

Metanode

DataNode

NameSpaceManager

HDFS command

Pig LOAD command

Sqoop import

Hive LOAD DATA command

Ingest with Flume agents

Ingest with Hadoop Streaming

ZKFailoverController

ZooKeeper

QuorumManager

JournalNode

Implement a splittable compression algorithm.

Be a subclass of FileInputFormat.

Implement WritableComparable.

Override isSplitable.

Implement a comparator for speedy sorting.

Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.

Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.

Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.

Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer

Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.

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Each DataNode receives commands from one designated master NameNode.

DataNodes send periodic heartbeats to all the NameNodes.

Each DataNode registers with all the NameNodes.

DataNodes send periodic block reports to all the NameNodes.

The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse

The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house

The files in the mydata folder are copied into Hive's underlying relational database

The files in the mydata folder do not move from their current location In HDFS

The file mydata.txt is copied to a subfolder of /apps/hive/warehouse

The file mydata.txt is moved to a subfolder of /apps/hive/warehouse

The file mydata.txt is copied into Hive's underlying relational database 0.

The file mydata.txt does not move from Its current location in HDFS

A Container executes a specific task as assigned by the ApplicationMaster

The ResourceManager is responsible for scheduling and allocating resources

A client application submits a YARW job to the ResourceManager

The ResourceManager monitors and restarts any failed Containers

TaskTracker

NameNode

DataNode

JobTracker

Secondary NameNode

STORE A INTO 'myoutput' USING PigStorage(',');

DUMP B using PigStorage('myoutput');

STORE B INTO 'myoutput';

DUMP B INTO 'myoutput';

The values are in sorted order.

The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.

The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering.

Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.