Oozie Workflow jobs are Directed Acyclical Graphs (DAGs) of actions. Oozie Coordinator jobs are recurrent Oozie Workflow jobs triggered by time (frequency) and data availabilty. Oozie is integrated with the rest of the Hadoop stack supporting several types of Hadoop jobs out of the box (such as Java map-reduce, Streaming map-reduce, Pig, Hive, Sqoop and Distcp) as well as system specific jobs. Oozie is a scalable, reliable and extensible system..
Data warehouse infrastructure built on top of Hadoop.
Hive 0.11.3 is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called Hive QL which is based on SQL and which enables users familiar with SQL to query this data. At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built-in capabilities of the language.
- HiveQL - An SQL dialect language for querying data in a RDBMS fashion
- UDF/UDAF/UDTF (User Defined [Aggregate/Table] Functions) - Allows user to create custom Map/Reduce based functions for regular use
- Ability to do joins (inner/outer/semi) between tables
- Support (limited) for sub-queries
- Support for table 'Views'
- Ability to partition data into Hive partitions or buckets to enable faster querying
- Hive Web Interface - A web interface to Hive
- Hive Server2 - Supports multi-suer querying using Thrift, JDBC and ODBC clients
- Hive Metastore - Ability to run a separate Metadata storage process -* Hive cli - A Hive commandline that supports HiveQL
See [http://hive.apache.org]http://hive.apache.org) for more information.
This charm provides the Hive Server and Metastore roles which form part of an overall Hive deployment.
A Hive deployment consists of a Hive service, a RDBMS (only MySQL is currently supported), an optional Metastore service and a Hadoop cluster.
To deploy a simple four node Hadoop cluster (see Hadoop charm README for further information)::
juju deploy hadoop hadoop-master juju deploy hadoop hadoop-slavecluster juju add-unit -n 2 hadoop-slavecluster juju add-relation hadoop-master:namenode hadoop-slavecluster:datanode juju add-relation hadoop-master:resourcemanager hadoop-slavecluster:nodemanager
A Hive server stores metadata in MySQL::
juju deploy mysql # hive requires ROW binlog juju set mysql binlog-format=ROW
To deploy a Hive service without a Metastore service::
# deploy Hive instance (hive-server2) juju deploy hive2 hive-server # associate Hive with MySQL juju add-relation hive-server:db mysql:db # associate Hive with HDFS Namenode juju add-relation hive-server:namenode hadoop-master:namenode # associate Hive with resourcemanager juju add-relation hive-server:resourcemanager hadoop-master:resourcemanager
To deploy a Hive service with a Metastore service::
# deploy Metastore instance juju deploy hive2 hive-metastore # associate Metastore with MySQL juju add-relation hive-metastore:db mysql:db # associate Metastore with Namenode juju add-relation hive-metastore:namenode hadoop-master:namenode # deploy Hive instance juju deploy hive2 hive-server # associate Hive with Metastore juju add-relation hive-server:server hive-metastore:metastore # associate Hive with Namenode juju add-relation hive-server:namenode hadoop-master:namenode # associate Hive with resourcemanager juju add-relation hive-server:resourcemanager hadoop-master:resourcemanager
Further Hive service units may be deployed::
juju add-unit hive-server
TO deploy a Hive service with elasticsearch service:: # deploy ElasticSearch locally: juju deploy local:elasticsearch elk juju add-unit -n elk # deploy hive service by any senarios mentioned above # associate Hive with elasticsearch juju add-relation hive-server:elk elk:client
This currently only works when using a Metastore service.
TO deploy a Hive service with elasticsearch service:: # deploy ElasticSearch locally: juju deploy local:elasticsearch elk juju add-unit -n elk # deploy hive service by any senarios mentioned above # associate Hive with elasticsearch juju add-relation hive-server:elasticsearch elk:client