How does hive work Hadoop?
How Does Apache Hive Work? In short, Apache Hive translates the input program written in the HiveQL (SQL-like) language to one or more Java MapReduce, Tez, or Spark jobs. Apache Hive then organizes the data into tables for the Hadoop Distributed File System HDFS) and runs the jobs on a cluster to produce an answer.Click…
How Does Apache Hive Work? In short, Apache Hive translates the input program written in the HiveQL (SQL-like) language to one or more Java MapReduce, Tez, or Spark jobs. Apache Hive then organizes the data into tables for the Hadoop Distributed File System HDFS) and runs the jobs on a cluster to produce an answer.Click to see full answer. Correspondingly, does hive need Hadoop?1 Answer. Hive provided JDBC driver to query hive like JDBC, however if you are planning to run Hive queries on production system, you need Hadoop infrastructure to be available. Hive queries eventually converts into map-reduce jobs and HDFS is used as data storage for Hive tables.One may also ask, what is Hadoop HDFS and Hive? Hadoop HDFS is used for storing big data in a distributed way and Hadoop MapReduce is used to process this big data. Hive and Pig are part of the Hadoop ecosystem. Hive is a data warehouse system which is used for querying and analyzing large datasets stored in HDFS. Hereof, what is hive and how it works? Apache Hive works by translating the input program written in the hive SQL like language to one or more Java map reduce jobs. It then runs the jobs on the cluster to produce an answer. It functions analogously to a compiler – translating a high level construct to a lower level language for execution.Does hive use MapReduce?Map Reduce is the framework used to process the data which is stored in the HDFS, here java native language is used to writing Map Reduce programs. Hive is a batch processing framework. This component process the data using a language called Hive Query Language(HQL). Hive prevents writing MapReduce programs in Java.
