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What is the difference between Spark SQL and Hive?
Hive provides schema flexibility, portioning and bucketing the tables whereas Spark SQL performs SQL querying it is only possible to read data from existing Hive installation. Hive provides access rights for users, roles as well as groups whereas no facility to provide access rights to a user is provided by Spark SQL.
Do I need hive for Spark?
You need to install Hive. But Hadoop does not need to be running to use Spark with Hive. However, if you are running a Hive or Spark cluster then you can use Hadoop to distribute jar files to the worker nodes by copying them to the HDFS (Hadoop Distributed File System.)
What is Apache Hive used for?
Apache Hive is an open source data warehouse software for reading, writing and managing large data set files that are stored directly in either the Apache Hadoop Distributed File System (HDFS) or other data storage systems such as Apache HBase.
Can we use hive in Spark?
Hive comes bundled with the Spark library as HiveContext, which inherits from SQLContext. Using HiveContext, you can create and find tables in the HiveMetaStore and write queries on it using HiveQL. Users who do not have an existing Hive deployment can still create a HiveContext.
Who uses Apache Hive?
Who uses Apache Hive?
| Company | Website | Company Size |
|---|---|---|
| Lorven Technologies | lorventech.com | 50-200 |
| Zendesk Inc | zendesk.com | 1000-5000 |
Is Hive and Apache Hive same?
Hive: Hive is an application that runs over the Hadoop framework and provides SQL like interface for processing/query the data. Hive is designed and developed by Facebook before becoming part of the Apache-Hadoop project….Difference Between Hadoop and Hive.
| Hadoop | Hive |
|---|---|
| Hadoop understands SQL using Java-based Map Reduce only. | Hive works on SQL Like query |
Who uses Apache spark?
Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at massive scale, collectively processing multiple petabytes of data on clusters of over 8,000 nodes. It has quickly become the largest open source community in big data, with over 1000 contributors from 250+ organizations.
What is the difference between hive and spark?
The differences between Apache Hive and Apache Spark SQL is discussed in the points mentioned below: Hive is known to make use of HQL (Hive Query Language) whereas Spark SQL is known to make use of Structured Query language for processing and querying of data.
What is the difference between Hadoop and spark?
The main difference between Apache spark and Apache hadoop is the internal engine, working. In Spark resilient distributed datasets (RDD) is used which itself make it as a plus point as well as drawback. It uses a clever way of guaranteeing fault tolerance that minimizes network I/O.
What is Apache Spark?
Apache Spark. Apache Spark is a lightning-fast cluster computing technology,designed for fast computation.