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What is MPP in Impala?

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What is MPP in Impala?

Apache Impala is an open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. Impala has been described as the open-source equivalent of Google F1, which inspired its development in 2012.

Does Impala use HDFS?

Impala uses the distributed filesystem HDFS as its primary data storage medium. Impala table data is physically represented as data files in HDFS, using familiar HDFS file formats and compression codecs.

Is Apache Impala a database?

Impala is not a Database. Impala is a MPP (Massive Parallel Processing) SQL query Engine. It is an interface of SQL on top of HDFS structure.

Is hive a MPP?

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“Hive,” a subproject of the overall Apache Hadoop project, essentially provides a SQL abstraction over MapReduce. Nonetheless, Hadoop is natively controlled through imperative code while MPP appliances are queried though declarative query. MPP and MapReduce are both Big Data technologies.

Can data from HDFS be read by Impala?

Using Impala, you can access the data that is stored in HDFS, HBase, and Amazon s3 without the knowledge of Java (MapReduce jobs). You can access them with a basic idea of SQL queries.

What is Apache HDFS?

HDFS is a distributed file system that handles large data sets running on commodity hardware. It is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes. HDFS is one of the major components of Apache Hadoop, the others being MapReduce and YARN.

Can data from HDFS be read by Impala programs?

Which command is used to copy file from local file system to HDFS?

Hadoop copyFromLocal command
Hadoop copyFromLocal command is used to copy the file from your local file system to the HDFS(Hadoop Distributed File System).

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What are the differences between hive and Impala?

Apache Hive might not be ideal for interactive computing whereas Impala is meant for interactive computing. Hive is batch based Hadoop MapReduce whereas Impala is more like MPP database. Hive supports complex types but Impala does not. Apache Hive is fault tolerant whereas Impala does not support fault tolerance.