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Difference between Impala and Apache Hive

Impala Apache hive
Impala does runtime code generations
for “big loops ” using llvm.		 Apache hive generates query
expressions at compile time.
Hadoop 2.6.0 Hadoop 2.7.3
Runtime Filtering Optimization Enabled All queries run through LLAP
Parquet format with snappy compression ORCFile format with zlib compression
Impala avoids startup overhead
as daemon processes are started at boot
time itself, always being ready to processes a query.		 Every hive query has this problem
of “cold start”.
Impala is meant for interactive computing. Apache Hive might not be ideal
for interactive computing .
Impala is more like MPP database. Hive is batch based Hadoop MapReduce .
Impala does not support complex types. Hive supports complex types .
Impala does not support fault tolerance Apache Hive is fault tolerant
hive-architecture

rimpala
]]> https://www.wikitechy.com/interview-questions/cloudera-impala/what-is-the-difference-between-impala-and-apache-hive/feed/ 0 What is the architectural design and features of Cloudera Impala ? https://www.wikitechy.com/interview-questions/cloudera-impala/what-is-the-architectural-design-and-features-of-cloudera-impala/ https://www.wikitechy.com/interview-questions/cloudera-impala/what-is-the-architectural-design-and-features-of-cloudera-impala/#respond Mon, 19 Jul 2021 06:35:32 +0000 https://www.wikitechy.com/interview-questions/?p=1022

Components of the Impala Server

cloudera-impala-tutorials
  • The impala server consist of distributed and massively parallel processing info engine.
  • It run on particular hosts among your CDH cluster with a various daemon processes.
The Impala Daemon
  • The core impala element may be a daemon method that runs on every node of the cluster, and its physically described by the impalad method.
  • Then read and write a informative files; which accepts questions transmitted from the impala-shell command, Hue, JDBC, or ODBC; parallelizes the questions can seperate work to alternative nodes within the impala cluster; and transmits intermediate question results back to the central organizer node.
  • The impala daemon running on any node, and that node is the organizer node for that question when You can submit a question.
  • The other nodes transmit partial results back to the organizer, that constructs the ultimate result set for a question.
  • You may continuously connect with a similar impala daemon for convenience.When running experiments with possibility through the impala-shell command.
  • For clusters running production workloads, you would possibly load-balance between the nodes by submitting every question to a distinct impala daemon in round-robin vogue, exploitation the JDBC or ODBC interfaces.
  • Its verify that nodes and may settle for new work. Through the impala daemons are in constant communication with the statestore.

The Impala Statestore

  • The impala element called the statestore checks on the health of impala daemons on all the nodes during a cluster, and unendingly relays its findings to every of these daemons.
  • It is physically described by a daemon method named statestored; you simply would like such a method on one node within the cluster.
  • If an impala node goes offline because of hardware failure, network error, software package issue, or alternative reason, the statestore informs all the opposite nodes so future queries will avoid creating requests to the unreached node.
architectural design

New options in Impala:

  • Performance and quantifiability enhancements.
  • Integration with Apache koodoo.
  • Security.
  • The REFRESH statement currently updates data regarding HDFS block locations.
  • [IMPALA-1654] many varieties of DDL operations will currently work on a spread of partitions.
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