Impala is a new query system developed by cloudera. It provides SQL semantics and can query Pb-level big data stored in hadoop HDFS and hbase. Although the existing hive system also provides SQL semantics, the underlying hive execution uses the mapreduce engine and is still a batch processing process, which is difficult to satisfy the query interaction. In contrast, Impala's biggest feature is its speed.
Cloudera impala is an engine that runs distributed queries on HDFS and hbase.This source is a snapshot of our internal development version. We regularly update the version.This readme document describes how to use this source to build cloudera Impala. For more information, see:
Https://ccp.cloudera.com/display/IMPALA
Installation Procedure directory1.1 download the cloudera manager 4.5.1 Free Edition installation package1.2 modify machine configurations1.3 upload cloudera-Manager-installer to the specified directory1.4 modify the permissions of clouder-Manager-instanler1.5 install cloudera Manager1.6 Go To The cloudera Manager inst
The official cloudera Impala tutorial explains some basic Impala operations, but there is a lack of coherence before and after the operation steps. In this section, W selects some examples in impala tutorial, A complete example is provided from scratch: creating tables, loading data, and querying data. An entry-level t
Based on CDH, Impala provides real-time queries for HDFS and hbase. The query statements are similar to hiveIncluding several componentsClients: Provides interactive queries between hue, ODBC clients, JDBC clients, and the impala shell and Impala.Hive MetaStore: stores the metadata of the data to let Impala know the data structure and other information.Cloudera
Hive group.
Impala cannot run as root because the root user does not allow direct read.
Create Impala user home directory and set permissions:
Sudo-u HDFs Hadoop fs-mkdir/user/impala
sudo-u hdfs Hadoop fs-chown
To view the groups to which the Impala user belongs:
# groups
1. impala architecture Impala is a real-time interactive SQL Big Data Query Tool developed by Cloudera inspired by Google's Dremel. Impala no longer uses slow Hive + MapReduce batch processing, instead, it uses a distributed query engine similar to that in a commercial parallel relational database, such as QueryPlanner
1. Impala Architecture
Impala is a real-time interactive SQL Big Data Query Tool developed by cloudera under the inspiration of Google's dremel. Impala no longer uses slow hive + mapreduce batch processing, instead, it uses a distributed query engine similar to that in commercial parallel relational databases (composed
latency of MapReduce.To achieve Impala and HBase integration, we can obtain the following benefits:
We can use familiar SQL statements. Like traditional relational databases, it is easy to provide SQL Design for complex queries and statistical analysis.
Impala query statistics and analysis is much faster than native MapReduce and Hive.
To integrate Impala wi
Impala consists of three components: impalad, statestored, and clientimpala-shell. The basic functions of these three components have been introduced in this article. Client? : It can be PythonCLI (officially provided impala_shell.py), JDBCODBC or Hue. No matter which one is actually a Thrift client, connect to impala
Impala consists of three components: impalad,
running, when the resource becomes scarce, Impala will request more resources from llama to expand (expanding) The current reserved resources, and once the query job is completed, llama will usually return the resources to yarn. Users can add the-rm_always_use_defaults parameter (required) and-rm_default_memory=size and-rm_default_cpu_cores (optional) When starting to use the Impalad process , Cloudera off
Source :? Github. comonefoursixCloudera-Impala-JDBC-Example see this article for lib dependencies required. Www.cloudera.comcontentcloudera-contentcloudera-docsImpalalatestInstalling-and-Using-Impalaciiu_impala_jdbc.html importjava. SQL. Conn
Source :? See this article for the lib that the https://github.com/onefoursix/Cloudera-Impala-JDBC-Example needs to depend
/x86_64/cm/The local machine to enter this address to access the local source library you builtNote: Note that the map address is configured on all machines to follow CDH, if you want to verify whether everyone offline source is successful, please install the source address in the Windows local Hosts file map, the browser address can be verified.5, CDH and Impala offline installation package download[email protected] html]$ sudo mkdir cdh5/parcels/lat
/5.0.2.13/:
Cloudera-manager-installer.bin 11-jun-2014 18:07 499K The boot file is actually installed, and the RPM packages needed during installation are dynamically downloaded during installation.
4. Installation CM5
To add executable permissions to Cloudera-manager-installer.bin:
[Root@localhost cloudera]# chmod +x cloude
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