Steve Carlin bb9fb663ce IMPALA-10778: Allow impala-shell to connect directly to HS2
Impala-shell already uses HS2 protocol to connect to Impalad.
This commit allows impala-shell to connect to any server (for
example, Hive) using the hs2 protocol. This will be done via
the "--strict_hs2_protocol" option.

When the "--strict_hs2_protocol" option is turned on, only features
supported by hs2 will work. For instance, "runtime-profile" is an
impalad specific feature and will be disabled.

The "--strict_hs2_protocol" will only work on servers that abide
by the strict definition of what is supported by HS2. So one will
be able to connect to Hive in this mode, but connections to Impala
will not work. Any feature supported by Hive (e.g. kerberos
authentication) should work as well.

Note: While authentication should work, the test framework is not
set up to create an HS2 server that does authentication at this point
so this feature should be used with caution.
Change-Id: I674a45640a4a7b3c9a577830dbc7b16a89865a9e
Reviewed-on: http://gerrit.cloudera.org:8080/17660
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2021-08-27 09:45:59 +00:00
2021-08-03 17:25:40 +00:00
2020-06-15 23:42:12 +00:00

Welcome to Impala

Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters.

Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources:

  • Best of breed performance and scalability.
  • Support for data stored in HDFS, Apache HBase, Apache Kudu, Amazon S3, Azure Data Lake Storage, Apache Hadoop Ozone and more!
  • Wide analytic SQL support, including window functions and subqueries.
  • On-the-fly code generation using LLVM to generate lightning-fast code tailored specifically to each individual query.
  • Support for the most commonly-used Hadoop file formats, including Apache Parquet and Apache ORC.
  • Support for industry-standard security protocols, including Kerberos, LDAP and TLS.
  • Apache-licensed, 100% open source.

More about Impala

The fastest way to try out Impala is a quickstart Docker container. You can try out running queries and processing data sets in Impala on a single machine without installing dependencies. It can automatically load test data sets into Apache Kudu and Apache Parquet formats and you can start playing around with Apache Impala SQL within minutes.

To learn more about Impala as a user or administrator, or to try Impala, please visit the Impala homepage. Detailed documentation for administrators and users is available at Apache Impala documentation.

If you are interested in contributing to Impala as a developer, or learning more about Impala's internals and architecture, visit the Impala wiki.

Supported Platforms

Impala only supports Linux at the moment. Impala supports x86_64 and has experimental support for arm64 (as of Impala 4.0). Impala Requirements contains more detailed information on the minimum CPU requirements.

Supported OS Distributions

Impala runs on Linux systems only. The supported distros are

  • Ubuntu 16.04/18.04
  • CentOS/RHEL 7/8

Other systems, e.g. SLES12, may also be supported but are not tested by the community.

Export Control Notice

This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.

Build Instructions

See Impala's developer documentation to get started.

Detailed build notes has some detailed information on the project layout and build.

Description
Apache Impala
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