Skip to content

apache/impala

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Latest commit

subprocess.Popen returns a byte string in Python 3, which serializes
incorrectly when sending it as the LDAP password and causes `endswith`
to error with
> first arg must be bytes or a tuple of bytes, not str

Fixes `impala-shell --ldap_password_cmd` run with Python 3 by decoding
bytes as unicode.

Testing: confirmed that I can successfully authenticate via LDAP with
impala-shell in Python 2.7 and Python 3.8.

Change-Id: I3638d6f8d3ed7184495dbe3512d9e5ceb0ee8c45
Reviewed-on: http://gerrit.cloudera.org:8080/19283
Reviewed-by: Wenzhe Zhou <wzhou@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
b174468

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
be
 
 
bin
 
 
 
 
 
 
 
 
fe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
www
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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.