512a73771f
Removes deprecated ImpalaHttpClient constructor that supported port and
path as it has been deprecated since at least 2020 and appears unused.
Removes cert_file and key_file as they were also never used, and if
required must now be passed in via ssl_context.
Updates TSSLSocket fixes for Thrift 0.16 and Python 3.12. _validate_cert
was removed by Thrift 0.16, but everything worked because Thrift used
ssl.match_hostname instead. With Python 3.12 ssl.match_hostname no
longer exists so we rely on OpenSSL to handle verification with
ssl.PROTOCOL_TLS_CLIENT.
Only uses ssl.PROTOCOL_TLS_CLIENT when match_hostname is unavailable to
avoid changing existing behavior. THRIFT-792 identifies that TSocket
suppresses connection errors, where we would otherwise see SSL hostname
verification errors like
ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED]
certificate verify failed: IP address mismatch, certificate is not
valid for '::1'. (_ssl.c:1131)
Python 2.7.9 and 3.2 are minimum required versions; both have been EOL
for several years.
Testing:
- ran custom_cluster/{test_client_ssl.py,test_ipv6.py} on Ubuntu 24 with
Python 3.12, OpenSSL 3.0.13.
- ran custom_cluster/test_client_ssl.py on RHEL 7.9 with Python 2.7.5
and Python 3.6.8, OpenSSL 1.0.2k-fips.
- adds test that hostname checking is configured.
Change-Id: I046a9010ac4cb1f7d705935054b306cddaf8bdc7
Reviewed-on: http://gerrit.cloudera.org:8080/23519
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Reviewed-by: Csaba Ringhofer <csringhofer@cloudera.com>
Welcome to Impala
Lightning-fast, distributed SQL queries for petabytes of data stored in open data and table formats.
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 Apache Iceberg, 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.