c5a0ec8bdf
This puts all of the thrift-generated python code into the impala_thrift_gen package. This is similar to what Impyla does for its thrift-generated python code, except that it uses the impala_thrift_gen package rather than impala._thrift_gen. This is a preparatory patch for fixing the absolute import issues. This patches all of the thrift files to add the python namespace. This has code to apply the patching to the thirdparty thrift files (hive_metastore.thrift, fb303.thrift) to do the same. Putting all the generated python into a package makes it easier to understand where the imports are getting code. When the subsequent change rearranges the shell code, the thrift generated code can stay in a separate directory. This uses isort to sort the imports for the affected Python files with the provided .isort.cfg file. This also adds an impala-isort shell script to make it easy to run. Testing: - Ran a core job Change-Id: Ie2927f22c7257aa38a78084efe5bd76d566493c0 Reviewed-on: http://gerrit.cloudera.org:8080/20169 Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Reviewed-by: Riza Suminto <riza.suminto@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.