48b38810e8
Custom cluster tests like TestKuduHMSIntegration restart the Kudu service with custom startup flags. On Redhat8 ARM64, these tests have been failing due to Kudu being unresponsive after this restart. Debugging showed that Kudu was stuck early in startup. This only reproduced via the custom cluster tests and never via regular minicluster startup. When custom cluster tests restart Kudu, the script to restart Kudu inherits environment variables from the test runner. It turns out that the HEAPCHECK environment variable (even when empty) causes Kudu to get stuck during startup on Redhat8 ARM64 after the recent toolchain update. As a short-term fix, this unsets HEAPCHECK when restarting the Kudu service for these tests. There will need to be further investigation / cleanup beyond this. Testing: - Ran the Kudu custom cluster tests on Redhat8 ARM64 and on Ubuntu 20 x86_64 Change-Id: I51513e194d9e605df199672231b412fae40343af Reviewed-on: http://gerrit.cloudera.org:8080/23467 Reviewed-by: Riza Suminto <riza.suminto@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@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.