c0b3580754
Emits log messages from the OpenTelemetry SDK to the Impalad DEBUG, INFO, WARNING, and ERROR logs. Previously, these SDK log messages were dropped. Modifies the function of the 'otel_debug' startup flag. This flag defaults to 'false' which causes log messages from the SDK to be dropped. When set to 'true', log messages from the OpenTelemetry SDK will be sent to the Impala logging system. The overall glog level is applied to all messages sent from the OpenTelemetry SDK, thus DEBUG SDK logs will not appear in the Impalad logs unless the glog level is greater than or equal to 2. When a trace is successfully sent to the OpenTelemetry collector, zero log lines are generated. When a trace cannot be sent, local testing showed 12 lines with a total size around 3k were written between the impalad.ERROR and impalad.WARNING log files. The request body is not included in these log messages unless the glog level is greater than or equal to 2 thus log message size will not grow or shrink based on the size of the trace(s). This patch also removes the completely useless 'LoggingInstrumentation' class. Previously, the 'otel_debug' flag caused this class to log messages, but those messages provided no insightful information. Generated-by: Github Copilot (Claude Sonnet 3.7) Change-Id: I41aba21f46233e6430eede9606be1e791071717a Reviewed-on: http://gerrit.cloudera.org:8080/23418 Reviewed-by: Impala Public Jenkins <impala-public-jenkins@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.