2ac5a24dc0
Fixes several issues with the OpenTelemetry tracing startup flags: 1. otel_trace_beeswax -- Removes this hidden flag which enabled tracing of queries submitted over Beeswax. Since this protocol is deprecated and no tests assert the traces generated by Beeswax queries, this flag was removed to eliminate an extra check when determining if OpenTelemetry tracing should be enabled. 2. otel_trace_tls_minimum_version -- Fixes parsing of this flag's value. This flag is in the format "tlsv1.2" or "tlsv1.3", but the OpenTelemetry C++ SDK expects the minimum TLS version to be in the format "1.2" or "1.3". The code now removes the "tlsv" prefix before passing the value to the OpenTelemetry C++ SDK. 3. otel_trace_tls_insecure_skip_verify -- Fixes the guidance to only set this flag to true in dev/testing. Adds ctest tests for the functions that configure the TraceProvider singleton to ensure startup flags are correctly parsed and applied. Modifies the http_exporter_config and init_otel_tracer function signatures in otel.cc to return the actual object they create instead of a Status since these functions only ever returned OK. Updates the OpenTelemetry collector docker-compose file to support the collector receiving traces over both HTTP and HTTPS. This setup is used to manually smoke test the integration from Impala to an OpenTelemetry collector. Change-Id: Ie321fa37c0fd260f783dc6cf47924d53a06d82ea Reviewed-on: http://gerrit.cloudera.org:8080/23440 Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Reviewed-by: Joe McDonnell <joemcdonnell@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.