b67a9cecb3
from metastore HIVE-27746 introduced ALTER_PARTITIONS event type which is an optimization of reducing the bulk ALTER_PARTITION events into a single event. The components version is updated to pick up this change. It would be a good optimization to include this in Impala so that the number of events consumed by event processor would be significantly reduced and help event processor to catch up with events quickly. This patch enables the ability to consume ALTER_PARTITIONS event. The downside of this patch is that, there is no before_partitions object in the event message. This can cause partitions to be refreshed even on trivial changes to them. HIVE-29141 will address this concern. Testing: - Added an end-to-end test to verify consuming the ALTER_PARTITIONS event. Also, bigger time outs were added in this test as there was flakiness observed while looping this test several times. Change-Id: I009a87ef5e2c331272f9e2d7a6342cc860e64737 Reviewed-on: http://gerrit.cloudera.org:8080/22554 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.