af3f56e6d1
Subscriber will re-register to statestore when statestore is restarted. When the statestore is restarted, its sending sequence number for update_catalogd RPC is reset. The subscribers need to reset their last receiving sequence number of update_catalogd RPC when they successfully re-register with statestore. Otherwise, subscribers may miss some RPCs after statestore is restarted. Could find related error messages in catalogd log file when run test_catalogd_ha.py::TestCatalogdHA::test_restart_statestore. Verified that no such error messages in catalogd log after the fix. Made a small optimization for statestore not to wake up the thread for update_catalogd RPC if there is no change for elected active catalogd and there is no RPC failure in last round. Testing: - Passed the core test. Change-Id: I21c1e6f6d8b047a37c7db2b7995b7ff74e317226 Reviewed-on: http://gerrit.cloudera.org:8080/20247 Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Reviewed-by: Wenzhe Zhou <wzhou@cloudera.com>
Welcome to Impala
Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters.
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 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.