87e0077255
If the Impala version is set to a release build as described in point 8 in the "How to Release" document (https://cwiki.apache.org/confluence/display/IMPALA/How+to+Release#HowtoRelease-HowtoVoteonaReleaseCandidate), TestIcebergTable.test_compute_stats fails: Stacktrace query_test/test_iceberg.py:852: in test_compute_stats self.run_test_case('QueryTest/iceberg-compute-stats', vector, unique_database) common/impala_test_suite.py:742: in run_test_case self.__verify_results_and_errors(vector, test_section, result, use_db) common/impala_test_suite.py:578: in __verify_results_and_errors replace_filenames_with_placeholder) common/test_result_verifier.py:469: in verify_raw_results VERIFIER_MAP[verifier](expected, actual) common/test_result_verifier.py:278: in verify_query_result_is_equal assert expected_results == actual_results E assert Comparing QueryTestResults (expected vs actual): E 2,1,'2.33KB','NOT CACHED','NOT CACHED','PARQUET','false','hdfs://localhost:20500/test-warehouse/test_compute_stats_74dbc105.db/ice_alltypes' != 2,1,'2.32KB','NOT CACHED','NOT CACHED','PARQUET','false','hdfs://localhost:20500/test-warehouse/test_compute_stats_74dbc105.db/ice_alltypes' The problem is the file size which is 2.32KB instead of 2.33KB. This is because the version is written into the file, and "x.y.z-RELEASE" is one byte shorter than "x.y.z-SNAPSHOT". The size of the file in this test is on the boundary between 2.32KB and 2.33KB, so this one byte can change the value. This change fixes the problem by using a regex to accept both values so it works for both snapshot and release versions. Change-Id: Ia1fa12eebf936ec2f4cc1d5f68ece2c96d1256fb Reviewed-on: http://gerrit.cloudera.org:8080/19260 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 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.