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1495b2007d
The bugs was that the functions did not check whether the conversion pushed the value out of range. The fix is to use boost's validation immediately to check the validity of the timestamp and catch any exceptions thrown. It would be preferable to avoid the exceptions, but Boost does not provide a straightforward way to disable the exceptions or extract potentially-invalid values from a date object. Testing: Added expression tests that exercise out-of-range cases. Also added additional tests to confirm that date addition and subtraction weren't affected by similar bugs. Change-Id: Idc427b06ac33ec874a05cb98d01c00e970d3dde6 Reviewed-on: http://gerrit.cloudera.org:8080/5251 Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com> Tested-by: Impala Public Jenkins
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 and Amazon S3.
- Wide analytic SQL support, including window functions and subqueries.
- On-the-fly code generation using LLVM to generate CPU-efficient code tailored specifically to each individual query.
- Support for the most commonly-used Hadoop file formats, including the Apache Parquet (incubating) project.
- Apache-licensed, 100% open source.
More about Impala
To learn more about Impala as a business user, or to try Impala live or in a VM, please visit the Impala homepage.
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.
Build Instructions
See bin/bootstrap_build.sh.
Export Control Notice
This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.