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c2faf4a8a13ba89f2f4f2bc4fbd878cffda53d1f
The KuduScanNode attempts to push IN list predicates to the Kudu scan, but NULL literals cannot be pushed. The code in KuduScanNode needed to check if the Literals in the InPredicate is a NullLiteral, in which case the entire IN list should not be pushed to Kudu. The same handling is already in place for binary predicate pushdown. Change-Id: Iaf2c10a326373ad80aef51a85cec64071daefa7b Reviewed-on: http://gerrit.cloudera.org:8080/5505 Reviewed-by: Michael Brown <mikeb@cloudera.com> Reviewed-by: Matthew Jacobs <mj@cloudera.com> Tested-by: Internal 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.
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