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f9d26fb896
This patch fixes an issue where incorrect results are produced by a CTAS or IAS that is fed from a QueryStmt that has outer-joined inline views with constants or conditionals in the select list. The regression was introduced in this commit: b8f642710ea9d311a7aca32611eaa7cac6cd86df Now that the final expression substitution with TupleIsNullPredicate() wrapping is performed in planning, the InsertStmt's result expressions should be taken from the feeding QueryStmt's result expressions, and not the QueryStmt's (already substituted) base table result expressions. Change-Id: Iae29683638df01f140d0f74976cca8ca9ba0852d Reviewed-on: http://gerrit.cloudera.org:8080/637 Reviewed-by: Alex Behm <alex.behm@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.