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db7519df24
The NLJ node did not follow the expected protocol when need_to_return is set on a row batch, which means that memory referenced by a rowbatch can be freed or reused the next time GetNext() is called on the child. This patch changes the NLJ node to follow the protocol by deep copying all build side row batches when the need_to_return_ flag is set on the row batches. This prevents the row batches from referencing memory that may be freed or reused. Reenable test that was disabled because of IMPALA-2332 since this was the root cause. Change-Id: Idcbb8df12c292b9e2b243e1cef5bdfc1366898d1 Reviewed-on: http://gerrit.cloudera.org:8080/810 Reviewed-by: Tim Armstrong <tarmstrong@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.