f129dfd202
FunctionContext::Allocate() and FunctionContext::AllocateLocal() used to return NULL for zero length allocations. This makes it hard to distinguish between allocation failures and zero length allocations. Such confusion may lead to DCHECK failure in the macro RETURN_IF_NULL() in debug builds or access to NULL pointers in non-debug builds. This change fixes the problem above by returning NULL only if there is allocation failure. Zero-length allocations will always return a dummy non-NULL pointer. Change-Id: Id8c3211f4d9417f44b8018ccc58ae182682693da Reviewed-on: http://gerrit.cloudera.org:8080/3601 Reviewed-by: Michael Ho <kwho@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.
Building Impala
This Apache Incubator repository is currently not buildable but has the complete source code for Impala minus some third-party dependences. See https://github.com/cloudera/Impala for the buildable Impala source and https://issues.cloudera.org/browse/IMPALA-3223 to track progress on making this repository buildable.