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The patch that addressed IMPALA-2130 (7c7e69b) creates a new table intended only to be used in a test that uses the functional_parquet database. This patch has a mistake though in schema_constraints which essentially allows the creation of this table for all types and not only for parquet/none/none. Change-Id: I1d72b30557cb9d8f47fe27170808fec75af3bb1d Reviewed-on: http://gerrit.cloudera.org:8080/524 Reviewed-by: Ippokratis Pandis <ipandis@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.