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The test file testdata/workloads/functional-query/queries/QueryTest/exprs.test had INSERT statements in it, which are not supported on S3. This commit gets rid of those statements and rewrites them with SELECT [...] FROM VALUES(...) so that the tests are compatible on S3. Change-Id: I25faacf9fae3780f627afee86dc8c1ede7f6e2a2 Reviewed-on: http://gerrit.cloudera.org:8080/670 Reviewed-by: Sailesh Mukil <sailesh@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.