mirror of
https://github.com/apache/impala.git
synced 2026-01-04 09:00:56 -05:00
c77fb628f7
The bug: We used to register privilege requests for table refs in TableRef.analyze() which only got called for unresolved TableRefs. As a result, a reference to a view that contains a subquery did not get properly authorized, explained as follows. 1. In the first analysis pass the view is replaced by a an InlineViewRef and we correctly register an authorizarion request. 2. We rewrite the subquery via the StmtRewriter and wipe the analysis state, but preserve the InlineViewRef that replaces the view reference. 3. The rewritten statement is analyzed again, but since an InlineViewRef is considered to be resolved, we never call TableRef.analyze(), and hence never register an authorization event for the view. The fix: We now register authorization and auditing events when calling analyze() on a resolved TableRef (BaseTableRef, InlineViewRef, CollectionTableRef). Change-Id: I18fa8af9a94ce190c5a3c29c3221c659a2ace659 Reviewed-on: http://gerrit.cloudera.org:8080/3783 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.