IMPALA-12903: Querying virtual column FILE__POSITION for TEXT and JSON tables crashes Impala

Impala generates segmentation fault when it queries the virtual column
FILE__POSITION for TEXT or JSON tables. When the scanners that do not
support the FILE__POSITION virtual column detect its presence they
try to report an error and close themselves. The segfault is in the
scanners' Close() method when they try to dereference a NULL stream
object.

This patch simply adds NULL-checks in Close().

Alternatively we could detect the presence of FILE__POSITION during
planning in the HdfsScanNode, but doing it in the scanners lets us
handle more queries, e.g. queries that dynamically prune partitions
and the surviving partitions all have file formats that support
FILE__POSITION.

Testing:
 * added negative tests to properly report the errors
 * added tests for mixed file format tables

Change-Id: I8e1af8d526f9046aceddb5944da9e6f9c63768b0
Reviewed-on: http://gerrit.cloudera.org:8080/21148
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Reviewed-by: Zoltan Borok-Nagy <boroknagyz@cloudera.com>
5 files changed
tree: 39389daed408f706e2dbafdcd9219fe262f36cf4
  1. .devcontainer/
  2. be/
  3. bin/
  4. cmake_modules/
  5. common/
  6. docker/
  7. docs/
  8. fe/
  9. infra/
  10. java/
  11. lib/
  12. package/
  13. security/
  14. shell/
  15. ssh_keys/
  16. testdata/
  17. tests/
  18. www/
  19. .clang-format
  20. .clang-tidy
  21. .gitattributes
  22. .gitignore
  23. buildall.sh
  24. CMakeLists.txt
  25. EXPORT_CONTROL.md
  26. LICENSE.txt
  27. LOGS.md
  28. NOTICE.txt
  29. README-build.md
  30. README.md
  31. setup.cfg
README.md

Welcome to Impala

Lightning-fast, distributed SQL queries for petabytes of data stored in open data and table formats.

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:

More about Impala

The fastest way to try out Impala is a quickstart Docker container. You can try out running queries and processing data sets in Impala on a single machine without installing dependencies. It can automatically load test data sets into Apache Kudu and Apache Parquet formats and you can start playing around with Apache Impala SQL within minutes.

To learn more about Impala as a user or administrator, or to try Impala, please visit the Impala homepage. Detailed documentation for administrators and users is available at Apache Impala documentation.

If you are interested in contributing to Impala as a developer, or learning more about Impala's internals and architecture, visit the Impala wiki.

Supported Platforms

Impala only supports Linux at the moment. Impala supports x86_64 and has experimental support for arm64 (as of Impala 4.0). Impala Requirements contains more detailed information on the minimum CPU requirements.

Supported OS Distributions

Impala runs on Linux systems only. The supported distros are

  • Ubuntu 16.04/18.04
  • CentOS/RHEL 7/8

Other systems, e.g. SLES12, may also be supported but are not tested by the community.

Export Control Notice

This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.

Build Instructions

See Impala's developer documentation to get started.

Detailed build notes has some detailed information on the project layout and build.