IMPALA-9351: Fix tests depending on hard-coded file paths of managed tables

Some tests (e.g. AnalyzeDDLTest.TestCreateTableLikeFileOrc) depend on
hard-coded file paths of managed tables, assuming that there is always a
file named 'base_0000001/bucket_00000_0' under the table dir. However,
the file name is in the form of bucket_${bucket-id}_${attempt-id}. The
last part of the file name is not guaranteed to be 0. If the first
attempt fails and the second attempt succeeds, the file name will be
bucket_00000_1.

This patch replaces these hard-coded file paths to corresponding files
that are uploaded to HDFS by commands. For tests that do need to use the
file paths of managed table files, we do a listing on the table dir to
get the file names, instead of hard-coding the file paths.

Updated chars-formats.orc to contain column names in the file so can be
used in more tests. The original one only has names like col0, col1,
col2.

Tests:
 - Run CORE tests

Change-Id: Ie3136ee90e2444c4a12f0f2e1470fca1d5deaba0
Reviewed-on: http://gerrit.cloudera.org:8080/16441
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
5 files changed
tree: 9c39b604117b036b589acde9e1acd73f7982be9e
  1. be/
  2. bin/
  3. cmake_modules/
  4. common/
  5. docker/
  6. docs/
  7. ext-data-source/
  8. fe/
  9. impala-parent/
  10. infra/
  11. lib/
  12. query-event-hook-api/
  13. security/
  14. shaded-deps/
  15. shell/
  16. ssh_keys/
  17. testdata/
  18. tests/
  19. www/
  20. .clang-format
  21. .clang-tidy
  22. .gitattributes
  23. .gitignore
  24. buildall.sh
  25. CMakeLists.txt
  26. EXPORT_CONTROL.md
  27. LICENSE.txt
  28. LOGS.md
  29. NOTICE.txt
  30. README-build.md
  31. README.md
  32. setup.cfg
README.md

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, Apache Kudu, Amazon S3, Azure Data Lake Storage, Apache Hadoop Ozone and more!
  • Wide analytic SQL support, including window functions and subqueries.
  • On-the-fly code generation using LLVM to generate lightning-fast code tailored specifically to each individual query.
  • Support for the most commonly-used Hadoop file formats, including Apache Parquet and Apache ORC.
  • Support for industry-standard security protocols, including Kerberos, LDAP and TLS.
  • 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. 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.

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.