ORC-801: Clean up Logging (#702)
What changes were proposed in this pull request?
Clean up some logging statements with the project. Remove instances of log-and-throw anti-pattern, remove superfluous logging guards, use anchors in debug statements instead of concatenation.
Why are the changes needed?
Trivial performance increases, decrease in lines of code (readability), log-and-throw makes troubleshooting more difficult because the same error may be logged multiple times.
How was this patch tested?
Existing unit tests, but should be no change in functionality.
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Apache ORC
ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but with integrated support for finding required rows quickly. Storing data in a columnar format lets the reader read, decompress, and process only the values that are required for the current query. Because ORC files are type-aware, the writer chooses the most appropriate encoding for the type and builds an internal index as the file is written. Predicate pushdown uses those indexes to determine which stripes in a file need to be read for a particular query and the row indexes can narrow the search to a particular set of 10,000 rows. ORC supports the complete set of types in Hive, including the complex types: structs, lists, maps, and unions.
ORC File Library
This project includes both a Java library and a C++ library for reading and writing the Optimized Row Columnar (ORC) file format. The C++ and Java libraries are completely independent of each other and will each read all versions of ORC files. But the C++ library only writes the original (Hive 0.11) version of ORC files, and will be extended in the future.
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Bug tracking: Apache Jira
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