February 2019
Beginner to intermediate
544 pages
14h 36m
English
Content preview from Mastering Hadoop 3
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Optimized Row Columnar (ORC)
The development of Optimized Row Columnar (ORC) started at Hortonworks to optimize storage and performance in Hive, a data warehouse for summarization, query, and analysis that lives on top of Hadoop. Hive is designed for queries and analysis, and uses the query language HiveQL (similar to SQL). ORC files are designed for high performance when Hive is reading, writing, and processing data. ORC stores row data in columnar format. This row-columnar format is highly efficient for compression and storage. It allows for parallel processing across a cluster, and the columnar format allows for the skipping of unnecessary columns for faster processing and decompression. ORC files can store data more efficiently without ...
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