List of Pages in Category Compression (22 pages)
compression
A mechanism to reduce the size of a file so that it takes up less disk space for storage and consumes less network bandwidth when transferred. Common compression tools used with Apache Hadoop include gzip, bzip2, Snappy, and LZO.
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- Choosing a Data Compression Format
- Compression for Avro Data Files
- COMPRESSION_CODEC Query Option (CDH 5.2 or higher only)
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- Using Avro with MapReduce
- Using Snappy Compression in Sqoop 1 and Sqoop 2 Imports
- Using Snappy Compression with HBase
- Using Snappy for Hive Compression
- Using Snappy for MapReduce Compression
- Using Text Data Files with Impala Tables
- Using the Avro File Format with Impala Tables
- Using the Parquet File Format with Impala Tables
- Using the Parquet File Format with Impala, Hive, Pig, and MapReduce
- Using the RCFile File Format with Impala Tables
- Using the SequenceFile File Format with Impala Tables
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