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Amazon DynamoDB
Developer Guide (API Version 2012-08-10)

Using Data Compression

When you use Hive to copy data among different data sources, you can request on-the-fly data compression. Hive provides several compression codecs. You can choose one during your Hive session. When you do this, the data is compressed in the specified format.

The following example compresses data using the Lempel-Ziv-Oberhumer (LZO) algorithm.

Copy
SET hive.exec.compress.output=true; SET io.seqfile.compression.type=BLOCK; SET mapred.output.compression.codec = com.hadoop.compression.lzo.LzopCodec; CREATE EXTERNAL TABLE lzo_compression_table (line STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\n' LOCATION 's3://bucketname/path/subpath/'; INSERT OVERWRITE TABLE lzo_compression_table SELECT * FROM hiveTableName;

The resulting file in Amazon S3 will have a system-generated name with .lzo at the end (for example, 8d436957-57ba-4af7-840c-96c2fc7bb6f5-000000.lzo).

The available compression codecs are:

  • org.apache.hadoop.io.compress.GzipCodec

  • org.apache.hadoop.io.compress.DefaultCodec

  • com.hadoop.compression.lzo.LzoCodec

  • com.hadoop.compression.lzo.LzopCodec

  • org.apache.hadoop.io.compress.BZip2Codec

  • org.apache.hadoop.io.compress.SnappyCodec