White space in column name is not supported for Parquet files. Note currently Copy activity doesn't support LZO when read/write Parquet files. Supported types are " none", " gzip", " snappy" (default), and " lzo". When reading from Parquet files, Data Factories automatically determine the compression codec based on the file metadata. The compression codec to use when writing to Parquet files. See details in connector article -> Dataset properties section. JNI-based implementation to achieve comparable performance to the native C++ version. SnappyOutputStream uses only 32KB+ in default. Features Fast compression/decompression around 200400MB/sec. Each file-based connector has its own location type and supported properties under location. snappy-java is a Java port of the snappy, a fast C++ compresser/decompresser developed by Google. The type property of the dataset must be set to Parquet. This section provides a list of properties supported by the Parquet dataset. Supported types are 'none', 'gzip', 'snappy' (default), and 'lzo'. When reading from Parquet files, Data Factories automatically determine the compression codec based on the file metadata. A string with compression method and optional compression level. 2 3 It does not aim for maximum compression, or compatibility with any other compression library instead, it aims for very high speeds and reasonable compression. Dataset propertiesįor a full list of sections and properties available for defining datasets, see the Datasets article. The compression codec to use when writing to Parquet files. Snappy (previously known as Zippy) is a fast data compression and decompression library written in C++ by Google based on ideas from LZ77 and open-sourced in 2011. By default, the service uses min 64 MB and max 1G. Splittablity : If you need your compressed data to be splittable, BZip2, LZO, and Snappy formats are splittable, but GZip is not. Set to .compress.Snapp圜odec for Snappy compression. It is worth running tests to see if you detect a significant difference. If the final job outputs are to be compressed, the codec to use. This means that JVM will be started with Xms amount of memory and will be able to use a maximum of Xmx amount of memory. Snappy or LZO are a better choice for hot data, which is accessed frequently. The flag Xms specifies the initial memory allocation pool for a Java Virtual Machine (JVM), while Xmx specifies the maximum memory allocation pool. If you copy data to/from Parquet format using Self-hosted Integration Runtime and hit error saying "An error occurred when invoking java, message: :Java heap space", you can add an environment variable _JAVA_OPTIONS in the machine that hosts the Self-hosted IR to adjust the min/max heap size for JVM to empower such copy, then rerun the pipeline.Įxample: set variable _JAVA_OPTIONS with value -Xms256m -Xmx16g.
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