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The Spark-SQL programming guide describe an optimization of parquet usage that involves splitting parquet file into directories corresponding to different column values. here
This issue is meant as a place for discussion of this topic and to determine if we should prototype such a parquet directory layout, for example dividing the parquet file into individual files per chromosome.
Look forward to any comments and/or links to earlier discussions of this topic
The text was updated successfully, but these errors were encountered:
@jpdna@heuermh that's pretty old now - I think using Spark to do the partitioning is the way forward, and Impala supports nested types so flattening is not necessary. See #651 (comment)
The Spark-SQL programming guide describe an optimization of parquet usage that involves splitting parquet file into directories corresponding to different column values. here
This issue is meant as a place for discussion of this topic and to determine if we should prototype such a parquet directory layout, for example dividing the parquet file into individual files per chromosome.
Look forward to any comments and/or links to earlier discussions of this topic
The text was updated successfully, but these errors were encountered: