t

io.github.setl.internal

CanPartition

trait CanPartition extends AnyRef

Connectors that inherit CanPartition should be able to partition the output by the given columns on the file system

Self Type
CanPartition with Connector
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AnyRef, Any
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CSVConnector, DeltaConnector, FileConnector, JSONConnector, ParquetConnector
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  1. abstract def partitionBy(columns: String*): CanPartition.this

    Partitions the output by the given columns on the file system.

    Partitions the output by the given columns on the file system. If specified, the output is laid out on the file system similar to Hive's partitioning scheme. As an example, when we partition a dataset by year and then month, the directory layout would look like:

    • year=2016/month=01/
    • year=2016/month=02/

    Partitioning is one of the most widely used techniques to optimize physical data layout. It provides a coarse-grained index for skipping unnecessary data reads when queries have predicates on the partitioned columns. In order for partitioning to work well, the number of distinct values in each column should typically be less than tens of thousands.

    This is applicable for all file-based data sources (e.g. Parquet, JSON)

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