Package org.dflib.parquet

Class ParquetLoader

java.lang.Object

org.dflib.parquet.ParquetLoader

public class ParquetLoader
extends Object

Constructor Summary

Constructors

Constructor	Description
ParquetLoader()

Method Summary

Modifier and Type	Method	Description
ParquetLoader	cols(int... columns)
ParquetLoader	cols(String... columns)	Configures the loader to only process the specified columns, and include them in the DataFrame in the specified order.
ParquetLoader	colsExcept(int... columns)
ParquetLoader	colsExcept(String... columns)
ParquetLoader	compactCol(int column)	Configures a Parquet column to be loaded with value compaction.
ParquetLoader	compactCol(String column)	Configures a Parquet column to be loaded with value compaction.
DataFrame	load(File file)
DataFrame	load(String filePath)
DataFrame	load(Path filePath)
DataFrame	load(ByteSource src)
Map<String,DataFrame>	loadAll(ByteSources src)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ParquetLoader

public ParquetLoader()

Method Detail

cols

public ParquetLoader cols(String... columns)

Configures the loader to only process the specified columns, and include them in the DataFrame in the specified order.

Returns:

this loader instance

cols

public ParquetLoader cols(int... columns)

Returns:

this loader instance

colsExcept

public ParquetLoader colsExcept(String... columns)

Returns:

this loader instance

colsExcept

public ParquetLoader colsExcept(int... columns)

Returns:

this loader instance

compactCol

public ParquetLoader compactCol(int column)

Configures a Parquet column to be loaded with value compaction. Should be used to save memory for low-cardinality columns. Note that Parquet already does compaction on String columns by default, but some other column types can take advantage of an explicit compaction.

compactCol

public ParquetLoader compactCol(String column)

Configures a Parquet column to be loaded with value compaction. Should be used to save memory for low-cardinality columns. Note that Parquet already does compaction on String columns by default, but some other column types can take advantage of an explicit compaction.

load

public DataFrame load(File file)

load

public DataFrame load(String filePath)

load

public DataFrame load(Path filePath)

load

public DataFrame load(ByteSource src)

Since:

1.1.0

loadAll

public Map<String,DataFrame> loadAll(ByteSources src)

Since:

1.1.0