c
org.apache.spark.sql.execution.datasources.parquet
ParquetWriteSupport
Companion object ParquetWriteSupport
class ParquetWriteSupport extends WriteSupport[InternalRow] with Logging
A Parquet WriteSupport implementation that writes Catalyst InternalRows as Parquet messages. This class can write Parquet data in two modes:
- Standard mode: Parquet data are written in standard format defined in parquet-format spec.
- Legacy mode: Parquet data are written in legacy format compatible with Spark 1.4 and prior.
This behavior can be controlled by SQL option spark.sql.parquet.writeLegacyFormat. The value
of this option is propagated to this class by the init() method and its Hadoop configuration
argument.
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- new ParquetWriteSupport()
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- implicit class LogStringContext extends AnyRef
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- def finalizeWrite(): FinalizedWriteContext
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- def init(configuration: Configuration): WriteContext
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- ParquetWriteSupport → WriteSupport
- def init(arg0: ParquetConfiguration): WriteContext
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- WriteSupport
- def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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- def makeArrayWriter(arrayType: ArrayType): ValueWriter
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- def prepareForWrite(recordConsumer: RecordConsumer): Unit
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- ParquetWriteSupport → WriteSupport
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- def withLogContext(context: Map[String, String])(body: => Unit): Unit
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- def write(row: InternalRow): Unit
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- ParquetWriteSupport → WriteSupport
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- def finalize(): Unit
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- Deprecated
(Since version 9)