- PAGE_SIZE - Static variable in class parquet.hadoop.ParquetOutputFormat
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- parquet.format.converter - package parquet.format.converter
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- parquet.hadoop - package parquet.hadoop
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Provides classes to store use Parquet files in Hadoop
In a map reduce job:
- parquet.hadoop.api - package parquet.hadoop.api
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APIs to integrate various type systems with Parquet
- parquet.hadoop.codec - package parquet.hadoop.codec
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- parquet.hadoop.example - package parquet.hadoop.example
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- parquet.hadoop.mapred - package parquet.hadoop.mapred
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- parquet.hadoop.metadata - package parquet.hadoop.metadata
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- parquet.hadoop.util - package parquet.hadoop.util
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- parquet.hadoop.util.counters - package parquet.hadoop.util.counters
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- parquet.hadoop.util.counters.mapred - package parquet.hadoop.util.counters.mapred
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- parquet.hadoop.util.counters.mapreduce - package parquet.hadoop.util.counters.mapreduce
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- PARQUET_EXAMPLE_SCHEMA - Static variable in class parquet.hadoop.example.GroupWriteSupport
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- PARQUET_METADATA_FILE - Static variable in class parquet.hadoop.ParquetFileWriter
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- PARQUET_READ_SCHEMA - Static variable in class parquet.hadoop.api.ReadSupport
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configuration key for a parquet read projection schema
- ParquetFileReader - Class in parquet.hadoop
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Internal implementation of the Parquet file reader as a block container
- ParquetFileReader(Configuration, Path, List<BlockMetaData>, List<ColumnDescriptor>) - Constructor for class parquet.hadoop.ParquetFileReader
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- ParquetFileWriter - Class in parquet.hadoop
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Internal implementation of the Parquet file writer as a block container
- ParquetFileWriter(Configuration, MessageType, Path) - Constructor for class parquet.hadoop.ParquetFileWriter
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- ParquetInputFormat<T> - Class in parquet.hadoop
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The input format to read a Parquet file.
- ParquetInputFormat() - Constructor for class parquet.hadoop.ParquetInputFormat
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Hadoop will instantiate using this constructor
- ParquetInputFormat(Class<S>) - Constructor for class parquet.hadoop.ParquetInputFormat
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constructor used when this InputFormat in wrapped in another one (In Pig for example)
- ParquetInputSplit - Class in parquet.hadoop
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An input split for the Parquet format
It contains the information to read one block of the file.
- ParquetInputSplit() - Constructor for class parquet.hadoop.ParquetInputSplit
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Writables must have a parameterless constructor
- ParquetInputSplit(Path, long, long, String[], List<BlockMetaData>, String, String, Map<String, String>, Map<String, String>) - Constructor for class parquet.hadoop.ParquetInputSplit
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- ParquetMetadata - Class in parquet.hadoop.metadata
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Meta Data block stored in the footer of the file
contains file level (Codec, Schema, ...) and block level (location, columns, record count, ...) meta data
- ParquetMetadata(FileMetaData, List<BlockMetaData>) - Constructor for class parquet.hadoop.metadata.ParquetMetadata
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- ParquetMetadataConverter - Class in parquet.format.converter
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- ParquetMetadataConverter() - Constructor for class parquet.format.converter.ParquetMetadataConverter
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- ParquetOutputCommitter - Class in parquet.hadoop
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- ParquetOutputCommitter(Path, TaskAttemptContext) - Constructor for class parquet.hadoop.ParquetOutputCommitter
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- ParquetOutputFormat<T> - Class in parquet.hadoop
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OutputFormat to write to a Parquet file
It requires a
WriteSupport to convert the actual records to the underlying format.
- ParquetOutputFormat(S) - Constructor for class parquet.hadoop.ParquetOutputFormat
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constructor used when this OutputFormat in wrapped in another one (In Pig for example)
- ParquetOutputFormat() - Constructor for class parquet.hadoop.ParquetOutputFormat
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used when directly using the output format and configuring the write support implementation
using parquet.write.support.class
- ParquetReader<T> - Class in parquet.hadoop
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Read records from a Parquet file.
- ParquetReader(Path, ReadSupport<T>) - Constructor for class parquet.hadoop.ParquetReader
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- ParquetReader(Configuration, Path, ReadSupport<T>) - Constructor for class parquet.hadoop.ParquetReader
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- ParquetReader(Path, ReadSupport<T>, UnboundRecordFilter) - Constructor for class parquet.hadoop.ParquetReader
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- ParquetReader(Configuration, Path, ReadSupport<T>, UnboundRecordFilter) - Constructor for class parquet.hadoop.ParquetReader
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- ParquetRecordReader<T> - Class in parquet.hadoop
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Reads the records from a block of a Parquet file
- ParquetRecordReader(ReadSupport<T>) - Constructor for class parquet.hadoop.ParquetRecordReader
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- ParquetRecordReader(ReadSupport<T>, UnboundRecordFilter) - Constructor for class parquet.hadoop.ParquetRecordReader
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- ParquetRecordWriter<T> - Class in parquet.hadoop
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Writes records to a Parquet file
- ParquetRecordWriter(ParquetFileWriter, WriteSupport<T>, MessageType, Map<String, String>, int, int, CodecFactory.BytesCompressor, int, boolean, boolean, ParquetProperties.WriterVersion) - Constructor for class parquet.hadoop.ParquetRecordWriter
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- ParquetWriter<T> - Class in parquet.hadoop
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Write records to a Parquet file.
- ParquetWriter(Path, WriteSupport<T>, CompressionCodecName, int, int) - Constructor for class parquet.hadoop.ParquetWriter
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Create a new ParquetWriter.
- ParquetWriter(Path, WriteSupport<T>, CompressionCodecName, int, int, boolean, boolean) - Constructor for class parquet.hadoop.ParquetWriter
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Create a new ParquetWriter.
- ParquetWriter(Path, WriteSupport<T>, CompressionCodecName, int, int, int, boolean, boolean) - Constructor for class parquet.hadoop.ParquetWriter
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Create a new ParquetWriter.
- ParquetWriter(Path, WriteSupport<T>, CompressionCodecName, int, int, int, boolean, boolean, ParquetProperties.WriterVersion) - Constructor for class parquet.hadoop.ParquetWriter
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Create a new ParquetWriter.
- ParquetWriter(Path, WriteSupport<T>, CompressionCodecName, int, int, int, boolean, boolean, ParquetProperties.WriterVersion, Configuration) - Constructor for class parquet.hadoop.ParquetWriter
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Create a new ParquetWriter.
- ParquetWriter(Path, WriteSupport<T>) - Constructor for class parquet.hadoop.ParquetWriter
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Create a new ParquetWriter.
- positiveLongFitsInAnInt(long) - Static method in class parquet.hadoop.metadata.ColumnChunkMetaData
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checks that a positive long value fits in an int.
- prepareForRead(Configuration, Map<String, String>, MessageType, ReadSupport.ReadContext) - Method in class parquet.hadoop.api.ReadSupport
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called in RecordReader.initialize(org.apache.hadoop.mapreduce.InputSplit, org.apache.hadoop.mapreduce.TaskAttemptContext) in the back end
the returned RecordConsumer will materialize the records and add them to the destination
- prepareForRead(Configuration, Map<String, String>, MessageType, ReadSupport.ReadContext) - Method in class parquet.hadoop.example.GroupReadSupport
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- prepareForWrite(RecordConsumer) - Method in class parquet.hadoop.api.WriteSupport
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This will be called once per row group
- prepareForWrite(RecordConsumer) - Method in class parquet.hadoop.example.GroupWriteSupport
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- PrintFooter - Class in parquet.hadoop
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Utility to print footer information
- PrintFooter() - Constructor for class parquet.hadoop.PrintFooter
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