Package parquet.format.converter

Examples of parquet.format.converter.ParquetMetadataConverter$EncodingList

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    ColumnDescriptor column;
    ColumnChunkMetaData columnChunkMetaData;
    int columnsToScan = 0;

    MaterializedField field;
    ParquetMetadataConverter metaConverter = new ParquetMetadataConverter();
    FileMetaData fileMetaData;

    // TODO - figure out how to deal with this better once we add nested reading, note also look where this map is used below
    // store a map from column name to converted types if they are non-null
    HashMap<String, SchemaElement> schemaElements = new HashMap<>();
    fileMetaData = new ParquetMetadataConverter().toParquetMetadata(ParquetFileWriter.CURRENT_VERSION, footer);
    for (SchemaElement se : fileMetaData.getSchema()) {
      schemaElements.put(se.getName(), se);
    }

    // loop to add up the length of the fixed width columns and build the schema
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    out.close();
  }

  private static void serializeFooter(ParquetMetadata footer, FSDataOutputStream out) throws IOException {
    long footerIndex = out.getPos();
    parquet.format.FileMetaData parquetMetadata = new ParquetMetadataConverter().toParquetMetadata(CURRENT_VERSION, footer);
    writeFileMetaData(parquetMetadata, out);
    if (DEBUG) LOG.debug(out.getPos() + ": footer length = " + (out.getPos() - footerIndex));
    BytesUtils.writeIntLittleEndian(out, (int)(out.getPos() - footerIndex));
    out.write(MAGIC);
  }
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    totalRecordsRead = 0;

    // TODO - figure out how to deal with this better once we add nested reading, note also look where this map is used below
    // store a map from column name to converted types if they are non-null
    HashMap<String, SchemaElement> schemaElements = new HashMap<>();
    fileMetaData = new ParquetMetadataConverter().toParquetMetadata(ParquetFileWriter.CURRENT_VERSION, footer);
    for (SchemaElement se : fileMetaData.getSchema()) {
      schemaElements.put(se.getName(), se);
    }

    // loop to add up the length of the fixed width columns and build the schema
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    totalRecordsRead = 0;

    // TODO - figure out how to deal with this better once we add nested reading, note also look where this map is used below
    // store a map from column name to converted types if they are non-null
    HashMap<String, SchemaElement> schemaElements = new HashMap<>();
    fileMetaData = new ParquetMetadataConverter().toParquetMetadata(ParquetFileWriter.CURRENT_VERSION, footer);
    for (SchemaElement se : fileMetaData.getSchema()) {
      schemaElements.put(se.getName(), se);
    }

    // loop to add up the length of the fixed width columns and build the schema
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Related Classes of parquet.format.converter.ParquetMetadataConverter$EncodingList

  • org.apache.drill.exec.store.parquet.columnreaders.ParquetRecordReader
  • parquet.format.ColumnChunk
  • parquet.format.DataPageHeader
  • parquet.format.DictionaryPageHeader
  • parquet.format.FileMetaData
  • parquet.format.KeyValue
  • parquet.format.PageHeader
  • parquet.format.RowGroup
  • parquet.format.SchemaElement
  • parquet.hadoop.metadata.BlockMetaData
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