parquet.avro.AvroParquetOutputFormat Java Examples

The following examples show how to use parquet.avro.AvroParquetOutputFormat. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: ParquetAvroExample.java    From parquet-flinktacular with Apache License 2.0 6 votes vote down vote up 
public static void writeAvro(DataSet<Tuple2<Void, Person>> data, String outputPath) throws IOException {
	// Set up the Hadoop Input Format
	Job job = Job.getInstance();

	// Set up Hadoop Output Format
	HadoopOutputFormat hadoopOutputFormat = new HadoopOutputFormat(new AvroParquetOutputFormat(), job);

	FileOutputFormat.setOutputPath(job, new Path(outputPath));

	AvroParquetOutputFormat.setSchema(job, Person.getClassSchema());
	ParquetOutputFormat.setCompression(job, CompressionCodecName.SNAPPY);
	ParquetOutputFormat.setEnableDictionary(job, true);

	// Output & Execute
	data.output(hadoopOutputFormat);
}
Example #2
Source File: AvroParquetMapReduce.java    From hiped2 with Apache License 2.0 5 votes vote down vote up 
/**
 * The MapReduce driver - setup and launch the job.
 *
 * @param args the command-line arguments
 * @return the process exit code
 * @throws Exception if something goes wrong
 */
public int run(final String[] args) throws Exception {

  Cli cli = Cli.builder().setArgs(args).addOptions(CliCommonOpts.MrIoOpts.values()).build();
  int result = cli.runCmd();

  if (result != 0) {
    return result;
  }

  Path inputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.INPUT));
  Path outputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.OUTPUT));

  Configuration conf = super.getConf();

  Job job = new Job(conf);
  job.setJarByClass(AvroParquetMapReduce.class);

  job.setInputFormatClass(AvroParquetInputFormat.class);
  AvroParquetInputFormat.setInputPaths(job, inputPath);

  job.setMapperClass(Map.class);
  job.setReducerClass(Reduce.class);

  job.setMapOutputKeyClass(Text.class);
  job.setMapOutputValueClass(DoubleWritable.class);

  job.setOutputFormatClass(AvroParquetOutputFormat.class);
  FileOutputFormat.setOutputPath(job, outputPath);
  AvroParquetOutputFormat.setSchema(job, StockAvg.SCHEMA$);

  return job.waitForCompletion(true) ? 0 : 1;
}
Example #3
Source File: AvroGenericParquetMapReduce.java    From hiped2 with Apache License 2.0 4 votes vote down vote up 
/**
 * The MapReduce driver - setup and launch the job.
 *
 * @param args the command-line arguments
 * @return the process exit code
 * @throws Exception if something goes wrong
 */
public int run(final String[] args) throws Exception {

  Cli cli = Cli.builder().setArgs(args).addOptions(CliCommonOpts.MrIoOpts.values()).build();
  int result = cli.runCmd();

  if (result != 0) {
    return result;
  }

  Path inputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.INPUT));
  Path outputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.OUTPUT));

  Configuration conf = super.getConf();

  Job job = new Job(conf);
  job.setJarByClass(AvroGenericParquetMapReduce.class);

  job.setInputFormatClass(AvroParquetInputFormat.class);
  AvroParquetInputFormat.setInputPaths(job, inputPath);

  // force Avro to supply us GenericRecord objects in the mapper by mutating the
  // schema and changing the class name
  //
  Schema schema = Schema.createRecord("foobar",
      Stock.SCHEMA$.getDoc(), Stock.SCHEMA$.getNamespace(), false);
  List<Schema.Field> fields = Lists.newArrayList();
  for (Schema.Field field : Stock.SCHEMA$.getFields()) {
    fields.add(new Schema.Field(field.name(), field.schema(), field.doc(),
        field.defaultValue(), field.order()));
  }
  schema.setFields(fields);

  AvroParquetInputFormat.setAvroReadSchema(job, schema);

  job.setMapperClass(Map.class);

  job.setOutputKeyClass(Void.class);
  job.setOutputValueClass(GenericRecord.class);

  job.setOutputFormatClass(AvroParquetOutputFormat.class);
  FileOutputFormat.setOutputPath(job, outputPath);
  AvroParquetOutputFormat.setSchema(job, avroSchema);

  job.setNumReduceTasks(0);

  return job.waitForCompletion(true) ? 0 : 1;
}
Example #4
Source File: AvroProjectionParquetMapReduce.java    From hiped2 with Apache License 2.0 4 votes vote down vote up 
/**
 * The MapReduce driver - setup and launch the job.
 *
 * @param args the command-line arguments
 * @return the process exit code
 * @throws Exception if something goes wrong
 */
public int run(final String[] args) throws Exception {

  Cli cli = Cli.builder().setArgs(args).addOptions(CliCommonOpts.MrIoOpts.values()).build();
  int result = cli.runCmd();

  if (result != 0) {
    return result;
  }

  Path inputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.INPUT));
  Path outputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.OUTPUT));

  Configuration conf = super.getConf();

  Job job = new Job(conf);
  job.setJarByClass(AvroProjectionParquetMapReduce.class);

  job.setInputFormatClass(AvroParquetInputFormat.class);
  AvroParquetInputFormat.setInputPaths(job, inputPath);

  // predicate pushdown
  AvroParquetInputFormat.setUnboundRecordFilter(job, GoogleStockFilter.class);

  // projection pushdown
  Schema projection = Schema.createRecord(Stock.SCHEMA$.getName(),
      Stock.SCHEMA$.getDoc(), Stock.SCHEMA$.getNamespace(), false);
  List<Schema.Field> fields = Lists.newArrayList();
  for (Schema.Field field : Stock.SCHEMA$.getFields()) {
    if ("symbol".equals(field.name()) || "open".equals(field.name())) {
      fields.add(new Schema.Field(field.name(), field.schema(), field.doc(),
          field.defaultValue(), field.order()));
    }
  }
  projection.setFields(fields);
  AvroParquetInputFormat.setRequestedProjection(job, projection);


  job.setMapperClass(Map.class);
  job.setReducerClass(Reduce.class);

  job.setMapOutputKeyClass(Text.class);
  job.setMapOutputValueClass(DoubleWritable.class);

  job.setOutputFormatClass(AvroParquetOutputFormat.class);
  FileOutputFormat.setOutputPath(job, outputPath);
  AvroParquetOutputFormat.setSchema(job, StockAvg.SCHEMA$);

  return job.waitForCompletion(true) ? 0 : 1;
}
Example #5
Source File: ExportHBaseTableToParquet.java    From HBase-ToHDFS with Apache License 2.0 4 votes vote down vote up 
public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
  if (args.length == 0) {
    System.out
        .println("ExportHBaseTableToParquet {tableName} {ColumnFamily} {outputPath} {compressionCodec snappy,gzip} {schemaLocationOnHdfs} {rowkey.column.optional");
    return;
  }

  String table = args[0];
  String columnFamily = args[1];
  String outputPath = args[2];
  String compressionCodec = args[3];
  String schemaFilePath = args[4];

  String rowKeyColumn = "";
  if (args.length > 5) {
    rowKeyColumn = args[5];
  }

  Job job = Job.getInstance();
  job.getConfiguration().set(ROW_KEY_COLUMN_CONF, rowKeyColumn);
  job.getConfiguration().set(SCHEMA_FILE_LOCATION_CONF, schemaFilePath);

  HBaseConfiguration.addHbaseResources(job.getConfiguration());

  job.setJarByClass(ExportHBaseTableToParquet.class);
  job.setJobName("ExportHBaseTableToParquet ");

  Scan scan = new Scan();
  scan.setCaching(500); // 1 is the default in Scan, which will be bad for
                        // MapReduce jobs
  scan.setCacheBlocks(false); // don't set to true for MR jobs
  scan.addFamily(Bytes.toBytes(columnFamily));

  TableMapReduceUtil.initTableMapperJob(table, // input HBase table name
      scan, // Scan instance to control CF and attribute selection
      MyMapper.class, // mapper
      null, // mapper output key
      null, // mapper output value
      job);
  job.setOutputFormatClass(AvroParquetOutputFormat.class);
  AvroParquetOutputFormat.setOutputPath(job, new Path(outputPath));

  Schema.Parser parser = new Schema.Parser();

  FileSystem fs = FileSystem.get(job.getConfiguration());
  AvroParquetOutputFormat.setSchema(job, parser.parse(fs.open(new Path(schemaFilePath))));

  if (compressionCodec.equals("snappy")) {
    AvroParquetOutputFormat.setOutputCompressorClass(job, SnappyCodec.class);
  } else if (compressionCodec.equals("gzip")) {
    AvroParquetOutputFormat.setOutputCompressorClass(job, GzipCodec.class);
  } else {
    // nothing
  }

  job.setNumReduceTasks(0);

  boolean b = job.waitForCompletion(true);
}