< ExampleMessage > builder(new Path (parquetFile)).withConf(conf) // conf set to use 3-level lists.withDataModel(model) // use the protobuf data model.withSchema(schema) // Avro schema for the protobuf data.build(); FileInputStream protoStream = new FileInputStream (new File (protoFile)); try Example 1. Source Project: garmadon Source File: ProtoParquetWriterWithOffset.java License: Apache License 2.0. 6 votes. /** * @param writer The actual Proto + Parquet writer * @param temporaryHdfsPath The path to which the writer will output events * @param finalHdfsDir The directory to write the final output to (renamed from temporaryHdfsPath) 2021-04-02 · Example program that writes Parquet formatted data to plain files (i.e., not Hadoop hdfs); Parquet is a columnar storage format. - tideworks/arvo2parquet 2020-06-18 · Schema avroSchema = ParquetAppRecord.getClassSchema(); MessageType parquetSchema = new AvroSchemaConverter().convert(avroSchema); Path filePath = new Path("./example.parquet"); int blockSize = 10240; int pageSize = 5000; AvroParquetWriter parquetWriter = new AvroParquetWriter( filePath, avroSchema, CompressionCodecName.UNCOMPRESSED, blockSize, pageSize); for(int i = 0; i 1000; i++) { HashMap mapValues = new HashMap (); mapValues.put("CCC", "CCC" + i); mapValues.put("DDD", "DDD 2020-09-24 · Concise example of how to write an Avro record out as JSON in Scala - HelloAvro.scala Concise example of how to write an Avro record out as JSON in Scala val parquetWriter = new AvroParquetWriter [GenericRecord](tmpParquetFile, schema public AvroParquetWriter (Path file, Schema avroSchema, CompressionCodecName compressionCodecName, int blockSize, int pageSize) throws IOException {super (file, AvroParquetWriter.

Avroparquetwriter example

${insertCount} The total count of insert operations in the data file. For example, if an object has type, name, and size fields, then the name field should appear first, followed by the type and then the size fields. [STRINGS] For all JSON string literals in the schema text, replace any escaped characters (e.g., \uXXXX escapes) with their UTF-8 equivalents. @Override public HDFSRecordWriter createHDFSRecordWriter(final ProcessContext context, final FlowFile flowFile, final Configuration conf, final Path path, final RecordSchema schema) throws IOException, SchemaNotFoundException { final Schema avroSchema = AvroTypeUtil.extractAvroSchema(schema); final AvroParquetWriter.Builder parquetWriter = AvroParquetWriter . builder (path) .withSchema(avroSchema); ParquetUtils.applyCommonConfig(parquetWriter, context, flowFile The following examples show how to use org.apache.parquet.avro.AvroParquetWriter. These examples are extracted from open source projects. 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.

No need to deal with Spark or Hive in order to create a Parquet file, just some lines of Java. A simple AvroParquetWriter is instancied with the default options, like a block size of 128MB and a page size of 1MB. Snappy has been used as compression codec and an Avro schema has been defined: I know it sounds stupid to use recursive data structure (e.g.

AvroParquetWriter (Showing top 20 results out of 315) A Handler object accepts a logging request and exports the desired messages to a target, for example.

Priority: Major . Resolution: Unresolved Please see sample code below: Schema schema = new Schema.Parser() I have auto-generated Avro schema for simple class hierarchy: trait T {def name: String} case class A(name: String, value: Int) extends T case class B(name: String, history: Array[String]) extends Apache Parquet.
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ParquetWriter< ExampleMessage > writer = AvroParquetWriter Concise example of how to write an Avro record out as JSON in Scala - HelloAvro.scala val parquetWriter = new AvroParquetWriter [GenericRecord](tmpParquetFile val parquetWriter = new AvroParquetWriter [GenericRecord](tmpParquetFile, schema) parquetWriter.write(user1) parquetWriter.write(user2) parquetWriter.close // Read both records back from the Parquet file: val parquetReader = new AvroParquetReader [GenericRecord](tmpParquetFile) while (true) {Option (parquetReader.read) match Exception thrown by AvroParquetWriter#write causes all subsequent calls to it to fail. Log In. and have attached a sample parquet file for each version. Attachments.

AvroParquetWriter.
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