org.datavec.arrow.recordreader.ArrowRecordWriter Java Examples
The following examples show how to use
org.datavec.arrow.recordreader.ArrowRecordWriter.
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Example #1
Source File: ArrowBinaryInputAdapterTest.java From konduit-serving with Apache License 2.0 | 6 votes |
@Test(timeout = 60000) public void testArrowBinary() throws Exception { Schema irisInputSchema = TrainUtils.getIrisInputSchema(); ArrowRecordWriter arrowRecordWriter = new ArrowRecordWriter(irisInputSchema); CSVRecordReader reader = new CSVRecordReader(); reader.initialize(new FileSplit(new ClassPathResource("iris.txt").getFile())); List<List<Writable>> writables = reader.next(150); File tmpFile = new File(temporary.getRoot(), "tmp.arrow"); FileSplit fileSplit = new FileSplit(tmpFile); arrowRecordWriter.initialize(fileSplit, new NumberOfRecordsPartitioner()); arrowRecordWriter.writeBatch(writables); byte[] arrowBytes = FileUtils.readFileToByteArray(tmpFile); Buffer buffer = Buffer.buffer(arrowBytes); ArrowBinaryInputAdapter arrowBinaryInputAdapter = new ArrowBinaryInputAdapter(); ArrowWritableRecordBatch convert = arrowBinaryInputAdapter.convert(buffer, ConverterArgs.builder().schema(irisInputSchema).build(), null); assertEquals(writables.size(), convert.size()); }
Example #2
Source File: BatchInputParserMultiRecordTest.java From konduit-serving with Apache License 2.0 | 6 votes |
@Test(timeout = 60000) public void runAdd(TestContext testContext) throws Exception { BatchInputArrowParserVerticle verticleRef = (BatchInputArrowParserVerticle) verticle; Schema irisInputSchema = TrainUtils.getIrisInputSchema(); ArrowRecordWriter arrowRecordWriter = new ArrowRecordWriter(irisInputSchema); CSVRecordReader reader = new CSVRecordReader(); reader.initialize(new FileSplit(new ClassPathResource("iris.txt").getFile())); List<List<Writable>> writables = reader.next(150); File tmpFile = new File(temporary.getRoot(), "tmp.arrow"); FileSplit fileSplit = new FileSplit(tmpFile); arrowRecordWriter.initialize(fileSplit, new NumberOfRecordsPartitioner()); arrowRecordWriter.writeBatch(writables); given().port(port) .multiPart("input1", tmpFile) .when().post("/") .then().statusCode(200); testContext.assertNotNull(verticleRef.getBatch(), "Inputs were null. This means parsing failed."); testContext.assertTrue(verticleRef.getBatch().length >= 1); testContext.assertNotNull(verticleRef.getBatch()); testContext.assertEquals(150, verticleRef.getBatch().length); }
Example #3
Source File: RecordMapperTest.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testCopyFromCsvToArrow() throws Exception { val recordsPair = records(); Path p = Files.createTempFile("csvwritetest", ".csv"); FileUtils.write(p.toFile(),recordsPair.getFirst()); p.toFile().deleteOnExit(); CSVRecordReader recordReader = new CSVRecordReader(); FileSplit fileSplit = new FileSplit(p.toFile()); ArrowRecordWriter arrowRecordWriter = new ArrowRecordWriter(recordsPair.getMiddle()); File outputFile = Files.createTempFile("outputarrow","arrow").toFile(); FileSplit outputFileSplit = new FileSplit(outputFile); RecordMapper mapper = RecordMapper.builder().batchSize(10).inputUrl(fileSplit) .outputUrl(outputFileSplit).partitioner(new NumberOfRecordsPartitioner()) .recordReader(recordReader).recordWriter(arrowRecordWriter) .build(); mapper.copy(); ArrowRecordReader arrowRecordReader = new ArrowRecordReader(); arrowRecordReader.initialize(outputFileSplit); List<List<Writable>> next = arrowRecordReader.next(10); System.out.println(next); assertEquals(10,next.size()); }
Example #4
Source File: RecordMapperTest.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testCopyFromCsvToArrow() throws Exception { val recordsPair = records(); Path p = Files.createTempFile("csvwritetest", ".csv"); FileUtils.write(p.toFile(),recordsPair.getFirst()); p.toFile().deleteOnExit(); CSVRecordReader recordReader = new CSVRecordReader(); FileSplit fileSplit = new FileSplit(p.toFile()); ArrowRecordWriter arrowRecordWriter = new ArrowRecordWriter(recordsPair.getMiddle()); File outputFile = Files.createTempFile("outputarrow","arrow").toFile(); FileSplit outputFileSplit = new FileSplit(outputFile); RecordMapper mapper = RecordMapper.builder().batchSize(10).inputUrl(fileSplit) .outputUrl(outputFileSplit).partitioner(new NumberOfRecordsPartitioner()) .recordReader(recordReader).recordWriter(arrowRecordWriter) .build(); mapper.copy(); ArrowRecordReader arrowRecordReader = new ArrowRecordReader(); arrowRecordReader.initialize(outputFileSplit); List<List<Writable>> next = arrowRecordReader.next(10); System.out.println(next); assertEquals(10,next.size()); }