org.apache.arrow.vector.ipc.ArrowFileReader Java Examples
The following examples show how to use
org.apache.arrow.vector.ipc.ArrowFileReader.
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Example #1
Source File: YosegiArrowWriter.java From yosegi with Apache License 2.0 | 6 votes |
/** * Append from arrow byte array. */ public void append( final byte[] buffer ) throws IOException { ArrowFileReader arrowReader = new ArrowFileReader( new SeekableInMemoryByteChannel( buffer ) , new RootAllocator( Integer.MAX_VALUE ) ); List<ArrowBlock> blockList = arrowReader.getRecordBlocks(); for ( ArrowBlock block : blockList ) { VectorSchemaRoot root = arrowReader.getVectorSchemaRoot(); arrowReader.loadRecordBatch(block); append( root ); } }
Example #2
Source File: ArrowUtils.java From konduit-serving with Apache License 2.0 | 6 votes |
public static Pair<Schema, ArrowWritableRecordBatch> readFromFile(FileInputStream input) throws IOException { BufferAllocator allocator = new RootAllocator(9223372036854775807L); Schema retSchema = null; ArrowWritableRecordBatch ret = null; SeekableReadChannel channel = new SeekableReadChannel(input.getChannel()); ArrowFileReader reader = new ArrowFileReader(channel, allocator); reader.loadNextBatch(); retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema()); VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot()); VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot()); ArrowRecordBatch recordBatch = unloader.getRecordBatch(); vectorLoader.load(recordBatch); ret = asDataVecBatch(recordBatch, retSchema, reader.getVectorSchemaRoot()); ret.setUnloader(unloader); return Pair.of(retSchema, ret); }
Example #3
Source File: ArrowUtils.java From konduit-serving with Apache License 2.0 | 6 votes |
public static Pair<Schema, ArrowWritableRecordBatch> readFromBytes(byte[] input) throws IOException { BufferAllocator allocator = new RootAllocator(9223372036854775807L); Schema retSchema = null; ArrowWritableRecordBatch ret = null; SeekableReadChannel channel = new SeekableReadChannel(new ByteArrayReadableSeekableByteChannel(input)); ArrowFileReader reader = new ArrowFileReader(channel, allocator); reader.loadNextBatch(); retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema()); VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot()); VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot()); ArrowRecordBatch recordBatch = unloader.getRecordBatch(); vectorLoader.load(recordBatch); ret = asDataVecBatch(recordBatch, retSchema, reader.getVectorSchemaRoot()); ret.setUnloader(unloader); return Pair.of(retSchema, ret); }
Example #4
Source File: Twister2ArrowFileReader.java From twister2 with Apache License 2.0 | 6 votes |
public void initInputFile() { try { LOG.info("arrow schema:" + Schema.fromJSON(arrowSchema)); Path path = new Path(arrowInputFile); this.fileSystem = FileSystemUtils.get(path); this.fsDataInputStream = fileSystem.open(path); this.fileInputStream = new FileInputStream(arrowInputFile); this.arrowFileReader = new ArrowFileReader(new SeekableReadChannel( fileInputStream.getChannel()), rootAllocator); this.root = arrowFileReader.getVectorSchemaRoot(); arrowBlocks = arrowFileReader.getRecordBlocks(); LOG.info("\nReading the arrow file : " + arrowInputFile + "\tFile size:" + arrowInputFile.length() + "\tschema:" + root.getSchema().toString() + "\tArrow Blocks Size: " + arrowBlocks.size()); } catch (FileNotFoundException e) { throw new Twister2RuntimeException("File Not Found", e); } catch (Exception ioe) { throw new Twister2RuntimeException("IOException Occured", ioe); } }
Example #5
Source File: ArrowConverter.java From DataVec with Apache License 2.0 | 6 votes |
/** * Read a datavec schema and record set * from the given arrow file. * @param input the input to read * @return the associated datavec schema and record */ public static Pair<Schema,ArrowWritableRecordBatch> readFromFile(FileInputStream input) throws IOException { BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE); Schema retSchema = null; ArrowWritableRecordBatch ret = null; SeekableReadChannel channel = new SeekableReadChannel(input.getChannel()); ArrowFileReader reader = new ArrowFileReader(channel, allocator); reader.loadNextBatch(); retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema()); //load the batch VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot()); VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot()); ArrowRecordBatch recordBatch = unloader.getRecordBatch(); vectorLoader.load(recordBatch); ret = asDataVecBatch(recordBatch,retSchema,reader.getVectorSchemaRoot()); ret.setUnloader(unloader); return Pair.of(retSchema,ret); }
Example #6
Source File: ArrowConverter.java From DataVec with Apache License 2.0 | 6 votes |
/** * Read a datavec schema and record set * from the given bytes (usually expected to be an arrow format file) * @param input the input to read * @return the associated datavec schema and record */ public static Pair<Schema,ArrowWritableRecordBatch> readFromBytes(byte[] input) throws IOException { BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE); Schema retSchema = null; ArrowWritableRecordBatch ret = null; SeekableReadChannel channel = new SeekableReadChannel(new ByteArrayReadableSeekableByteChannel(input)); ArrowFileReader reader = new ArrowFileReader(channel, allocator); reader.loadNextBatch(); retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema()); //load the batch VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot()); VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot()); ArrowRecordBatch recordBatch = unloader.getRecordBatch(); vectorLoader.load(recordBatch); ret = asDataVecBatch(recordBatch,retSchema,reader.getVectorSchemaRoot()); ret.setUnloader(unloader); return Pair.of(retSchema,ret); }
Example #7
Source File: ArrowConverter.java From deeplearning4j with Apache License 2.0 | 6 votes |
/** * Read a datavec schema and record set * from the given arrow file. * @param input the input to read * @return the associated datavec schema and record */ public static Pair<Schema,ArrowWritableRecordBatch> readFromFile(FileInputStream input) throws IOException { BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE); Schema retSchema = null; ArrowWritableRecordBatch ret = null; SeekableReadChannel channel = new SeekableReadChannel(input.getChannel()); ArrowFileReader reader = new ArrowFileReader(channel, allocator); reader.loadNextBatch(); retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema()); //load the batch VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot()); VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot()); ArrowRecordBatch recordBatch = unloader.getRecordBatch(); vectorLoader.load(recordBatch); ret = asDataVecBatch(recordBatch,retSchema,reader.getVectorSchemaRoot()); ret.setUnloader(unloader); return Pair.of(retSchema,ret); }
Example #8
Source File: ArrowConverter.java From deeplearning4j with Apache License 2.0 | 6 votes |
/** * Read a datavec schema and record set * from the given bytes (usually expected to be an arrow format file) * @param input the input to read * @return the associated datavec schema and record */ public static Pair<Schema,ArrowWritableRecordBatch> readFromBytes(byte[] input) throws IOException { BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE); Schema retSchema = null; ArrowWritableRecordBatch ret = null; SeekableReadChannel channel = new SeekableReadChannel(new ByteArrayReadableSeekableByteChannel(input)); ArrowFileReader reader = new ArrowFileReader(channel, allocator); reader.loadNextBatch(); retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema()); //load the batch VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot()); VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot()); ArrowRecordBatch recordBatch = unloader.getRecordBatch(); vectorLoader.load(recordBatch); ret = asDataVecBatch(recordBatch,retSchema,reader.getVectorSchemaRoot()); ret.setUnloader(unloader); return Pair.of(retSchema,ret); }
Example #9
Source File: ConvertArrowFormatToMDS.java From multiple-dimension-spread with Apache License 2.0 | 5 votes |
public static int run( final String[] args ) throws IOException{ CommandLine cl; try{ CommandLineParser clParser = new GnuParser(); cl = clParser.parse( createOptions( args ) , args ); }catch( ParseException e ){ printHelp( args ); throw new IOException( e ); } if( cl.hasOption( "help" ) ){ printHelp( args ); return 0; } String input = cl.getOptionValue( "input" , null ); String output = cl.getOptionValue( "output" , null ); Configuration config = new Configuration(); ArrowFileReader arrowReader = new ArrowFileReader( new FileInputStream( input ).getChannel() , new RootAllocator( Integer.MAX_VALUE ) ); OutputStream out = FileUtil.create( output ); MDSWriter writer = new MDSWriter( out , config ); List<ArrowBlock> blockList = arrowReader.getRecordBlocks(); for( ArrowBlock block : blockList ){ VectorSchemaRoot root = arrowReader.getVectorSchemaRoot(); arrowReader.loadRecordBatch(block); List<FieldVector> fieldVectorList = root.getFieldVectors(); Spread spread = ArrowSpreadUtil.toSpread( root.getRowCount() , fieldVectorList ); writer.append( spread ); } arrowReader.close(); writer.close(); return 0; }
Example #10
Source File: ArrowRead.java From ArrowExample with Apache License 2.0 | 5 votes |
public void someDeadCode(ArrowFileReader arrowFileReader) throws IOException { for (ArrowBlock rbBlock : arrowFileReader.getRecordBlocks()) { if (!arrowFileReader.loadRecordBatch(rbBlock)) { throw new IOException("Expected to read record batch"); } System.out.println(" \t\t " + rbBlock); } }
Example #11
Source File: TestConvertArrowFormatTool.java From multiple-dimension-spread with Apache License 2.0 | 4 votes |
@Test public void T_convert_1() throws IOException{ byte[] mdsFile = createTestData(); InputStream in = new ByteArrayInputStream( mdsFile ); MDSReader reader = new MDSReader(); Configuration config = new Configuration(); reader.setNewStream( in , mdsFile.length , config ); MDSArrowReader arrowReader = new MDSArrowReader( reader , config ); File testFile = new File( "target/TestConvertArrowFormatTool_T_convert_1.mds" ); if( testFile.exists() ){ testFile.delete(); } FileOutputStream out = new FileOutputStream( testFile ); ConvertArrowFormatTool.convert( arrowReader , out , config ); FileInputStream arrowIn = new FileInputStream( testFile ); ArrowFileReader ar = new ArrowFileReader( arrowIn.getChannel() , new RootAllocator( Integer.MAX_VALUE ) ); VectorSchemaRoot root = ar.getVectorSchemaRoot(); ArrowBlock rbBlock = ar.getRecordBlocks().get(0); ar.loadRecordBatch(rbBlock); List<FieldVector> fieldVectorList = root.getFieldVectors(); Map<String,FieldVector> vectorMap = new HashMap<String,FieldVector>(); for( FieldVector v : fieldVectorList ){ vectorMap.put( v.getField().getName() , v ); } assertTrue( vectorMap.containsKey( "col1" ) ); assertTrue( vectorMap.containsKey( "col2" ) ); assertTrue( vectorMap.containsKey( "col3" ) ); BigIntVector col1 = (BigIntVector)( vectorMap.get( "col1" ) ); VarCharVector col2 = (VarCharVector)( vectorMap.get( "col2" ) ); VarCharVector col3 = (VarCharVector)( vectorMap.get( "col3" ) ); assertEquals( col1.get(0) , 100L ); assertEquals( col1.get(1) , 200L ); assertEquals( col1.get(2) , 300L ); assertEquals( col2.getObject(0).toString() , "aaa" ); assertTrue( col2.isNull(1) ); assertTrue( col2.isNull(2) ); assertTrue( col3.isNull(0) ); assertEquals( col3.getObject(1).toString() , "BBB" ); assertEquals( col3.getObject(2).toString() , "CCC" ); testFile.delete(); ar.close(); }
Example #12
Source File: ArrowRead.java From ArrowExample with Apache License 2.0 | 4 votes |
public void makeRead(String filename) throws Exception { File arrowFile = validateFile(filename, true); FileInputStream fileInputStream = new FileInputStream(arrowFile); DictionaryProvider.MapDictionaryProvider provider = new DictionaryProvider.MapDictionaryProvider(); ArrowFileReader arrowFileReader = new ArrowFileReader(new SeekableReadChannel(fileInputStream.getChannel()), this.ra); System.out.println("\nReading the arrow file : " + filename); VectorSchemaRoot root = arrowFileReader.getVectorSchemaRoot(); System.out.println("File size : " + arrowFile.length() + " schema is " + root.getSchema().toString()); List<ArrowBlock> arrowBlocks = arrowFileReader.getRecordBlocks(); System.out.println("Number of arrow blocks are " + arrowBlocks.size()); for (int i = 0; i < arrowBlocks.size(); i++) { ArrowBlock rbBlock = arrowBlocks.get(i); if (!arrowFileReader.loadRecordBatch(rbBlock)) { throw new IOException("Expected to read record batch"); } System.out.println("\t["+i+"] ArrowBlock, offset: " + rbBlock.getOffset() + ", metadataLength: " + rbBlock.getMetadataLength() + ", bodyLength " + rbBlock.getBodyLength()); /* we can now process this block, it is now loaded */ System.out.println("\t["+i+"] row count for this block is " + root.getRowCount()); List<FieldVector> fieldVector = root.getFieldVectors(); System.out.println("\t["+i+"] number of fieldVectors (corresponding to columns) : " + fieldVector.size()); for(int j = 0; j < fieldVector.size(); j++){ Types.MinorType mt = fieldVector.get(j).getMinorType(); switch(mt){ case INT: showIntAccessor(fieldVector.get(j)); break; case BIGINT: showBigIntAccessor(fieldVector.get(j)); break; case VARBINARY: showVarBinaryAccessor(fieldVector.get(j)); break; case FLOAT4: showFloat4Accessor(fieldVector.get(j));break; case FLOAT8: showFloat8Accessor(fieldVector.get(j));break; default: throw new Exception(" MinorType " + mt); } //showAccessor(fieldVector.get(j).getAccessor()); //System.out.println("\t["+i+"] accessor " + j + " | " + getAccessorString(accessor)); } } System.out.println("Done processing the file"); arrowFileReader.close(); long s1 = this.intCsum + this.longCsum + this.arrCsum + this.floatCsum; System.out.println("intSum " + intCsum + " longSum " + longCsum + " arrSum " + arrCsum + " floatSum " + floatCsum + " = " + s1); System.err.println("Colsum Checksum > " + this.checkSumx + " , difference " + (s1 - this.checkSumx)); }