| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, |
| * software distributed under the License is distributed on an |
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| * KIND, either express or implied. See the License for the |
| * specific language governing permissions and limitations |
| * under the License. |
| */ |
| |
| package org.apache.sysds.runtime.controlprogram.caching; |
| |
| |
| import org.apache.commons.lang.mutable.MutableBoolean; |
| import org.apache.spark.api.java.JavaPairRDD; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.DataType; |
| import org.apache.sysds.common.Types.FileFormat; |
| import org.apache.sysds.common.Types.ValueType; |
| import org.apache.sysds.runtime.DMLRuntimeException; |
| import org.apache.sysds.runtime.controlprogram.context.SparkExecutionContext; |
| import org.apache.sysds.runtime.data.TensorBlock; |
| import org.apache.sysds.runtime.data.TensorIndexes; |
| import org.apache.sysds.runtime.instructions.spark.data.RDDObject; |
| import org.apache.sysds.runtime.io.FileFormatProperties; |
| import org.apache.sysds.runtime.meta.DataCharacteristics; |
| import org.apache.sysds.runtime.meta.MetaData; |
| import org.apache.sysds.runtime.meta.MetaDataFormat; |
| import org.apache.sysds.runtime.meta.TensorCharacteristics; |
| import org.apache.sysds.runtime.util.DataConverter; |
| |
| import java.io.IOException; |
| import java.util.Arrays; |
| |
| public class TensorObject extends CacheableData<TensorBlock> { |
| private static final long serialVersionUID = -2843358400200380775L; |
| |
| protected TensorObject() { |
| super(DataType.TENSOR, ValueType.STRING); |
| } |
| |
| public TensorObject(String fname) { |
| this(); |
| setFileName(fname); |
| } |
| |
| public TensorObject(ValueType vt, String fname) { |
| super(DataType.TENSOR, vt); |
| setFileName(fname); |
| } |
| |
| public TensorObject(String fname, MetaData meta) { |
| this(); |
| setFileName(fname); |
| setMetaData(meta); |
| } |
| |
| /** |
| * Copy constructor that copies meta data but NO data. |
| * |
| * @param fo frame object |
| */ |
| public TensorObject(TensorObject fo) { |
| super(fo); |
| } |
| |
| @Override |
| public void refreshMetaData() { |
| if ( _data == null || _metaData == null ) //refresh only for existing data |
| throw new DMLRuntimeException("Cannot refresh meta data because there is no data or meta data. "); |
| |
| //update matrix characteristics |
| DataCharacteristics tc = _metaData.getDataCharacteristics(); |
| long[] dims = _metaData.getDataCharacteristics().getDims(); |
| tc.setDims(dims); |
| tc.setNonZeros(_data.getNonZeros()); |
| } |
| |
| public long getNumRows() { |
| DataCharacteristics dc = getDataCharacteristics(); |
| return dc.getDim(0); |
| } |
| |
| public long getNumColumns() { |
| DataCharacteristics dc = getDataCharacteristics(); |
| return dc.getDim(1); |
| } |
| |
| public long getNnz() { |
| return getDataCharacteristics().getNonZeros(); |
| } |
| |
| @Override |
| protected TensorBlock readBlobFromCache(String fname) throws IOException { |
| return (TensorBlock) LazyWriteBuffer.readBlock(fname, false); |
| } |
| |
| @Override |
| protected TensorBlock readBlobFromHDFS(String fname, long[] dims) |
| throws IOException { |
| MetaDataFormat iimd = (MetaDataFormat) _metaData; |
| DataCharacteristics dc = iimd.getDataCharacteristics(); |
| long begin = 0; |
| |
| if( LOG.isTraceEnabled() ) { |
| LOG.trace("Reading tensor from HDFS... " + hashCode() + " Path: " + fname + |
| ", dimensions: " + Arrays.toString(dims)); |
| begin = System.currentTimeMillis(); |
| } |
| |
| int blen = dc.getBlocksize(); |
| //read tensor and maintain meta data |
| TensorBlock newData = DataConverter.readTensorFromHDFS(fname, iimd.getFileFormat(), dims, blen, getSchema()); |
| setHDFSFileExists(true); |
| |
| //sanity check correct output |
| if( newData == null ) |
| throw new IOException("Unable to load tensor from file: "+fname); |
| |
| if( LOG.isTraceEnabled() ) |
| LOG.trace("Reading Completed: " + (System.currentTimeMillis()-begin) + " msec."); |
| |
| return newData; |
| } |
| |
| @Override |
| @SuppressWarnings("unchecked") |
| protected TensorBlock readBlobFromRDD(RDDObject rdd, MutableBoolean status) { |
| status.setValue(false); |
| TensorCharacteristics tc = (TensorCharacteristics) _metaData.getDataCharacteristics(); |
| // TODO correct blocksize; |
| // TODO read from RDD |
| return SparkExecutionContext.toTensorBlock((JavaPairRDD<TensorIndexes, TensorBlock>) rdd.getRDD(), tc); |
| } |
| |
| @Override |
| protected void writeBlobToHDFS(String fname, String ofmt, int rep, FileFormatProperties fprop) |
| throws IOException, DMLRuntimeException { |
| long begin = 0; |
| if (LOG.isTraceEnabled()) { |
| LOG.trace(" Writing tensor to HDFS... " + hashCode() + " Path: " + fname + ", Format: " + |
| (ofmt != null ? ofmt : "inferred from metadata")); |
| begin = System.currentTimeMillis(); |
| } |
| |
| MetaDataFormat iimd = (MetaDataFormat) _metaData; |
| |
| if (_data != null) { |
| // Get the dimension information from the metadata stored within TensorObject |
| DataCharacteristics dc = iimd.getDataCharacteristics(); |
| // Write the tensor to HDFS in requested format |
| FileFormat fmt = (ofmt != null ? FileFormat.safeValueOf(ofmt) : iimd.getFileFormat()); |
| |
| //TODO check correct blocking |
| DataConverter.writeTensorToHDFS(_data, fname, fmt, dc); |
| if( LOG.isTraceEnabled() ) |
| LOG.trace("Writing tensor to HDFS ("+fname+") - COMPLETED... " + (System.currentTimeMillis()-begin) + " msec."); |
| } |
| else if (LOG.isTraceEnabled()) { |
| LOG.trace("Writing tensor to HDFS (" + fname + ") - NOTHING TO WRITE (_data == null)."); |
| } |
| if( DMLScript.STATISTICS ) |
| CacheStatistics.incrementHDFSWrites(); |
| } |
| |
| @Override |
| protected ValueType[] getSchema() { |
| return _data.getSchema(); |
| } |
| |
| @Override |
| protected void writeBlobFromRDDtoHDFS(RDDObject rdd, String fname, String ofmt) |
| throws DMLRuntimeException { |
| //TODO rdd write |
| } |
| } |