| /* |
| * 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.compress.colgroup; |
| |
| import java.io.DataInput; |
| import java.io.DataOutput; |
| import java.io.IOException; |
| import java.util.Arrays; |
| import java.util.HashMap; |
| |
| import org.apache.commons.lang.NotImplementedException; |
| import org.apache.sysds.runtime.compress.CompressionSettings; |
| import org.apache.sysds.runtime.compress.utils.ABitmap; |
| import org.apache.sysds.runtime.compress.utils.LinearAlgebraUtils; |
| import org.apache.sysds.runtime.data.SparseRow; |
| import org.apache.sysds.runtime.matrix.operators.BinaryOperator; |
| import org.apache.sysds.runtime.matrix.operators.ScalarOperator; |
| |
| /** |
| * Class to encapsulate information about a column group that is encoded with dense dictionary encoding (DDC) using 1 |
| * byte codes. |
| */ |
| public class ColGroupDDC1 extends ColGroupDDC { |
| private static final long serialVersionUID = 5204955589230760157L; |
| |
| private byte[] _data; |
| |
| protected ColGroupDDC1() { |
| super(); |
| } |
| |
| protected ColGroupDDC1(int[] colIndices, int numRows, ABitmap ubm, CompressionSettings cs) { |
| super(colIndices, numRows, ubm, cs); |
| |
| int numVals = ubm.getNumValues(); |
| int numCols = ubm.getNumColumns(); |
| |
| _data = new byte[numRows]; |
| // materialize zero values, if necessary |
| if(ubm.getNumOffsets() < (long) numRows * numCols) { |
| int zeroIx = containsAllZeroValue(); |
| if(zeroIx < 0) { |
| // Utilize the index of the length as a zero index, Makes lookups slower, but removes |
| // the need to allocate a new Dictionary |
| zeroIx = numVals; |
| } |
| Arrays.fill(_data, (byte) zeroIx); |
| _zeros = true; |
| } |
| |
| // iterate over values and write dictionary codes |
| for(int i = 0; i < numVals; i++) { |
| int[] tmpList = ubm.getOffsetsList(i).extractValues(); |
| int tmpListSize = ubm.getNumOffsets(i); |
| for(int k = 0; k < tmpListSize; k++) |
| _data[tmpList[k]] = (byte) i; |
| } |
| } |
| |
| protected ColGroupDDC1(int[] colIndices, int numRows, ADictionary dict, byte[] data, boolean zeros, |
| int[] cachedCounts) { |
| super(colIndices, numRows, dict, cachedCounts); |
| _data = data; |
| _zeros = zeros; |
| } |
| |
| @Override |
| protected ColGroupType getColGroupType() { |
| return ColGroupType.DDC1; |
| } |
| |
| /** |
| * Getter method to get the data, contained in The DDC ColGroup. |
| * |
| * @return The contained data |
| */ |
| public byte[] getData() { |
| return _data; |
| } |
| |
| @Override |
| public void rightMultByVector(double[] b, double[] c, int rl, int ru, double[] dictVals) { |
| final int numVals = getNumValues(); |
| double[] vals = preaggValues(numVals, b, dictVals); |
| LinearAlgebraUtils.vectListAdd(vals, c, _data, rl, ru); |
| } |
| |
| @Override |
| public void rightMultByMatrix(double[] preAggregatedB, double[] c, int thatNrColumns, int rl, int ru, int cl, |
| int cu) { |
| LinearAlgebraUtils.vectListAddDDC(preAggregatedB, c, _data, rl, ru, cl, cu, thatNrColumns, getNumValues()); |
| } |
| |
| @Override |
| public void rightMultBySparseMatrix(SparseRow[] rows, double[] c, int numVals, double[] dictVals, int nrColumns, |
| int rl, int ru) { |
| if(rows.length > 1) { |
| throw new NotImplementedException("Not Implemented CoCoded right Sparse Multiply"); |
| } |
| for(int i = 0; i < rows[0].size(); i++) { |
| double[] vals = sparsePreaggValues(numVals, rows[0].values()[i], false, dictVals); |
| LinearAlgebraUtils.vectListAdd(vals, c, _data, rl, ru, rows[0].indexes()[i] * _numRows); |
| } |
| } |
| |
| @Override |
| protected int getIndex(int r) { |
| return _data[r] & 0xFF; |
| } |
| |
| @Override |
| protected int getIndex(int r, int colIx) { |
| return _data[r] & 0xFF * getNumCols() + colIx; |
| } |
| |
| @Override |
| protected double getData(int r, double[] values) { |
| int index = (_data[r] & 0xFF); |
| return (index < values.length) ? values[index] : 0.0; |
| } |
| |
| @Override |
| protected double getData(int r, int colIx, double[] values) { |
| int index = (_data[r] & 0xFF) * getNumCols() + colIx; |
| return (index < values.length) ? values[index] : 0.0; |
| } |
| |
| @Override |
| protected void setData(int r, int code) { |
| _data[r] = (byte) code; |
| } |
| |
| public void recodeData(HashMap<Double, Integer> map) { |
| // prepare translation table |
| final int numVals = getNumValues(); |
| final double[] values = getValues(); |
| byte[] lookup = new byte[numVals]; |
| for(int k = 0; k < numVals; k++) |
| lookup[k] = map.get(values[k]).byteValue(); |
| |
| // recode the data |
| for(int i = 0; i < _numRows; i++) |
| _data[i] = lookup[_data[i] & 0xFF]; |
| } |
| |
| @Override |
| public void write(DataOutput out) throws IOException { |
| super.write(out); |
| // write data |
| for(int i = 0; i < _numRows; i++) |
| out.writeByte(_data[i]); |
| } |
| |
| @Override |
| public void readFields(DataInput in) throws IOException { |
| super.readFields(in); |
| // read data |
| _data = new byte[_numRows]; |
| for(int i = 0; i < _numRows; i++) |
| _data[i] = in.readByte(); |
| } |
| |
| @Override |
| public long getExactSizeOnDisk() { |
| long ret = super.getExactSizeOnDisk(); |
| ret += _data.length; |
| return ret; |
| } |
| |
| @Override |
| public long estimateInMemorySize() { |
| return ColGroupSizes.estimateInMemorySizeDDC1(getNumCols(), getNumValues(), _data.length, isLossy()); |
| } |
| |
| @Override |
| public ColGroup scalarOperation(ScalarOperator op) { |
| double val0 = op.executeScalar(0); |
| if(op.sparseSafe || val0 == 0 || !_zeros) { |
| return new ColGroupDDC1(_colIndexes, _numRows, applyScalarOp(op), _data, _zeros, getCachedCounts()); |
| } |
| else { |
| return new ColGroupDDC1(_colIndexes, _numRows, applyScalarOp(op, val0, _colIndexes.length), _data, false, |
| getCachedCounts()); |
| } |
| } |
| |
| @Override |
| public ColGroup binaryRowOp(BinaryOperator op, double[] v, boolean sparseSafe) { |
| sparseSafe = sparseSafe || !_zeros; |
| return new ColGroupDDC1(_colIndexes, _numRows, applyBinaryRowOp(op.fn, v, sparseSafe), _data, !sparseSafe, |
| getCachedCounts()); |
| } |
| |
| @Override |
| public String toString() { |
| StringBuilder sb = new StringBuilder(); |
| sb.append(super.toString()); |
| sb.append("\nDataLength: " + this._data.length); |
| sb.append(Arrays.toString(this._data)); |
| return sb.toString(); |
| } |
| } |