Java tutorial
/** * (C) Copyright IBM Corp. 2010, 2015 * * Licensed 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 com.ibm.bi.dml.runtime.io; import java.io.IOException; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.SequenceFile; import org.apache.hadoop.mapred.JobConf; import com.ibm.bi.dml.conf.ConfigurationManager; import com.ibm.bi.dml.runtime.DMLRuntimeException; import com.ibm.bi.dml.runtime.matrix.data.MatrixBlock; import com.ibm.bi.dml.runtime.matrix.data.MatrixCell; import com.ibm.bi.dml.runtime.matrix.data.MatrixIndexes; /** * * */ public class ReaderBinaryCell extends MatrixReader { @Override public MatrixBlock readMatrixFromHDFS(String fname, long rlen, long clen, int brlen, int bclen, long estnnz) throws IOException, DMLRuntimeException { //allocate output matrix block MatrixBlock ret = createOutputMatrixBlock(rlen, clen, estnnz, true, false); //prepare file access JobConf job = new JobConf(ConfigurationManager.getCachedJobConf()); FileSystem fs = FileSystem.get(job); Path path = new Path(fname); //check existence and non-empty file checkValidInputFile(fs, path); //core read readBinaryCellMatrixFromHDFS(path, job, fs, ret, rlen, clen, brlen, bclen); //finally check if change of sparse/dense block representation required //(nnz maintained via append during read for both dense/sparse) ret.examSparsity(); return ret; } /** * * @param path * @param job * @param fs * @param dest * @param rlen * @param clen * @param brlen * @param bclen * @throws IOException */ @SuppressWarnings("deprecation") private void readBinaryCellMatrixFromHDFS(Path path, JobConf job, FileSystem fs, MatrixBlock dest, long rlen, long clen, int brlen, int bclen) throws IOException { boolean sparse = dest.isInSparseFormat(); MatrixIndexes key = new MatrixIndexes(); MatrixCell value = new MatrixCell(); int row = -1; int col = -1; try { for (Path lpath : getSequenceFilePaths(fs, path)) //1..N files { //directly read from sequence files (individual partfiles) SequenceFile.Reader reader = new SequenceFile.Reader(fs, lpath, job); try { if (sparse) { while (reader.next(key, value)) { row = (int) key.getRowIndex() - 1; col = (int) key.getColumnIndex() - 1; double lvalue = value.getValue(); dest.appendValue(row, col, lvalue); } } else { while (reader.next(key, value)) { row = (int) key.getRowIndex() - 1; col = (int) key.getColumnIndex() - 1; double lvalue = value.getValue(); dest.appendValue(row, col, lvalue); } } } finally { IOUtilFunctions.closeSilently(reader); } } if (sparse) dest.sortSparseRows(); } catch (Exception ex) { //post-mortem error handling and bounds checking if (row < 0 || row + 1 > rlen || col < 0 || col + 1 > clen) { throw new IOException("Matrix cell [" + (row + 1) + "," + (col + 1) + "] " + "out of overall matrix range [1:" + rlen + ",1:" + clen + "]."); } else { throw new IOException("Unable to read matrix in binary cell format.", ex); } } } }