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The NetCDF-Java Library is a Java interface to NetCDF files, as well as to many other types of scientific data formats.

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/*
 * Copyright 1998-2014 University Corporation for Atmospheric Research/Unidata
 *
 *   Portions of this software were developed by the Unidata Program at the
 *   University Corporation for Atmospheric Research.
 *
 *   Access and use of this software shall impose the following obligations
 *   and understandings on the user. The user is granted the right, without
 *   any fee or cost, to use, copy, modify, alter, enhance and distribute
 *   this software, and any derivative works thereof, and its supporting
 *   documentation for any purpose whatsoever, provided that this entire
 *   notice appears in all copies of the software, derivative works and
 *   supporting documentation.  Further, UCAR requests that the user credit
 *   UCAR/Unidata in any publications that result from the use of this
 *   software or in any product that includes this software. The names UCAR
 *   and/or Unidata, however, may not be used in any advertising or publicity
 *   to endorse or promote any products or commercial entity unless specific
 *   written permission is obtained from UCAR/Unidata. The user also
 *   understands that UCAR/Unidata is not obligated to provide the user with
 *   any support, consulting, training or assistance of any kind with regard
 *   to the use, operation and performance of this software nor to provide
 *   the user with any updates, revisions, new versions or "bug fixes."
 *
 *   THIS SOFTWARE IS PROVIDED BY UCAR/UNIDATA "AS IS" AND ANY EXPRESS OR
 *   IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 *   WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 *   DISCLAIMED. IN NO EVENT SHALL UCAR/UNIDATA BE LIABLE FOR ANY SPECIAL,
 *   INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING
 *   FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT,
 *   NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION
 *   WITH THE ACCESS, USE OR PERFORMANCE OF THIS SOFTWARE.
 */
package ucar.nc2;

import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import ucar.ma2.*;
import ucar.nc2.write.Nc4Chunking;
import ucar.nc2.util.CancelTask;
import ucar.nc2.util.CancelTaskImpl;

/**
 * Utility class for copying a NetcdfFile object, or parts of one, to a netcdf-3 or netcdf-4 disk file.
 * Uses NetcdfFileWriter.
 * This handles the entire CDM model (groups, etc) if you are writing to netcdf-4.
 * 

* The fileIn may be an NcML file which has a referenced dataset in the location URL, the underlying data * (modified by the NcML) is written to the new file. If the NcML does not have a referenced dataset, * then the new file is filled with fill values, like ncgen. *

*

Use a NetcdfFileWriter object for a lower level API. * * @see ucar.nc2.dt.grid.CFGridWriter2 * @see ucar.nc2.ft.point.writer.CFPointWriter * * @author caron */ public class FileWriter2 { static private final org.slf4j.Logger log = org.slf4j.LoggerFactory.getLogger(FileWriter2.class); static private final long maxSize = 50 * 1000 * 1000; // 50 Mbytes static private boolean debug = false, debugWrite = false, debugChunk = false; /** * Set debugging flags * * @param debugFlags debug flags */ public static void setDebugFlags(ucar.nc2.util.DebugFlags debugFlags) { debug = debugFlags.isSet("ncfileWriter2/debug"); debugWrite = debugFlags.isSet("ncfileWriter2/debugWrite"); debugChunk = debugFlags.isSet("ncfileWriter2/debugChunk"); } ////////////////////////////////////////////////////////////////////////////////////// private final NetcdfFile fileIn; private final NetcdfFileWriter writer; private final NetcdfFileWriter.Version version; private final Map varMap = new HashMap<>(100); // oldVar, newVar private final List varList = new ArrayList<>(100); // old Vars private final Map gdimHash = new HashMap<>(33); // name, newDim : global dimensions (classic mode) /** * Use this constructor to copy entire file. Use this.write() to do actual copy. * * @param fileIn copy this file * @param fileOutName to this output file * @param version output file version * @param chunker chunking strategy (netcdf4 only) * @throws IOException on read/write error */ public FileWriter2(NetcdfFile fileIn, String fileOutName, NetcdfFileWriter.Version version, Nc4Chunking chunker) throws IOException { this.fileIn = fileIn; this.writer = NetcdfFileWriter.createNew(version, fileOutName, chunker); this.version = version; } public enum N3StructureStrategy {flatten, exclude} private N3StructureStrategy n3StructureStrategy; public void setN3StructureStrategy(N3StructureStrategy n3StructureStrategy) { this.n3StructureStrategy = n3StructureStrategy; } public NetcdfFileWriter getNetcdfFileWriter() { return writer; } ///////////////////////////////////////////////////////////////////////////////////////////// // might be better to push these next up int NetcdfCFWriter, but we want to use copyVarData /** * Use this constructor to copy specific variables to new file. * Only supports classic mode *

* Use addVariable() to load in variables, then this.write(). * * @param fileWriter this encapsolates new file. * @throws IOException on read/write error */ public FileWriter2(NetcdfFileWriter fileWriter) throws IOException { this.fileIn = null; this.writer = fileWriter; this.version = fileWriter.getVersion(); } /** * Specify which variable will get written * * @param oldVar add this variable, and all parent groups * @return new Variable. */ public Variable addVariable(Variable oldVar) { List newDims = getNewDimensions(oldVar); Variable newVar; if ((oldVar.getDataType().equals(DataType.STRING)) && (!version.isExtendedModel())) { newVar = writer.addStringVariable(null, oldVar, newDims); } else { newVar = writer.addVariable(null, oldVar.getShortName(), oldVar.getDataType(), newDims); } varMap.put(oldVar, newVar); varList.add(oldVar); for (Attribute att : oldVar.getAttributes()) writer.addVariableAttribute(newVar, att); // atts are immutable return newVar; } private List getNewDimensions(Variable oldVar) { List result = new ArrayList<>(oldVar.getRank()); // dimensions for (Dimension oldD : oldVar.getDimensions()) { Dimension newD = gdimHash.get(oldD.getShortName()); if (newD == null) { newD = writer.addDimension(null, oldD.getShortName(), oldD.isUnlimited() ? 0 : oldD.getLength(), oldD.isShared(), oldD.isUnlimited(), oldD.isVariableLength()); gdimHash.put(oldD.getShortName(), newD); if (debug) System.out.println("add dim= " + newD); } result.add(newD); } return result; } //////////////////////////////////////////////////////////////////////////////////////////////// public NetcdfFile write() throws IOException { return write(null); } /** * Write the input file to the output file. * @param cancel allow user to cancel; may be null. * @return the open output file. * @throws IOException */ public NetcdfFile write(CancelTask cancel) throws IOException { try { if (version.isExtendedModel()) addGroupExtended(null, fileIn.getRootGroup()); else addGroupClassic(); if (cancel != null && cancel.isCancel()) return null; // create the file writer.create(); if (cancel != null && cancel.isCancel()) return null; double total = copyVarData(varList, null, cancel); if (cancel != null && cancel.isCancel()) return null; writer.flush(); if (debug) System.out.println("FileWriter done total bytes = " + total); } catch (IOException ioe) { ioe.printStackTrace(); writer.abort(); // clean up throw ioe; } return writer.getNetcdfFile(); } private void addGroupClassic() throws IOException { if (fileIn.getRootGroup().getGroups().size() != 0) { throw new IllegalStateException("Input file has nested groups: cannot write to netcdf-3 format"); } // attributes for (Attribute att : fileIn.getGlobalAttributes()) { writer.addGroupAttribute(null, att); // atts are immutable if (debug) System.out.println("add gatt= " + att); } // dimensions Map dimHash = new HashMap<>(); for (Dimension oldD : fileIn.getDimensions()) { Dimension newD = writer.addDimension(null, oldD.getShortName(), oldD.isUnlimited() ? 0 : oldD.getLength(), oldD.isShared(), oldD.isUnlimited(), oldD.isVariableLength()); dimHash.put(oldD.getShortName(), newD); if (debug) System.out.println("add dim= " + newD); } // Variables int anonCount = 0; for (Variable oldVar : fileIn.getVariables()) { if (oldVar instanceof Structure) continue; // ignore for the moment List dims = new ArrayList<>(); for (Dimension oldD : oldVar.getDimensions()) { if (!oldD.isShared()) { // netcdf3 dimensions must be shared String anonName = "anon" + anonCount; anonCount++; Dimension newD = writer.addDimension(null, anonName, oldD.getLength()); dims.add(newD); } else { Dimension dim = dimHash.get(oldD.getShortName()); if (dim != null) dims.add(dim); else throw new IllegalStateException("Unknown dimension= " + oldD.getShortName()); } } DataType newType = oldVar.getDataType(); // convert STRING to CHAR if (oldVar.getDataType() == DataType.STRING) { Array data = oldVar.read(); IndexIterator ii = data.getIndexIterator(); int max_len = 0; while (ii.hasNext()) { String s = (String) ii.getObjectNext(); max_len = Math.max(max_len, s.length()); } // add last dimension String useName = oldVar.getShortName() + "_strlen"; Dimension newD = writer.addDimension(null, useName, max_len); dims.add(newD); newType = DataType.CHAR; } Variable v = writer.addVariable(null, oldVar.getShortName(), newType, dims); if (debug) System.out.println("add var= " + v.getNameAndDimensions()); varMap.put(oldVar, v); varList.add(oldVar); // attributes for (Attribute att : oldVar.getAttributes()) { writer.addVariableAttribute(v, att); // atts are immutable } } } private void addGroupExtended(Group newParent, Group oldGroup) throws IOException { Group newGroup = writer.addGroup(newParent, oldGroup.getShortName()); // attributes for (Attribute att : oldGroup.getAttributes()) { writer.addGroupAttribute(newGroup, att); // atts are immutable if (debug) System.out.println("add gatt= " + att); } // typedefs for (EnumTypedef td : oldGroup.getEnumTypedefs()) { writer.addTypedef(newGroup, td); // td are immutable if (debug) System.out.println("add td= " + td); } // dimensions Map dimHash = new HashMap<>(); for (Dimension oldD : oldGroup.getDimensions()) { Dimension newD = writer.addDimension(newGroup, oldD.getShortName(), oldD.isUnlimited() ? 0 : oldD.getLength(), oldD.isShared(), oldD.isUnlimited(), oldD.isVariableLength()); dimHash.put(oldD.getShortName(), newD); if (debug) System.out.println("add dim= " + newD); } // Variables for (Variable oldVar : oldGroup.getVariables()) { List dims = new ArrayList<>(); for (Dimension oldD : oldVar.getDimensions()) { // in case the name changed Dimension newD = oldD.isShared() ? dimHash.get(oldD.getShortName()) : oldD; if (newD == null) newD = newParent.findDimension(oldD.getShortName()); if (newD == null) throw new IllegalStateException("Cant find dimension " + oldD.getShortName()); dims.add(newD); } DataType newType = oldVar.getDataType(); Variable v; if (newType == DataType.STRUCTURE) { v = writer.addStructure(newGroup, (Structure) oldVar, oldVar.getShortName(), dims); } else { v = writer.addVariable(newGroup, oldVar.getShortName(), newType, dims); } varMap.put(oldVar, v); varList.add(oldVar); if (debug) System.out.println("add var= " + v); // attributes for (Attribute att : oldVar.getAttributes()) writer.addVariableAttribute(v, att); // atts are immutable } // nested groups for (Group nested : oldGroup.getGroups()) addGroupExtended(newGroup, nested); } /** * Write data from varList into new file. Read/Write a maximum of maxSize bytes at a time. * When theres a record variable, its much more efficient to use it. * * @param oldVars list of variables from the original file, with data in them * @param recordVar the record variable from the original file, or null means dont use record variables * @param cancel allow user to cancel, may be null. * @return total number of bytes written * @throws IOException if I/O error */ public double copyVarData(List oldVars, Structure recordVar, CancelTask cancel) throws IOException { boolean useRecordDimension = (recordVar != null); // write non-record data double total = 0; int countVars = 0; for (Variable oldVar : oldVars) { if (useRecordDimension && oldVar.isUnlimited()) continue; // skip record variables if (oldVar == recordVar) continue; if (debug) System.out.println("write var= " + oldVar.getShortName() + " size = " + oldVar.getSize() + " type=" + oldVar.getDataType()); if (cancel != null) cancel.setProgress("writing " + oldVar.getShortName(), countVars++); long size = oldVar.getSize() * oldVar.getElementSize(); total += size; if (size <= maxSize) { copyAll(oldVar, varMap.get(oldVar)); } else { copySome(oldVar, varMap.get(oldVar), maxSize, cancel); } if (cancel != null && cancel.isCancel()) return total; } // write record data if (useRecordDimension) { int[] origin = new int[]{0}; int[] size = new int[]{1}; int nrecs = (int) recordVar.getSize(); int sdataSize = recordVar.getElementSize(); Variable recordVarNew = varMap.get(recordVar); double totalRecordBytes = 0; for (int count = 0; count < nrecs; count++) { origin[0] = count; try { Array recordData = recordVar.read(origin, size); writer.write(recordVarNew, origin, recordData); // rather magic here - only writes the ones in ncfile !! if (debug && (count == 0)) System.out.println("write record size = " + sdataSize); } catch (InvalidRangeException e) { e.printStackTrace(); break; } totalRecordBytes += sdataSize; if (cancel != null && cancel.isCancel()) return total; } total += totalRecordBytes; totalRecordBytes /= 1000 * 1000; if (debug) System.out.println("write record var; total = " + totalRecordBytes + " Mbytes # recs=" + nrecs); } return total; } // copy all the data in oldVar to the newVar void copyAll(Variable oldVar, Variable newVar) throws IOException { Array data = oldVar.read(); try { if (!version.isNetdf4format() && oldVar.getDataType() == DataType.STRING) { data = convertToChar(newVar, data); } if (data.getSize() > 0) // zero when record dimension = 0 writer.write(newVar, data); } catch (InvalidRangeException e) { e.printStackTrace(); throw new IOException(e.getMessage() + " for Variable " + oldVar.getFullName()); } } /** * Copies data from {@code oldVar} to {@code newVar}. The writes are done in a series of chunks no larger than * {@code maxChunkSize} bytes. * * @param oldVar a variable from the original file to copy data from. * @param newVar a variable from the original file to copy data from. * @param maxChunkSize the size, in bytes, of the largest chunk to write. * @param cancel allow user to cancel, may be null. * @throws IOException if an I/O error occurs. */ private void copySome(Variable oldVar, Variable newVar, long maxChunkSize, CancelTask cancel) throws IOException { long maxChunkElems = maxChunkSize / oldVar.getElementSize(); long byteWriteTotal = 0; ChunkingIndex index = new ChunkingIndex(oldVar.getShape()); while (index.currentElement() < index.getSize()) { try { int[] chunkOrigin = index.getCurrentCounter(); int[] chunkShape = index.computeChunkShape(maxChunkElems); if (cancel != null) cancel.setProgress("Reading chunk "+new Section(chunkOrigin, chunkShape)+" from variable: " + oldVar.getShortName(), -1); /* writeProgressEvent.setWriteStatus("Reading chunk from variable: " + oldVar.getShortName()); if (progressListeners != null) { for (FileWriterProgressListener listener : progressListeners) { listener.writeProgress(writeProgressEvent); } } */ Array data = oldVar.read(chunkOrigin, chunkShape); if (!version.isNetdf4format() && oldVar.getDataType() == DataType.STRING) { data = convertToChar(newVar, data); } if (data.getSize() > 0) {// zero when record dimension = 0 if (cancel != null) cancel.setProgress("Writing chunk "+new Section(chunkOrigin, chunkShape)+" from variable: " + oldVar.getShortName(), -1); writer.write(newVar, chunkOrigin, data); if (debugWrite) System.out.println(" write " + data.getSize() + " bytes at " + new Section(chunkOrigin, chunkShape)); byteWriteTotal += data.getSize(); } index.setCurrentCounter(index.currentElement() + (int) Index.computeSize(chunkShape)); if (cancel != null && cancel.isCancel()) return; } catch (InvalidRangeException e) { e.printStackTrace(); throw new IOException(e.getMessage()); } } } private Array convertToChar(Variable newVar, Array oldData) { ArrayChar newData = (ArrayChar) Array.factory(DataType.CHAR, newVar.getShape()); Index ima = newData.getIndex(); IndexIterator ii = oldData.getIndexIterator(); while (ii.hasNext()) { String s = (String) ii.getObjectNext(); int[] c = ii.getCurrentCounter(); for (int i = 0; i < c.length; i++) ima.setDim(i, c[i]); newData.setString(ima, s); } return newData; } /* private boolean hasRecordStructure(NetcdfFile file) { Variable v = file.findVariable("record"); return (v != null) && (v.getDataType() == DataType.STRUCTURE); } */ /////////////////////////////////////////////////////////////////////////////////////////////////////////// // contributed by [email protected] 4/12/2010 /** * An index that computes chunk shapes. It is intended to be used to compute the origins and shapes for a series * of contiguous writes to a multidimensional array. * It writes the first n elements (n < maxChunkElems), then the next, etc. */ public static class ChunkingIndex extends Index { public ChunkingIndex(int[] shape) { super(shape); } /** * Computes the shape of the largest possible contiguous chunk, starting at {@link #getCurrentCounter()} * and with {@code numElems <= maxChunkElems}. * * @param maxChunkElems the maximum number of elements in the chunk shape. The actual element count of the shape * returned is likely to be different, and can be found with {@link Index#computeSize}. * @return the shape of the largest possible contiguous chunk. */ public int[] computeChunkShape(long maxChunkElems) { int[] chunkShape = new int[rank]; for (int iDim = 0; iDim < rank; ++iDim) { int size = (int) (maxChunkElems / stride[iDim]); size = (size == 0) ? 1 : size; size = Math.min(size, shape[iDim] - current[iDim]); chunkShape[iDim] = size; } return chunkShape; } } //////////////////////////////////////////////////////////////////////////////////////////////////////// private static void usage() { System.out.println("usage: ucar.nc2.FileWriter2 -in -out [-netcdf4]"); } /** * Better to use ucar.nc.dataset.NetcdfDataset main program instead. *

ucar.nc2.FileWriter -in fileIn -out fileOut. *

where:

    *
  • fileIn : path of any CDM readable file *
  • fileOut: local pathname where netdf-3 file will be written * * * @param arg -in fileIn -out fileOut [-netcdf4] * @throws IOException on read or write error */ public static void main(String arg[]) throws IOException { if (arg.length < 4) { usage(); System.exit(0); } String datasetIn = null, datasetOut = null; NetcdfFileWriter.Version version = NetcdfFileWriter.Version.netcdf3; for (int i = 0; i < arg.length; i++) { String s = arg[i]; if (s.equalsIgnoreCase("-in")) datasetIn = arg[i + 1]; if (s.equalsIgnoreCase("-out")) datasetOut = arg[i + 1]; if (s.equalsIgnoreCase("-netcdf4")) version = NetcdfFileWriter.Version.netcdf4; } if ((datasetIn == null) || (datasetOut == null)) { usage(); System.exit(0); } System.out.printf("FileWriter2 copy %s to %s ", datasetIn, datasetOut); CancelTaskImpl cancel = new CancelTaskImpl(); NetcdfFile ncfileIn = ucar.nc2.NetcdfFile.open(datasetIn, cancel); if (cancel.isCancel()) return; FileWriter2 writer2 = new FileWriter2(ncfileIn, datasetOut, version, null); // currently only the default chunker NetcdfFile ncfileOut = writer2.write(cancel); if (ncfileOut != null) ncfileOut.close(); ncfileIn.close(); System.out.printf("%s%n", cancel); } // Q:/cdmUnitTest/formats/netcdf4/tst/tst_groups.nc }




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