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Hi Lak: This behavior is controlled by the singleton class ucar.nc2.util.DiskCache. See the javadocs for that: http://www.unidata.ucar.edu/software/netcdf-java/v4.0/javadoc/index.html An overview is at: http://www.unidata.ucar.edu/software/netcdf-java/tutorial/NetcdfFile.html#DiskCache see embedded comments below: Valliappa Lakshmanan wrote: > I've been using the Java Netcdf API and am running into several issues > with the temporary files that are created. > > For example, when a gzipped NetCDF file is read, an uncompressed > version is written to disk before it is read. I assume that this is > because the NetCDF API allows for file seeks etc. > which wouldn't be possible if the file remained gzipped. But (and this > is the problem), the uncompressed > file is stored in the SAME directory as the original file. This causes > three major problems (in increasing order > of severity): > (a) The data directory (which would be considered read-only) is being > modified. This causes problems because of the I/O optimizations that we do > on real-time systems you can make all temp files go to a different directory. > (b) The temporary file is not automatically cleaned up, so these > temporaries start to fill up the disk. see overview for example on how to cleanup. > But removing the temporary file when the original file is closed > is not enough because of problem (c). > (c) if there are two simultaneous programs reading a gzipped file, > then a potential for race conditions exists yes, this is a good point. the default case is optimized for single-threaded use. The TDS uses a different strategy for this reason. Do you actually see this problem? If so, in what context? > > The same problem seems to exist when reading a Grib1 file (a .gbx > temporary file is created). > > Is there any work-around for this problem? > > Lak > > p.s. I suggest the consistent use of java.io.File's createTempFile() ... That might be a useful option. Do you actually need it, or is this theoretical? The default case is to avoid the overhead of unzipping/indexing more than once. > > > ------------------------------------------------------------------------ > > _______________________________________________ > netcdfgroup mailing list > netcdfgroup@xxxxxxxxxxxxxxxx > For list information or to unsubscribe, visit: > http://www.unidata.ucar.edu/mailing_lists/
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