d67b8c47ea
If the user is opening a existing file for appending (NC_WRITE) in parallel and the file is in CDF5 format, the `NC_interpret_magic_number()` routine clears the `model->impl` setting of `NC_FORMATX_PNETCDF` which was set in `NC_omodeinfer` (See lines following the `done:` label in that routine which specifically set the `impl` if `useparallel` is true.) This setting then gets overwritten when `NC_interpret_magic_number` is called which sets the `model->impl` back to `NC_FORMATX_NC3`. This can (did) cause problems with parallel output as the `NC3` format does not correctly handle parallel writing but the `PNETCDF` does. Not sure if this is the best place for the test, but it did fix the parallel write issues I was seeing... If you need more details on what is happening, let me know. But a restatement at a higher level is that I was calling `nc_open_par` with `NC_WRITE` and `NC_64BIT_DATA` mode and the existing file has `CDF5` for the magic number. However, the dispatcher was being set to `NC3_dispatch_table` instead of `NCP_dispatch_table` which is the dispatcher which had been chosen for the original creation of the file being appended to. I was then getting zeroes in the data being written to the vars since NC3 wasn't correctly handling multiple MPI ranks writing to different parts of the same variable... |
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| include | ||
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| config.h.cmake.in | ||
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| configure.ac | ||
| COPYRIGHT | ||
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| FixBundle.cmake.in | ||
| INSTALL.md | ||
| lib_flags.am | ||
| libnetcdf.settings.in | ||
| Makefile.am | ||
| mclean | ||
| nc-config.cmake.in | ||
| nc-config.in | ||
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| netCDFConfig.cmake.in | ||
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Unidata NetCDF
About
The Unidata network Common Data Form (netCDF) is an interface for scientific data access and a freely-distributed software library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The current netCDF software provides C interfaces for applications and data. Separate software distributions available from Unidata provide Java, Fortran, Python, and C++ interfaces. They have been tested on various common platforms.
Properties
NetCDF files are self-describing, network-transparent, directly
accessible, and extendible. Self-describing means that a netCDF file
includes information about the data it contains. Network-transparent
means that a netCDF file is represented in a form that can be accessed
by computers with different ways of storing integers, characters, and
floating-point numbers. Direct-access means that a small subset of a
large dataset may be accessed efficiently, without first reading through
all the preceding data. Extendible means that data can be appended to
a netCDF dataset without copying it or redefining its structure.
Use
NetCDF is useful for supporting access to diverse kinds of scientific data in heterogeneous networking environments and for writing application software that does not depend on application-specific formats. For information about a variety of analysis and display packages that have been developed to analyze and display data in netCDF form, see
More information
For more information about netCDF, see
Latest releases
You can obtain a copy of the latest released version of netCDF software for various languages:
Copyright
Copyright and licensing information can be found here, as well as in the COPYRIGHT file accompanying the software
Installation
To install the netCDF-C software, please see the file INSTALL in the netCDF-C distribution, or the (usually more up-to-date) document:
Documentation
A language-independent User's Guide for netCDF, and some other language-specific user-level documents are available from:
- Language-independent User's Guide
- NetCDF-C Tutorial
- Fortran-90 User's Guide
- Fortran-77 User's Guide
- netCDF-Java/Common Data Model library
- netCDF4-python
A mailing list, netcdfgroup@unidata.ucar.edu, exists for discussion of the netCDF interface and announcements about netCDF bugs, fixes, and enhancements. For information about how to subscribe, see the URL
Feedback
We appreciate feedback from users of this package. Please send comments, suggestions, and bug reports to support-netcdf@unidata.ucar.edu.