The new features are briefly described below, but first a few words regarding the compatibility solutions.
Compatibility Issues and Solutions
When new features and optimizations are introduced, as is certainly the case in this release, there is always the risk of creating compatibility problems. These problems can arise either with an application that must be ported to the new release (or cannot be ported, for any of a number of reasons), with applications based on a prior release that must read files created by the new release, or with files created by an older release that must work with an application based on the new release. The HDF5 team has made a concerted effort to provide a full range of compatibility solutions, hopefully addressing all of the situations a user or application is likely to encounter.
New Features in HDF5 Release 1.8.0 and Backward/Forward Format Compatibility Issues discusses the new features in the release from the point of view of their impact on format comaptibility.
New features are briefly described in this section. Further, instructional example codes for several of these features are provided here:
Object Format Control
- Select format limits by setting library version bounds
Tunable properties enable the creation of files selectively compatible with older HDF5 applications and libraries. This feature enables the library, and thus an application, to create files that can be read by specific older HDF5 libraries and tools and by applications that those same use libraries.
This is accomplished with the function H5Pset_libver_bounds, which sets the lower and upper bounds on allowable formats. The lower bound is determined by specifying the earliest library whose format may be used for an object; the upper bound is determined by specifying the latest library whose format may be used for an objects.
The function H5Pget_libver_bounds can be used to retrieve the current settings.
Groups and Links
- Configurable Compact-or-Indexed Link Storage
Compact small groups and more scalable large groups
For groups with only a few links, compact link storage allows groups containing only a few links to take up much less space in the file.
On the other hand, an improved implementation of indexed link storage provides a faster and more scalable method for storing and working with large groups containing many links.
The threshold for switching between the compact and indexed storage formats is configurable according an application’s or a user community’s expected use cases using the function H5Pset_link_phase_change.
The function H5Pget_link_phase_change can be used to retrieve the current settings.
- External Links
Links in a group that link to objects in a different HDF5 file
External links allow a group to include objects in another HDF5 file and enable the library to access those objects as if they are in the current file. In this manner, a group may appear to directly contain datasets, named datatypes, and even groups that are actually in a different file. This feature is implemented via a suite of functions that create and manage the links, define and retrieve paths to external objects, and interpret link names:H5Lcreate_external
- User-defined Links
Customized link types
The user-defined link feature enables the definition of customized types of links that meet specific community or application needs. This feature is implemented via a suite of functions that define, create, register and unregister the link types:H5Lcreate_ud
- Link Creation Order
Tracking, indexing, and iterating over links in groups by creation order
Links in a group can now be explicitly tracked and definitively indexed by the order in which they are created, enabling systematic iteration and lookup of links by creation order. This complements the already-existing alphanumeric-by-name capability.H5Pset_link_creation_order
- Dedicated Link Interface
A Link API (H5L) for directly managing links
New link APIs enables greater flexibility in the creation and management of links in an HDF5 file. The H5L routines allow links to be managed and manipulated more like objects in the HDF5 data model and provide detailed control of linking behavior.H5L: Link interface
Attribute and Metadata Enhancements
- Enhanced Attribute Handling
Faster access and more compact storage
The Attribute interface (H5A) includes several new functions for attribute management. When large numbers of attributes are attached to a single object, new functionality enables faster access and allows those attributes to be stored in much less space in the file.For new attribute management functions:
- Creation Order in Attributes
Attributes can now be tracked and indexed on the order in which they are created, enabling iteration and lookup of attributes by creation order as well as alphanumeric order by name.H5Pset_attr_creation_order
- Shared Object Header Messages (SOHM)
To conserve space in an HDF5 file, large header messages that are used repeatedly in the file can be designated as shared.
A shared object header message (SOHM) is written only once in a file then a pointer is inserted instead of the message itself on each object to which the header message would otherwise be attached. This can be particularly valuable when, for instance, an identical attribute is applied to tens of thousands of objects. (Note that there is will be no advantage if the attribute itself is smaller than the pointer would be.)
This feature is implemented via a suite of functions that set up SOHM tracking and indexing and manage the thresholds for switching between shared and non-shared messages:H5Pset_shared_mesg_nindexes
- UTF-8 Unicode Encoding
UTF-8 Unicode encoding is supported for strings in datasets, the names of links, and the names of attributes.
- Metadata Caching
Metadata caching enhancements boost performance with certain types of files and enable configurable metadata cache management and monitoring.
A suite of functions is provided to set and review the metadata cache configurations, to review and reset hit rate statistics, and to retrieve the current cache size:H5Fget_mdc_config
See “Metadata Caching in HDF5” in the HDF5 User’s Guide for further information.
Improved Object Handling
- Create Intermediate Groups
Rather than having to step through a hierarchy creating groups one at a time, intermediate groups that do not yet exist can now be created when creating or copying an object in a file.
See Creating Missing Groups (PDF) for further information.
- Object Copying
Copying an HDF5 object to a new location within a file or in a different file
With this feature, an object in an HDF5 file can easily be copied to a new location within the current file or to a specified location in another HDF5 file. This is accomplised at a low-level in the HDF5 file, allowing entire group hierarchies to be copied quickly and compressed datasets to be copied without going through a decompression/compression cycle.
A suite of functions is provided to manage copy properties and o perform the copying operation:H5Ocopy
A command-line tool, h5copy is also provided to enable copying objects without having to create an application.
- Improved Object Information Retrieval
Three new functions have been added to enhance the object information that can be retrieved.H5Lget_info retrieves information regarding a link.
H5Oget_info retrieves information regarding an object.
H5Gget_info retrieves information regarding a group.
In each case, the function returns object information in a customized struct. For example, H5Lget_info returns the link type while H5Gget_info returns the number of links in the group.
- Anonymous Object Creation
Anonymous object creation enables the creation and management of objects in a file independently of the links that integrate those objects into the file structure.H5Dcreate_anon
The above routines are used in conjunction with the Link and Object interfaces discussed elsewhere (H5L and H5O, repectively).H5L: Link interface
H5O: Object interface
- Dedicated Object Interface
An Object API (H5O) for managing general objects
A new object API enables greater flexibility in the creation and linking of objects in an HDF5 file.H5O: Object interface
- User-defined Datatype Conversion Callback Functions
- User-defined Datatype Conversion Callback Functions: Revised Datatype Conversion Exception Handling – It is now possible for an application to have greater control over exceptional circumstances (range errors, etc.) during datatype conversion.
- Integer-to-Floating-point Conversion Support
- Integer-to-Floating-point Conversion Support – It is now possible for the HDF5 library to convert between integer and floating-point datatypes.
See H5Tconvert in the HDF5 Reference Manual.
- Datatype and Dataspace Serial Conversion
- Datatype and Dataspace Serial Conversion – Routines have been implemented to serialize/deserialize HDF5 datatypes and dataspaces. These routines allow datatype and dataspace information to be transmitted between processes or stored in non-HDF5 files.
- Two-way Conversion Between Datatype and Text Description of Datatype
- Two-way Conversion Between Datatype and Text Description of Datatype – This feature enables the creation of a datatype from a text definition of that datatype and the creation of a formal text definition from a datatype. The text definition is in DDL format; DDL definitions of HDF5 datatypes can be found in the “DDL in BNF for HDF5.”
H5LTtext_to_dtype creates an HDF5 data type based on the text description and returns the data type identifier. Given a datatype identifier, H5LTdtype_to_text creates a DDL description of the datatype.
Also see “Conversion Between Text and Datatype.”
Enhancements in the I/O Pipeline
- New Compression Filters
- New Compression Filters – These new I/O filters allow better compression of certain types of data:
o N-Bit Filter – This filter compresses data which uses N-bit datatypes. See H5Pset_nbit in the HDF5 Reference Manual and the section “Using Filters / N-bit” in the “Datasets” chapter of the HDF5 User’s Guide.
o Scale+Offset Filter – This filter compresses scalar (integer and floating-point) datatypes which stay within a range. See H5Pset_scaleoffset in the HDF5 Reference Manual and the section “Using Filters / Scale-Offset” in the “Datasets” chapter of the HDF5 User’s Guide.
- Collective Chunk I/O in Parallel
- Collective Chunk I/O in Parallel – The library now attempts to use MPI collective mode when performing I/O on chunked datasets when using the parallel I/O file driver.
- Arithmetic Data Transform on I/O
- Arithmetic Data Transform on I/O – This feature allows arithmetic operations (add/subtract/multiply/divide) to be performed on data elements as they are being written to/read from a file. See H5Pset_data_transform in the HDF5 Reference Manual.
High-level Interfaces and Fortran and C++ Wrappers
- C++ Wrapper Improvements
- C++ API Wrapper Improvements – Several improvements were made to the C++ build infrastructure, as well as adding support for previously missing and new API routines.
- Fortran Wrapper Improvements
- FORTRAN API Wrapper Improvements – Several improvements were made to the FORTRAN build infrastructure, as well as adding support for previously missing and new API routines.
- New Packet Table and Dimension Scale High-Level APIs
- New Packet Table and Dimension Scale High-Level APIs have been added to the high-level C interfaces.
The Packet Table API (H5PT) is designed to allow variable-length records to be added to tables easily.
The Dimension Scale API (H5DS) allows dimension scales to be created in HDF5 and attached to HDF5 datasets. Also see “HDF5 Dimension Scale Specification and Design Notes” (PDF).
- High-Level Fortran APIs
New and Improved Tools
- Tool Improvements – Three new tools have been added, and existing tools were enhanced:
o h5mkgrp is a new command-line tool that creates a new group in an HDF5 file.
o h5stat (PDF) enables the analysis of an HDF5 file in various ways to determine useful statistics regarding the objects in the file, such as the numbers of objects per group, the sizes of datasets, the amount of free space in the file, etc.
o h5copy makes a complete copy of an object in an HDF5 file as a new object in that HDF5 file or as a new object in a different HDF5 file.
o Improved speed of h5dump – Performance improvements have been made to h5dump to speed it up when dealing with files that have large numbers of objects.
- NULL Dataspace
- “NULL” Dataspace – A new type of dataspace, which allows datasets and attributes without any elements to be described.
See H5Screate in the HDF5 Reference Manual.
- Extendible Identifier API
- Extendible Identifier API – A new set of identifier management routines has been added, which allow an application to use the HDF5 identifier-to-object mapping routines.
- Enhanced Error Handling
- Enhanced Error Handling – A new set of error API routines has been added, which allow an application to integrate its error reporting with the HDF5 library error stack.
In the HDF5 Reference Manual, see the error stack APIs. Also see the supporting document “Unified Error Reporting for HDF5 and Client Libraries.”
- Better UNIX/Linux Portability
- Better UNIX/Linux Portability – This release now uses the latest GNU “auto” tools (autoconf, automake, and libtool) to provide much better portability between many machine and OS configurations. Building the HDF5 distribution can now be performed in parallel (with the gmake “–j” flag), speeding up the process of building, testing and installing the HDF5 distribution. Many other improvements have gone into the build infrastructure as well.