From 799b9f57bd9a1dde099837bf27807fcadae5b35e Mon Sep 17 00:00:00 2001 From: Keith Ma Date: Sun, 23 Feb 2020 15:51:58 -0500 Subject: [PATCH] feat: use matlab native hdf5 Drop h5repack dependency in favor of MATLAB's native HDF5 utilities. This change also yields a bug performance improvement for large files (a critical use case). --- README.md | 9 ++-- VERSION | 2 +- docs/newmatic_demo.html | 26 +++++---- logo.png | Bin 0 -> 63482 bytes logo.xcf | Bin 0 -> 309251 bytes newmatic.m | 115 +++++++++++++++++++++++----------------- 6 files changed, 85 insertions(+), 67 deletions(-) create mode 100644 logo.png create mode 100644 logo.xcf diff --git a/README.md b/README.md index 3c442a4..5096304 100644 --- a/README.md +++ b/README.md @@ -32,10 +32,6 @@ Additional notes: + `newmatic` only allocates arrays. If you want to include other data types (strings, cell arrays, whatever), you can add them to the file created by `newmatic` in the usual way. -+ This initial version of `newmatic` depends on the system CLI - [h5repack](https://support.hdfgroup.org/HDF5/doc/RM/Tools.html#Tools-Repack), - a future update will drop this dependency in favor of the native MATLAB hdf5 - interface. ## Example Usage @@ -56,3 +52,8 @@ mat = newmatic(... mat.z = {'a', 'cell', 'array'}; ``` + +## References + +Special shout out to the [hdf5storage](https://github.com/frejanordsiek/hdf5storage) python package for +helping me work out the details of making a MATLAB-compatible HDF5 file. diff --git a/VERSION b/VERSION index 6e8bf73..0ea3a94 100644 --- a/VERSION +++ b/VERSION @@ -1 +1 @@ -0.1.0 +0.2.0 diff --git a/docs/newmatic_demo.html b/docs/newmatic_demo.html index 8b356df..c203f68 100644 --- a/docs/newmatic_demo.html +++ b/docs/newmatic_demo.html @@ -92,8 +92,8 @@ % get the file size native_complete_file_size = dir(native_complete_file).bytes/1024/1024; -
Native-complete, write: 3.334 s
-Native-complete, read: 0.728 s
+
Native-complete, write: 3.264 s
+Native-complete, read: 0.716 s
 

Partial read/write with native MATLAB tools

Now let's try using native MATLAB matfile() to do read and write the data one image at a time (i.e., partial IO). This is the real use case we are interested in.

% get a temporary file name
 native_partial_file = [tempname, '.mat'];
 native_partial_cleanup = onCleanup(@() delete(native_partial_file));
@@ -124,8 +124,8 @@
 
 % get the file size
 native_partial_file_size = dir(native_partial_file).bytes/1024/1024;
-
Native-partial, write: 52.339 s
-Native-partial, read: 4.126 s
+
Native-partial, write: 52.359 s
+Native-partial, read: 3.698 s
 

Partial read/write with newmatic

Now for the good stuff. Let's use newmatic to create our file, and then read and write the data one image at a time. We will choose a chunk size that neatly matches our planned access pattern (i.e, an image).

% get a temporary file name
 newmatic_partial_file = [tempname, '.mat'];
 newmatic_partial_cleanup = onCleanup(@() delete(newmatic_partial_file));
@@ -153,9 +153,8 @@
 
 % get the file size
 newmatic_partial_file_size = dir(newmatic_partial_file).bytes/1024/1024;
-
h5repack -i /tmp/tp03fd088e_f895_4664_81d7_9d2275dd7f72.mat -o /tmp/tpf6e2a598_4fd5_430c_8baf_c2a1aac9cb0e.mat -l images:CHUNK=1x1000x2000
-Newmatic-partial, write: 2.888 s
-Newmatic-partial, read: 0.158 s
+
Newmatic-partial, write: 2.987 s
+Newmatic-partial, read: 0.153 s
 

Complete read/write with newmatic

To round out the comparison, let's read/write whole variables using newmatic

% get a temporary file name
 newmatic_complete_file = [tempname, '.mat'];
 newmatic_complete_cleanup = onCleanup(@() delete(newmatic_complete_file));
@@ -179,9 +178,8 @@
 
 % get the file size
 newmatic_complete_file_size = dir(newmatic_complete_file).bytes/1024/1024;
-
h5repack -i /tmp/tp1713a51c_f6d8_4f4c_8639_fca9af5e6594.mat -o /tmp/tp9943cc43_35e2_4cb4_aa30_a39d7a1c3386.mat -l images:CHUNK=1x1000x2000
-Newmatic-complete, write: 3.151 s
-Newmatic-complete, read: 0.709 s
+
Newmatic-complete, write: 3.183 s
+Newmatic-complete, read: 0.715 s
 

Comparison

To make the comparison a bit easier, check out the tabulated results below:

results = table(...
     round([native_complete_write_time; newmatic_complete_write_time; native_partial_write_time; newmatic_partial_write_time], 2), ...
     round([native_complete_read_time; newmatic_complete_read_time; native_partial_read_time; newmatic_partial_read_time], 2), ...
@@ -193,10 +191,10 @@
 
                         write-time-seconds    read-time-seconds    file-size-MB
                          __________________    _________________    ____________
 
-    native-complete             3.33                 0.73               95.53   
-    newmatic-complete           3.15                 0.71               95.53   
-    native-partial             52.34                 4.13              116.33   
-    newmatic-partial            2.89                 0.16               95.82   
+    native-complete             3.26                 0.72               95.53   
+    newmatic-complete           3.18                 0.72               95.53   
+    native-partial             52.36                  3.7              116.33   
+    newmatic-partial            2.99                 0.15                95.4   
 
 
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z2S-HpxxIw5TeI$B%1s^J|~)d5}$=8{|mFp_MHF# literal 0 HcmV?d00001 diff --git a/newmatic.m b/newmatic.m index 13d0eda..cffcabc 100644 --- a/newmatic.m +++ b/newmatic.m @@ -1,10 +1,10 @@ -function mat = newmatic(path, varargin) -% function mat = newmatic(path, varargin) +function mat = newmatic(out_file, varargin) +% function mat = newmatic(out_file, varargin) % % Create new MAT-file with allocated arrays and specified chunking % % Arguments: -% path: path to the output file to create, will fail if file exists +% out_file: path to the output file to create, will fail if file exists % varargin: one or more variable definition structs, as created by % newmatic_variable(), see help for that function for more details % @@ -13,57 +13,80 @@ % % % sanity checks -validateattributes(path, {'char'}, {'nonempty'}); -assert(~isfile(path), 'newmatic:OverwriteError', 'Output file exists!'); - -mat = matfile(path, 'Writable', true); +validateattributes(out_file, {'char'}, {'nonempty'}); +assert(~isfile(out_file), 'newmatic:OverwriteError', 'Output file exists!'); +% filename for reference .mat, deleted on function exit +ref_file = [tempname, '.mat']; +ref_file_cleanup = onCleanup(@() delete(ref_file)); +ref_mat = matfile(ref_file, 'Writable', true); for ii = 1:length(varargin) var = varargin{ii}; - allocate(mat, var.name, var.type, var.size); - + allocate(ref_mat, var.name, var.type, var.size); end +delete(ref_mat); -h5repack(mat, varargin); % TODO: replace with native version when ready +% get file property lists from reference +ref_fid = H5F.open(ref_file, 'H5F_ACC_RDONLY', 'H5P_DEFAULT'); +ref_fcpl = H5F.get_create_plist(ref_fid); +% create new file (fail if exists) +out_fcpl = H5P.copy(ref_fcpl); +out_fid = H5F.create(out_file, 'H5F_ACC_EXCL', out_fcpl, 'H5P_DEFAULT'); -function h5repack(file_obj, vars) -% Apply specified chunking using external utility h5repack -% -% note: requires h5repack be installed on system -% -% Arguments: -% file_obj: matfile object -% vars: one or more variable definition structs, as created by -% newmatic_variable(), see help for that function for more details -% % -path = file_obj.Properties.Source; - -chunk_args = {}; -for ii = 1:length(vars) - var = vars{ii}; +% copy over datasets (a.k.a., variables), applying chunking as needed +for ii = 1:length(varargin) + var = varargin{ii}; + + ref_ds_id = H5D.open(ref_fid, var.name); + + out_ds_cpl = H5P.copy(H5D.get_create_plist(ref_ds_id)); if ~isempty(var.chunks) - chunks = var.chunks(end:-1:1); % variable dimensions are inverted in HDF file by MATLAB - chunk_args{end+1} = sprintf('-l %s:CHUNK=%s', var.name, strjoin(string(chunks), 'x')); %#ok! + H5P.set_chunk(out_ds_cpl, flip(var.chunks)) end + + out_ds_id = H5D.create(... + out_fid, ... + var.name, ... + H5D.get_type(ref_ds_id), ... + H5D.get_space(ref_ds_id), ... + out_ds_cpl); + + % note: assume that only this one attribute exists (cribbed from manual inspection of files + % created by matfile function) + ref_attr_id = H5A.open(ref_ds_id, 'MATLAB_class'); + + out_attr_id = H5A.create(... + out_ds_id, ... + 'MATLAB_class', ... + H5A.get_type(ref_attr_id), ... + H5A.get_space(ref_attr_id), ... + 'H5P_DEFAULT'); + H5A.write(out_attr_id, 'H5ML_DEFAULT', H5A.read(ref_attr_id)); + + H5A.close(ref_attr_id); + H5A.close(out_attr_id); + + H5D.close(ref_ds_id); + H5D.close(out_ds_id); + end -if ~isempty(chunk_args) +H5F.close(ref_fid); +H5F.close(out_fid); - temp_file = [tempname, '.mat']; - - args = [{'h5repack', '-i', path, '-o', temp_file}, chunk_args]; - cmd = strjoin(args, ' '); - fprintf('%s\n', cmd); - - status = system(cmd); - assert(status == 0, 'Failed to update chunks with h5repack system utility'); +% copy over the userblock +% read userblock from reference +% note: the userblock is a binary header prefixed to the file, and is opaque to the HDF5 +% library. It is also essential for MATLAB to believe us that this is a valid MAT file. +ref_userblock = H5P.get_userblock(ref_fcpl); +ref_map = memmapfile(ref_file); +out_map = memmapfile(out_file, 'Writable', true); +out_map.Data(1:ref_userblock) = ref_map.Data(1:ref_userblock); + +mat = matfile(out_file, 'Writable', true); - status = movefile(temp_file, path); - assert(status == 1, 'Failed to overwrite original file'); -end - function allocate(file_obj, var_name, data_type, dimensions) % function allocate(file_obj, var_name, data_type, dimensions) @@ -76,6 +99,7 @@ function allocate(file_obj, var_name, data_type, dimensions) % var_name: string, name of variable to allocate in matfile % dimensions: 1D array, size of variable to allocate % % +if isempty(dimensions); dimensions = [1, 1]; end switch data_type @@ -99,11 +123,6 @@ function allocate(file_obj, var_name, data_type, dimensions) error('Bad value for data_type: %s', data_type); end -if ~isempty(dimensions) - file_obj.(var_name) = empty(zeros(size(dimensions))); - dimensions = num2cell(dimensions); - file_obj.(var_name)(dimensions{:}) = last; -else - % handle unspecified size by creating an empty array of the correct type - file_obj.(var_name) = empty(); -end +file_obj.(var_name) = empty(zeros(size(dimensions))); +dimensions = num2cell(dimensions); +file_obj.(var_name)(dimensions{:}) = last;