rust_hdf5/swmr.rs
1//! Single Writer / Multiple Reader (SWMR) API.
2//!
3//! Provides a high-level wrapper around the SWMR protocol for streaming
4//! frame-based data (e.g., area detector images).
5
6use std::path::Path;
7
8use crate::io::locking::FileLocking;
9use crate::io::Hdf5Reader;
10use crate::io::SwmrWriter as IoSwmrWriter;
11
12use crate::error::Result;
13use crate::types::H5Type;
14
15/// SWMR writer for streaming frame-based data to an HDF5 file.
16///
17/// Usage:
18/// ```no_run
19/// use rust_hdf5::swmr::SwmrFileWriter;
20///
21/// let mut writer = SwmrFileWriter::create("stream.h5").unwrap();
22/// let ds = writer.create_streaming_dataset::<f32>("frames", &[256, 256]).unwrap();
23/// writer.start_swmr().unwrap();
24///
25/// // Write frames
26/// let frame_data = vec![0.0f32; 256 * 256];
27/// let raw: Vec<u8> = frame_data.iter()
28/// .flat_map(|v| v.to_le_bytes())
29/// .collect();
30/// writer.append_frame(ds, &raw).unwrap();
31/// writer.flush().unwrap();
32///
33/// writer.close().unwrap();
34/// ```
35pub struct SwmrFileWriter {
36 inner: IoSwmrWriter,
37}
38
39impl SwmrFileWriter {
40 /// Create a new HDF5 file for SWMR streaming using the env-var-derived
41 /// locking policy.
42 pub fn create<P: AsRef<Path>>(path: P) -> Result<Self> {
43 let inner = IoSwmrWriter::create(path.as_ref())?;
44 Ok(Self { inner })
45 }
46
47 /// Create a new HDF5 file for SWMR streaming with an explicit locking
48 /// policy. The writer holds an exclusive lock until [`Self::start_swmr`]
49 /// is called, at which point the lock is downgraded to shared so
50 /// concurrent SWMR readers can attach.
51 pub fn create_with_locking<P: AsRef<Path>>(path: P, locking: FileLocking) -> Result<Self> {
52 let inner = IoSwmrWriter::create_with_locking(path.as_ref(), locking)?;
53 Ok(Self { inner })
54 }
55
56 /// Create a streaming dataset.
57 ///
58 /// The dataset will have shape `[0, frame_dims...]` initially, with
59 /// chunk dimensions `[1, frame_dims...]` and unlimited first dimension.
60 ///
61 /// Returns the dataset index for use with `append_frame`.
62 pub fn create_streaming_dataset<T: H5Type>(
63 &mut self,
64 name: &str,
65 frame_dims: &[u64],
66 ) -> Result<usize> {
67 let datatype = T::hdf5_type();
68 let idx = self
69 .inner
70 .create_streaming_dataset(name, datatype, frame_dims)?;
71 Ok(idx)
72 }
73
74 /// Create a streaming dataset whose frames are compressed.
75 ///
76 /// Like [`create_streaming_dataset`](Self::create_streaming_dataset) but
77 /// each appended frame is run through `pipeline` (e.g.
78 /// `FilterPipeline::deflate(4)`). SWMR appends and in-place header
79 /// updates work the same as for uncompressed streaming datasets.
80 pub fn create_streaming_dataset_compressed<T: H5Type>(
81 &mut self,
82 name: &str,
83 frame_dims: &[u64],
84 pipeline: crate::format::messages::filter::FilterPipeline,
85 ) -> Result<usize> {
86 let idx = self.inner.create_streaming_dataset_compressed(
87 name,
88 T::hdf5_type(),
89 frame_dims,
90 pipeline,
91 )?;
92 Ok(idx)
93 }
94
95 /// Signal the start of SWMR mode.
96 pub fn start_swmr(&mut self) -> Result<()> {
97 self.inner.start_swmr()?;
98 Ok(())
99 }
100
101 /// Append a frame of raw data to a streaming dataset.
102 ///
103 /// The data size must match one frame (product of frame_dims * element_size).
104 pub fn append_frame(&mut self, ds_index: usize, data: &[u8]) -> Result<()> {
105 self.inner.append_frame(ds_index, data)?;
106 Ok(())
107 }
108
109 /// Flush all dataset index structures to disk with SWMR ordering.
110 pub fn flush(&mut self) -> Result<()> {
111 self.inner.flush()?;
112 Ok(())
113 }
114
115 /// Close and finalize the file.
116 pub fn close(self) -> Result<()> {
117 self.inner.close()?;
118 Ok(())
119 }
120}
121
122/// SWMR reader for monitoring a streaming HDF5 file.
123///
124/// Opens a file being written by a concurrent [`SwmrFileWriter`] and
125/// periodically calls [`refresh`](Self::refresh) to pick up new data.
126///
127/// ```no_run
128/// use rust_hdf5::swmr::SwmrFileReader;
129///
130/// let mut reader = SwmrFileReader::open("stream.h5").unwrap();
131///
132/// loop {
133/// reader.refresh().unwrap();
134/// let names = reader.dataset_names();
135/// if let Some(shape) = reader.dataset_shape("frames").ok() {
136/// println!("frames shape: {:?}", shape);
137/// if shape[0] > 0 {
138/// let data = reader.read_dataset_raw("frames").unwrap();
139/// println!("got {} bytes", data.len());
140/// break;
141/// }
142/// }
143/// std::thread::sleep(std::time::Duration::from_millis(100));
144/// }
145/// ```
146pub struct SwmrFileReader {
147 reader: Hdf5Reader,
148}
149
150impl SwmrFileReader {
151 /// Open an HDF5 file for SWMR reading using the env-var-derived
152 /// locking policy. Takes a shared lock so it coexists with the
153 /// downgraded shared lock held by [`SwmrFileWriter`] after
154 /// `start_swmr`, and with other concurrent SWMR readers.
155 pub fn open<P: AsRef<Path>>(path: P) -> Result<Self> {
156 let reader = Hdf5Reader::open_swmr(path.as_ref())?;
157 Ok(Self { reader })
158 }
159
160 /// Open an HDF5 file for SWMR reading with an explicit locking policy.
161 pub fn open_with_locking<P: AsRef<Path>>(path: P, locking: FileLocking) -> Result<Self> {
162 let reader = Hdf5Reader::open_swmr_with_locking(path.as_ref(), locking)?;
163 Ok(Self { reader })
164 }
165
166 /// Re-read the superblock and dataset metadata from disk.
167 ///
168 /// Call this periodically to pick up new data written by the concurrent
169 /// SWMR writer.
170 pub fn refresh(&mut self) -> Result<()> {
171 self.reader.refresh()?;
172 Ok(())
173 }
174
175 /// Return the names of all datasets.
176 pub fn dataset_names(&self) -> Vec<String> {
177 self.reader
178 .dataset_names()
179 .iter()
180 .map(|s| s.to_string())
181 .collect()
182 }
183
184 /// Return the current shape of a dataset.
185 pub fn dataset_shape(&self, name: &str) -> Result<Vec<u64>> {
186 Ok(self.reader.dataset_shape(name)?)
187 }
188
189 /// Read the raw bytes of a dataset.
190 pub fn read_dataset_raw(&mut self, name: &str) -> Result<Vec<u8>> {
191 Ok(self.reader.read_dataset_raw(name)?)
192 }
193
194 /// Read a dataset as a typed vector.
195 pub fn read_dataset<T: H5Type>(&mut self, name: &str) -> Result<Vec<T>> {
196 let raw = self.reader.read_dataset_raw(name)?;
197 if raw.len() % T::element_size() != 0 {
198 return Err(crate::error::Hdf5Error::TypeMismatch(format!(
199 "raw data size {} is not a multiple of element size {}",
200 raw.len(),
201 T::element_size(),
202 )));
203 }
204 let count = raw.len() / T::element_size();
205 let mut result = Vec::<T>::with_capacity(count);
206 unsafe {
207 std::ptr::copy_nonoverlapping(raw.as_ptr(), result.as_mut_ptr() as *mut u8, raw.len());
208 result.set_len(count);
209 }
210 Ok(result)
211 }
212}