Skip to content

Commit c033600

Browse files
committed
fix suspended hyphenated modifiers
1 parent b10fb39 commit c033600

File tree

2 files changed

+4
-4
lines changed

2 files changed

+4
-4
lines changed

articles/storage/blobs/blobfuse2-how-to-deploy.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -134,7 +134,7 @@ BlobFuse2 provides native-like performance by using local file-caching technique
134134

135135
#### Configure caching for streaming large files
136136

137-
BlobFuse2 supports read- and write-streaming as an alternative to disk caching for files. In streaming mode, BlobFuse2 caches blocks of large files in memory for both reading and writing. The configuration settings related to caching for streaming are under the `stream:` settings in your configuration file as follows:
137+
BlobFuse2 supports streaming for both read and write operations as an alternative to disk caching for files. In streaming mode, BlobFuse2 caches blocks of large files in memory for both reading and writing. The configuration settings related to caching for streaming are under the `stream:` settings in your configuration file as follows:
138138

139139
```yml
140140
stream:

articles/storage/blobs/blobfuse2-what-is.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -120,11 +120,11 @@ However, there are some key differences in the way BlobFuse2 behaves:
120120

121121
- **Write-streaming**:
122122

123-
Concurrent read- and write-streaming of large file data can produce unpredictable results. Simultaneously writing to the same blob from different threads is not supported.
123+
Concurrent streaming of read and write operations on large file data can produce unpredictable results. Simultaneously writing to the same blob from different threads is not supported.
124124

125125
### Data integrity
126126

127-
The file caching behavior plays an important role in the integrity of the data being read and written to a Blob Storage file system mount. Streaming mode is recommended for use with large files, which supports both read- and write-streaming. BlobFuse2 caches blocks of streaming files in memory. For smaller files that do not consist of blocks, the entire file is stored in memory. File cache is the second mode and is recommended for workloads that do not contain large files. Where files are stored on disk in their entirety.
127+
The file caching behavior plays an important role in the integrity of the data being read and written to a Blob Storage file system mount. Streaming mode is recommended for use with large files, which supports streaming for both read and write operations. BlobFuse2 caches blocks of streaming files in memory. For smaller files that do not consist of blocks, the entire file is stored in memory. File cache is the second mode and is recommended for workloads that do not contain large files. Where files are stored on disk in their entirety.
128128

129129
BlobFuse2 supports both read and write operations. Continuous synchronization of data written to storage by using other APIs or other mounts of BlobFuse2 isn't guaranteed. For data integrity, it's recommended that multiple sources don't modify the same blob, especially at the same time. If one or more applications attempt to write to the same file simultaneously, the results could be unexpected. Depending on the timing of multiple write operations and the freshness of the cache for each, the result could be that the last writer wins and previous writes are lost, or generally that the updated file isn't in the desired state.
130130

@@ -134,7 +134,7 @@ When a file is written to, the data is first persisted into cache on a local dis
134134

135135
#### Streaming
136136

137-
For both read- and write-streaming, blocks of data are cached in memory as they are read or updated. Updates are flushed to Azure Storage when a file is closed or when the buffer is filled with dirty blocks.
137+
For streaming during both read and write operations, blocks of data are cached in memory as they are read or updated. Updates are flushed to Azure Storage when a file is closed or when the buffer is filled with dirty blocks.
138138

139139
Reading the same blob from multiple simultaneous threads is supported. However, simultaneous write operations could result in unexpected file data outcomes, including data loss. Performing simultaneous read operations and a single write operation is supported, but the data being read from some threads might not be current.
140140

0 commit comments

Comments
 (0)