我在Java(JDO)中的Google App Engine上構建了一些東西。我用Deflater以編程方式壓縮大字節[],然後將壓縮字節[]存儲在blobstore中。這個偉大的工程:在Google App Engine上解壓Java中的大塊blob
public class Functions {
public static byte[] compress(byte[] input) throws UnsupportedEncodingException, IOException, MessagingException
{
Deflater df = new Deflater(); //this function mainly generate the byte code
df.setLevel(Deflater.BEST_COMPRESSION);
df.setInput(input);
ByteArrayOutputStream baos = new ByteArrayOutputStream(input.length); //we write the generated byte code in this array
df.finish();
byte[] buff = new byte[1024]; //segment segment pop....segment set 1024
while(!df.finished())
{
int count = df.deflate(buff); //returns the generated code... index
baos.write(buff, 0, count); //write 4m 0 to count
}
baos.close();
int baosLength = baos.toByteArray().length;
int inputLength = input.length;
//System.out.println("Original: "+inputLength);
// System.out.println("Compressed: "+ baosLength);
return baos.toByteArray();
}
public static byte[] decompress(byte[] input) throws UnsupportedEncodingException, IOException, DataFormatException
{
Inflater decompressor = new Inflater();
decompressor.setInput(input);
// Create an expandable byte array to hold the decompressed data
ByteArrayOutputStream bos = new ByteArrayOutputStream(input.length);
// Decompress the data
byte[] buf = new byte[1024];
while (!decompressor.finished()) {
try {
int count = decompressor.inflate(buf);
bos.write(buf, 0, count);
} catch (DataFormatException e) {
}
}
try {
bos.close();
} catch (IOException e) {
}
// Get the decompressed data
byte[] decompressedData = bos.toByteArray();
return decompressedData;
}
public static BlobKey putInBlobStore(String contentType, byte[] filebytes) throws IOException {
// Get a file service
FileService fileService = FileServiceFactory.getFileService();
AppEngineFile file = fileService.createNewBlobFile(contentType);
// Open a channel to write to it
boolean lock = true;
FileWriteChannel writeChannel = fileService.openWriteChannel(file, lock);
// This time we write to the channel using standard Java
BufferedInputStream in = new BufferedInputStream(new ByteArrayInputStream(filebytes));
byte[] buffer;
int defaultBufferSize = 524288;
if(filebytes.length > defaultBufferSize){
buffer = new byte[defaultBufferSize]; // 0.5 MB buffers
}
else{
buffer = new byte[filebytes.length]; // buffer the size of the data
}
int read;
while((read = in.read(buffer)) > 0){ //-1 means EndOfStream
System.out.println(read);
if(read < defaultBufferSize){
buffer = new byte[read];
}
ByteBuffer bb = ByteBuffer.wrap(buffer);
writeChannel.write(bb);
}
writeChannel.closeFinally();
return fileService.getBlobKey(file);
}
}
使用靜態壓縮()和putInBlobStore()函數在我的函數類的,我可以壓縮並存儲一個byte []像這樣:
BlobKey dataBlobKey = Functions.putInBlobStore("MULTIPART_FORM_DATA", Functions.compress(orginalDataByteArray));
非常甜蜜。我真的在挖GAE。
但現在,問題:
我存儲壓縮的HTML我想檢索和解壓的飛行在JSP頁面中的iframe中顯示哪些。壓縮很快,但減壓需要永遠!即使壓縮的HTML是15k,有時解壓縮也會死掉。
這裏是我的減壓方法:
URL file = new URL("/blobserve?key=" + htmlBlobKey);
URLConnection conn = file.openConnection();
conn.setReadTimeout(30000);
conn.setConnectTimeout(30000);
InputStream inputStream = conn.getInputStream();
byte[] data = IOUtils.toByteArray(inputStream);
return new String(Functions.decompress(data));
就如何最好地採取壓縮HTML從Blob存儲,解壓縮和顯示它有什麼想法?即使我需要將它傳遞給任務隊列並在顯示進度條時輪詢完成,那也沒關係。我真的不在乎,只要它是有效的,並最終運作。感謝您在這裏與我分享的任何指導。
感謝您的幫助。
是延遲肯定是在減壓?你有沒有檢查輸出壓縮的檢索數據,看看它是否同樣緩慢? –
你爲什麼從自己那裏獲取blob?爲什麼不使用blob讀取API? –
另外,爲什麼您將數據存儲在blobstore中進行壓縮,給定了額外的延遲時間呢? –