I can see there are a number of posts regarding reuse InputStream. I understand InputStream is a one-time thing and cannot be reused. 
However, I have a use case like this:
I have downloaded the file from DropBox by obtaining the DropBoxInputStream using the DropBox's Java SDK. I then need to upload the file to another system by passing the InputStream. However, as part of the download, I have to provide the MD5 of the file. So I have to read the file from the stream before uploading the file. Because the DropBoxInputStream I received can only be used once, I have to get another DropBoxInputStream after I have calculated the MD5 and before uploading the file. The procedure is like:
- Get first DropBoxInputStream
- Read from the DropBoxInputStream and calculate MD5
- Get the second DropBoxInputStream
- Upload file using the MD5 and the second DropBoxInputStream.
I am thinking that, if there are many way for me to "cache" or "backup" the InputStream before I calculate the MD5 so that I can save step 3 of obtaining the same DropBoxInputStream again?
Many thanks
EDIT:
Sorry I missed some information.
What I am currently doing is that I use a MD5DigestOutputStream to calculate MD5. I stream data across the  MD5DigestOutputStream and save them locally as a temp file. Once the data goes through the MD5DigestOutputStream, it will calculate the MD5. 
I then call a third party library to upload the file using the calculated md5 and a FileInputStream which reads from the temp file.
However, this requires huge disk space sometime and I want to remove the needs to use temp file. The library I use only accepts a MD5 and InputStream. This means I have to calculate the MD5 on my end. My plan is to use my MD5DigestOutputStream to write data to /dev/null (not keeping the file) so that I can calculate theMD5, and get the InputStream from DropBox again and pass that to the library I use. I assume the library will be able to get the file directly from DropBox without the need for me to cache the file either in the memory of at the disk. Will it work?
 
     
     
     
    