Download file in chunks java

Key, queue. ToArray ; outPutStream. Write bytes, 0, bytes. GetBlockBlobReference "code. Combine AppDomain. Stop ; Console. GetFieldHeaders ; while csv. Write string. Create a new csv file if the current total bytes up to MB, then save the current record to the current CSV file.

CsvReader sr, new CsvHelper. Flush ; writer. Bruce Chen Bruce Chen Tried this. And it "breaks" the record on the last line of the file and continues on the next file. This should not be the case. As you described, split your blob file into fixed size, it would must break your records.

I am trying to use this solution but getting network error. Probably reason is implementation of writeBinaryBody method that is missing from this solution. Can you please edit and complete this solution to write a file in chunk?

Amir Afghani Amir Afghani Jayan Jayan 17k 13 13 gold badges 83 83 silver badges bronze badges. Use a RandomAccessFile. This has already been covered on SO I believe. Community Bot 1 1 1 silver badge.

KyleM KyleM 4, 7 7 gold badges 42 42 silver badges 77 77 bronze badges. This is totally unnecessary. You don't need to do any of that. I think the question is asking about the client side not the server side, by the way. Robin I guess the OP will decide that, but I may have misunderstood the question.

Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. RohitMalish Maybe the TCP connection is closed to early by the server and so not all data is transferred. Try socket. Hope it helps — yohlulz. Add a comment. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name.

Email Required, but never shown. The Overflow Blog. A conversation about how to enable high-velocity DevOps culture at your Podcast An oral history of Stack Overflow — told by its founding team. Featured on Meta. If your files are prohibitively large and you have potentially lots of users accessing them at the same time then cache them on a medium that supports streamed access e.

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