binaryfiles

I'm trying to figure out the best way to read a packed binary file in Go that was produced by Python like the following: import struct f = open('tst.bin', 'wb') fmt = 'iih' #please note this is packed binary: 4byte int, 4byte int, 2byte int f.write(struct.pack(fmt,4, 185765, 1020)) f.write(struct.pack(fmt,4, 185765, 1022)) f.close() I have been tinkering with some of the examples I've seen on Github.com and a few other sources but I can't seem to get anything working correctly (update shows working method). What is the idiomatic way to do this sort of thing in Go? This is one of several

I have this SQLite table: create table mytable ( aid INTEGER NOT NULL PRIMARY KEY, bid INTEGER NOT NULL, image BLOB ); And I want to insert a binary file into the image field in this table. Is it possible to do it from the sqlite3 command line interface? If so, how? I'm using Ubuntu. Thank you! You may use a syntax like : echo "insert into mytable values(1,1, \"`cat image`\")" | sqlite3 yourDb i'm not sure for the " around blob's value. Note the backquotes around cat command, means the cat command will be executed before the echo. [EDIT] Blob are stored as hexa digit with "X" prefix. You can

Say, if I want to store PDFs or ePub files using MongoDB's GridFS, is it possible to perform full-text searching on the data files? You can't currently do real full text search within mongo: http://www.mongodb.org/display/DOCS/Full+Text+Search+in+Mongo Feel free to vote for it here: https://jira.mongodb.org/browse/SERVER-380 Mongo is more of a general purpose scalable data store, and as of yet it doesn't have any full text search support. Depending on your use case, you could use the standard b-tree indexes with an array of all of the words in the text, but it won't do stemming or fuzzy

I am a beginner and I am having trouble in grasping binary files. When I write to a file in binary mode (in python), I just write normal text. There is nothing binary about it. I know every file on my computer is a binary file but I am having trouble distinguishing between files written in binary mode by me and files like audio, video etc files that show up as gibberish if I open them in a text editor. How are files that show up as gibberish created? Can you please give an example of a small file that is created like this, preferably in python? I have a feeling I am asking a really stupid

What is the cleanest way to parse binary data in clojure? I need to be able to read/write equally cleanly to a file or a socket. something like: (read-data source-of-data) => { :index 42 , :block-size 4 , data-size: 31415, :data (1 2 3 4 ...)} and the reverse for putting data back. It would be really great to somehow define the structure once and have the read and write functions use the same definition. Gloss makes it easy to define binary formats at the byte level for both reading and writing. (defcodec example-codec [:id :uint32 :msg-type (enum :byte {:a \A, :b \B}) :status (string :ascii

So lets say I have the following values: HEADER01 48 45 41 44 45 52 30 31 06/17/14 30 36 2F 31 37 2F 31 34 1.0 31 2E 30 0x0000 00 0x0027 27 0x0001 01 0x0001 01 0x0001 01 0x0001 01 0x0028 28 192 C0 168 A8 1 01 1 01 The first 3 values are STRINGS, should be converted to ASCII HEX values, then written in the .bin file The next 7 values are HEX, should be written AS-IS in the .bin file The last 4 values are INTEGERS, should be converted to HEX, then written in the .bin file OUTPUT (.bin) file should look something like this: 00000000 48 45 41 44 45 52 30 31 30 36 2F 31 37 2F 31 34 00000010 31 2E

The spark python api currently has limited support for loading large binary data files, and so I tried to get numpy.fromfile to help me out. I first got a list of filenames I'd like to load, e.g.: In [9] filenames Out[9]: ['A0000.dat', 'A0001.dat', 'A0002.dat', 'A0003.dat', 'A0004.dat'] I can load these files without problems with a crude iterative unionization, for i in range(len(filenames)): rdd = sc.parallelize([np.fromfile(filenames[i], dtype="int16", count=-1, sep='')]) if i==0: allRdd = rdd; else: allRdd = allRdd.union(rdd); It would be great to load the files all at once, and into

Please show me the best/fast methods for: 1) Loading very small binary files into memory. For example icons; 2) Loading/reading very big binary files of size 512Mb+. 3) Your common choice when you do not want to think about size/speed but must do only thing: read all bytes into memory? Thank you!!! P.S. Sorry for maybe trivial question. Please do not close it;) P.S.2. Mirror of analog question for Java; 1: For very small files File.ReadAllBytes will be fine. 2: For very big files and using .net 4.0 , you can make use MemoryMapped Files. 3: If Not using .net 4.0 than , reading chunks of data