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NGINX: upstream timed out (110: Connection timed out) while reading response header from upstream
...tream takes too much to answer the request and NGINX thinks the upstream already failed in processing the request, so it responds with an error.
Just include and increase proxy_read_timeout in location config block.
Same thing happened to me and I used 1 hour timeout for an internal app at work:
pr...
How to read a line from the console in C?
What is the simplest way to read a full line in a C console program
The text entered might have a variable length and we can't make any assumption about its content.
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How do you run a command for each line of a file?
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Read a file line by line and execute commands: 4 answers
This is because there is not only 1 answer...
shell command line expansion
xargs dedicated tool
while read with some remarks
while read -u using dedicated fd, for in...
Get last n lines of a file, similar to tail
...yte > 0:
if (block_end_byte - BLOCK_SIZE > 0):
# read the last block we haven't yet read
f.seek(block_number*BLOCK_SIZE, 2)
blocks.append(f.read(BLOCK_SIZE))
else:
# file too small, start from begining
f.seek(0,0)
...
Adding gif image in an ImageView in android
...cted byte[] pixels;
protected Vector<GifFrame> frames; // frames read from current file
protected int frameCount;
private static class GifFrame {
public GifFrame(Bitmap im, int del) {
image = im;
delay = del;
}
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File to byte[] in Java
..., don't reinvent the wheel and use Apache Commons. Which is here FileUtils.readFileToByteArray(File input).
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UnicodeDecodeError when reading CSV file in Pandas with Python
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read_csv takes an encoding option to deal with files in different formats. I mostly use read_csv('file', encoding = "ISO-8859-1"), or alternatively encoding = "utf-8" for reading, and generally utf-8 for to_csv.
You can also...
How to read a .xlsx file using the pandas Library in iPython?
I want to read a .xlsx file using the Pandas Library of python and port the data to a postgreSQL table.
6 Answers
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Import multiple csv files into pandas and concatenate into one DataFrame
I would like to read several csv files from a directory into pandas and concatenate them into one big DataFrame. I have not been able to figure it out though. Here is what I have so far:
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How to find current transaction level?
... CASE transaction_isolation_level
WHEN 0 THEN 'Unspecified'
WHEN 1 THEN 'ReadUncommitted'
WHEN 2 THEN 'ReadCommitted'
WHEN 3 THEN 'Repeatable'
WHEN 4 THEN 'Serializable'
WHEN 5 THEN 'Snapshot' END AS TRANSACTION_ISOLATION_LEVEL
FROM sys.dm_exec_sessions
where session_id = @@SPID
docs.micro...