delimiter

data <- read.delim("C:\\test.txt", header = FALSE, sep = "$$$$$") Error in scan(file, what = "", sep = sep, quote = quote, nlines = 1, quiet = TRUE, : invalid 'sep' value: must be one byte Why there is a restriction like this? Can I overcome it? Here is a potential solution. Assuming this is what the lines in your file look like 1$$$$$2$$$$$3$$$$$4 The following will create a matrix with the variables stored as characters. do.call(rbind,strsplit(readLines('test.txt'),'$$$$$',fixed=T)) 来源： https://stackoverflow.com/questions/2732397/why-the-field-separator-character-must-be-only-one-byte

Terribly new to spark and hive and big data and scala and all. I'm trying to write a simple function that takes an sqlContext, loads a csv file from s3 and returns a DataFrame. The problem is that this particular csv uses the ^A (i.e. \001) character as the delimiter and the dataset is huge so I can't just do a "s/\001/,/g" on it. Besides, the fields might contain commas or other characters I might use as a delimiter. I know that the spark-csv package that I'm using has a delimiter option, but I don't know how to set it so that it will read \001 as one character and not something like an

I need to be able to delimit a stream of binary data. I was thinking of using something like the ASCII EOT (End of Transmission) character to do this. However I'm a bit concerned -- how can I know for sure that the particular binary sequence used for this (0b00000100) won't appear in my own binary sequences, thus giving a false positive on delimitation? In other words, how is binary delimiting best handled? EDIT: ...Without using a length header. Sorry guys, should have mentioned this before. Usually, you wrap your binary data in a well known format, for example with a fixed header that

I've had a look for answers, but have only found things referring to C or C#. I realise that much of R is written in C but my knowledge of it is non-existent. I am also relatively new to R. I am using the current Rstudio. This is similar to what I want, I think. Read the data efficiently with multiple separating lines in R I have a csv file but one variable is a string with values separated by _ and - And I would like to know if there is a package or extra code which does the following on the read. command. "1","Client1","Name2","*Name3_Name1_KB_MobApp_M-13-44_AU_PI Likes by KB_ANDROID","2013

My file looks like this abc ||| xyz ||| foo bar hello world ||| spam ham jam ||| blah blah I want to extract a specific column, e.g. I could have done: sed 's/\s|||\s/\\t/g' file | cut -f1 But is there other way of doing that? Since | is a valid regex expression, it need to be escaped \\| or put in square brackets [|] You can do this: awk -F' \\|\\|\\| ' '{print $1}' file Some other variation that work as well awk -F' [|][|][|] ' '{print "$1"}' file awk -F' [|]{3} ' '{print "$1"}' file awk -F' \\|{3} ' '{print "$1"}' file awk -F' \\|+ ' '{print "$1"}' file awk -F' [|]+ ' '{print "$1"}' file \

The following code raises a KeyError exception: addr_list_formatted = [] addr_list_idx = 0 for addr in addr_list: # addr_list is a list addr_list_idx = addr_list_idx + 1 addr_list_formatted.append(""" "{0}" { "gamedir" "str" "address" "{1}" } """.format(addr_list_idx, addr)) Why? I am using Python 3.1. Lasse Vågsæther Karlsen The problem is those { and } characters you have there that don't specify a key for formatting. You need to double them up, so change your code to: addr_list_formatted.append(""" "{0}" {{ "gamedir" "str" "address" "{1}" }} """.format(addr_list_idx, addr)) 来源： https:/

MySQL has a nice CSV import function LOAD DATA INFILE . I have a large dataset that needs to be imported from CSV on a regular basis, so this feature is exactly what I need. I've got a working script that imports my data perfectly. .....except.... I don't know in advance what the end-of-line terminator will be. My SQL code currently looks something like this: LOAD DATA INFILE '{fileName}' INTO TABLE {importTable} FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n' IGNORE 1 LINES ( {fieldList} ); This works great for some import files. However, the import data is coming