speed issue: gsub on large data frame
Thanks everybody! Now I understand the need for more details: the patterns for the gsubs are of different kinds.First, I have character strings, I need to replace. Therefore, I have around 5000 stock ticker symbols (e.g. c(?AAPL?, ?EBAY?,?) distributed across 10 vectors. Second, I have four vectors with regular expressions, all similar to this on: replace_url <- c(?https?://.*\\s|www.*\\s?) The text strings I perform the gsub commands on, look like this (no string is longer than 200 characters): 'GOOGL announced new partnership www.url.com. Stock price is up +5%? After performing several gsubs in a row, like gsub(replace_url, ?[url]?,dataframe$text_column) gsub(replace_ticker_sp500, ?[sp500_ticker]?,dataframe$text_column) etc. this string will look like this: '[sp500_ticker] announced new partnership [url]. Stock price is up [positive_percentage]? The dataset contains 4 million entries. The code works, but I I cancelled the process after 1 day (my whole system was blocked while R was running). Performing the code on a smaller chunck of data (1 million) took about 12hrs. As far as I can say, replacing the ticker symbols takes the longest, while the regular expressions went quite fast Thanks! Am 05.11.2013 um 11:31 schrieb Prof Brian Ripley <ripley at stats.ox.ac.uk>:
But note too what the help says:
Performance considerations:
If you are doing a lot of regular expression matching, including
on very long strings, you will want to consider the options used.
Generally PCRE will be faster than the default regular expression
engine, and ?fixed = TRUE? faster still (especially when each
pattern is matched only a few times).
(and there is more). I don't see perl=TRUE here.
On 05/11/2013 09:06, Jim Holtman wrote:
what is missing is any idea of what the 'patterns' are that you are searching for. Regular expressions are very sensitive to how you specify the pattern. you indicated that you have up to 500 elements in the pattern, so what does it look like? alternation and backtracking can be very expensive. so a lot more specificity is required. there are whole books written on how pattern matching works and what is hard and what is easy. this is true for wherever regular expressions are used, not just in R. also some idea of what the timing is; are you talking about 1-10-100 seconds/minutes/hours. Sent from my iPad On Nov 5, 2013, at 3:13, Simon Pickert <simon.pickert at t-online.de> wrote:
How?s that not reproducible? 1. Data frame, one column with text strings 2. Size of data frame= 4million observations 3. A bunch of gsubs in a row ( gsub(patternvector, ?[token]?,dataframe$text_column) ) 4. General question: How to speed up string operations on ?large' data sets? Please let me know what more information you need in order to reproduce this example? It?s more a general type of question, while I think the description above gives you a specific picture of what I?m doing right now. General question: Am 05.11.2013 um 06:59 schrieb Jeff Newmiller <jdnewmil at dcn.davis.CA.us>:
Example not reproducible. Communication fail. Please refer to Posting Guide.
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Simon Pickert <simon.pickert at t-online.de> wrote:
Hi R?lers, I?m running into speeding issues, performing a bunch of ?gsub(patternvector, [token],dataframe$text_column)" on a data frame containing >4millionentries. (The ?patternvectors? contain up to 500 elements) Is there any better/faster way than performing like 20 gsub commands in a row? Thanks! Simon
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
-- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.