Skip to main content

High-performance tools for reading data from text files. Includes tail, reverse-seek, and concurrent readers.

## Overview

MT File Utils provides a simple API for common I/O tasks on text files.

• Tail: performs like the linux ‘tail’ command.

• Reverse Seek: Starting at the end of a file, returns all the lines until a specific target is found

• Reader: High-performance API for reading lines from a text file. Most useful when you need fast concurrent access to very large data sets that don’t fit in memory. Supports multithreaded access, random or sequential reads.

## Compatibility

MT File Utils has been tested in cpython (2.7) and jython (2.5).

## Use

For each example below, assume a file named ‘data.txt’ with one number per line:

1
2
3
...
9999

### tail

Functions like the standard unix tail command. (“follow” or “-f” not supported.) Pass in the file name, and the max number of lines you want returned:

>>> from mtfileutil.reverse import tail
>>> tail('data.txt', 5)
['9995', '9996', '9997', '9998', '9999']

### reverse_seek

Searches backward from the end of a file for target text. Returns a list of each line between the end of the file and the target:

>>> from mtfileutil.reverse import reverseSeek
>>> reverseSeek('data.txt', '994')
'994' found after searching back 6 lines.
['9994', '9995', '9996', '9997', '9998', '9999']

You can specify how far back to seek. The default limit is 3000 lines:

>>> from mtfileutil.reverse import reverseSeek
>>> reverseSeek('data.txt', 'loot')
'loot' not found in final 3000 lines of data.txt
>>> reverseSeek('data.txt', '9993', max=5)
'9993' not found in final 5 lines of data.txt
[]
>>> reverseSeek('data.txt', '9993', max=10)
'9993' found after searching back 7 lines.
['9993', '9994', '9995', '9996', '9997', '9998', '9999']

### read random

The random reader selects a random line from a given text file every time it is invoked.

CAUTION: The random nature of these reads typically defeats the page caching strategies used by your OS, so for large text files that don’t fit entirely in memory, it’s easy to saturate your disk I/O capacity with this reader.

The typical pattern is to start a reader by assigning it a text file to read and a queue name to use, use the reader as desired, then stop the reader:

>>> from mtfileutil import reader
>>> reader.startRandomReader('data.txt', 'rand_queue')
Initializing random line queues[rand_queue](100)
Initializing random line reader thread (data.txt)
Data reader thread starting against file 'data.txt', size 48887
Populating random queue
>>> reader.getRandomLine('rand_queue')
'7276'
>>> reader.getRandomLine('rand_queue')
'8452'
>>> reader.getRandomLine('rand_queue')
'640'
>>> reader.stopRandomReader('rand_queue')
Data reader received signal to end

### read sequential

For large files that don’t fit in memory, this is much friendlier on your disk I/O because the data can be read and used in entire blocks. Makes a “best effort” to remember (bookmark) your location between reads, that will typically be off by the maximum queue size. For text files with many millions of lines this is probably not a big deal, but may be a consideration when using repeatedly with smaller files.

As with the random reader, the typical pattern is to start a reader, use the reader, then stop the reader. The bookmark is not saved until you stop the reader, so this step is required if you want the reader to bookmark its location between runs:

>>> from mtfileutil import reader
>>> reader.startSequentialReader('./data.txt', 'seq_queue')
Initializing sequential line queue[seq_queue](100)
Initializing sequential line reader thread[seq_queue] (./data.txt)
Data reader thread starting against file './data.txt', size 48887
Reading data file './data.txt' from 0
>>> reader.getNextLine('seq_queue')
'1'
>>> reader.getNextLine('seq_queue')
'2'
>>> reader.getNextLine('seq_queue')
'3'
>>> reader.stopSequentialReader('seq_queue')
Data reader received signal to end
Writing seek position 312 to temp file ./data.txt.seek
Sequential data reader thread ending normally

Subsequent invocations will remember the approximate location of the last line you read. A subsequent python shell might look like this:

>>> from mtfileutil import reader
>>> reader.startSequentialReader('./data.txt', 'seq_queue')
Initializing sequential line queue[seq_queue](100)
Initializing sequential line reader thread[seq_queue] (./data.txt)
Data reader thread starting against file './data.txt', size 48887
>>> Reading data file './data.txt' from 312
>>> reader.getNextLine('seq_queue')
'106'
>>> reader.getNextLine('seq_queue')
'107'
>>> reader.getNextLine('seq_queue')
'108'
>>> reader.stopSequentialReader('seq_queue')
Data reader received signal to end
Waiting for sequential line reader 'seq_queue' to end
Writing seek position 732 to temp file ./data.txt.seek
Sequential data reader thread ending normally

As you can see, the bookmarked location is about 100 lines ahead of the last line read. The amount of variance depends on the size of the read-ahead queue, which is sized at 100 by default.

If you want to start reading the file from the beginning each time, the bookmark feature can be disabled.:

>>> from mtfileutil import reader
>>> reader.startSequentialReader('./data.txt', 'seq_queue', start_at_last_read_location=False)
Initializing sequential line queue[seq_queue](100)
Initializing sequential line reader thread[seq_queue] (./data.txt)
Data reader thread starting against file './data.txt', size 48887
Reading data file './data.txt' from 0
>>> reader.getNextLine('seq_queue')
'1'

## Examples

Example scripts are included in the package:

• mtfu_read_random_example.py

• mtfu_read_sequential_multithread_example.py

• mtfu_read_sequential_singlethread_example.py

• mtfu_reverse_seek_example.py

• mtfu_tail_example.py

## Source

Source code and additional detail available here: https://bitbucket.org/travis_bear/file_util

Patches accepted.

## Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

### Source Distribution

mtFileUtil-0.6.0.tar.gz (42.3 kB view hashes)

Uploaded source