|
|
Sponsored Content
Top Forums
UNIX for Dummies Questions & Answers
sed and awk for long lines
Post 302919743 by uxusr on Friday 3rd of October 2014 12:26:08 PM
10-03-2014
|
|
10 More Discussions You Might Find Interesting
1. Shell Programming and Scripting
Goodmorning,
I have MKS Toolkit (K-Shell) running on a windows server. On it I have a c program that in a true unix environment works fine, but here it adds an extra '0000000000000016000A' in various places in the file that the c program produces that I need to remove.
Here is what the file... (3 Replies)
Discussion started by: philplasma
3 Replies
2. Shell Programming and Scripting
Hey All,
I need to reorganize a file's text. Here is the source:
host John_Doe
filename "config.cfg";
hardware ethernet 98:10:3d:13:8f:98;
fixed-address 10.10.10.29;
}
host Jane_Doe
filename "config.cfg";
hardware ethernet 98:13:11:fd:5a:57;
fixed-address 10.10.5.24;
}
host... (2 Replies)
Discussion started by: TheBigAmbulance
2 Replies
3. Shell Programming and Scripting
Input:
>abc|123456|def|EXIT|
>abc|203456|def|EXIT2|
>abc|234056|def|EXIT3|
>abc|340056|def|EXIT4|
>abc|456000|def|EXIT5|
.
.
.
Output:
def|EXIT|
def|EXIT2|
def|EXIT3|
def|EXIT4|
def|EXIT5|
.
.
My try code: (9 Replies)
Discussion started by: patrick87
9 Replies
4. Shell Programming and Scripting
I want to get an output from the input as below:
Input:
ASDDS14 RXOTX-39-8 AB0991C TRY1900
AEDFS12 RXOTX-39-9 TK0991C TRY800
HSVDS11 RXOTX-389-10 LG0991C TRY1900
BSDDS09 RXOTX-394-0 AA0066A TRY800
OUTPUT:
ASDDS14 RXOTS-39-8-0 AB0991C TRY1900... (2 Replies)
Discussion started by: aydj
2 Replies
5. Shell Programming and Scripting
Hi guys,
I need to remove the pattern (ID=180), one line before and four lines after.
Thanks. (5 Replies)
Discussion started by: ashimada
5 Replies
6. Shell Programming and Scripting
I have a awk script called test.awk which I run using
awk -f test.awk file1.txt > file2.txt
I am doing a long print statement and want to put it in separate lines
Do I need a '/' at the end or not?????
Should it be like this
print... (12 Replies)
Discussion started by: kristinu
12 Replies
7. Shell Programming and Scripting
Hello,
I'm trying to figure out how to use sed or awk to delete single lines in a file. By single, I mean lines that are not touching any other lines (just one line with white space above and below).
Example:
one
two
three
four
five
six
seven
eight
I want it to look like: (6 Replies)
Discussion started by: slimjbe
6 Replies
8. Shell Programming and Scripting
Hi friends,
This is sed & awk type question.
I have a text file which has numbers spread all over the file. I want to sum the series of numbers whenever i find it and produce an output file with the sum. For example
###start of input text file ####
abc
def
ghi
1
2
3
4
kjld
random... (3 Replies)
Discussion started by: kaaliakahn
3 Replies
9. Shell Programming and Scripting
Experts,
Can you please help how to get the output that are written just below "bad"
calls badcalls nullrecv
439486 54 0
badlen xdrcall dupchecks ... (6 Replies)
Discussion started by: rveri
6 Replies
10. Shell Programming and Scripting
Hi,
I have text file that looks like this:
blabla
bla
PATTERN
LINE1
LINE2
bla
bla
bla
PATTERN
LINE1
LINE2
bla
PATTERN
LINE1
LINE2
bla (9 Replies)
Discussion started by: hench
9 Replies
LEARN ABOUT OPENDARWIN
funidx
funidx(7) SAORD Documentation funidx(7) NAME
Funidx - Using Indexes to Filter Rows in a Table SYNOPSIS
This document contains a summary of the user interface for filtering rows in binary tables with indexes. DESCRIPTION
Funtools Table Filtering allows rows in a table to be selected based on the values of one or more columns in the row. Because the actual filter code is compiled on the fly, it is very efficient. However, for very large files (hundreds of Mb or larger), evaluating the filter expression on each row can take a long time. Therefore, funtools supports index files for columns, which are used automatically during fil- tering to reduce dramatically the number of row evaluations performed. The speed increase for indexed filtering can be an order of magni- tude or more, depending on the size of the file. The funindex program creates an index on one or more columns in a binary table. For example, to create an index for the column pi in the file huge.fits, use: funindex huge.fits pi This will create an index named huge_pi.idx. When a filter expression is initialized for row evaluation, funtools looks for an index file for each column in the filter expression. If found, and if the file modification date of the index file is later than that of the data file, then the index will be used to reduce the number of rows that are evaluated in the filter. When Spatial Region Filtering is part of the expression, the columns associated with the region are checked for index files. If an index file is not available for a given column, then in general, all rows must be checked when that column is part of a filter expression. This is not true, however, when a non-indexed column is part of an AND expression. In this case, only the rows that pass the other part of the AND expression need to be checked. Thus, in some cases, filtering speed can increase significantly even if all columns are not indexed. Also note that certain types of filter expression syntax cannot make use of indices. For example, calling functions with column names as arguments implies that all rows must be checked against the function value. Once again, however, if this function is part of an AND expres- sion, then a significant improvement in speed still is possible if the other part of the AND expression is indexed. For example, note below the dramatic speedup in searching a 1 Gb file using an AND filter, even when one of the columns (pha) has no index: time fundisp huge.fits'[idx_activate=0,idx_debug=1,pha=2348&&cir 4000 4000 1]' "x y pha" x y pha ---------- ----------- ---------- 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 42.36u 13.07s 6:42.89 13.7% time fundisp huge.fits'[idx_activate=1,idx_debug=1,pha=2348&&cir 4000 4000 1]' "x y pha" x y pha ---------- ----------- ---------- idxeq: [INDEF] idxand sort: x[ROW 8037025:8070128] y[ROW 5757665:5792352] idxand(1): INDEF [IDX_OR_SORT] idxall(1): [IDX_OR_SORT] 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 3999.48 4000.47 2348 1.55u 0.37s 1:19.80 2.4% When all columns are indexed, the increase in speed can be even more dramatic: time fundisp huge.fits'[idx_activate=0,idx_debug=1,pi=770&&cir 4000 4000 1]' "x y pi" x y pi ---------- ----------- ---------- 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 42.60u 12.63s 7:28.63 12.3% time fundisp huge.fits'[idx_activate=1,idx_debug=1,pi=770&&cir 4000 4000 1]' "x y pi" x y pi ---------- ----------- ---------- idxeq: pi start=9473025,stop=9492240 => pi[ROW 9473025:9492240] idxand sort: x[ROW 8037025:8070128] y[ROW 5757665:5792352] idxor sort/merge: pi[ROW 9473025:9492240] [IDX_OR_SORT] idxmerge(5): [IDX_OR_SORT] pi[ROW] idxall(1): [IDX_OR_SORT] 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 3999.48 4000.47 770 1.67u 0.30s 0:24.76 7.9% The miracle of indexed filtering (and indeed, of any indexing) is the speed of the binary search on the index, which is of order log2(n) instead of n. (The funtools binary search method is taken from http://www.tbray.org/ongoing/When/200x/2003/03/22/Binary, to whom grateful acknowledgement is made.) This means that the larger the file, the better the performance. Conversely, it also means that for small files, using an index (and the overhead involved) can slow filtering down somewhat. Our tests indicate that on a file containing a few tens of thousands of rows, indexed filtering can be 10 to 20 percent slower than non-indexed filtering. Of course, your mileage will vary with con- ditions (disk access speed, amount of available memory, process load, etc.) Any problem encountered during index processing will result in indexing being turned off, and replaced by filtering all rows. You can turn filtering off manually by setting the idx_activate variable to 0 (in a filter expression) or the FILTER_IDX_ACTIVATE environment variable to 0 (in the global environment). Debugging output showing how the indexes are being processed can be displayed to stderr by setting the idx_debug variable to 1 (in a filter expression) or the FILTER_IDX_DEBUG environment variable to 1 (in the global environment). Currently, indexed filtering only works with FITS binary tables and raw event files. It does not work with text files. This restriction might be removed in a future release. SEE ALSO
See funtools(7) for a list of Funtools help pages version 1.4.2 January 2, 2008 funidx(7)