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I'm trying to write a bash script that would be able to grep table names from across files (within a directory) that partially match a string.
For my case, I'd like to return all table references following a certain convention (case insensitive):
tblpl
tbljoin
tbldim
This would ideally return a list like this:
product.dbo.tblplColors
product..tblplMonograms
solr.dbo.tbljoinSkuCategory
Matching one table name format at a time would also be alright if that helped reduce some of the complexity. To clarify, this would return just the table names- not the file name/all of the file contents. It's safe to say the end of the table name would be delimited by a space since it's SQL.
Where I've started:
grep -rio 'tblpl*[^ ]' d:/sqldirectoryhere > c:/Users/foo/Desktop/tables.txt
Any help/pointers are appreciated here- thanks!
Edit: Both of these answers nailed my use case. I ended up adding the extended regex (so huge thanks for that recommendation) but I have to give credit to the person who wrote the bulk of it. Thanks all!
My extended use case ended up being a way to return this list of tables and then script it to a query-friendly format so I could throw these into a WHERE IN clause. In case anyone ever needs it:
grep -rioE --no-filename '[a-zA-Z_.]+\.tbl(pl|join|dim)[a-zA-Z_]+' {DIRECTORY_HERE} | sed -n 's/.*/\x27&\x27/; $! s/$/,/; 1 h; 1 ! H; $ { x; s/\n/ /g; p; }'
Returns formatted as: 'db.tblplColorSwatches', 'db.tbljoinCustomerSegment'...
It finds any mixed sequence of letters and periods followed by .tblpl or .tbljoin or .tbldim followed by one or more letters (see regex101 link)
try this regular expression:
[a-zA-Z.]+\.tbl(pl|join|dim)[a-zA-Z]+
I would use the -E flag to use extended regular expression:
grep -rioE '[a-z]*\.[a-z]*\.tbl(pl|join|dim)[a-z]*' d:/sqldirectoryhere
I have a file that contains lines in a format similar to this...
/data/file.geojson?10,20,30,40
/data/file.geojson?bbox=-5.20751953125,49.05227025601607,3.0322265625,56.46249048388979
/data/file.geojson?bbox=-21.46728515625,45.99696161820381,19.2919921875,58.88194208135912
/data/file.geojson?bbox=-2.8482055664062496,54.38935426009769,-0.300750732421875,55.158473983815306
/data/file.geojson?bbox=-21.46728515625,45.99696161820381,19.2919921875,58.88194208135912
/data/file.geojson?bbox=-21.46728515625,45.99696161820381,19.2919921875,58.88194208135912
I've tried a combination of grep, sed, gawk, and |(pipes) to try and pattern match and then change the format to be more like this...
[10,40],[30,40],[30,20][10,20],
[-5.20751953125,56.46249048388979],[3.0322265625,56.46249048388979].....
Hopefully you get the idea from the first line so I don't have to type out all the examples manually!
I've got the hang of regex to match the co-ordinates. In fact the input file is the result of extracting from apache access logs. It might be easier to read/understand answers if they just match positive integer numbers, I will then be able to slot in a more complicated pattern to match the right range.
To be able to arrange the results like you which it is important to be able to access the last for values per line.
No pattern matching is required if you use awk. You can split the input strings by a set of delimiters and reassemble the resulting fields. 40 can be accessed as $(NF), 30 as $(NF-1) and so on.
awk -F'[?,=]' '
{printf "[%s,%s],[%s,%s],[%s,%s],[%s,%s]\n",
$(NF-3),$(NF),$(NF-1),$(NF),
$(NF-1),$(NF-2),$(NF-3),$(NF-2)
}' file
I'm using ?, , or = as the field delimiters. This makes it simple to access the columns of interest.
Output:
[10,40],[30,40],[30,20],[10,20]
[-5.20751953125,56.46249048388979],[3.0322265625,56.46249048388979],[3.0322265625,49.05227025601607],[-5.20751953125,49.05227025601607]
[-21.46728515625,58.88194208135912],[19.2919921875,58.88194208135912],[19.2919921875,45.99696161820381],[-21.46728515625,45.99696161820381]
[-2.8482055664062496,55.158473983815306],[-0.300750732421875,55.158473983815306],[-0.300750732421875,54.38935426009769],[-2.8482055664062496,54.38935426009769]
[-21.46728515625,58.88194208135912],[19.2919921875,58.88194208135912],[19.2919921875,45.99696161820381],[-21.46728515625,45.99696161820381]
[-21.46728515625,58.88194208135912],[19.2919921875,58.88194208135912],[19.2919921875,45.99696161820381],[-21.46728515625,45.99696161820381]
Btw, also sed can be used here:
sed -r 's/.*[?=]([^,]+),([^,]+),([^,]+),(.*)/[\1,\4],[\3,\4],[\3,\2],[\1,\2]/' file
The command is capturing the numbers at the end each in a separate capturing group and re-assembles them in the replacement part.
Not all versions of sed support the + quantifier. The most compatible version would look like this :)
sed 's/.*[?=]\([^,]\{1,\}\),\([^,]\{1,\}+\),\([^,]\{1,\}\),\(.*\)/[\1,\4],[\3,\4],[\3,\2],[\1,\2]/' file
sed strips off items prior to numbers, then awk splits on comma and outputs in different order. Assuming data is in a file called "td.txt"
sed 's/^[^0-9-]*//' td.txt|awk -F, '{print "["$1","$4"],["$3","$4"],["$3","$2"],["$1","$2"],"}'
This might work for you (GNU sed):
sed -r 's/^.*\?[^-0-9]*([^,]*),([^,]*),([^,]*),([^,]*)/[\1,\4],[\3,\4],[\3,\2],[\1,\2]/' file
Or with more toothpicks:
sed 's/^.*\?[^-0-9]*\([^,]*\),\([^,]*\),\([^,]*\),\([^,]*\)/[\1,\4],[\3,\4],[\3,\2],[\1,\2]/' file
You can use the following to match:
(\/data\/file\.geojson\?(?:bbox=)?)([0-9.-]+),([0-9.-]+),([0-9.-]+),([0-9.-]+)
And replace with the following:
$1[$2,$3],[$4,$5]
See DEMO
I've one CSV file which has almost 50k records. I want to remove the unnecessary records from this file. Can anyone tell me how can I achieve this by Regex through Find and Replacement?
The data looks like this:
Item Code,,Qty
CMAC-389109,,6
,Serial No.,
,954zg5,
,ffnaw8,
,gh8731,
,gxj419,
,hc6y9q,
,y65vh8,
CMAC-394140,,1
,Serial No.,
,4cu3z7,
and I want to convert this data to below format:
ItemCode,Serial Number,Qty
CMAC-389109,"954zg5, ffnaw8, gh8731, gxj419, hc6y9q, y65vh8",6
CMBM-394140,"4cu3z7",1
Here's a regex which captures two groups (Item Code and Shelf):
^([^,]*?)(?:,(?:[^,]+)?){5},([^,]+),.*$
I don't know what syntax DW uses to reference groups. But usually it's either $n or \n, so in your case, you can put $1, $2 in the "replacement" field of the search/replace box. Or \1, \2.
If you have access to a Linux environment (OS-X and Cygwin should work too), you can use the command-line tools cut and grep to accomplish this quite easily:
cat <filename> | cut -d ',' -f 1,7 | grep -v "^,$" > <output_file>
The parameters I used on cut are:
-d
Delimiter (by which character the fields are separated)
-f
Fields (which fields to include in the output).
... and grep:
-v
Invert pattern: Only include lines in output not matching the regex.
Given your data in your question, the above command will yield this result:
Item Code,Shelf
CMAC-386607,M5-2
CMAC-389109, F2-3
This should also be quite efficient, as cut works on a stream, and only loads as much data into memory as necessary. So you don't need to load the whole file before executing the task. It being a large file, this might be handy.
I have a huge .txt file, 300GB to be more precise, and I would like to put all the distinct strings from the first column, that match my pattern into a different .txt file.
awk '{print $1}' file_name | grep -o '/ns/.*' | awk '!seen[$0]++' > test1.txt
This is what I've tried, and as far as I can see it works fine but the problem is that after some time I get the following error:
awk: program limit exceeded: maximum number of fields size=32767
FILENAME="file_name" FNR=117897124 NR=117897124
Any suggestions?
The error message tells you:
line(117897124) has to many fields (>32767).
You'd better check it out:
sed -n '117897124{p;q}' file_name
Use cut to extract 1st column:
cut -d ' ' -f 1 < file_name | ...
Note: You may change ' ' to whatever the field separator is. The default is $'\t'.
The 'number of fields' is the number of 'columns' in the input file, so if one of the lines is really long, then that could potentially cause this error.
I suspect that the awk and grep steps could be combined into one:
sed -n 's/\(^pattern...\).*/\1/p' some_file | awk '!seen[$0]++' > test1.txt
That might evade the awk problem entirely (that sed command substitutes any leading text which matches the pattern, in place of the entire line, and if it matches, prints out the line).
Seems to me that your awk implementation has an upper limit for the number of records it can read in one go of 117,897,124. The limits can vary according to your implementation, and your OS.
Maybe a sane way to approach this problem is to program a custom script that uses split to split the large file into smaller ones, with no more than 100,000,000 records each.
Just in case that you don't want to split the file, then maybe you could look for the limits file correspondent to your awk implementation. Maybe you can define unlimited as the Number of Records value, although I believe that is not a good idea, as you might end up using a lot of resources...
If you have enough free space on disk (because creates a temp .swp file) I suggest to use Vim, vim regex has small difference but you can convert from standard regex to vim regex with this tool http://thewebminer.com/regex-to-vim
The error message says your input file contains too many fields for your awk implementation. Just change the field separator to be the same as the record separator and you'll only have 1 field per line and so avoid that problem, then merge the rest of the commands into one:
awk 'BEGIN{FS=RS} {sub(/[[:space:]].*/,"")} /\/ns\// && !seen[$0]++' file_name
If that's a problem then try:
awk 'BEGIN{FS=RS} {sub(/[[:space:]].*/,"")} /\/ns\//' file_name | sort -u
There may be an even simpler solution but since you haven't posted any sample input and expected output, we're just guessing.
I am attempting to parse (with sed) just First Last from the following DN(s) returned by the DSCL command in OSX terminal bash environment...
CN=First Last,OU=PCS,OU=guests,DC=domain,DC=edu
I have tried multiple regexs from this site and others with questions very close to what I wanted... mainly this question... I have tried following the advice to the best of my ability (I don't necessarily consider myself a newbie...but definitely a newbie to regex..)
DSCL returns a list of DNs, and I would like to only have First Last printed to a text file. I have attempted using sed, but I can't seem to get the correct function. I am open to other commands to parse the output. Every line begins with CN= and then there is a comma between Last and OU=.
Thank you very much for your help!
I think all of the regular expression answers provided so far are buggy, insofar as they do not properly handle quoted ',' characters in the common name. For example, consider a distinguishedName like:
CN=Doe\, John,CN=Users,DC=example,DC=local
Better to use a real library able to parse the components of a distinguishedName. If you're looking for something quick on the command line, try piping your DN to a command like this:
echo "CN=Doe\, John,CN=Users,DC=activedir,DC=local" | python -c 'import ldap; import sys; print ldap.dn.explode_dn(sys.stdin.read().strip(), notypes=1)[0]'
(depends on having the python-ldap library installed). You could cook up something similar with PHP's built-in ldap_explode_dn() function.
Two cut commands is probably the simplest (although not necessarily the best):
DSCL | cut -d, -f1 | cut -d= -f2
First, split the output from DSCL on commas and print the first field ("CN=First Last"); then split that on equal signs and print the second field.
Using sed:
sed 's/^CN=\([^,]*\).*/\1/' input_file
^ matches start of line
CN= literal string match
\([^,]*\) everything until a comma
.* rest
http://www.gnu.org/software/gawk/manual/gawk.html#Field-Separators
awk -v RS=',' -v FS='=' '$1=="CN"{print $2}' foo.txt
I like awk too, so I print the substring from the fourth char:
DSCL | awk '{FS=","}; {print substr($1,4)}' > filterednames.txt
This regex will parse a distinguished name, giving name and val a capture groups for each match.
When DN strings contain commas, they are meant to be quoted - this regex correctly handles both quoted and unquotes strings, and also handles escaped quotes in quoted strings:
(?:^|,\s?)(?:(?<name>[A-Z]+)=(?<val>"(?:[^"]|"")+"|[^,]+))+
Here is is nicely formatted:
(?:^|,\s?)
(?:
(?<name>[A-Z]+)=
(?<val>"(?:[^"]|"")+"|[^,]+)
)+
Here's a link so you can see it in action:
https://regex101.com/r/zfZX3f/2
If you want a regex to get only the CN, then this adapted version will do it:
(?:^|,\s?)(?:CN=(?<val>"(?:[^"]|"")+"|[^,]+))