unix ksh retrieve oracle query result - oracle
I'm working on a small piece of ksh code for a simple task.
I need to retrieve about 14 millions lines from a table and then generate a xml file using this informations. I don't have any treatement on the information, only some "IF".
The problem is that for writing the file it takes about 30 minutes, and it is not acceptable for me.
This is a piece o code:
......
query="select field1||','||field2||' from table1"
ctl_data=`sqlplus -L -s $ORA_CONNECT #$REQUEST`
for variable in ${ctl_data}
do
var1=echo ${variable} | awk -F, '{ print $1 }'
var2=echo ${variable} | awk -F, '{ print $2 }'
....... write into the file ......
done
For speed up the things I'm writing only 30 lines into the file, so more stuff on one line, so I have only 30 acces to the file.
It is still long, so is not the writing but looping through the results.
Anyone have a ideea about how to improve it ?
Rather than pass from oracle to ksh could you do it all in oracle?
You can use the following to format your output as xml.
select xmlgen.getxml('select field1,field2 from table1') from dual;
You may be able to eliminate the calls to awk:
saveIFS="$IFS"
IFS=,
array=($variable)
IFS="$saveIFS"
var1=${array[0]} # or just use the array's elements in place of var1 and var2
var2=${array[1]}
you can lessen the amount of calls to awk using just one instance. eg
query="select codtit||','||crsspt||' from table1"
.....
sqlplus -L -s $ORA_CONNECT #$REQUEST | awk -F"," 'BEGIN{
print "xml headers here..."
}
{
# generate xml here..
print "<tag1>variable 1 is "$1"</tag1>"
print "<tag2>variable 2 is "$2" and so on..</tag2>"
if ( some condition here is true ){
print "do something here"
}
}'
redirect the above to a new file as necessary using > or >>
I doubt, that this is the most efficient way of dumping data to an xml file. You could try to use groovy for such a task. Take a look at the groovy cookbook at -> http://groovy.codehaus.org/Convert+SQL+Result+To+XML
Related
How to process file content differently for each line using shell script?
I have a file which has this data -
view:
schema1.view1:/some-path/view1.sql
schema2.view2:/some-path/view2.sql
tables:
schema1.table1:/some-path/table1.sql
schema2.table2:/some-path/table2.sql
end:
I have to read the file and store the contents in different variables.
viewData=$(sed '/view/,/tables/!d;/tables/q' $file|sed '$d')
tableData=$(sed '/tables/,/end/!d;/end/q' $file|sed '$d')
echo $viewData
view:
schema1.view1:/some-path/view1.sql
schema2.view2:/some-path/view2.sql
echo $tableData
tables:
schema1.table1:/some-path/table1.sql
schema2.table2:/some-path/table2.sql
dataArray=("$viewData" "$tableData")
I need to use a for loop over dataArray so that I get all the components in 4 different variables.
Lets say for $viewData, the loop should be able to print like this -
objType=view
schema=schema1
view=view1
fileLoc=some-path/view1.sql
objType=view
schema=schema2
view=view2
fileLoc=some-path/view2.sql
I have tried sed and cut commands but that is not working properly. And I need to do this using shell script only.
Any help will be appreciated. Thanks!
remark: If you add a space character between the : and / in the input then you would be able to use YAML-aware tools for parsing it robustly.
Given your sample input you, can use this awk for generating the expected blocks:
awk '
match($0,/[^[:space:]]+:/) {
key = substr($0,RSTART,RLENGTH-1)
val = substr($0,RSTART+RLENGTH)
if (i = index(key,".")) {
print "objType=" type
print "schema=" substr(key,1,i-1)
print "view=" substr(key,i+1)
print "fileLoc=" val
printf "%c", 10
} else
type = key
}
' data.txt
objType=view
schema=schema1
view=view1
fileLoc=/some-path/view1.sql
objType=view
schema=schema2
view=view2
fileLoc=/some-path/view2.sql
objType=tables
schema=schema1
view=table1
fileLoc=/some-path/table1.sql
objType=tables
schema=schema2
view=table2
fileLoc=/some-path/table2.sql
Test if a value is in a csv file in bash
I have a 3-4M lines csv file (my_csv.csv) with two columns as :
col1,col2
val11,val12
val21,val22
val31,val32
...
The csv contains only two columns with one comma per line. Col1 and Col2 values are only strings (nothing else). The result shown above is the result of the command head my_csv.cs..
I would like to check if a string test_str is into the col2 values. What I mean here is, if test_str = val12 I would like the test to return True because val12 is located in column 2 (as show in the example).
But if test_str = val1244 I want the code to return False.
In python it would be something as :
import pandas as pd
df = pd.read_csv('my_csv.csv')
test_str = 'val42'
if test_str in df['col2'].to_list():
# Expected to return true
# Do the job
But I have no clues how to do it in bash.
(I know that df['col2'].to_list() is not a good idea, but I didn't want to use built-in pandas function for the code to be easier to understand)
awk is most suited amongst the bash utilities to handle csv data:
awk -F, -v val='val22' '$2 == val {print "found a match:", $0}' file
found a match: val21,val22
An equivalent bash loop would be like this:
while IFS=',' read -ra arr; do
if [[ ${arr[1]} == 'val22' ]]; then
echo "found a match: ${arr[#]}"
fi
done < file
But do keep in mind that Bash while read loop extremely slow compared to cat, why?
Parsing CSV is difficult... unless your fields do not contain commas, newlines... And you don't do what you want in bash, on a large file it will be extremely slow. You do it using utilities like awk or grep that would also be available with dash, zsh or another shell. So, if you have a very simple CSV format you can use, e.g., grep: if grep -q ',val42$' my_csv.csv; then <do that> fi We can also put the string to search for in a variable but remember that some characters have a special meaning in regular expressions and shall be escaped. Example if there are no special characters in the string to search for: test_str="val42" if grep -q ",$test_str$" my_csv.csv; then <do that> fi
3-4M rows is a small file to awk. might as well just do
{m,g}awk 'END { exit !index($_,","(__)"\n") }' RS='^$' FS='^$' __="${test_str}"
How to extract text between two patterns with sed/awk
I know this has been asked 1000 times here, but I read a lot of similar questions and still did not manage to find the right way to do this. I need to extract a number from a line that looks like this:
{"version":"4.9.123M","info":{"version":[2034.2],"description":""},"status":"OK"}
Expected output:
2034.2
This version number will not always be the same, but the rest of the line should.
I have tried working with sed but I am new to this and failed:
sed -e 's/version":[\(.*\),"description/\1/'
output:
sed: -e expression #1, char 35: unterminated `s' command
I think the issue is that there are too many special characters involved in the line and I did not write the command very well.
Since it's JSON, use should use JSON aware tools for processing it. If you prefer, for example, awk, the way is to use GNU awk's JSON extension. This is a small how-to.
First download and compile appropriate versions of GNU awk, Gawkextlib and gawk-json. That's pretty straightforward, actually, just ./configure and make. Then, write some code:
awk '
#load "json" # enable json extension
{
lines=lines $0 # read json file records and buffer to var lines
if(json_fromJSON(lines,data)==1) { # once the json is complete
for(i in data["info"]["version"]) # that seems to be an array so all elements
print data["info"]["version"][i] # are outputed
lines="" # once done with the first json object
} # reset the var for more lines
}' file
Output this time:
2034.2
Explained a bit more:
The JSON file structure can vary from one line to multiple lines, for example:
{"version":"4.9.123M","info":{"version":[2034.2],"description":""},"status":"OK"}
or:
{
"version": "4.9.123M",
"info": {
"version": [
2034.2
],
"description": ""
},
"status": "OK"
}
so we need to buffer the JSON lines with lines=lines $0 until there is a whole valid object in variable lines. We use the extension function json_fromJSON() to determine that validity in if(json_fromJSON(lines,data)==1). While validated the object gets disentangled and stored to array data. For this particular object the structure of the array is:
data["version"]="4.9.123M"
data["info"]["version"][1]="2034.2"
data["info"]["description"]=""
data["status"]="OK"
We could examine the object and produce some output of it with this recursive array scanning function:
awk '
#load "json"
function scan(a,p, q) { # a is array, p path to it, q is qnd *
if(isarray(a))
for(i in a) {
q=p (p==""?"":"->") i
scan(a[i],q)
}
else
print p ":" a
}
{
lines=lines $0
if(json_fromJSON(lines,data)==1)
scan(data) #
}' file.json
Output:
status:OK
version:4.9.123M
info->version->1:2034.2
info->description:
*) quick'n dirty
Here is a brief example of how to output JSON from an array: https://stackoverflow.com/a/58109715/4162356
If the version is always enclosed in [] and no other [ or ] is present in a line ,you can try this logic
STR='{"version":"4.9.123M","info":{"version":[2034.2],"description":""},"status":"OK"}'
echo $STR | awk -F'[' '{print $2}' | awk -F']' '{print $1}'
Simplest Way
Try grep when want to extract simple texts
echo "{"version":"4.9.123M","info":{"version":[2034.2],"description":""},"status":"OK"}"| grep -o "\[.*\]" | sed -e 's/\[\|\]//g'
This should do:
STR='{"version":"4.9.123M","info":{"version":[2034.2],"description":""},"status":"OK"}'
echo "$STR" | awk -F'[][]' '{print $2}'
2034.2
How to collate multiple files in AWK?
I am trying to collate a series of .csv log files that are named by date (e.g., 2019-02-24.csv). There are a bunch of them, so I'm trying to script the process. I've crafted an AWK script that combines individual files:
awk ' FNR==1 { while (/"_time",PIN,FULLNAME,OFFICE,Acronym,Name/) getline; } 1 { print } ' 2019-01-01.csv >> usage_history.csv
But I am failing when I try to string the AWK commands together with a control loop in BASH:
for i in {01..28}; do echo "awk ' FNR==1 { while (/\"_time\",PIN,FULLNAME,OFFCODE,Acronym,Name/) getline; } 1 { print } ' 2019-01-$i.csv >> user_history.csv"; done
When I run this, it prints out the correct commands to the command line, but the awk scripts are not executed (they only get printed). If I run it without echo, I get errors telling me that the file doesn't exist; though all files are present:
bash: awk ' FNR==1 { while (/"_time",PIN,FULLNAME,OFFCODE,Acronym,Name/) getline; } 1 { print } ' 2019-01-01.csv >> user_history.csv: No such file or directory
What am I missing in my loop?
Here is a condensed sample of the command and the error messages:
$ for i in {01..02}; do "awk ' FNR==1 { while (/\"_time\",PIN,FULLNAME,OFFCODE,Acronym,Name/) getline; } 1 { print } ' 2019-01-$i.csv >> user_history.csv"; done
bash: awk ' FNR==1 { while (/"_time",PIN,FULLNAME,OFFCODE,Acronym,Name/) getline; } 1 { print } ' 2019-01-01.csv >> user_history.csv: No such file or directory
bash: awk ' FNR==1 { while (/"_time",PIN,FULLNAME,OFFCODE,Acronym,Name/) getline; } 1 { print } ' 2019-01-02.csv >> user_history.csv: No such file or directory
Could you please try following.
awk '!/"_time",PIN,FULLNAME,OFFCODE,Acronym,Name/' 2019-01-[0-9]*.csv >> user_history.csv
Here following are the points why one could use this approach:
1- Use of for loop and calling awk command in that each time will be a overkill. We should use smart approach when awk could read multiple files then we should sue it.
2- Now comes the getline part which you tried in your code, so if we want to negate any string then simply negate it by using !/string_to_be_skipped/ so it will look for only those lines which are NOT having this string.
3- While mentioning file(multiple files) to single awk command I used 2019-01-[0-9]*.csv why because since you have NOT told if files will be created daily basis or not so in case we give it a loop style and that specific file is NOT present then we will get an error. For an example let's say I use following awk command where I intentionally removed file named(2019-01-02.csv).
awk '........' 2019-01-{01..29}.csv
awk: cannot open 2019-01-02.csv (No such file or directory)
So to avoid these kind of situations I have used 2019-01-[0-9]*.csv where it will only look for files which have digits after 2019-01-0 and will loop NOT run in a loop and complaint us that some xyz etc file is missing.
Try this:
for i in {01..28}; do awk '!/"_time",PIN,FULLNAME,OFFCODE,Acronym,Name/' 2019-01-$i.csv >>user_history.csv;done
The commands after do should not be quoted.
And what you were doing essentially equals to ignore the title lines.
The {print} after 1 is unnecessary -- single 1 implies {print}. The 1 is to provide a true.
-- When there's only an expression but no block, the block implies to {print}.
-- And only a regexp equals $0~/regex/, and here I negated it.
If there's no other command inside the loop, you can simplify the loop with one awk command:
awk '!/"_time",PIN,FULLNAME,OFFCODE,Acronym,Name/' 2019-01-{01..28}.csv >>user_history.csv
But this one will throw error and stop executing when one of the files not existed.
Another way is:
awk '!/"_time",PIN,FULLNAME,OFFCODE,Acronym,Name/' 2019-01-[0-3][0-9].csv >>user_history.csv
This one will only match filenames, instead of loop for them.
It won't stop executing nor throw error, So if there's file missing you wouldn't know. And it will match extra files if exist.
For example it will read 2019-01-34.csv if it exists.
So if you want the warnings (warnings won't affect the results), but don't want the commands to stop, then use the first for loop one.
Pitfalls:
[0-3][1-9] won't match 10,20 and 30, but will match 32 to 39.
[0-9]* will match any longer number, but with 20 to 29 before 3 or likewise, it's string order.
Thanks to #Tiw and #RavinderSingh13 for their guidance. Here is the final awk script that is working well for my case where I have daily files from multiple days, months, and years (only 2018 and 2019 in this case): awk '!/"_time",PIN,FULLNAME,OFFCODE,Acronym,Name/' 201[8-9]-[0-1][0-2]-[0-3][0-9].csv >> user_history.csv
How to convert HHMMSS to HH:MM:SS Unix?
I tried to convert the HHMMSS to HH:MM:SS and I am able to convert it successfully but my script takes 2 hours to complete because of the file size. Is there any better way (fastest way) to complete this task
Data File
data.txt
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,,,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,,071600,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,072200,072200,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TAB,072600,072600,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,073200,073200,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,073500,073500,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,MRO,073700,073700,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,CPT,073900,073900,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,074400,,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,,,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,,090200,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,090900,090900,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,091500,091500,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TAB,091900,091900,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,092500,092500,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,092900,092900,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,MRO,093200,093200,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,CPT,093500,093500,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,094500,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,CPT,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,MRO,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TAB,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,,170100,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,CPT,170400,170400,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,MRO,170700,170700,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,171000,171000,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,171500,171500,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TAB,171900,171900,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,172500,172500,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,172900,172900,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,173500,173500,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,174100,,
My code : script.sh
#!/bin/bash
awk -F"," '{print $5}' Data.txt > tmp.txt # print first line first string before , to tmp.txt i.e. all Numbers will be placed into tmp.txt
sort tmp.txt | uniq -d > Uniqe_number.txt # unique values be stored to Uniqe_number.txt
rm tmp.txt # removes tmp file
while read line; do
echo $line
cat Data.txt | grep ",$line," > Numbers/All/$line.txt # grep Number and creats files induvidtually
awk -F"," '{print $5","$4","$7","$8","$9","$10","$11}' Numbers/All/$line.txt > Numbers/All/tmp_$line.txt
mv Numbers/All/tmp_$line.txt Numbers/Final/Final_$line.txt
done < Uniqe_number.txt
ls Numbers/Final > files.txt
dos2unix files.txt
bash time_replace.sh
when you execute above script it will call time_replace.sh script
My Code for time_replace.sh
#!/bin/bash
for i in `cat files.txt`
do
while read aline
do
TimeDep=`echo $aline | awk -F"," '{print $6}'`
#echo $TimeDep
finalTimeDep=`echo $TimeDep | awk '{for(i=1;i<=length($0);i+=2){printf("%s:",substr($0,i,2))}}'|awk '{sub(/:$/,"")};1'`
#echo $finalTimeDep
##########
TimeAri=`echo $aline | awk -F"," '{print $7}'`
#echo $TimeAri
finalTimeAri=`echo $TimeAri | awk '{for(i=1;i<=length($0);i+=2){printf("%s:",substr($0,i,2))}}'|awk '{sub(/:$/,"")};1'`
#echo $finalTimeAri
sed -i 's/',$TimeDep'/',$finalTimeDep'/g' Numbers/Final/$i
sed -i 's/',$TimeAri'/',$finalTimeAri'/g' Numbers/Final/$i
############################
done < Numbers/Final/$i
done
Any better solution?
Appreciate any help.
Thanks
Sri
If there's a large quantity of files, then the pipelines are probably what are going to impact performance more than anything else - although processes can be cheap, if you're doing a huge amount of processing then cutting down the amount of time you do pass data through a pipeline can reap dividends.
So you're probably going to be better off writing the entire script in awk (or perl). For example, awk can send output to an arbitary file, so the while lop in your first file could be replaced with an awk script that does this. You also don't need to use a temporary file.
I assume the sorting is just for tracking progress easily as you know how many numbers there are. But if you don't care for the sorting, you can simply do this:
#!/bin/sh
awk -F ',' '
{
print $5","$4","$7","$8","$9","$10","$11 > Numbers/Final/Final_$line.txt
}' datafile.txt
ls Numbers/Final > files.txt
Alternatively, if you need to sort you can do sort -t, -k5,4,10 (or whichever field your sort keys actually need to be).
As for formatting the datetime, awk also does functions, so you could actually have an awk script that looks like this. This would replace both of your scripts above whilst retaining the same functionality (at least, as far as I can make out with a quick analysis) ... (Note! Untested, so may contain vauge syntax errors):
#!/usr/bin/awk
BEGIN {
FS=","
}
function formattime (t)
{
return substr(t,1,2)":"substr(t,3,2)":"substr(t,5,2)
}
{
print $5","$4","$7","$8","$9","formattime($10)","formattime($11) > Numbers/Final/Final_$line.txt
}
which you can save, chmod 700, and call directly as:
dostuff.awk filename
Other awk options include changing fields in-situ, so if you want to maintain the entire original file but with formatted datetimes, you can do a modification of the above. Change the print block to:
{
$10=formattime($10)
$11=formattime($11)
print $0
}
If this doesn't do everything you need it to, hopefully it gives some ideas that will help the code.
It's not clear what all your sorting and uniq-ing is for. I'm assuming your data file has only one entry per line, and you need to change the 10th and 11th comma-separated fields from HHMMSS to HH:MM:SS.
while IFS=, read -a line ; do
echo -n ${line[0]},${line[1]},${line[2]},${line[3]},
echo -n ${line[4]},${line[5]},${line[6]},${line[7]},
echo -n ${line[8]},${line[9]},
if [ -n "${line[10]}" ]; then
echo -n ${line[10]:0:2}:${line[10]:2:2}:${line[10]:4:2}
fi
echo -n ,
if [ -n "${line[11]}" ]; then
echo -n ${line[11]:0:2}:${line[11]:2:2}:${line[11]:4:2}
fi
echo ""
done < data.txt
The operative part is the ${variable:offset:length} construct that lets you extract substrings out of a variable.
In Perl, that's close to child's play:
#!/usr/bin/env perl
use strict;
use warnings;
use English( -no_match_vars );
local($OFS) = ",";
while (<>)
{
my(#F) = split /,/;
$F[9] =~ s/(\d\d)(\d\d)(\d\d)/$1:$2:$3/ if defined $F[9];
$F[10] =~ s/(\d\d)(\d\d)(\d\d)/$1:$2:$3/ if defined $F[10];
print #F;
}
If you don't want to use English, you can write local($,) = ","; instead; it controls the output field separator, choosing to use comma. The code reads each line in the file, splits it up on the commas, takes the last two fields, counting from zero, and (if they're not empty) inserts colons in between the pairs of digits. I'm sure a 'Code Golf' solution would be made a lot shorter, but this is semi-legible if you know any Perl.
This will be quicker by far than the script, not least because it doesn't have to sort anything, but also because all the processing is done in a single process in a single pass through the file. Running multiple processes per line of input, as in your code, is a performance disaster when the files are big.
The output on the sample data you gave is:
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,,,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,,07:16:00,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,07:22:00,07:22:00,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TAB,07:26:00,07:26:00,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,07:32:00,07:32:00,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,07:35:00,07:35:00,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,MRO,07:37:00,07:37:00,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,CPT,07:39:00,07:39:00,
10,SRI,AA,20091210,8503,ABCXYZ,D,N,TMP,07:44:00,,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,,,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,,09:02:00,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,09:09:00,09:09:00,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,09:15:00,09:15:00,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TAB,09:19:00,09:19:00,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,09:25:00,09:25:00,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,09:29:00,09:29:00,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,MRO,09:32:00,09:32:00,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,CPT,09:35:00,09:35:00,
10,SRI,AA,20091210,8505,ABCXYZ,D,N,TMP,09:45:00,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,CPT,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,MRO,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TAB,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8506,ABCXYZ,U,N,TMP,,,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,,17:01:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,CPT,17:04:00,17:04:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,MRO,17:07:00,17:07:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,17:10:00,17:10:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,17:15:00,17:15:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TAB,17:19:00,17:19:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,17:25:00,17:25:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,17:29:00,17:29:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,17:35:00,17:35:00,
10,SRI,AA,20091210,8510,ABCXYZ,U,N,TMP,17:41:00,,