need help in fast parsing

hello,
I have got a file under 100KB guarenteed and I have got to pick up parts of it and store some parts,lets say structure is

START=TYPE1=BLAH
...
...
END=TYPE1=BLAH
...
...
START=TYPE2=BLAH
...
...
END=TYPE2=BLAH

It is always guaranteed that one type of block is contiguos i.e there will be no overlapping START,END blocks.
But there are millions of 'StART=' blocks

I have done using simple indexOf() and also teh Boyer-Moore algorithm from http://mindprod.com/products.html
search on keyword 'search' :-)

But i finally think that I will have to use something like this
http://www.cs.princeton.edu/~appel/modern/java/JLex/

Now has anybody used something like this?I think this is what Lex and Yacc r abt.

I was thinking of searching for these 'START=' using this RegEx stuff and then sometimes depending on some conditions, I have store this chunk of data between the delimiters in a Data Structure in Memory.
Right now I have done hard coding and storing then as a String in a pre defined string Array.
I feel that am going astray and would like some advice before going completely bonkers.
Can't use readLine() since I have to pick up the data and store it for later modification

Any suggestions in how to implement using the regex stuff would be welcome

is this of any help?
http://www.quateams.com/oro/software/OROMatcher1.1.html

the exact structure of record is something like this with attached algorithm using this regex code AND sample data file.

basically I have a record like this
START=TYPE1=200=2    ---->header
.......
.......
.......  -----> body
.......
END=TYPE1=200=2      ------> footer

which gives me output like
'START=TYPE1=' only doesnt give me the '200=2' at end

my code will go like

while(matcher doesnt rech end of file)
{
   (1)look at header of each record ,a sort of look ahead

   (2) if(Type 1)
        {
              if(body also present)
              {
                   pick up whole record & process
              }
              else
              {
                   discard record
              }
        }
        else if(Type 2)
        {
              if(body also present)
              {
                   pick up whole record & process
              }
              else
              {
                   discard record
              }
        }
        else if (type 3)
        {
              if(body also present)
              {
                   pick up whole record & process
              }
              else
              {
                   discard record
              }
        }
        ...and so on
}
 

Sample data file is


START=type1=200=0
END=type1=200=0

START=type1=200=0
Name=mickey
data=0xQv4gBjAAEIQwoAAQIAAAABABABqqqqqqqqqqqqqqqqqqqqIAAAAQEIATMzMzMzMzMAAAA
END=type1=200=0

START=type1=200=1
END=type1=200=1

START=type1=200=1
Name=GueesssMan
data=WL8vsAABCEMKAAECAAAAUQAQUaqqqqqqqqqqqqqqqqqqqiAAAFEBCFEzMzMzMzMzAAAAUQI
Q
END=type1=200=1

START=type2=200=0
Name=maximumsecurity
END=type2=200=0


START=type1=200=2
END=type1=200=2

START=type1=200=2
Name=mickey2
data=0xQv4gBjAAEIQwoAAQIAAAABABABqqqqqqqqqqqqqqqqqqqqIAAAAQEIATMzMzMzMzMAAAA
END=type1=200=2


START=type2=200=1
Name=conn2
END=type2=200=1