searchengine/cpix/tsrc/perfmetrics/data/scaling-testvector.txt
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     1 # TestVector definition file for perfmetrics.exe
       
     2 
       
     3 # This testvector is specifically suitable for scaling tests, that is,
       
     4 # where you test content creation, deletion, updating and all sorts of
       
     5 # searching on an ever growing index.
       
     6 
       
     7 # name of the test. If using 'poi', the path
       
     8 # data\\indexing\\searched\\perfmetrics\\pois.txt is used instead of
       
     9 # HugeTestCorpus as well as POI schema applied to base app class "root
       
    10 # maps poi".
       
    11 plain
       
    12 #poi
       
    13 
       
    14 # (re-)create index database on start (1: yes, 0: no)
       
    15 #1
       
    16 0
       
    17 
       
    18 # RAM Buffer Size (in bytes) 
       
    19 32768 
       
    20 
       
    21 # number of preindexed (or skipped) items
       
    22 #  if positive, this many items are read from corpus, indexing
       
    23 #  if negative, this many items are read from corpus, discarding
       
    24 0
       
    25 
       
    26 # max input size - this many items are read from the corpus at most
       
    27 # (not counting the preindexed items)
       
    28 #60000
       
    29 #147729
       
    30 1
       
    31 
       
    32 # lump size - measurements are organized into lumps
       
    33 #5000
       
    34 500
       
    35 
       
    36 # number of firsts - for each lump, this many items are indexed (while
       
    37 # measuring time and memory consumption)
       
    38 #10
       
    39 -1
       
    40 
       
    41 
       
    42 # number of lasts - for each lump, after indexing the firsts
       
    43 # (measuring them), and possibly (usually) indexing more, the last
       
    44 # items are also of special interest (they are added, deleted,
       
    45 # re-added, updated: all this while taking measurements)
       
    46 #10
       
    47 500
       
    48 
       
    49 # searches - for each query term, this many times the search is
       
    50 # executed in a loop (can be 0 to switch of search measurements)
       
    51 #5
       
    52 5
       
    53 
       
    54 # incremental searches - for each query term, this many times an
       
    55 # incremental search is executed in a loop (can be 0 to switch of
       
    56 # incremental search measurements)
       
    57 #5
       
    58 5
       
    59 
       
    60 # minimal incremental length: the minimal perfix length for each query
       
    61 # term to form a wildcard query for incremental search
       
    62 # purposes. E.g. if the query term is "character" and the minimal
       
    63 # incremental length is 2, then wildcard searches start with "ch*"
       
    64 2
       
    65 
       
    66 # suggestion searches - for each query term, this many times an
       
    67 # suggest searches is executed in a loop (can be 0 to switch of
       
    68 # suggest search measurements)
       
    69 5
       
    70 
       
    71 # minimal suggestion length: the minimal perfix length for each query
       
    72 # term to form a wildcard query for suggestion
       
    73 # purposes. E.g. if the query term is "character" and the minimal
       
    74 # incremental length is 2, then wildcard searches start with "ch*"
       
    75 2
       
    76 
       
    77 # whether to take snapshot of the index at certain points (copying the
       
    78 # physical index to c:\data\perfmetrics\idxs\NNN\... where NNN is the
       
    79 # id of the lump at the end of which the snapshot was taken. Values: 0
       
    80 # no, 1 yes.
       
    81 #0
       
    82 0
       
    83 
       
    84 # whether to add lasts. If "number of lasts" > 0 and "add lasts" == 1
       
    85 # (true) then the lasts are added. 0: no, 1: yes
       
    86 1
       
    87 
       
    88 # whether to delete and re-add lasts. If "number of lasts" > 0 and
       
    89 # "delete and re-add lasts" == 1 (true) then the lasts are deleted and
       
    90 # re-added. 0: no, 1: yes
       
    91 1
       
    92 
       
    93 # whether to update lasts. If "number of lasts" > 0 and "update lasts"
       
    94 # == 1 (true) then the lasts are updated. 0: no, 1: yes
       
    95 1
       
    96 
       
    97 # query terms - these terms will be searched for at the end of every
       
    98 # lump
       
    99 exception
       
   100 discovered
       
   101 belonging
       
   102 destroyed
       
   103 everywhere
       
   104 character