## time_hash_map_fill

time_hash_map_fill.cpp is a micro-benchmark specifically designed to highlight aspects of concurrent resizing algorithm of the hash tables. It was derived from the Count Strings example that counts the number of unique words. But to exclude synchronization on the counters from the picture, it was simplified to build just a set of unique numbers from an input array. The array is filled evenly by using a pseudo-random number generator from the standard C library for various proportions of unique numbers. For example, for 5% of unique numbers, the same number is repeated 20 times on average. Together, it gives 5% of actual insertions and 95% are just lookups. However, in the beginning, there are more new keys occur than in the end. In addition, a size of the source array correlates with input rates in order to produce the same number of unique keys at the end, and so exclude cache effects from the equation.

## Diagram

### Prepare results

This benchmark outputs results in Excel* and html file formats by default. To generate text (CSV) file instead, specify STAT_FORMAT=pivot-csv evironment variable. To change the default table size, set TABLE_SIZE. ``

    src$    make time_hash_map_fill args=-v STAT_FORMAT=pivot-csv TABLE_SIZE=250000

Or to get statistics from different runs: `

    src$    make time_hash_map_fill TABLE_SIZE=50000 run_cmd="bash ../../src/perf/run_statistics.sh"

`

### Build diagram

You can use Ploticus to build diagram from the prepared data using this html file as a script. But first, the input data file should be sorted to join lines from different runs together, e.g.: `

    src$    sort -t , -k 1dr,2 -k 3n,4 -k 7n,7 ../build/{scrambled_path}/time_hash_map_fill.csv -o perf/time_hash_map_fill.csv

`Here, field 7 is "Column" field that contains input rates because run_statistics.sh adds hostname and number of the run as 5 and 6 fields. Now, to build gif diagram, run: `

    perf$   pl -maxrows 200000 -maxfields 1500000 -maxvector 1200000 -gif -scale 1.8 time_hash_map_fill.html

`

### Script body

    #setifnotgiven NAMES = $makelist("1.CHMap 2.CUMap 3.OLD")
    #setifnotgiven LABLESIZE = 0.06

    #proc settings
      encodenames: yes
      units: cm

    #proc getdata
      file: time_hash_map_fill.csv
      fieldnameheader: yes
      delim: comma
      showdata: no
      select: @@Mode = insert
      pf_fieldnames: Name Mode Threads Value
      filter:
        ##print @@Name,"@@Items on @@Column",@@3,@@Value

    #endproc

    #proc page
      pagesize: 70 50
      tightcrop: yes
    #endproc

    #proc processdata
      action: summary
      fields: Name Mode Threads
      valfield: Value
      fieldnames: Name Mode Threads Average sd sem n_obs Min Max
      showdata: no

    #proc categories
      axis: x
      datafield: Mode

    #proc areadef
      title: Throughput on Insert operation
      titledetails: size=14  align=C
      areaname: slide
      xscaletype: categories
      xautorange: datafield=Mode
      xaxis.stubs: usecategories
      xaxis.label: Threads across table sizes and % of input rates
    //  yrange: 0 70
      yautorange: datafield=Max,Min
      yaxis.stubs: inc
      yaxis.label: ops/ns
    //  yaxis.stubformat: %3.1f
      autowidth: 1.1
      autoheight: 0.07
      frame: yes

    #for LABEL in @NAMES
    #set NLABEL = $arithl(@NLABEL+1)
    #set COLOR = $icolor( @NLABEL )
    #proc legendentry
      label: @LABEL
      sampletype: color
      details: @COLOR

    #procdef catlines
      select: @Name = @LABEL
      catfield: Mode
      subcatfield: Threads
      subcats: auto
      plotwidth: 0.8
      #saveas C

    #proc catlines
      #clone C
      dpsymbol: shape=square radius=@LABLESIZE style=solid color=@COLOR
      valfield: Average
      errfield: sd

    #proc catlines
      #clone C
      valfield: Max
      dpsymbol: shape=triangle radius=@LABLESIZE style=solid color=@COLOR

    #proc catlines
      #clone C
      valfield: Min
      dpsymbol: shape=downtriangle radius=@LABLESIZE style=solid color=@COLOR

    #endloop

    #proc legend
      location: 3.2 max
      seglen: 0.2
    #endproc

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